Assessment of primary health care received by the elderly and health related quality of life: a cross-sectional study
© de Carvalho et al.; licensee BioMed Central Ltd. 2013
Received: 7 August 2012
Accepted: 20 June 2013
Published: 24 June 2013
Population aging leads to increased burden of chronic diseases and demand in public health. This study aimed to assess whether the score of Primary Health Care (PHC) is associated with a) the model of care - Family Health Strategy (FHS) vs. traditional care model (the Basic Health Units; BHU); b) morbid conditions such as - hypertension, diabetes mellitus, mental disorders, chronic pain, obesity and central obesity; c) quality of life in elderly individuals who received care in those units.
A survey was conducted among the elderly between August 2010 and August 2011, in Ilheus, Bahia. We interviewed elderly patients - 60 years or older - who consulted at BHU or FHS units in that day or participated in a group activity, and those who were visited at home by the staff of PHC, selected through a random sample. Demographic and socioeconomic characteristics, services’ attainment of primary care attributes, health problems and quality of life were investigated. The Short Form Health Survey (SF-12) was used to assess quality of life and PCATool to generate PHC scores. In addition, weight, height and waist circumference were measured. Trained research assistants, under supervision performed the data collection.
A total of 511 elderly individuals were identified, two declined to participate, resulting in 509 individuals interviewed. The health care provided by the FHS has higher attainment of PHC attributes, in comparison to the BHU, resulting in lower prevalence of score below six. Except for hypertension and cardiovascular disease, other chronic problems were not independently associated with low scores in PHC. It was observed an independent and positive association between PHC score and the mental component of quality of life and an inverse association with the physical component.
This study showed higher PHC attributes attainment in units with FHS, regardless of the health problem. The degree of orientation to PHC increased the mental component score of quality of life.
KeywordsPrimary health care Elderly Quality of life Family health Family health strategy Hypertension Family medicine
The trends toward reduce fertility rates and increase life expectancy at birth doubled the elderly population of Brazil from 1900 to 1989, and it is estimated that by 2050 the population aged 60 years or more will reach 22% . The longevity of the elderly population has raised the demand for health care services , particularly those provided in Primary Health Care (PHC) .
In Brazil, the National Health System (SUS, Unified Health System) is based on universal free access to healthcare to the whole population, with decentralization provided at all levels – from prevention to high complexity level, shared by government, federal, state and municipal. The SUS includes the model of foresight system, which provides care in basic health units (BHUs) for spontaneous demand or patients referred by other services. The organization and provision of services are based on risk groups or specific conditions. In these units, the health care team usually includes internal medicine physicians, pediatricians and gynecologists, nurses and other health professionals. The target is not focused on the integration of health care , but in raising the level of health through reduction and control of the burden of disease in the population. These actions are developed in programs for women, children, adults and elderly, or focused on specific conditions.
The second model of PHC, based on Family Health Strategy (FHS), offers participative and comprehensive care, and a system of centralized coordination . The FHS began in the poorest areas without coverage of PHC and since then has been implemented gradually replacing the traditional model of care. This model aims to insert the individual in the system, providing a primary person-centered care, with priority given to prevention and health promotion, and secondly for curative medicine. Coverage is universal, geographically circumscribed and referral to other levels of care are allowed when necessary . The FHS involves health care implemented by nuclear teams, including a family doctor, a nurse, four community health workers, and other assistants. Each team is responsible for 1,000 families, up to 4500 individuals,  and family doctors should live in the communities where they work,  but this does not happen in Brazil.
The management of chronic diseases in Brazil  takes into account not only the prevalence, but also the population aging and the burden of disease . While caring for the elderly can be done in any model , FHS or BHU, the guideline recommends easy access to SUS , with priority attention and frequency of assistance according to the presence of risk factors and health status throughout life, tracking changes and stages of aging, integrating promotion, prevention, treatment and rehabilitation at all levels of complexity of the healthcare system . Health promotion for the elderly, in PHC is still incipient in Brazil and has scarce evaluation of effectiveness [11, 12]. Among the assessment tools available, there is the Primary Care Assessment Tool (PCATool), validated in Brazil [13, 14], that verifies the presence and extent of the essential and derivatives attributes of PHC [15–17], which allow analysis of structure and process . The scores quantify the performance of PHC, taking into account the essential attributes and derivatives: the first contact for access, longitudinally, coordination, comprehensiveness, family-centered care and community-oriented .
Evaluations of the effectiveness of PHC model [17, 18] have been performed in adults  and children [20, 21], or from the perspective of the professionals [9, 10], showing that FHS was superior to other options to achieve the goals set for the PHC. However, no study in the elderly has described the attributes of the PHC with FHS versus the traditional model of BHU.
PHC should be prepared to deal with highly prevalent morbid conditions. However, health centers located in deprived areas had low performance in terms of quality of care  and units with FHS are concentrated in poor areas. Moreover, the management of chronic diseases such as hypertension and diabetes mellitus, could be affected by the model of care. [23–25] Thus, quantifying the scores of PHC can not only check whether the objectives are being met, as they provide information to develop and implement alternatives to existing policies, ensuring better health and quality of life. This study aimed to compare the degree of person centered care (PHC score) in two different ways of providing primary care in Brazil (Family Health Strategy vs. Basic Health Units); to assess the association of hypertension, diabetes mellitus, mental disorders, chronic pain, obesity, and central obesity with PHC score; and to evaluate the PHC score with quality of life in elderly individuals who received care in those units.
Study design and participants
This cross-sectional study enrolled patients 60 years or older from units of Primary Health Care in Ilheus, Bahia, in northeastern Brazil, between August 2010 and August 2011. The city has 33 health units, 23 with FHS and UBS 10. Among those, 13 and 8 units, respectively, were selected by stratified random sampling, proportional to the number of units of each model of care. The units were visited by the supervisor in order to obtain consent to perform data collection. Research assistants assessed the eligibility of patients - 60 years or older - who were at the unit in that day, to consult or participate in a group activity, and for those who were visited at home by the staff of PHC.
The Ethical Committee of the Hospital Nossa Senhora da Conceição, from Porto Alegre, accredited by the Office of Human Research Protections the Institutional Review Board, approved the project (registry: GHC 090 090/09) and all participants signed a consent form.
The main exposures were the model of care: UBS and FHS, followed by chronic conditions reported among major health problems: hypertension, diabetes mellitus, mental illness or chronic pain. Patient could report up to three diseases or symptoms in addition to abdominal obesity and body mass index. The clinical outcomes include attributes evaluated by PCATool answered by the patient. PCATool was used to detect the extent of four essential attributes: access to first contact, longitudinally, completeness and coordination, and two derived attributes: family and community orientation. A PCATool with cut-off of 6.6 or greater was considered high orientation. The second outcome was quality of life as assessed by the Short Form Health Survey, which includes 12 items, generating scores summarized by two components: physical (PCS, Physical Component Summary) and mental (MCS Mental Component Summary) . Demographic variables (gender and age) and socioeconomic status (education, measured by years of education, work status and family life at home) were considered as potential confounders. The SF-12, version 2 , and PCATool [13, 14], were both validated for Portuguese.
Trained research assistants conducted interviews at the unit or the elderly home using standardized questionnaires including demographic variables (age and sex), socioeconomic (education, in years, work status, marital status, family members living in the household), reported major health problems (hypertension, diabetes mellitus, mental disorders, chronic pain), and measured morbidity (general obesity and abdominal obesity). Anthropometry was performed in duplicate and the average was used for analysis. Waist circumference (cm) was measured at the midpoint between the lower rib margin and the superior iliac crest, with inelastic tape. Abdominal obesity was determined by waist circumference greater than 88 cm, for women, and 102 cm, for men. Weight (kg) was measured while the patient was balanced on both feet, with arms hanging freely, wearing light clothing and no shoes, with Techline scale (model BAL-180-CI, with 100 g precision). Height (m) was measured with Sanny portable stadiometer; weight and height were used to calculate body mass index (weight, in kilograms, divided by the square of height, in meters), categorized below 25.0 (reference category), overweight for 25.0 to 29.9, and obesity for 30.0 kg/m2 or higher. The research team underwent training, and the project implementation was tested in a pilot study with 30 individuals. Approximately 46% of interviews were conducted under supervision.
Sample size calculation and statistical analysis
Considering the lack of data for elderly, the calculation was based on an estimate that 90% of BHUs would present low PHC score versus 75% of units with FHS, resulting in a sample of 352 participants to detect a prevalence ratio of at least 1.2, with P value of 0.05 (two tailed), and power of 90%. The sample size calculation was increased by 25% to maintain statistical power due to losses. Data were entered into the database, created in the Epinfo software, version 3.5.3 (CDC, Atlanta, GA, USA) and the analyzes were performed using the Statistical Package for Social Sciences, version 17.0 (SPSS Inc., Chicago, IL, USA). The chi-square test was used to compare proportions and analysis of variance (ANOVA) to test differences between means. Poisson regression - an alternative to analysis of binary outcomes in cross-sectional studies - assigning a constant at risk time for all participants provides risk ratios equivalent to prevalence ratios. Since the variance of the coefficients tends to be overestimated, which result in higher confidence intervals, robust variance estimators was used . Modified Poisson regression was performed to assess independent associations and to calculate adjusted prevalence ratios with 95%CI for reported major health problems, type of PHC model, and low score of PHC. Multiple linear regression was used to assess the association between PHC score and quality of life domains adjusting for different covariate according to different regression models.
Characteristics of participants evaluated in Primary Health Care units according to model of care, Ilheus, Bahia, Brazil [N (%) or mean ±SD]
Basic health unit
Family health strategy
72.8 ± 8.2
72.7 ± 8.1
72.9 ± 8.4
Years at school
Retaired, but working
Family living in the household
Spouse and family
Extensive family or others
Body mass index (kg/m2)*
Reported major health problems
Number of chronic conditions
38.1 ± 11.6
39.0 ± 11.8
36.5 ± 11.2
48.7 ± 10.4
48.0 ± 9.5
49.9 ± 11.7
Overall score, essential, and attributes to Primary Health Care (PHC) and score of PHC according to the model of care, Ilheus, Bahia, Brazil [mean ±SD]
Basic health unit1 n=316
Family health strategy2 n=193
Access - utilization
5.2 ± 4.7
6.9 ± 4.2
Access - accessibility
2.3 ± 2.6
3.7 ± 2.7
4.0 ± 4.2
6.5 ± 4.0
2.9 ± 1.7
3.5 ± 2.6
2.8 ± 4.3
4.8 ± 4.9
1.5 ± 3.1
3.0 ± 4.3
3.6 ± 3.5
4.3 ± 3.3
4.1 ± 2.2
5.5 ± 2.3
3.6 ± 1.9
5.0 ± 2.1
Prevalence and characteristics associated to low Primary Health Care score among elderly, Ilheus, Bahia, Brazil
Low primary health care score
Prevalence ratioƒ* (95%CI)
Prevalence ratioƒ** (95%CI)
Years at school
Family living in the household
Spouse and family
Extensive family or others
Model of care
Family Health Strategy
Basic Health Unit
Body mass index (kg/m2)
Number of chronic conditions
Association of Primary Health Care score with Physical and Mental Component Summary of quality of life ƒ among elderly, Ilheus, Bahia
Primary health care score
Mental component summary
Physical component summary
β coefficient (95% CI)
β coefficient (95% CI)
0.085 (-0.008 to 0.876)
-0.123 (-1.191 to -0.209)
0.090 (0.015 to 0.895)
-0.124 (-1.189 to -0.222)
0.093 (0.032 to 0.914)
-0.115 (-1.133 to -0.170)
0.089 (0.008 to 0.893)
-0.129 (-1.216 to -0.251)
The assessment of PHC attributes attainment using PCATool among elderly individuals identified that those who consulted in units with FHS had higher PHC scores than those attending to BHU. Such association between model of care and PHC score was independent of socioeconomic status or major health problems. Work status, a surrogated marker of income, played a role in the adherence to PHC orientation and those elderly patients not working were more likely to have low score. Low PHC score was associated with two morbid conditions - hypertension (inversely) and cardiovascular disease (positively). Regardless of the health problem, the PHC scores were directly associated with the mental component of quality of life and negatively with the physical component. These results suggest that the model of care in PHC was associated with quality of life.
Evaluation of the PHC attributes attainment using PCATool [17, 18, 21] had already been done, but not for elderly patients. The higher PHC scores observed among elderly who consulted at FHS could be anticipated, since this model of care was planned to fulfill these attributes while BHUs aimed to a different target. Even so, is reassuring to detect that the FHS reached its purpose in elderly from Ilheus, Bahia, in Northeast Brazil. However, there are other dimensions to be assessed in the PHC. For instance, patient-physician relationship and teaching activities were positively associated with quality of care in a study conducted in the Catalan Primary Health Care - with universal coverage used by 75% of the population, which is quite similar to the Brazilian coverage by the national health system. In the Spanish study items such as accessibility and doctor-patient relationship were higher in rural areas, less privileged populations, and among teams involved in the care of elderly . Although PCATooL and other instruments used to evaluate the attributes of PHC do not incorporate the doctor-patient relationship and adoption of evidence-based practices, they included the core attributes .
FHS units are located in more deprived areas than BHU units. This condition did not account for overall differences between elderly patients who consulted in both models of care. While mean age, work status, and morbid conditions - hypertension, diabetes mellitus, obesity, cardiovascular disease, and mental disorder – were similar among patients from both models of care, those who consulted in the FHS units were more likely to live alone or with a spouse, had low education level, higher prevalence of central obesity and chronic pain. These conditions were directly associated to the use of health care facilities [31, 32]. In a multivariate analysis, the low PHC score was also associated with work status.
The report of morbid conditions as major health problems is not equivalent to the prevalence of these conditions. Some chronic conditions such as hypertension  and chronic pain , were underestimated. For instance, hypertension prevalence affected 68.9% (95% CI 64.1%–73.3%) of the Brazilian elderly population, according to the JOINT definition and using blood pressure measurement, 49.0% (95% CI 46.8%–51.2%) by self-reported in household surveys, or 53.8% (95% CI 44.8%–62.6%) by telephone surveys . These numbers are far higher than the 30% of elderly reporting hypertension as a major health problem. Besides the label of being a hypertensive patient and taking lowering blood pressure medicine daily, hypertension does not cause symptoms and is easily underestimated as a burden of disease. Elderly with hypertension seems to benefit of home visiting and reinforcement to take blood pressure-lowering medication , resources offered in units with FHS. Its inverse association with low PHC score, independently of other confounding factors, might be attributed to characteristics of hypertension that demands frequent appointments for dispensing medicine and checking hypertension control.
Quality of life for the elderly population was shown to be associated with the PHC score, independent of confounding factors and even of hypertension, which is one of the determinants of reduced quality of life . Morbid conditions can reduce health and, in turn, the physical component of quality of life [36, 37]. Studies conducted in China  and Germany  have shown that low quality of life markedly increased the use of health services, but this relationship was characterized for PHC without comparison with traditional Chinese medicine or other type of healthcare. In the elderly, the deterioration of quality of life mainly due to the physical functioning rather than mental  was shown through the opposite association with PHC score. The inverse association between PHC score and physical component of quality of life in the elderly suggests the difficulty to benefit from health care system due to loss of physical functioning. Findings in elderly living in Australia showed a negative association of PCS-12 with characteristics of the practice, which highlighted the role of chronic diseases . The presence of chronic pain considerably limits the autonomy of the elderly to perform daily living activities , which could indirectly lead to increased use of units with full care, increasing the proportion of patients with lower quality of life [41, 42].
Potential limitations of our study should be addressed. For example, the cross-sectional design does not allow to characterizing a causal association, and reverse causality may play a role for some associations. Nonetheless, our findings reinforce the need for integral action in the care of elderly. Practices of health promotion are relevant to the control of chronic diseases, regardless of which one is the health problem. Increased access to PHC, offered in units with FHS, can be part of the strategy to provide assistance to people with disability and elderly above 80 years, which should an increase in the total burden of disease in the coming years.
In this study, socioeconomic status was determined by formal education and work status, but residual confounding is still possible. In fact, the socioeconomic status was positively associated with quality of life in some, but not in all countries . In Canada, for example, patients have universal access to health care and socioeconomic status does not prevent to seeing a doctor. In addition, a consultation with a specialist in Canada is determined by need and not by household income, the opposite of the United States .
The association between PHC scores and model of care reiterates the role of FHS in health care for the elderly. It also shows that the FHS contributes to higher quality of life, particularly for the mental component. These results should contribute to the management of PHC of elderly individuals.
This study was supported by grants and scholarships from the CNPq (National Council for Scientific and Technological Development), and FIPE-HCPA (Fundo de Apoio a Pesquisa, Hospital de Clínicas de Porto Alegre). The sponsors did not take part in the design or conduct of the study, including data collection, management, analysis, and interpretation of the data; and preparation, review, or approval of the manuscript.
The authors had full access to all of the data in the study and takes responsibility for the integrity of the data and the accuracy of the data analysis.
- Global Population Ageing. Peril or Promise. Edited by: Beard JR, Biggs S, Bloom DE, Fried LP, Hogan P, Kalache A, Olshansky SJ. 2011, Geneva: World Economic Forum
- Ezeh AC, Bongaarts J, Mberu B: Global population trends and policy options. Lancet. 2012, 380: 142-148. 10.1016/S0140-6736(12)60696-5.View ArticlePubMedGoogle Scholar
- Boeckxstaens P, De Graaf P: Primary care and care for older persons: position paper of the European Forum for Primary Care. Qual Prim Care. 2011, 19: 369-389.PubMedGoogle Scholar
- Paim J, Travassos C, Almeida C, Bahia L, Macinko J: The Brazilian health system: history, advances, and challenges. Lancet. 2011, 377: 1778-1797. 10.1016/S0140-6736(11)60054-8.View ArticlePubMedGoogle Scholar
- Starfield B: Primary Care: balancing health needs, services and technology. 1998, New York: Oxford University Press, 2Google Scholar
- Barros AJD, Victora CG, César JA, Neumann NA, Bertoldi AD: Brazil: are health and nutrition programs reaching the neediest?. Reaching the Poor: with health, nutrition, and population services. 2005, Washington: The World Bank, 281-30. Gwatkin DR, Wagstaff A, Yazbeck AS,Google Scholar
- Rodnick JE: International Family Medicine Education. Fam Med. 2005, 37: 668-669.Google Scholar
- Schmidt MI, Duncan BB, Silva GA, Menezes AM, Monteiro CA, Barreto SM, Chor D, Menezes P: Chronic non-communicable diseases in Brazil: burden and current challenges. Lancet. 2011, 377: 1949-1961. 10.1016/S0140-6736(11)60135-9.View ArticlePubMedGoogle Scholar
- Rodrigues MAP, Facchini LA, Piccini RX, Tomas E, Thumé E, Silveira DS, Siqueira FV, Paniz VMV: [Use of outpatient services by the elderly in the South and Northeast of Brazil]. Cad. Saúde Pública. 2008, 24: 2267-2278.View ArticleGoogle Scholar
- Cornwall A, Shankland A: Engaging citizens: lessons from building Brazil's national health system. Soc Sci Med. 2008, 66: 2173-2184. 10.1016/j.socscimed.2008.01.038.View ArticlePubMedGoogle Scholar
- Paskulin LMG, Valer DB: Vianna, LAC [Use and access of the elderly to primary health care services in Porto Alegre (RS, Brasil)]. Ciência & Saúde Coletiva. 2011, 16: 2935-2944.View ArticleGoogle Scholar
- Motta LB, Aguiar AC, Caldas CP: [The Family Health Strategy and healthcare for the elderly: experiences in three Brazilian cities]. Cad. Saúde Pública. 2011, 27: 779-786.View ArticleGoogle Scholar
- Lee JH: Development of the Korean primary care assessment tool-measuring user experience:tests of data quality and measurement performance. Int J Qual Health Care. 2000, 21: 103-111.View ArticleGoogle Scholar
- Harzheim E, Starfield S, Rajmil L, Álvarez-Dardet C, Stein AT: [Internal consistency and reliability of Primary Care Assessment Tool (PCATool-Brasil) for child health services]. Cad. Saúde Pública. 2006, 22: 1649-1659.View ArticleGoogle Scholar
- Harzheim E, Duncan BB, Stein AT, Cunha CRH, Gonçalves MR, Trindade TG, Oliveira MMC, Pinto MEB: Quality and effectiveness of different approaches to primary care delivery in Brazil. BMC Health Services Research. 2006, 6: 156-10.1186/1472-6963-6-156.View ArticlePubMedPubMed CentralGoogle Scholar
- Macinko J, Almeida C, Oliveira ES, Sá PK: Organization and delivery of primary health care services in Petropólis, Brazil. Int J Health Plann Mgmt. 2004, 19: 303-317. 10.1002/hpm.766.View ArticleGoogle Scholar
- Van Stralen CJ, Belisário SA, Stralen TBS, Lima AMD, Massote AW, Oliveira CL: [Perceptions of primary health care among users and health professionals: a comparison of units with and without family health care in Central-West Brazil. Cad. Saúde Pública. 2008, 24 (1): 148-158.Google Scholar
- Mendoza-Sassi RA, Cesar JA, Teixeira TP, Ravache C, Araújo GD, Silva TC: [Differences in prenatal care between health services under the Family Health Strategy and traditional primary care clinics in Rio Grande, Rio Grande do Sul State, Brazil]. Cad. Saúde Pública. 2011, 27: 787-796.View ArticleGoogle Scholar
- Anversa ETR, Bastos GAN, Nunes LN, Dal Pizzol TS: Qualidade do processo da assistência pré-natal: unidades básicas de saúde e unidades de Estratégia Saúde da Família em município no Sul do Brasil. Cad. Saúde Pública. 2012, 28: 789-800.View ArticlePubMedGoogle Scholar
- Owen SE, Sharp DJ, Shield JP: The Bristol Online Obesity Screening Tool: experience of using a screening tool for assessing obese children in primary care. Prim Health Care Res Dev. 2011, 12: 293-300. 10.1017/S1463423611000132.View ArticlePubMedGoogle Scholar
- Ribeiro LCC, Rocha RL, Ramos-Jorge ML: Acolhimento às crianças na atenção primária à saúde: um estudo sobre a postura dos profissionais das equipes de saúde da família. Cad. Saúde Pública. 2010, 26: 2316-2322.View ArticleGoogle Scholar
- Ashworth M, Armstrong D: The relationship between general practice characteristics and quality of care: a national survey of quality indicators used in the UK Quality and Outcomes Framework, 2004–5. BMC Fam Pract. 2006, 7: 68-10.1186/1471-2296-7-68.View ArticlePubMedPubMed CentralGoogle Scholar
- Van den Berg N, Meinke-Franze C, Fiss T, Hoffmann W: Changes in blood pressure in patients with hypertension in the context of delegated GP-home visits: a prospective implementation study. Blood Press Monit. 2013, 15:Google Scholar
- Sigfrid LA, Turner C, Crook D, Ray S: Using the UK primary care Quality and Outcomes Framework to audit health care equity: preliminary data on diabetes management. J Public Health (Oxf). 2006, 28: 221-225. 10.1093/pubmed/fdl028.View ArticleGoogle Scholar
- Bachmann MO, Eachus J, Hopper CD, Davey Smith G, Propper C, Pearson NJ, Williams S, Tallon D, Frankel S: Socio-economic inequalities in diabetes complications, control, attitudes and health service use: a cross-sectional study. Diabet Med. 2003, 20: 921-929. 10.1046/j.1464-5491.2003.01050.x.View ArticlePubMedGoogle Scholar
- Gandek B, Ware JE, Aaronson NK, Apolone G, Bjorner JB, Brazier JE, Bullinger M, Kaasa S, Leplege A, Prieto L, Sullivan M: Cross-validation of item selection and scoring for the SF-12 Health Survey in nine countries: results from the IQOLA Project. International Quality of Life Assessment. J Clin Epidemiol. 1998, 51: 1171-1178. 10.1016/S0895-4356(98)00109-7.View ArticlePubMedGoogle Scholar
- Ware JE, Kosinski M, Turner-Bowker DM, Gandek B, Lincoln RI: How to score version 2 of the SF-12 Health Survey. 2002, : QualityMetric Incorporated, http://www.sf-36.org/tools/sf12.shtml], p. 88–91. ISBN: 1-891810-10-3Google Scholar
- Barros AJ, Hirakata VN: Alternatives for logistic regression in cross-sectional studies: an empirical comparison of models that directly estimate the prevalence ratio. BMC Med Res Methodol. 2003, 3: 21-10.1186/1471-2288-3-21.View ArticlePubMedPubMed CentralGoogle Scholar
- Gené-Badia J, Ascaso C, Escaramis-Babiano G, Catalán-Ramos A, Pujol-Ribera E, Sampietro-Colom L: Population and primary health-care team characteristics explain the quality of the service. Health Policy. 2008, 86: 335-344. 10.1016/j.healthpol.2007.11.014.View ArticlePubMedGoogle Scholar
- Lévesque JF, Haggerty J, Beninguissé G, Burge F, Gass D, Beaulieu MD, Pineault R, Santor D, Beaulieu C: Mapping the coverage of attributes in validated instruments that evaluate primary healthcare from the patient perspective. BMC Fam Pract. 2012, 13: 20-10.1186/1471-2296-13-20.View ArticlePubMedPubMed CentralGoogle Scholar
- Chen T, Li L: Influence of health-related quality of life on health service utilization in addition to socio-demographic and morbidity variables among primary care patients in China. Int J Public Health. 2009, 54: 325-332. 10.1007/s00038-009-0057-3.View ArticlePubMedGoogle Scholar
- Wang HM, Beyer M, Gensichen J, Gerlach FM: Health-related quality of life among general practice patients with differing chronic diseases in Germany: cross-sectional survey. BMC Public Health. 2008, 8: 246-10.1186/1471-2458-8-246.View ArticlePubMedPubMed CentralGoogle Scholar
- Trevisol DJ, Moreira LB, Fuchs FD, Fuchs SC: Health-related quality of life is worse in individuals with hypertension under drug treatment: results of population-based study. J Hum Hypertens. 2012, 26: 374-380. 10.1038/jhh.2011.48.View ArticlePubMedGoogle Scholar
- Kerkhoff AC, Moreira LB, Fuchs FD, Fuchs SC: Association between hypertension and musculoskeletal complaints: a population-based study. J Hypert. 2012, 30: 2112-2117. 10.1097/HJH.0b013e3283588268.View ArticleGoogle Scholar
- Picon RV, Fuchs FD, Moreira LB, Fuchs SC: Prevalence of hypertension among elderly in urban Brazil: a systematic review with meta-analysis. Am J Hyper.
- Xavier FMF, Ferraz MPT, Marc N, Escosteguy NU, Moriguchi EH: Elderly people's definition of quality of life. Rev Bras Psiquiat. 2003, 25: 31-39. 10.1590/S1516-44462003000100007.View ArticleGoogle Scholar
- Alexandre TS, Cordeiro RC, Ramos LR: Factors associated to quality of life in active elderly. Rev Saude Publica. 2009, 43: 613-621. 10.1590/S0034-89102009005000030.View ArticleGoogle Scholar
- le Hoi V, Chuc NT, Lindholm L: Health-related quality of life, and its determinants, among older people in rural Vietnam. BMC Public Health. 2010, 10: 549-10.1186/1471-2458-10-549.View ArticlePubMedPubMed CentralGoogle Scholar
- Jayasinghe UW, Proudfoot J, Barton CA, Amoroso C, Holton C, Davies GP, Beilby J, Harris MF: Quality of life of Australian chronically-ill adults: patient and practice characteristics matter. Health Qual Life Outcomes. 2009, 7: 50-10.1186/1477-7525-7-50.View ArticlePubMedPubMed CentralGoogle Scholar
- Bekkering GE, Bala MM, Reid K, Kellen E, Harker J, Riemsma R, Huygen FJ, Kleijnen J: Epidemiology of chronic pain and its treatment in The Netherlands. Neth J Med. 2011, 69: 141-153.PubMedGoogle Scholar
- Antonopoulou MD, Alegakis AK, Hadjipavlou AG, Lionis CD: Studying the association between musculoskeletal disorders, quality of life and mental health. A primary care pilot study in rural Crete, Greece. BMC Musculoskelet Disord. 2009, 10: 143-10.1186/1471-2474-10-143.View ArticlePubMedPubMed CentralGoogle Scholar
- Shankar R, Tondon J, Gambhir IR, Tripathi CB: Health status of elderly population in rural area of Varanasi District. Indian Journal of Clinical Health. 2007, 51: 56-58.Google Scholar
- Huguet N, Kaplan MS, Feeny D: Socioeconomic status and health-related quality of life among elderly people: results from the Joint Canada/United States Survey of Health. Soc Sci Med. 2008, 66: 803-810. 10.1016/j.socscimed.2007.11.011.View ArticlePubMedGoogle Scholar
- Kaplan MS, Huguet N, Feeny D, McFarland BH, Williams SS: Visits to family physicians or specialists by elderly persons in Canada and the United States: an exploratory comparative study. Int J Health Serv. 2010, 40: 139-149. 10.2190/HS.40.1.h.View ArticlePubMedGoogle Scholar
- The pre-publication history for this paper can be accessed here:http://www.biomedcentral.com/1471-2458/13/605/prepub
This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.