What do we know about who does and does not attend general health checks? Findings from a narrative scoping review
© Dryden et al.; licensee BioMed Central Ltd. 2012
Received: 14 May 2012
Accepted: 24 August 2012
Published: 31 August 2012
General and preventive health checks are a key feature of contemporary policies of anticipatory care. Ensuring high and equitable uptake of such general health checks is essential to ensuring health gain and preventing health inequalities. This literature review explores the socio-demographic, clinical and social cognitive characteristics of those who do and do not engage with general health checks or preventive health checks for cardiovascular disease.
An exploratory scoping study approach was employed. Databases searched included the British Nursing Index and Archive, Cumulative Index to Nursing and Allied Health Literature (CINAHL), Cochrane Database of Systematic Reviews (CDSR) and Database of Abstracts of Reviews of Effects (DARE), EMBASE, MEDLINE, PsycINFO and the Social Sciences Citation Index (SSCI). Titles and abstracts of 17463 papers were screened; 1171 papers were then independently assessed by two researchers. A review of full text was carried out by two of the authors resulting in 39 being included in the final review.
Those least likely to attend health checks were men on low incomes, low socio-economic status, unemployed or less well educated. In general, attenders were older than non-attenders. An individual’s marital status was found to affect attendance rates with non-attenders more likely to be single. In general, white individuals were more likely to engage with services than individuals from other ethnic backgrounds. Non-attenders had a greater proportion of cardiovascular risk factors than attenders, and smokers were less likely to attend than non-smokers. The relationship between health beliefs and health behaviours appeared complex. Non-attenders were shown to value health less strongly, have low self-efficacy, feel less in control of their health and be less likely to believe in the efficacy of health checks.
Routine health check-ups appear to be taken up inequitably, with gender, age, socio-demographic status and ethnicity all associated with differential service use. Furthermore, non-attenders appeared to have greater clinical need or risk factors suggesting that differential uptake may lead to sub-optimal health gain and contribute to inequalities via the inverse care law. Appropriate service redesign and interventions to encourage increased uptake among these groups is required.
KeywordsHealth checks Screening Public health Inequalities Primary care
Anticipatory care  has increasingly been seen as a means by which the increasing demands of an aging population , growing numbers of people living with long term conditions, and persisting inequalities in health  may be addressed [4, 5]. A key feature of such approaches are general and preventive health checks, defined as interventions which include a physical examination and/or an assessment of demographic and lifestyle risk factors which assess an individual’s current health or predict their chance of developing illness in the future . These may be carried out for primary and secondary preventive purposes, as part of annual routine health check-ups required among older age groups , or embedded opportunistically within routine clinical encounters .
Regular community based general health check-ups are important for the early identification of risk factors for conditions such as heart disease, diabetes and stroke , as evidenced in the recent introduction of Health Check within the United Kingdom (UK) National Health Service (NHS). The evidence base to support such health checks rests predominantly on the known efficacy of the individual screening components subsumed within them. For example, recent National Institute for Health and Clinical Excellence (NICE) guidance on the prevention of cardiovascular disease points to the known effectiveness of interventions within health checks in relation to risk assessment, smoking, and physical activity . Such preventive health strategies may therefore also provide a cost effective way of dealing with the causes of ill health before they manifest into serious long-term conditions.
Despite the potential importance and benefit of such health checks, their uptake is known to be largely sub-optimal . For example, data illustrating the implementation of the recent NHS Health Check in the UK has shown uptake rates of around 50% . Furthermore, there is good reason to think that the pattern of uptake is likely to be differentially spread across socio-economic groupings and thus follow the inverse care law [13, 14]: those who have greatest to benefit from the services are least likely to engage with them. Differential uptake therefore has the potential to exacerbate health inequalities . Consequently, knowledge of the socio-economic correlates of high and low uptake is important if current services are to be appropriately adapted in order to rectify such inequity.
Community based health-checks which aim to effectively and efficiently screen maximum proportions of eligible populations, are likely to be complex interventions consisting of numerous potential parameters: method of invite, location, timing, and nature (duration and content) of the screening process. Consequently, the development of new forms of health check should consider the theoretical and empirical basis to support maximal uptake [15, 16].
What are the socio-demographic characteristics of those who do and do not engage with health checks?
What are their stated reasons for not attending health checks?
What are the clinical needs and risk factors of these non-attenders?
To examine the extent, range and nature of research activity
To determine the value of undertaking a full systematic review
To summarise and disseminate research findings
To identify research gaps in the existing literature” p6 .
This literature review followed an iterative scoping process which incorporated these objectives. The methodology was selected over the systematic review as its purpose was to explore the broad state of knowledge regarding attendance at general health checks rather than answer a clearly defined question. The breadth of potential studies and their heterogeneous nature meant that a scoping study with a narrative synthesis providing comprehensive representation of the evidence was more appropriate.
A search of bibliographic databases did not identify any existing systematic review which focused specifically on this topic, and a decision was made to develop an alternative search strategy designed specifically for the project.
Types of studies
Inclusion & exclusion criteria
· Western/developed countries
· Hard to reach populations
· High risk groups
· Disease-specific health checks/screening (other than heart disease)
· Geriatric annual health checks
· General health checks
· Heart disease health checks
· Studies from the developing world
· General/Heart AND other disease-specific health check
· Studies whose primary outcome was to increase uptake
· Non-English language papers
· Studies where uptake was documented (of the above interventions)
· Non-empirical opinion papers
· Papers published pre 1980
· Control group not necessary
· Initial uptake of screening and/or
· Long term engagement with services
Health services for the aged
(MH “Health Promotion”)
(MH “Preventive Health Services”)
(MH “Primary Prevention”)
(MH “Family Practice”)
S1 or S2 or S3 or S4 or S5 or S6 or S7 or S8 or S9 or S10 or S11
(MH “Health Services Accessibility”)
(MH “Patient Acceptance of Health Care”)
(MH “Patient Dropouts”)
(poor attend* or non-attend*)
(dropout* or drop* out*)
hard to reach
inverse care law
S13 or S14 or S15 or S16 or S17 or S18 or S19 or S20 or S21 or S22 or S23
S12 and S24
TI cancer or MW cancer or MJ cancer
S25 NOT S26
S25 NOT S26 (English language)
S25 NOT S26 (limited 1980–2010)
The search and review procedure was conducted systematically and is outlined below with the initials of the researchers involved alongside:
Ran search in databases individually (RD)
Removed duplicates within databases (RD)
Removed duplicates between databases (RD)
Papers screened for relevance by title (RD)
Papers independently screened for relevance by abstract (RD and CM)
Meeting to discuss agreement (RD, CM, BW)
Remaining papers screened using full text (RD and BW)
Hits by database
Number of references
Duplicates within own database
CDSR + DARE
Summary of included studies
Bletzer, K. V.
Review of a health fair screening program in Mid-Michigan
Programme evaluation Evaluation of sociodemographic data on attenders at health fairs over seven years and findings from a survey with a sample of participants
· Women consistently outnumbered men by a ratio of at least 3:2 every year
Health fair Open access 15124 participants
· Older people were more likely to present than younger people, with half of participants older than 50
· 90% of those surveyed had consulted their GP within the past two years
· The number of serious problems identified was low
· The main reason for attendance was “curiosity about health”
Medical checkups: Who does not get them?
· Reduced likelihood of having had health check in the previous 12 months was associated with being: 25-44 or over 65, male, unmarried, a smoker and in those who perceived cost barriers
· Check ups were more likely in people who earned over $75,000, had health insurance, were physically active, had chronic disease and who rated their health as good, fair or poor rather than good or excellent
Sample of 3600 individuals
Analysis of Iowa 1996 Behavioral Risk Factor Surveillance System
Attendance patterns and characteristics of participants in public cholesterol screening
Programme evaluation of cholesterol screening programme
· Participants more likely to be white (98.5% v 96.7%), older, female (59.9% v 51.6%) and better educated than the general population
Comparison of participant demographics with local census data
· 22% had previous diagnosis of high cholesterol and came to confirm/monitor previous readings
· 79% came to the store specifically for screening
· Time was an important factor as weekend and weeknights attracted more men and younger people than weekday screenings
8583 people were seen over 4months
· Less than 5% took time off work to participate
Health checks in general practice: Another example of inverse care?
· 1458 patients (65.9%) were offered screening
· Of those invited 963 (66%) attended for a health check
Attendance at General Practice health checks over
Medical record audit and postal questionnaire
· Attenders were more likely to be women, aged 45yrs or older, married, non-smokers and of higher social class than the non-responders to the invitation
2211 men and women aged 35-64 were in the target age group
· Relative likelihood for non-attendance was 1.24 for smokers, 1.20 for the overweight, 1.16 for heavy drinkers, 1.28 for those with a less healthy diet
Men were invited opportunistically, women were invited in the context of cervical smear tests
· Frequent GP consulters were more likely to attend
Jacobsen, B. K.
The Nordland Health Study - Design of the Study, Description of the Population, Attendance and Questionnaire Response
Quasiexperimental and survey
· 82% attended the screening
· 78% men and 86% women attended
Population screening and questionnaire
· Non-attenders tended to be single
· 84% married men attended screening compared to 65% divorced/single or widowed men
10497 patients aged 40-42 were invited
· 88% married women attended compared to 79% divorced/single or widowed women
Simpson, W. M.
Screening for risk factors for cardiovascular disease: A psychological perspective
· Overall uptake 62.4%; 59% at further education college, 28% at council cleansing department, 81% at greetings card factory.
3 studies (only two were relevant to literature review)
Mobile screening programme and prospective questionnaire
· In general attenders were significantly older and more likely to be female than non-attenders
1. Worksite screening at three workplaces:
· Attenders were more likely to have had a definite intention to attend, and were more aware of the availability of the service
Random allocation of invitation type
Further education college
· Non-attenders perceived more barriers to attendance and perceived themselves to be at higher risk of developing serious diseases
Council Cleansing department
One week after screening to assess intention to change behaviour
· The lower uptake at the council was attributed to the higher ratio of male to female employees, a lower education level and the youngest average age of all the workplaces
Greetings card factory
2. Organisation of a screening programme
· Uptake varied by invitation type
Three months after screening to measure behaviour change
· 100% opportunistic patients, 54% of those invited by letter and 29% personally invited attended the screening clinic
Uptake by invitation type:
· The method of offering screening did not affect changes in behaviour but those who engaged opportunistically were more likely to intend to smoke less.
1. Opportunistic screening by GP
2. Invitation and fixed appointment to attend screening with practice nurse
· Patients who engaged after being invited by letter or personally were more likely to eat less fat and take more exercise than those who engaged opportunistically
· Smokers were likely to attend than non-smokers
3. Personal invite by GP to make appointment for screening clinic with practice nurse
210 male patients
Thomas, K. J.
Case against targeting long term non-attenders in general practice for a health check.
Quasiexperimental Patient records were randomly sampled to assess attendance over a 3 year period.
· The median proportion of 3 year non-attenders was 23% in inner city practice compared to 9% in other practices
30 General Practices
· 310/679 non-attenders were not contactable v 320/379 attenders who were contactable. This was related to last recorded consultation
Random sample of 679 patients who had not attended for 3 years and 379 patients who had attended within this time
A sample of those who had attended in the past 3 years were invited for a health check and were invited to take part in a home interview two weeks before the health check
· Non-attenders were more likely to be female. Female non-attenders were more likely to be older than male non-attenders
· Non-attenders scored significantly better on six measures of perceived health status and used less accident and emergency services and preventive health care than attenders
Non-attenders were invited to a health check but were not interviewed
Non-participants in a preventive health examination for cardiovascular disease: characteristics, reasons for nonparticipation, and willingness to participate in the future
· 237 persons (76.7%) participated
Preventive health examination
· Of 72 non-attenders at the health examination, 53 (73.6%) responded to the questionnaire, 14 (19.4%) agreed to a telephone interview and 5 (6.9%) did not respond
309 persons aged 35 or 40yrs were invited to participate in a health examination
Follow up questionnaire mailed to nonparticipants
Follow up telephone interview with non-participants who did not respond to questionnaire
· The proportion of smokers was significantly higher in non-attenders v attenders at the health check (31.3% v 18.6%)
· Reasons for non-attendance included: lack of time or hindrances at work (52%), already in contact with health services (33%), or because they felt healthy (21%)
· However the majority of non-attenders (55%) said they would be interested in attending in the future, 28% said they were not sure, and 16% said they would not be interested
Do adults who believe in periodic health examinations receive more clinical preventive services?
· Non-endorsers of periodic health examinations received less preventive services
Logistic regression analysis of phone survey to assess attitudes towards periodic health examinations and the receipt of preventive services
· 8.5% (n=374) did not endorse annual periodic health examinations
· Non-endorsers tended to be male (odd ratio (OR) 1.64), younger (OR 0.87), white (OR 2.91), to have at least some college education (OR 1.43) and feel healthy (1.85)
· 56% of non-endorsers had received a cholesterol check in the previous 5 years compared to 81% of endorsers
A randomized trial of mail vs. telephone invitation to a community-based cardiovascular health awareness program for older family practice patients
· 58.3% of invited patients attended
1 family physician practice
randomised trial of invitation to attend community based by mail or telephone
· Patients invited by phone were more likely to attend than those by mail (72.3% v 44.0%)
5 community pharmacies
· Patients with a family history of cardiovascular disease were significantly more likely to attend
Telephone and mailed invitation
235 patients aged 65+
Health record review
The relationships between health beliefs and utilization of free health examinations in older people living in a community setting in Taiwan
· Higher uptake of health examination in those with higher education and socio-economic status, and those with increased family support (6% of users lived alone compared to 13% of non-users)
Free health examination in over 65s
Stratified random systematic sample of 200 men and women were given a 17 item health belief scale to complete
· Users perceived a higher level of seriousness and susceptibility to ill health than non-users
Bowden, R. G.
Comparisons of cholesterol screening participants and non-participants in a university setting
Case–control analysis of participants in worksite screening
· Participants were more likely to be male (68.5% v 53.7%), older (47.0 years v 40.4 years), white (91.9% v 78.7%), have a college degree (85.9% v 51.3%) and have higher mean salaries than nonparticipants ($50,054 v $30,009)
Invite with pay check
· Barriers to uptake in non-attenders were suggested to be cost, less flexible working hours, lack of access to communication methods including email, conspiracy theories around the employer’s motives and that the workers did not feel sick and did not need screened
587 random sample of nonparticipants
Barriers to Cholesterol Testing in a Rural- Community
Cross-sectional population based survey
· 24% reported prior cholesterol testing
· Factors associated with a reduced likelihood of ever having a cholesterol test: age under 45, less than 12 years education, income of less than $10,00, no health insurance, no doctor visit in past year, practicing 3+ cardiovascular risk factors
Invitation by telephone, leaflets and home visits
557 households contacted 508 (91%) participated Survey of 1063 people
973 (92%) screened for cholesterol
Comparison of risk factors for coronary heart disease among attenders and nonattenders at a screening programme
· Non-attenders were more likely to be older, have higher body mass index, cholesterol and blood pressure, and low socio-economic status, a personal/family history of heart disease, be smokers, have low educational level and high alcohol consumption than attenders
Random systematic sample of 1398 non-attenders identified 140 individuals who were repeatedly contacted and encouraged to attend a health check.
Mailed open invitation then fixed appointment mailed, telephone call and home visit for nonresponders
· Reasons given for not attending the initial screening programme were varied with 36.7% claiming not to have received the letter and 26.5% citing practical barriers
3800 patients invited for health check
2402 (63.2%) attended
98 non-attenders eventually presented for a health check and their results were compared to initial attenders
Aged 25-55 years
Influence of fatness, intelligence, education and sociodemographic factors on response rate in a health survey
· 964 obese (58%) and 1134 controls (75%) attended a health examination
Survey of cohort of severely obese men with a randomly selected control group invited to a health examination
· Regardless of study group, the response rate was independently associated with decreasing body mass index and increasing intelligence test score, educational level, social class, age up to 50 years old and proximity of residence to the screening location
362,200 male draftees to Danish military board
Mailed invitation and reminder
1651 identified as severely obese draftees
1504 controls were randomly selected from the remaining population
Non-participation and mortality in a prospective study of cardiovascular disease
British Regional Heart Study
· 7735 men (74.3%) participated in the study
Comparison of characteristics and mortality levels of participants and non-participants in clinical examination
· Non-participants had a significantly higher relative risk of death during the first three years after the screening date
Prospective study of cardiovascular disease in middle aged men
· Non-participants were more likely to be younger, unmarried and less skilled workers than participants
Sample of 10412 men aged 40-59 years
Factors affecting response to an invitation to attend for a health check
· 2205 attended (82.3%)
5 General Practices
Postal questionnaire before invite to attend a health check and subsequent record of attendance
· Non-attendance was higher in males than females (21% v 15%)
Invitation by mail or telephone, or opportunistically plus up to 3 reminders
· Non-attenders were more likely to be single than married (24% v 16%), manual rather non-manual workers (21% v 15%), living in rented accommodation rather than homeowners (29% v 16%) and not have access to a car rather than be a car user (27% v 16%)
2678 patients aged 35-64 were invited to attend a health check
· Non-attenders were less healthy than attenders as shown by following odd ratios: 1.74 smokers, 1.07 heavy drinkers, 1.91 less healthy diet, 1.50 for obese patients
· Attenders were more likely to visit their GP frequently and indicate a willingness to change their behaviour
Dignan, M. B.
Factors associated with participation in a preventive cardiology service by patients with coronary heart disease
· 24 patients (39%) attended the clinic
· No statistically significant demographic differences were found between attenders and non-attenders
Face to face open invitation and follow up letter
· Patients who attributed their hospitalisation to a heart attack or coronary bypass surgery were more likely to attend the clinic than those who attributed admission to chest pain or for diagnostic reasons
Follow up of patients who were hospitalised for heart related conditions to assess reasons for nonattendance at secondary prevention clinic
Registration health checks: Inverse care in the inner city?
· Non-attenders were significantly more likely to be unemployed, African, heavy smokers and of lower social class than attenders.
7 GP practices
Face to face open invitation
· Demonstrated that invitations to health checks given in an unselected way are least likely to engage with those in most need
356 patients: 101 declined/provided inadequate data
Of the remaining 256 patients, 118 attended a health check (46%)
Health beliefs of blue collar workers: increasing self efficacy and removing barriers
Cross-sectional, descriptive, expost facto questionnaire
· 151 (75.5%) completed questionnaires
Health beliefs of participants and non-participants in worksite blood pressure and cholesterol screening
· 45 workers (22.5%) subsequently attended a health check
· No significant difference between respondents and participants by age, race, education, gender, marital status, shift or health history
· Workers who participated in the screening had significantly higher self-efficacy and perceived significantly fewer barriers to participation than non-attenders
Convenience sample 200 blue collar workers
Boshuizen, H. C.
Non-response in a survey of cardiovascular risk factors in the Dutch population: Determinants and resulting biases
Logistic regression of determinants of participation in a health examination survey in previous participants in a health interview study
· 28.9% patients participated in a health examination that had participated in an earlier health interview survey
3699 participants from a sample of
· Participants were more likely to be male and have high socio-economic status
12786 previous participants
· Participation increased with age until 60 then decreased sharply thereafter
· The rural population were less likely to participate
· There was evidence of the “worried well” with frequent consulters and those with good health more likely to attend
· The unemployed were least likely to attend but participation decreased with increasing hours of work
Invitation to attend a health check in a general practice setting: comparison of attenders and non-attenders
· Attenders were generally better educated, of higher social status, had greater health motivation, fewer ties and commitments, attended church more regularly, employed, performed more health approved practices, had had more recent contact with GP, and accepted the legitimacy of the doctor’s interest in their lifestyle than nonattenders
Comparison of demographics, attitudes, beliefs, preventive health behaviour and past contact with the practice between attenders and non-attenders
Sample of 259 non-attenders and 216 attenders aged between 20 and 45
· Attenders were more likely to have no children under 5, no dependents and have fewer than 6 contacts a month with friends or relatives than nonattenders
· Non-attendance was associated with greater perceived support from family and friends
Persson, L. G.
A Study of Men Aged 33-42 in Habo, Sweden with Special Reference to Cardiovascular Risk-Factors
· 652 men (86.1%) had attended after one mail invitation
Follow up of non-attenders by mailed questionnaire and telephone
Postal invitation plus two reminders
· Of 105 non-participants, 16 were known high consumers of health care, 40 had recently had a health examination (mostly at work) and 49 were not interested in a health check
757 men aged 33-42 were invited to attend for a health check
· Non-attenders were more likely to be single, smokers, on the sick list, on a lower income or more often unemployed than attenders
Characteristics of attenders and non-attenders at health examinations for ischaemic heart disease in general practice
· Attendance was higher in free health examinations than those which charged a fee (66% v 37%) · Attendance was significantly lower in single men than cohabitants
65 General Practices
Multi-practice study and questionnaires to assess the influence of a fee to attend a health examination
Health examinations for ischaemic heart disease
· Whether the service was free or not was the biggest predictor of attendance as health beliefs of attenders and non-attenders were similar
Letter invitation 2452 men aged 40-49 years were invited to attend
Continuous opportunistic and systematic screening for hypertension with computer help: Analysis of nonresponders
· 2354 patients (92%) had blood pressure recorded in the previous 5 years after 2 years
Audit of medical records
Opportunistic hypertension screening
· Those who had been screened have higher consultation rates (6x greater) than non-responders
Analysis of characteristics of 192 nonresponders
· There was no difference by distance to the practice or number of years registered with the practice
2546 patients aged 40-64 years
· The only significant difference was that nonresponders were the only people in a household registered with a practice which was interpreted that they were either single or had a lack of need to identify with the “family” doctor
Participation in Community Health Screenings: A Qualitative Evaluation
Qualitative Focus groups
· Described domains of motivation for presentation:
Participants in screenings at 5 settings:
5 with attenders
· Self-care orientations (e.g. self-assessment/no perceived need)
1 with nonattenders
· Interpersonal influences (e.g. endorsement by others/fear of embarrassment)
· Accessibility (e.g. convenience/lack of time)
County fair attendees
· Overlap of facilitators and barriers to participation; what motivated one participant to attend may act as a barrier to another
Senior citizen centre clientele
Local industry employees
Group of non-attenders
Feasibility of a tailored intervention to improve preventive care use in women
Survey to identify outstanding preventive health care needs
· 591 women (67%) returned the survey
Survey mailed to 893 women aged 50-55
· 76% were in need of one or more preventive health service
· 16% were in need of 3 or more
· Women with increasing need for preventive health services were more likely to be non-white, earn less, have a lower level of education, and be less satisfied with their health care
Predicting attendance at health screening: Organizational factors and patients’ health beliefs
· 131 (59.3%) questionnaires were returned. From this group 98 attended and 33 did not attend the subsequent health check
A health belief questionnaire was sent to sample of 221 patients who were subsequently invited for screening
Mailed fixed appointment or invited opportunistically
· The two invite methods had similar attendance rates but the letter invite was more efficient, as opportunistic screening relied on patients presenting at their GP before they could be invited
325 patients aged between 30 and 50
· Opportunistic screening was slightly biased in favour of females
· Attenders were more likely to report cutting back on daily activities when ill and believe in the seriousness of high blood pressure and weight problems
Health belief questionnaire
11 patients were interviewed directly after their screening appointment
· Non-attenders were found to be more worried about the screening appointment and perceived more barriers to attendance
Correlates of health screening utilization: The roles of health beliefs and selfregulation motivation
A convenience sample of 252 asymptomatic individuals were invited to participate in one of four screening programmes: dental check up, blood pressure measurement and cholesterol testing, pap smear or mammography
· 137 (54%) attended and 115 (46%) did not attend
Analysis of participants in a screening programme
· Motivations and health beliefs varied by screening programme
· Non-attenders were more likely to justify their nonattendance behaviour with danger control motivations than fear control ones
Questionnaire tailored to specific screening programme and whether individual attended or did not attend
· 61% non-attenders did not believe in the efficacy of screening in reducing their illness threat whereas 39% were too afraid of the possible results to attend
The role of social cognition models in predicting attendance at health checks
Prospective survey/programme evaluation
· 419 patients were sent open invitations
· 399 patients were sent fixed appointments
Mailed invitation with fixed appointment time or open invitation
· 433/818 patients attended a health check; 69.7% of those sent fixed appointments and 37.1% sent open invitations attended
Health belief questionnaires sent before patients received invite letters
· Questionnaire data showed that for those that were sent a fixed appointment, attenders were more likely to place a high value on health, to believe health is influenced by powerful others, to be advised by referent groups to attend, to believe in the positive outcomes of screening and to not be affected by motivational barriers than nonattenders
818 patients aged between 30 and 41 were invited to attend a health check
Patients randomly allocated to receive either a letter of invitation with either a fixed appointment or an open invitation to make their own appointment
· For those sent an open invitation, intention to attend and perceived control were independent predictors of attendance behaviour
Patients’ views on health screening in general practice
· Of the 168 invited by letter, 121 patients (72%) attended a health check
Mailed fixed appointment or invited opportunistically
Patients randomly selected to be invited to general health screening in one of two ways:
· Only 83/157 patients had been invited opportunistically, but attendance in those that had been invited was 74.7%
· The remaining patients who had not yet been invited opportunistically were sent a fixed appointment which produced 55.4% attendance
Sample of 379 patients aged 30- 50 years, 325 were invited after exclusion of unsuitable patients
· 159/224 patients returned their questionnaires
Letter with fixed appointment (n=168) or notes were tagged so patient was invited opportunistically to make an appointment for a health check when they presented at the practice for another reason (n=157)
· Those invited opportunistically were most likely to report that keeping their appointment time was easy, and were least likely to change it.
· Those given fixed appointments experienced more difficulty in attending even if they were well motivated
Questionnaire was issued after health check to assess views of health check
11 patients were interviewed
Nielsen, K. D. B.
“You can’t prevent everything anyway”: A qualitative study of beliefs and attitudes about refusing health screening in general practice
· Reasons for non-attendance: too busy, healthy, recent contact with general practice, don’t want to know if ill, no symptoms, major life events, actual health problems
Interview with sample of 18 non-participants in a randomised control populationbased project
· They stressed the importance of autonomy, and that they would go to see their doctor when they needed to
Non-participants were sampled using stratified purposeful techniques
Intention to attend a health screening appointment: Some implications for general practice
· Initial questionnaires were returned by 178 patients (37% response rate)
Patients randomly selected from practice list by age/sex bands (25-30, 35-40, 45-50 years)
Questionnaire to assess predictors of intention to attend a health check
· Reminder questionnaire returned a further 97 replies. An additional 29 questionnaires were excluded due to incorrect addresses or being incompletely filled in. Response rate was 57% (n=275)
479 patients aged25-50
· Those who intend to attend a health check placed a high value on their health; believe in their susceptibility to common illnesses and the severity of major illnesses. They believe in the efficacy of doctors and screening, have someone to talk to about problems and are more likely to be married or cohabiting.
· Those who are likely to not attend have different attitudes towards screening and believe it would be too much effort or feel concerned about aspects of screening
Cultural sensitivity and day care workers: examination of a worksite based cardiovascular disease prevention project
Programme evaluation of screening initiative over three years
· Participation rates were increased from 26% to 73% over the duration of the project by adapting recruitment strategies to the target group’s cultural values and lifestyles, and building trust
“Healthier people health risk appraisal”
Strategy to recruit child day care workers in a cardiovascular disease screening and risk reduction programme
· 70% of participants cited convenience (because it was offered at their workplace) and the fact that it was free as motivators to attend
Interview with participants
· A lack of knowledge of cardiovascular risk was identified in this population as just over 10% of participants were aware of their blood pressure or blood cholesterol
· Non-participants had been tested recently or were not interested in the screening at the time it was offered
Ornstein, S. M
Barriers to adherence to preventive services reminder letters: the patient’s perspective
Qualitative Telephone survey (n=307)
· 307 patients were surveyed by telephone to assess reasons for non-response to a letter for screening
Reminder letters sent to 1077 patients
Focus groups of non-responders to a reminder letter (n=27)
· 154 (50.2%) did not recall receiving the letter, 84 (27.4%) recalled receiving the letter but not its content, 69 (22.5%) recalled both
· Highlighted the importance of the format and content of reminder letters to improve uptake of cholesterol checks by making them distinguishable from a bill, conveying a personalised message and addressing logistical barriers
Invitation to attend a health check in a general practice setting: the views of a cohort of nonattenders
· 236 (91%) recalled getting the invitation, 3% could not remember and 6% denied ever receiving the invitation
259 men and women aged 20- 45 who did not respond to a mailed invitation for a health check at General Practice
Interview of nonattenders
· Reasons for non-attendance: 44% were not interested, 24% forgot to attend, 26% cited crises at home or work, 11% felt screening was inappropriate
Thompson, N. F.
Inviting infrequent attenders to attend for a health check: costs and benefits
· 17/94 patients (18%) attended
Audit of sample of practice records (n=1488) to identify all 3- year nonattenders (n=114) an invitation including fixed appointment time was sent to 94 eligible patients
· Of the remaining 77 patients, 3 had moved home, 28 cancelled the appointment and nothing was heard from 45, the final patient had been admitted for a myocardial infarction before the appointment
Mailed fixed appointment
94 patients who had not attended general practice within the previous 3 years were invited for a health check
· Of those who cancelled, 8 were working or studying away from home, 4 found the appointment time unsuitable but did not wish to rearrange and 16 did not need or want an appointment
· Those presenting were in general healthy with low levels of smoking and alcohol consumption and mild hypertension only diagnosed in one patient.
Reasons for nonresponse among older adults
Letter to the editor describing study which invited over 75s for a health check
· 847 attended
· 182 were untraceable (had moved home or were deceased)
1342 invited for a health check
· 44 actively declined
· 142 attended after a follow up telephone call
· 120 did not attend because they had seen their GP within last 12 months
Reasons for nonresponse were assessed with a questionnaire
· 7 did not respond because of ill health
· The variety of reasons for non-response indicated that non-attendance does not always equate to poor health
Levine, J. A.
Are patients in favour of general health screening?
· 315/375 (84%) attenders completed the questionnaire
375 consecutive patients 198 individuals who had not attended general practice for 12 months
· 93/198 (47%) non-attenders completed the questionnaire · A significantly greater proportion of attenders (83%) indicated they would make an appointment and attend for health screening compared to nonattenders (66%)
· 33% of attenders would seek health screening even if not contacted by their doctor v 16% of nonattenders
What are the socio-demographic characteristics of those who do and do not engage with health checks?
Studies consistently indicate that males are less likely to engage with health checks or screening and to endorse periodic health examinations than females [20–28]. This difference in rates of non-attendance between males and females ranged from 8% to 19% in those invited for a health check at General Practice [21, 23, 24]. In community based drop-in sessions, women were more likely to self-present than males, with the proportion of attenders at least 60-65% female [20, 22]. Additionally, 11% of men compared to 6% of women did not endorse periodic health examinations . Two other studies found no difference in attendance rates by gender [29, 30].
In general, attenders at health checks are older than non-attenders [20–23, 25, 31–35], although some studies found no association between age and attendance [29, 30, 36–39]. In many cases the demographics of engagers were dependent on the targeting strategy of the intervention; for example where the service was only offered to a particular age group. Some of the included studies were targeted specifically at older adults while others were offered to an entire adult practice population. Although there was a tendency for attenders to be older than non-attenders, the heterogeneous nature of the study methodologies meant that it was difficult to define an optimum age for uptake. Indeed, the relationship between age and participation may not be linear. For example, participation in a health examination after completion of a health interview in the Netherlands followed a curve which rose with increasing age until 60 then declined significantly with any age above this .
Individuals were found to be less likely to attend if they had low socio-economic status [23, 33, 34, 36, 38, 40, 41]. Defining which socio-economic/demographic characteristics differentiate between attenders and non-attenders was complicated by the numerous ways social status was reported in the literature. Some studies discussed social class, employment status, occupational training and level of education or years spent in education independently; whilst others used the terms interchangeably or as proxy measures for each other. In general lower uptake was associated with low incomes [21, 30–32, 42], being unemployed [38, 41, 42] and lower educational attainment [22, 25, 27, 31–34, 41]. Although these terms may be closely related, one study found that each had an independent effect on the attendance rate .
An individual’s marital status was found to affect attendance rates with non-attenders more likely to be single [21, 23, 24, 35, 36, 42]. Studies suggested a possible interaction between marital status and gender in explaining uptake. For example, a number of studies reported that attendance at health checks was higher in males who were married or cohabiting, compared to single males [21, 24, 35, 42–44]. A possible explanation was proposed in a qualitative study using focus groups with participants and non-participants in community health screenings, which found that the decision to attend a screening is often made by the partner, with this initiation behaviour prevalent across a number of socio-demographic factors .
The tendency of women to present more than men (as evidenced earlier) persists regardless of marital status. Higher rates of attendance in women who were single, divorced or widowed (79%) were found compared to men with equivalent marital status (65%). Furthermore, the rates of attendance were 88% in married women and 84% in married men, indicating that being married appears to have a stronger effect on uptake in men . Other studies have found no relationship between marital status and attendance rates [39, 41, 46].
In general, white individuals were more likely to engage with preventive health services than individuals from other ethnic backgrounds [22, 31, 38, 40, 46]. However, ethnicity was only reported in a small proportion of the studies (Seven of 39 papers). Only one of these reported no difference according to race . One paper reported a higher proportion of non-attenders at registration health checks were of African origin . On the other hand, a large American survey (n = 4879) found that 9.6% of white people did not believe in periodic health examinations compared to 3.4% of black people, and that black people were more likely to have been screened for cholesterol in the past 5 years than white people .
What are patients' reasons for not attending preventative health checks?
The relationship between social cognitive factors and attendance behaviour was not straightforward as although health beliefs were found to affect uptake , the factors influencing the decisions of attenders and non-attenders may not necessarily reflect “opposite motivations of beliefs” . To clarify, this meant that attenders may present for screening to reduce the fear or perceived danger of a condition, while non-attenders may have used the same rationale to not present, e.g. they did not feel at risk or were too frightened of the possible outcome if they did attend.
Despite this caveat, non-attenders were shown to value health less strongly, have lower self-efficacy, feel less in control of their health and be less likely to believe in the efficacy of screening [39, 49]. Components of the health belief model were identified as significant predictors, with those who did not engage with services less likely to feel susceptible to ill health or perceive the conditions being screened for as serious as those who attended [25, 30, 48].
Individuals may present in response to symptoms, a family history of the condition , or to seek reassurance . Others are simply interested in their health, seek confirmation of a previous reading/monitor an existing condition or are worried well [20, 22, 45]. Those who do not present may have no perceived need for a health check: they may feel healthy or have an absence of symptoms [27, 33, 51, 52], are already in contact with the health service [27, 33, 41, 51, 53], or have recently had a health check [27, 51, 54]. Alternatively, they are aware they are unhealthy and do not want to be told off and have to make lifestyle changes, or have a fear of what it might find [26, 28, 31, 47, 51].
Fear acted as a barrier to uptake of screening in a number of ways, including: a fear of what the health check might find [33, 52, 55], the belief that “what I don’t know won’t hurt me”  and that knowing wouldn’t make them any happier , or the fear of the test results [25, 45] and their consequences . Concerns related to the procedure itself were also apparent in relation to a fear of needles or a general fear of doctors or medical settings, anxiety about what the tests might involve [45, 47] or the experience level of those carrying out the tests .
What are the clinical needs and risk factors of those who present for health checks?
Non-attenders had a greater proportion of cardiovascular risk factors than attenders. Smokers were less likely to attend than non-smokers [21, 23, 25, 27, 32, 33, 36, 38, 42, 46, 56]. Unhealthy lifestyle factors were important predictors of non-attendance, with odds ratios higher for smokers, heavy drinkers, and those with unhealthy diets and the obese . However, one paper showed occasional smokers and ex-smokers were more likely to receive a check-up than non-smokers  and smokers with the intention of giving up were more likely to attend than those who did not want to .
A personal history but not family history of coronary heart disease (CHD) was significantly more common in non-attenders, as was a higher body mass index (BMI) , high cholesterol, systolic and diastolic blood pressure values .
Follow up of non-participants in a prospective study of cardiovascular disease found that this group were more likely to have died than participants in the three years following the health checks. The difference in the mortality rates between participants and non-participants was biggest in the youngest age group (40–44 year olds), indicating premature death. However, the mortality rates were not significantly different between these groups for cardiovascular disease or cancer .
The vast majority of studies supported the higher risk profile of non-attenders; however, non-attenders were found to have lower levels of cholesterol than those who did attend in a post-study follow up . In another study initial responders had higher total cholesterol but lower diastolic blood pressure than those who had to be re-contacted .
In general, frequent or recent consulters at General Practice were found to be more likely to present for a health check [23, 32, 36, 40, 41, 44] but for some people this recent or on-going contact can be a reason not to attend [27, 42, 51, 57]. Consequently, this inconsistent relationship between frequency of attendance at GP practice and the likelihood of participation in preventive health screening has been described as ‘complex’ , and the two areas are inherently related. Some studies have shown that frequent or recent GP consulters are more likely to attend for a health check [23, 32, 36, 40, 41, 44]; for example, over 90% of patients who attended a health check at a shopping centre reported having a regular source of medical care . Conversely, other patients cited recent or ongoing contact with their GP as reasons for not attending a health check [27, 42, 51, 57]. A survey of attenders and non-attenders at General Practice in the past year showed that attenders were more likely to indicate that they would make an appointment for a health check compared to non-attenders (83% v 66%) .
This review identified a substantial number of primary empirical studies contributing data to questions of uptake. Although the heterogeneous nature of interventions and populations precluded formal statistical meta-analysis, there appeared sufficient commonality across studies to inform a number of key conclusions. Routine health check-ups appear to be taken up inequitably with gender, age, socio-demographic status and ethnicity all associated with differential service use. Furthermore, non-attenders appeared to have greater clinical need or risk factors suggesting that differential uptake may lead to sub-optimal health gain and contribute to inequalities via the inverse care law. Our findings provide an initial contribution to the development of programme theories or conceptual frameworks to underpin future strategies, as suggested by NICE and others [59, 60].
Limitations of the review
Established and appropriate search strings were not available thus necessitating the development of new strategies. Like all reviews we cannot guarantee that studies have not been missed. However, our emphasis was on sensitivity over specificity resulting in almost 18,000 papers being examined by members of the team. We therefore believe that it is likely that few papers were missed. The purpose of the review was to identify sufficient studies across diverse contexts to inform the theoretical and practical development of future interventions to improve uptake of health checks. This necessary focus on diversity also meant that formal statistical meta-analysis or meta-regression of predictors of uptake would have been inappropriate.
The majority of studies came from North America (n = 13) and Europe (n = 24), and the remaining two papers were from Israel and Taiwan. There may have been benefits from loosening inclusion criteria to include both geriatric health checks and non-developed countries. Such diversity could potentially lead to sufficient numbers of papers with common interventions or populations as to justify a number of meta-analyses of effectiveness or meta-regression of predictors of uptake. While the scoping nature of this study precluded such an approach for pragmatic reasons we have demonstrated that such a review may be feasible and desirable in the future.
The inverse care law in operation
In his original description of the inverse care law Julian Tudor Hart’s argued that “the availability of good medical care tends to vary inversely with the need for the population served” . The validity of his law was demonstrated in a number of studies and in a number of ways in our review. Men from lower socio-economic backgrounds and on low incomes were consistently found to be less likely to engage with check-ups than women or people from a higher socio-economic status. Both of these variables are well established risk factors for a range of clinical conditions, perhaps most importantly in the context of this study, cardiovascular disease. This, again, was reinforced through this review since non-attenders were consistently found to have a range of poor lifestyle behaviours including smoking, alcohol consumption and diet. These findings suggest that without adaptation or increased efforts to increase uptake from these more “needy” populations there is the possibility that health checks, like other contemporary public health policies, risk exacerbating rather than narrowing health inequalities .
Implications for future service design
Given the diversity of populations, clinical needs and motives not to attend health checks, a “one size fits all” solution consisting of promoting attendance at health checks and subsequent support for behaviour change is simplistic and flawed, particularly in the interaction with patients with complex needs . Indeed, the current focus on a limited number of delivery types, and a failure to tailor services may at least in part contribute to the problem. However, while it would appear sensible to assume that complex problems require complex solutions, there may be exceptions. The increasing role of both social marketing and financial incentives as drivers of behaviour change both focus on increasing perceived value while not essentially changing the service itself or addressing many of the pre-stated barriers. Incentive based schemes are gaining significant attention as a means of promoting behaviour change through extrinsic motivations [63–65]. However, such schemes have led to a number of questions with regard to political acceptability, ethical justification and effectiveness. In addition, questions over their ability to sustain behaviour modification, once an incentive is withdrawn, were raised . Given the preponderance of people on lower incomes among non-attenders, incentive schemes, whether based on finance or benefits in kind, may prove particularly effective and could be considered.
If tailoring of health check-ups is to take place then consideration would need to be given to the varied demands that this would place on health professionals charged with delivering the service. Among the challenges surrounding service delivery are clinician’s frequently low adherence to protocols on prevention within consultations [66–68]. This may be related to a lack of awareness of, and agreement with, guidelines, or a belief that many practices and outcomes would be difficult to change due to time pressure and other issues [69, 70].
Moreover, clinicians in deprived communities are faced with higher rates of ill health and multi-morbidities, poor patient access, and high stress levels among clinicians, which in turn lead to higher demands on the service and service provider . Diversifying the provision of health checks to multiple tailored forms may well exacerbate these pressures and reduce service compliance to such new protocols unless tailoring is largely cost and time neutral. Certainly, increasing intervention complexity may be associated with reduced levels of implementation. An alternative approach may be to provide increased emphasis on opportunistic health checks at routine consultations; although even this has still been found to be time consuming . However, it has recently been suggested from a substantive evaluation of a complex outreach prevention service that the complexity of reasons for non-engagement among some people may not be predictable or “read in advance” ; this would suggest that whatever tailoring to services is made there will always be an imperative on the skill of the clinician to judge and respond to unique opportunities within the opportunistic consultation as well as wider systems approaches .
All of these challenges and complexities indicate that a diverse range of approaches may be required if the full benefit of health checks are to be realised. While tailoring and targeting the form of delivery may have a role to play, it is likely that their implementation would require increased investment to ensure adoption and sustainability, particularly if narrowing health inequalities is a serious and central goal of such health checks. The Marmot report “Fairer Society Fairer Lives”, recently argued for a policy of “proportionate universalism”:
“Focusing solely on the most disadvantaged will not reduce health inequalities sufficiently. To reduce the steepness of the social gradient in health, actions must be universal, but with a scale and intensity that is proportionate to the level of disadvantage. We call this proportionate universalism.” p15 .
Such proportionate universalism would define “tailoring” as much in terms of the scale and intensity of action required for those most in need, as much as any changes in objective intervention form. Whatever approach is adopted, it is important that a clear theoretical underpinning that acknowledges both the complexity of the diverse population needs/attitudes and the challenges currently facing primary care and associated public health services is required. This synthesis of current findings has attempted to make a contribution to such a development.
- Van den Dool C: Allgemeinmedizin. International. 1973, 3: 100-Google Scholar
- Riley JC: Rising life expectancy: A global history. 2001, Cambridge: Cambridge University PressView ArticleGoogle Scholar
- Hanlon P, Walsh D, Buchanan D, Redpath A, Bain M, Brewster D, Chalmers J, Muir R, Smalls M, Willis J, et al: Chasing the Scottish effect: Why Scotland needs a step-change in health if it is to catch up with the rest of Europe. 2001, Glasgow: Public Health Institute of Scotland/Information and Statistics DivisionGoogle Scholar
- Scottish Executive Health Department: Building a health service fit for the future - A national framework for service change in the NHS in Scotland. 2005, Edinburgh: The Scottish ExecutiveGoogle Scholar
- The Scottish Government: Better health, better care: Action plan. 2007, Edinburgh: The Scottish GovernmentGoogle Scholar
- The Scottish Government: Equally well: Report of the ministerial task force on health inequalities. 2008, Edinburgh: The Scottish GovernmentGoogle Scholar
- Delivering the NHS health check: A practical guide to implementation. http://www.healthcheck.nhs.uk/Library/F26E1C01d01.pdf,
- Watt G, O’Donnell C, Sridharan S: Building on Julian Tudor Hart’s example of anticipatory care. Primary Health Care Research and Development. 2011, 12 (1): 3-10. 10.1017/S1463423610000216.View ArticlePubMedGoogle Scholar
- U.S. Preventive Services Task Force: Guide to clinical preventive services. 2004, Rockville: Agency for Healthcare Research and QualityGoogle Scholar
- National Institute for Health and Clinical Excellence: Prevention of cardiovascular disease (PH25). 2010, London: National Institute for Health and Clinical ExcellenceGoogle Scholar
- Over-40s health check provision in England ‘patchy. http://www.bbc.co.uk/news/health-16137013,
- NHS health check national learning network 13th workshop. http://www.healthcheck.nhs.uk/Library/DHupdateonlyMarch2012v12.ppt,
- Dalton ARH, Bottle RA, Okoro C, Majeed FA, Millett C: Uptake of the NHS health checks programme in a deprived, culturally diverse setting: cross sectional study. J Epidemiol Community Health. 2011, 65: A21-View ArticleGoogle Scholar
- Tudor Hart J: The inverse care law. Lancet. 1971, 297 (7696): 405-412. 10.1016/S0140-6736(71)92410-X.View ArticleGoogle Scholar
- Medical Research Council: A framework for development and evaluation of RCTs for complex interventions to improve health. 2000, London: Medical Research CouncilGoogle Scholar
- Craig P, Dieppe P, Macintyre S, Michie S, Nazareth I, Petticrew M: Developing and evaluating complex interventions: the new medical research council guidance. BMJ. 2008, 337: 1655-10.1136/bmj.a1655.View ArticleGoogle Scholar
- Arksey H, O’Malley L: Scoping studies: towards a methodological framework. International Journal of Social Research Methodology. 2005, 8 (1): 19-32. 10.1080/1364557032000119616.View ArticleGoogle Scholar
- Richardson WS, Wilson MC, Nishikawa J, Hayward RS: The well-built clinical question: a key to evidence-based decisions. ACP J Club. 1995, 123 (3): A12-A13.PubMedGoogle Scholar
- Popay J, Roberts H, Sowden A, Petticrew M, Arai L, Rodgers M, Britten N, Roen K, Duffy S: Guidance on the conduct of narrative synthesis in systematic reviews. A product from the esrc methods programme. 2006, Lancaster; Institute of Health Research: ESRC Methods ProgramGoogle Scholar
- Bletzer KV: Review of a health fair screening program in Mid-Michigan. J Community Health. 1989, 14 (3): 149-157. 10.1007/BF01324364.View ArticlePubMedGoogle Scholar
- Culica D, Rohrer J, Ward M, Hilsenrath P, Pomrehn P: Medical checkups: who does not get them?. Am J Public Health. 2002, 92 (1): 88-91. 10.2105/AJPH.92.1.88.View ArticlePubMedPubMed CentralGoogle Scholar
- Greenland P, Hildreth NG, Maiman LA: Attendance patterns and characteristics of participants in public cholesterol screening. Am J Prev Med. 1992, 8 (3): 159-164.PubMedGoogle Scholar
- Waller D, Agass M, Mant D, Coulter A, Fuller A, Jones L: Health checks in general practice: another example of inverse care?. BMJ. 1990, 300 (6732): 1115-1118. 10.1136/bmj.300.6732.1115.View ArticlePubMedPubMed CentralGoogle Scholar
- Jacobsen BK, Stensvold I, Fylkesnes K, Kristiansen IS, Thelle DS: The Nordland health study - design of the study, description of the population, attendance and questionnaire response. Scand J Soc Med. 1992, 20 (3): 184-187.PubMedGoogle Scholar
- Simpson WM, Johnston M, McEwan SR: Screening for risk factors for cardiovascular disease: a psychological perspective. Scott Med J. 1997, 42 (6): 178-181.PubMedGoogle Scholar
- Thomas KJ, Nicholl JP, Fall M, Lowy A, Williams BT: Case against targeting long term non-attenders in general practice for a health check. Br J Gen Pract. 1993, 43 (372): 285-289.PubMedPubMed CentralGoogle Scholar
- Wall M, Teeland L: Non-participants in a preventive health examination for cardiovascular disease: characteristics, reasons for non-participation, and willingness to participate in the future. Scand J Prim Health Care. 2004, 22 (4): 248-251. 10.1080/02813430410006611.View ArticlePubMedGoogle Scholar
- Cherrington A, Corbie-Smith G, Pathman DE: Do adults who believe in periodic health examinations receive more clinical preventive services?. Prev Med. 2007, 45 (4): 282-289. 10.1016/j.ypmed.2007.05.016.View ArticlePubMedPubMed CentralGoogle Scholar
- Karwalajtys T, Kaczorowski J, Chambers LW, Levitt C, Dolovich L, McDonough B, Patterson C, Williams JE: A randomized trial of mail vs. telephone invitation to a community-based cardiovascular health awareness program for older family practice patients [ISRCTN61739603]. BMC Fam Pract. 2005, 6: 35-10.1186/1471-2296-6-35.View ArticlePubMedPubMed CentralGoogle Scholar
- Hsu HY, Gallinagh R: The relationships between health beliefs and utilization of free health examinations in older people living in a community setting in Taiwan. J Adv Nurs. 2001, 35 (6): 864-873. 10.1046/j.1365-2648.2001.01924.x.View ArticlePubMedGoogle Scholar
- Bowden RG: Comparisons of cholesterol screening participants and non-participants in a university setting. International Electronic Journal of Health Education. 2001, 4: 100-104.Google Scholar
- Franks P, Gold MR, Bell BP, Naumburg EH, Engerman J: Barriers to cholesterol testing in a rural-community. J Fam Pract. 1991, 32 (6): 614-618.PubMedGoogle Scholar
- Jones A, Cronin PA, Bowen M: Comparison of risk factors for coronary heart disease among attenders and non-attenders at a screening programme. Br J Gen Pract. 1993, 43 (374): 375-377.PubMedPubMed CentralGoogle Scholar
- Sonne-Holm S, Sorensen TIA, Jensen G, Schnohr P: Influence of fatness, intelligence, education and sociodemographic factors on response rate in a health survey. J Epidemiol Community Health. 1989, 43 (4): 369-374. 10.1136/jech.43.4.369.View ArticlePubMedPubMed CentralGoogle Scholar
- Walker M, Shaper AG, Cook DG: Non-participation and mortality in a prospective study of cardiovascular disease. J Epidemiol Community Health. 1987, 41 (4): 295-299. 10.1136/jech.41.4.295.View ArticlePubMedPubMed CentralGoogle Scholar
- Thorogood M, Coulter A, Jones L, Yudkin P, Muir J, Mant D: Factors affecting response to an invitation to attend for a health check. Journal of Epidemioogy and Community Health. 1993, 47 (3): 224-228. 10.1136/jech.47.3.224.View ArticleGoogle Scholar
- Dignan MB, Young LD, Crouse JR, King JM: Factors associated with participation in a preventive cardiology service by patients with coronary heart disease. South Med J. 1995, 88 (10): 1057-1061. 10.1097/00007611-199510000-00011.View ArticlePubMedGoogle Scholar
- Griffiths C, Cooke S, Toon P: Registration health checks: inverse care in the inner city?. Br J Gen Pract. 1994, 44 (382): 201-204.PubMedPubMed CentralGoogle Scholar
- Wilson S, Sisk RJ, Baldwin KA: Health beliefs of blue collar workers: increasing self efficacy and removing barriers. AAOHN J. 1997, 45 (5): 254-257.PubMedGoogle Scholar
- Boshuizen HC, Viet AL, Picavet HSJ, Botterweck A, Van Loon AJM: Non-response in a survey of cardiovascular risk factors in the Dutch population: determinants and resulting biases. Public Health. 2006, 120 (4): 297-308. 10.1016/j.puhe.2005.09.008.View ArticlePubMedGoogle Scholar
- Pill R, French J, Harding K, Stott N: Invitation to attend a health check in a general practice setting: comparison of attenders and non-attenders. J R Coll Gen Pract. 1988, 38 (307): 53-56.PubMedPubMed CentralGoogle Scholar
- Persson LG, Lindstrom K, Lingfors H, Bengtsson C: A study of men aged 33–42 in Habo, Sweden with special reference to cardiovascular risk-factors. Scand J Soc Med. 1994, 22 (4): 264-272.PubMedGoogle Scholar
- Christensen B: Characteristics of attenders and non-attenders at health examinations for ischaemic heart disease in general practice. Scand J Prim Health Care. 1995, 13 (1): 26-31. 10.3109/02813439508996731.View ArticlePubMedGoogle Scholar
- Difford F, Telling JP, Davies KR: Continuous opportunistic and systematic screening for hypertension with computer help: analysis of non-responders. BMJ. 1987, 294 (6580): 1130-1132. 10.1136/bmj.294.6580.1130.View ArticlePubMedPubMed CentralGoogle Scholar
- Engebretson J, Mahoney JS, Walker G: Participation in community health screenings: a qualitative evaluation. J Community Health Nurs. 2005, 22 (2): 77-92. 10.1207/s15327655jchn2202_2.View ArticlePubMedGoogle Scholar
- Harpole LH, McBride C, Strigo TS, Lobach D: Feasibility of a tailored intervention to improve preventive care use in women. Preventive Medicine: An International Journal Devoted to Practice and Theory. 2000, 31 (4): 440-446.View ArticleGoogle Scholar
- Norman P, Fitter M: Predicting attendance at health screening: organizational factors and patients’ health beliefs. Counselling Psychology Quarterly. 1991, 4 (2–3): 143-155.View ArticleGoogle Scholar
- Shiloh S, Vinter M, Barak Z: Correlates of health screening utilization: the roles of health beliefs and self-regulation motivation. Psychol Health. 1997, 12 (3): 301-317. 10.1080/08870449708406709.View ArticleGoogle Scholar
- Norman P, Conner M: The role of social cognition models in predicting attendance at health checks. Psychol Health. 1993, 8 (6): 447-462. 10.1080/08870449308400448.View ArticleGoogle Scholar
- Norman P, Fitter M: Patients’ views on health screening in general practice. Fam Pract. 1991, 8 (2): 129-132. 10.1093/fampra/8.2.129.View ArticlePubMedGoogle Scholar
- Nielsen KDB, Dyhr L, Lauritzen T, Malterud K: “You can’t prevent everything anyway”: a qualitative study of beliefs and attitudes about refusing health screening in general practice. Fam Pract. 2004, 21 (1): 28-32. 10.1093/fampra/cmh107.View ArticlePubMedGoogle Scholar
- Norman P, Fitter M: Intention to attend a health screening appointment: some implications for general practice. Counselling Psychology Quarterly. 1989, 2 (3): 261-272. 10.1080/09515078908256682.View ArticleGoogle Scholar
- Williams A, Mason A, Wold J: Cultural sensitivity and day care workers: examination of a worksite based cardiovascular disease prevention project. AAOHN J. 2001, 49 (1): 35-43.PubMedGoogle Scholar
- Ornstein SM, Musham C, Reid A, Jenkins RG, Zemp LD, Garr DR: Barriers to adherence to preventive services reminder letters: the patient’s perspective. J Fam Pract. 1993, 36 (2): 195-200.PubMedGoogle Scholar
- Pill R, Stott N: Invitation to attend a health check in a general practice setting: the views of a cohort of non-attenders. J R Coll Gen Pract. 1988, 38 (307): 57-60.PubMedPubMed CentralGoogle Scholar
- Thompson NF: Inviting infrequent attenders to attend for a health check: costs and benefits. Br J Gen Pract. 1990, 40 (330): 16-18.PubMedPubMed CentralGoogle Scholar
- Hegarty V, Donovan MC, Pye M, Khaw KT: Reasons for nonresponse among older adults. J Am Geriatr Soc. 1995, 43 (9): 1066-1067.View ArticlePubMedGoogle Scholar
- Levine JA: Are patients in favour of general health screening?. J R Soc Med. 1991, 84 (5): 280-283.PubMedPubMed CentralGoogle Scholar
- Mackenzie M, Turner F, Platt S, Reid M, Wang Y, Clark J, Sridharan S, O’Donnell CA: What is the ‘problem’ that outreach work seeks to address and how might it be tackled? Seeking theory in a primary health prevention programme. BMC Health Serv Res. 2011, 11 (350):
- Pawson R: Evidence based policy: the promise of ‘realist synthesis’. Evaluation. 2002, 8 (3): 340-358. 10.1177/135638902401462448.View ArticleGoogle Scholar
- Watt G: The inverse care law today. Lancet. 2002, 9328: 252-254.View ArticleGoogle Scholar
- Watt G: Anticipatory care in very deprived areas. Br J Gen Pract. 2011, 61 (584): 228-10.3399/bjgp11X561401.View ArticlePubMedPubMed CentralGoogle Scholar
- Marteau TM, Ashcroft RE: Using financial incentives to achieve healthy behaviour. BMJ. 2009, 338: 983-985. 10.1136/bmj.b983.View ArticleGoogle Scholar
- Wilkinson E: Can you pay people to be healthy?. Lancet. 2008, 371 (9621): 1325-1326. 10.1016/S0140-6736(08)60578-4.View ArticlePubMedGoogle Scholar
- Wilkinson RG, Pickett KE: The spirit level: why more equal societies almost always do better. 2009, London: PenguinGoogle Scholar
- Backer EL, Geske JA, McIlvain HE, Dodendorf DM, Minier WC: Improving female preventive health care delivery through practice change: an every woman matters study. J Am Board Fam Med. 2005, 18: 401-108. 10.3122/jabfm.18.5.401.View ArticleGoogle Scholar
- Hunt WA, Matarazzo JD, Weiss SM, Gentry WD: Associative learning, habit, and health behavior. Journal Of Behavioral Medicine. 1979, 2 (2): 111-124. 10.1007/BF00846661.View ArticlePubMedGoogle Scholar
- Dubey V, Mathew R, Iglar K, Moineddin R, Glazier R: Improving preventive service delivery at adult complete health check-ups: the preventive health evidence-based recommendation form (PERFORM) cluster randomized controlled trial. BMC Fam Pract. 2006, 7 (44):
- Hudon E, Beaulieu MD, Roberge D: Integration of the recommendations of the Canadian task force on preventive health care. Fam Pract. 2004, 21: 11-17. 10.1093/fampra/cmh104.View ArticlePubMedGoogle Scholar
- Yarnall KS, Pollak KI, Ostbye T, Krause KM, Michener JL: Primary care: is there enough time for prevention?. Am J Public Health. 2003, 93 (4): 635-641. 10.2105/AJPH.93.4.635.View ArticlePubMedPubMed CentralGoogle Scholar
- Mercer SW, Watt GC: The inverse care law: clinical primary care encounters in deprived and affluent areas of Scotland. Ann Fam Med. 2007, 5 (6): 503-510. 10.1370/afm.778.View ArticlePubMedPubMed CentralGoogle Scholar
- Marmot M, Allen J, Goldblatt P, Boyce T, McNeish D, Grady M, Geddes I: Fair society, Healthy Lives: Strategic Review of Health Inequalities in England post-2010. 2010, London: The Marmot ReviewGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/12/723/prepub