Skip to main content
  • Research article
  • Open access
  • Published:

The association between insured male expatriates’ knowledge of health insurance benefits and lack of access to health care in Saudi Arabia

Abstract

Background

Insufficient knowledge of health insurance benefits could be associated with lack of access to health care, particularly for minority populations. This study aims to assess the association between expatriates’ knowledge of health insurance benefits and lack of access to health care.

Methods

A cross-sectional study design was conducted from March 2015 to February 2016 among 3398 insured male expatriates in Riyadh, Saudi Arabia. The dependent variable was binary and expresses access or lack of access to health care. Independent variables included perceived and validated knowledge of health insurance benefits and other variables. Data were summarized by computing frequencies and percentage of all quantities of variables. To evaluate variations in knowledge, personal and job characteristics with lack of access to health care, the Chi square test was used. Odds ratio (OR) and 95% confidence interval (CI) were recorded for each independent variable. Multiple logistic regression and stepwise logistic regression were performed and adjusted ORs were extracted.

Results

Descriptive analysis showed that 15% of participants lacked access to health care. The majority of these were unskilled laborers, usually with no education (17.5%), who had been working for less than 3 years (28.1%) in Saudi Arabia. A total of 23.3% worked for companies with less than 50 employees and 16.5% earned less than 4500 Saudi Riyals monthly ($1200). Many (20.3%) were young (< 30 years old) or older (17.9% ≥ 56 years old) and had no formal education (24.7%). Nearly half had fair or poor health status (49.5%), were uncomfortable conversing in Arabic (29.7%) or English (16.7%) and lacked previous knowledge of health insurance (18%). For perceived knowledge of health insurance, 55.2% scored 1 or 0 from total of 3. For validated knowledge, 16.9% scored 1 or 0 from total score of 4. Multiple logistic regression analysis showed that only perceived knowledge of health insurance had significant associations with lack of access to health care ((OR) = 0.393, (CI) = 0.335–0.461), but the result was insignificant for validated knowledge. Stepwise logistic regression gave similar findings.

Conclusions

Our results confirmed that low perceived knowledge of health insurance in expatriates was associated with less access to health care.

Peer Review reports

Background

The positive association between obtaining insurance and access to health care has been reported in literature [1, 2]. However, there are people who face challenges in understanding how health insurance works and how to estimate out-of-pocket costs. These people, even if insured, are at risk of being without needed care [3] or experiencing delayed access to health care [4]. Poor understanding of health insurance is associated with delayed [4] or reduced care [5, 6], care avoidance [3, 7], poor health status [8] and low efficiency of the health care sector [9]. However, most of these studies were conducted in older populations such as Medicare recipients in the United States or did not include minorities in their studies.

There is evidence from different contexts that the minority populations are more likely to have a poor understanding of health insurance schemes [10,11,12,13]. However, these studies did not investigate the degree to which expatriates’ or minorities’ lack of health insurance knowledge influenced their access to health care.

In Saudi Arabia, expatriate workers represent more than 80% of private sector employees and comprise 56% of the total workforce [14, 15]. The dominance of expatriate workers mainly in the private sector incentivized the government to mandate that the employers in the private sector shoulder the health care expenses of their expatriate employees while ensuring access to health care [16]. Saudi Arabia introduced the Cooperative Health Insurance Law in 1999. The law not only mandates that all employers bear the full amount of their employees’ health insurance premium but it also determines the unified benefits packages, which are managed by a government body called the Council of the Cooperative Health Insurance (CCHI) [17]. The CCHI regulates and monitors the cooperative health insurance implementation so that all minimum medical treatments and other medical needs are determined and unified under one insurance policy [17]. Before the implementation of cooperative health insurance,Footnote 1 there was no clear method for expatriates to access health care services or determine how much and who was responsible for paying for their health care expenses [16]. Health care expenses and coverage vary among employees; some pay the full amount out of pocket but others pay nothing [16].

In 2016, more than 12 million people (38% of the total population of Saudi Arabia) were insured through the cooperative health insurance [18]. Among these, more than 9.4 million (78%) were expatriates. The gross written insurance premiums were more than 36 billion Saudi Riyals ($9.6 billion). Of this total more than 16 billion Saudi Riyals ($4.26 billion) were for health insurance [19]. Although insurance companies are one of the main sources responsible for increasing public knowledge of health insurance [20], the insurance sector in Saudi Arabia is still in the development stage [21]. Furthermore, insurance companies have been the most reported for non-compliance by customers as reported by CCHI, since the first CCHI report in 2007 [18, 22,23,24,25,26,27,28,29,30]. When insured people are not knowledgeable about health insurance, this raises questions about the seriousness of policy makers and the effectiveness of health insurance companies in communicating with their customers [7].

In addition, the majority of expatriate workers (85%) are in laborer positions and low-skilled jobs [15]. They are less-educated people and are likely to have low knowledge about health insurance [31]. These factors raise the question of the influence of knowledge of health insurance benefits scheme against expatriates’ access to health care. There was not any previous study that investigates the association of knowledge of health insurance benefits with lack of access to health care in Saudi Arabia. This study will focus on the influence of perceived and validated knowledge on lack of access to health care of insured expatriates in Saudi Arabia.

Methods

Face-to-face surveys were administered by trained bilingual research assistants to 3398 male expatriate workers in the private sector, with a 96% response rate. The survey was conducted orally to minimize language and literacy barriers. One of the main criteria for selecting the research assistants was their ability to speak the expatriates’ main languages (Arabic, Urdu, Bengali, Hindi, Malayalam, Nepali, and Tagalog), in addition to their communication skills, mobility among different companies and comprehension of the questionnaire.

The questionnaire was initially developed in English. The final version was translated into the expatriates’ main languages and verified using backward translation methods.

Cross-sectional survey data were collected by trained bilingual research assistants in Riyadh. Riyadh was selected as the setting for the study because the Riyadh region contains around 30% of Saudi Arabia’s total expatriate population and more than one-fourth of the Saudi population [32, 33].

The data were collected between March 2015 and February 2016 at the participants’ work sites with permission from their employers. Using a multi-stage stratified cluster-sampling method, the data were collected based on business sector, company size, and number of employees as determined by the Ministry of Labor and Social Development [34]. The sampling approach used in this study was adapted from another study conducted in the same setting [34]. Expatriates working in the health care and health insurance sectors were excluded from the study because their health insurance knowledge and health care access would likely be affected by vocational factors.

The questionnaire consisted of sections on health insurance status, access to health care, knowledge of health insurance (including perceived knowledge and validated knowledge), employment information, the employee’s previous knowledge of insurance (in their home country) and demographic data.

Statistical analysis

In this study, the dependent variable is binary, expressed as “0,” indicating access, and “1” indicating no access. This coding is intended to facilitate analysis so as to predict lack of access to health care. The question assessed the lack of access to health care during the preceding 1 year. The question was adapted from the 2015 Medical Expenditure Panel Survey (MEPS) [35] and also has been adapted by two other studies measuring access to health care for expatriates and immigrants [16, 36].

The main independent variables were perceived and validated overall knowledge scores. These knowledge questions were scored as follows: incorrect responses were given a zero score, while 1 point was given to each correct answer; a correct response being that based on current literature. The knowledge scores were then computed by totaling the number of correct answers.

The following questions were used to obtain information on perceived knowledge: “Does your health insurance cover outpatient care (such as doctor visits)?”, “Does your health insurance cover inpatient care (including surgery)?” and “Does your health insurance cover prescription drugs?” The maximum perceived knowledge score was 3.

Four questions were used to assess verified knowledge: “Do you know how much your copayment is for seeing a general practitioner as an outpatient?”, “Do you know how much the maximum payment is when visiting an outpatient doctor?”, “Do you know how much you have to pay for inpatient services if you are admitted to hospital?” and “Do you know how much you have to pay for prescription drugs?” The maximum score for verified knowledge was 4. Other independent variables were also considered, including personal and job characteristic variables. The full descriptions of each category have been elaborated in a previous study by Alkhamis [10].

Data were summarized by computing frequencies and percentages of all qualitative variables. To evaluate knowledge and demographic and job characteristic variables associated with lack of access to health care, the Chi square test was used. In addition, odds ratio (OR) and 95% confidence interval (CI) were recorded for each independent variable. Multiple logistic regressions in which all independent variables are forced into the model was estimated and adjusted ORs were extracted from this model. Stepwise multiple logistic regressions were also performed to determine the most important predictors of lack of access to health care. All of the tests for significance were two-sided and p values < 0.05 were considered statistically significant. All analyses were done using Statistical Package for the Social Sciences (SPSS) version 22 for Windows (SPSS Inc., Chicago, USA) software.

Results

The total number of participants was 3398 but 280 surveyed participants were excluded because they were not in Saudi Arabia during their last sickness which reduced the total number of participants who answered questions on access to medical care to 3118. Table 1 includes the characteristics of study participants (personal and job features), the percentage lacking access to health care, their previous knowledge of health insurance and their existing knowledge of health insurance benefits (perceived and validated knowledge).

Table 1 The main descriptive analysis and number of expatriates with lack of access to health care based on their personal characteristics, jobs characteristics, previous knowledge and existing knowledge (including perceived and validated knowledge)

The descriptive analysis in Table 1 shows that the insured participants with lack of access to health care represent 15% of the total sample. The same table also shows that majority of participants (63%) knew about insurance before coming to Saudi Arabia. Participants who scored 3 out of 3 in perceived knowledge were 61%, whereas only 6.8% scored 4 out of 4 for validated knowledge about health insurance.

Table 1 provides the profile of expatriates who encountered problem in accessing health care.

The expatriates were either young (< 30 years old; 20.3%) or old (≥ 56 years old; 17.9%) and had no formal education (24.7%). They reported fair or poor health status (49.5%), were uncomfortable conversing in Arabic (29.7%) or English (16.7%) and had no previous knowledge of health insurance before coming to Saudi Arabia (18.%). More than half of them (55.2%) scored 1 or 0 out 3 for perceived knowledge and 1 or 0 out of 4 for validated knowledge (16.9%). Table 1 also indicates that majority of the expatriates were unskilled laborers, usually with no education (17.5%) and had been working for less than 3 years (28.1%) in Saudi Arabia. A total of 23.3% worked for companies with less than 50 employees and 16.5% earned less than 4500 Saudi Riyals monthly ($1200). In companies with less than 50 employees, 23.3% of expatriates do not have access to health care which implies that 76.7% of expatriates working in companies with less than 50 employees are able to access health care.

Table 2 shows the crude OR using simple logistic regression and adjusted logistic regression using multiple logistic regressions by forcing all variables (main personal, job characteristics and perceived and existing knowledge of health insurance benefits variables) into the equation. This indicated a significant association between personal and job characteristics, as well perceived and validated knowledge about health insurance benefit and lack of access to health care. However, after adjusting for the lack of access to health care, logistic regression analysis shows lack of access to health care only has significant associations with perceived knowledge of health insurance (OR = 0.393, CI = 0.335–0.461), companies with more than 50 employees (OR = 0.455, CI = 0.343–0.603), comfort in conversing in Arabic (OR = 0.471, CI = 0.340–0.652) and excellent health status (OR = 0.241, CI = 0.141–0.411), or good health status (OR = 0.438, CI = 0.245–0.783).

Table 2 Summary of simple and multiple logistical regression analysis of the influence of knowledge of health insurance, workplace and personal characteristics on lack of access to health care

Table 3 shows the results of stepwise logistic regression to determine the most important predictors of lack of access to health care. These findings are similar to the adjusted OR in Table 2 including the ability to converse in English language as an associated factor influencing lack of access to health care (OR = 0.755, CI = 0.597–0.954). Moreover, the OR and CI values are similar to the adjusted ORs and CIs in Table 2. Table 3 illustrates that variables perceived knowledge, health status, company size, comfort conversing in English and comfort conversing in Arabic are the most important predictors of lack of access to health care for insured expatriates.

Table 3 Summary of stepwise logistic regression of the influence of knowledge of health Insurance, personal and workplaces characteristics on lack of access to health care

Discussion

This is the first study investigating the association between expatriate workers’ knowledge of health insurance benefits and lack of access to health care in Saudi Arabia. This study further assesses expatriates’ previous knowledge of insurance before their arrival to Saudi Arabia as an influencing factor on health insurance knowledge.

To measure knowledge of health insurance benefits, expatriate workers were asked what they thought they knew about their health insurance coverage (perceived knowledge) and compared their answers to the actual health insurance coverage they have (validated knowledge) based on the official existing health insurance benefits scheme implemented for expatriate workers in Saudi Arabia. The study showed a significant association between perceived knowledge and lack of access to health care in both adjusted and unadjusted ORs. Low scores for perceived knowledge of health insurance benefits indicate a likelihood of expatriates not accessing health care. This finding might explain the findings of a study by Alkhamis [16] showing that uninsured but paying expatriates (either cash or via reimbursement) had better access to health care than some insured expatriates. Those studies did not consider the knowledge of health insurance benefits as study variables.

The current study stresses that it is not necessary to include numerical knowledge of health insurance benefits such as the amount of the copayments as part of knowledge of main health insurance benefits. Expatriates would want to know their health insurance coverage rather than details of their copayments. This interesting finding could be related to the nature of the CEBHI, in which beneficiaries need not worry about the exact amount of maximum copayment since it is unified regardless of health insurance class (e.g. VIP, class A, Class B).

Remarkably, this study did not find most personal/socioeconomic characteristics, such as income, education, and age, to be detrimental factors to lack of access to health care. This is consistent with another study which reported the availability of health insurance is more important for access to health care than other immigrant socioeconomic factors such as income or education level [36]. The Jine Choi study showed that, compared with Filipino and Korean immigrants, although Marshallese immigrants had lower socioeconomic status including lower income and health education, they had better access to health care because they had the highest health insurance enrollment rate among the three groups. However, as reported by Alkhamis [10], socioeconomic factors like income and education are important contributing factors in increasing expatriates’ knowledge of health insurance benefits.

The effects of these variables, for example, are indirectly associated with access to health care. Income and education levels influence expatriates’ knowledge of health insurance benefits although the level of direct influence on access to health care was found not significant. Although this study identified four variables associated with lack of access to health care, it is well documented that other variables contribute indirectly to expatriates’ lack of access to health care such as personal and job characteristics, have been associated with expatriates’ knowledge of health insurance [10].

The current study finds inability to comfortably speak Arabic has significant association with lack of access to health care, which is consistent with a previous study [36]. This finding cannot be isolated from the influence of length of stay in Saudi Arabia. Expatriates who work in Saudi Arabia for longer periods have greater opportunities to improve their language ability and increase their ability to converse in Arabic.

The interrelationships between these variables are complex and difficult to segregate their influence from one another. Whereas some variables have direct influence on lack of access to health care, other variables have indicated an indirect influence on lack of access to health care.

Finally, the role of employers in increasing their expatriate employees’ access to health care is very important, as supported by studies from different contexts [37], whether by increasing their knowledge of health insurance benefits [10] or by increasing their access to health insurance [34].

This study was cross-sectional in design, which limited our ability to investigate causal inferences. Although we have included many variables in our analysis, it is possible that a variable associated with both correlated variables was omitted or an omitted variable correlated with both. However, our multivariate analyses included a large number of relevant covariates with a large sample size.

In addition, the cross-sectional study did not improve our understanding of the chronological order of events. In other words, it is hard to know whether expatriates’ knowledge was associated with their lack of access to health care or if the lack of access to health care had affected their knowledge of health care. However, given the correlation between these parameters identified in this study, future studies could investigate the details of this relationship.

Another limitation is self-reported data on lack of access to health care, which is subject to recall bias. Recall bias could be a major issue in particular if the research participants are old. However, the expatriate population of Saudi Arabia is young; 61% of our sample was under 46 years old. In addition, recall by younger respondents for general questions about health care access has been reported to be accepted [38, 39]. Furthermore, the measures of health care access used in this study have been used with similar populations before [16, 36]. For the above mentioned reasons the recall biased has been mitigated. The study used only one question to measure lack of access to health care. However, other studies have used the same measure of access for similar populations and did not report problems related to the use of one question to assess access to health care [16, 36]. Another study has characterized MEPS as one of the most reliable questionnaires for measuring access to health care [40]. Another limitation of the study is that only adult males were surveyed. Women and children were omitted from this study because female expatriates represent only 2% of the private sector [41] and the majority of female expatriates work in health care [33], which is one of the sectors excluded from the study.

Conclusion

The results of this study show that there is a significant association between insured expatriates’ knowledge of health insurance benefits and their lack of access to health care. More specifically, this study indicates that low perceived knowledge of health insurance among expatriates was associated with less access to health care. Interestingly, expatriates’ validated knowledge about health insurance benefits was not significantly associated with lack of access to health care after adjustment for other variables. This study stresses the importance of expatriates’ knowledge of health insurance benefits as opposed to knowledge of numerical copayment details.

In addition, the study illustrates that insurance availability for expatriates is not enough to guarantee their access to health care because lack of knowledge of health insurance benefits is significantly associated with lack of access to health care. The study findings cannot be isolated from the complex and interconnected relationships between different variables.

Notes

  1. The official name is Cooperative Health Insurance although it is a mandatory health insurance scheme. This name was given ease its enactment and acceptance [10]. Technically, this scheme should have been called Compulsory Employment-Based Health Insurance as stated by other study [21].

Abbreviations

CCHI:

Council of the cooperative health insurance

CI:

Confidence interval

MEPS:

Medical expenditure panel survey

OR:

Odds ratio

SPSS:

Statistical package for the social sciences

References

  1. Baicker K, Taubman SL, Allen HL, Bernstein M, Gruber JH, Newhouse JP, et al. The Oregon experiment--effects of Medicaid on clinical outcomes. N Engl J Med. 2013;368(18):1713–22.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  2. Sommers BD, Baicker K, Epstein AM. Mortality and access to care among adults after state Medicaid expansions. N Engl J Med. 2012;367(11):1025–34.

    Article  CAS  PubMed  Google Scholar 

  3. Dorn S. ImplEementing national health reform: A five-part strategy for reaching the eligible uninsured. In: Timely Analysis of Immediate Health Policy Issues. Washington D.C: Urban Institute; 2011. p. 13.

    Google Scholar 

  4. Levy H, Janke A. Health Literacy and Access to Care. J Health Commun. 2016;21(sup1):43–50.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Stern S. A Framework on Health Insurance Literacy for the Outreach and Enrollment Community. Washington D.C: Enroll America; 2015. p. 11.

    Google Scholar 

  6. Morgan RO, Teal CR, Hasche JC, Petersen LA, Byrne MM, Paterniti DA, et al. Does poorer familiarity with Medicare translate into worse access to health care? J Am Geriatr Soc. 2008;56(11):2053–60.

    Article  PubMed  Google Scholar 

  7. Quincy, L. Measuring health insurance literacy: A call to action. 2012. http://consumersunion.org/pub/Health_Insurance_Literacy_Roundtable_rpt.pdf. Accessed 13 Apr 2017.

    Google Scholar 

  8. McCormack L, Bann C, Uhrig J, Berkman N, Rudd R. Health Insurance Literacy of Older Adults. J Consum Aff. 2009;43(2):223–48.

    Article  Google Scholar 

  9. Cebul RD, Rebitzer JB, Taylor LJ, Votruba ME. Unhealthy Insurance Markets: Search Frictions and the Cost and Quality of Health Insurance. Am Econ Rev. 2011;101(5):1842–71.

    Article  Google Scholar 

  10. Alkhamis A. Knowledge of health insurance benefits among male expatriates in Saudi Arabia. Saudi Medical Journal. 2017;38(6):642–53.

    Article  PubMed  PubMed Central  Google Scholar 

  11. Agadjanian V, Menjívar C, Zotova N. Legality, Racialization, and Immigrants’ Experience of Ethnoracial Harassment in Russia. Soc Probl. 2017:spw042.

  12. Castañeda H, Holmes SM, Madrigal DS, M-ED Y, Beyeler N, Quesada J. Immigration as a social determinant of health. Annu Rev Public Health. 2015;36:375–92.

    Article  PubMed  Google Scholar 

  13. Paez KA, Mallery CJ, Noel H, Pugliese C, McSorley VE, Lucado JL, et al. Development of the Health Insurance Literacy Measure (HILM): Conceptualizing and Measuring Consumer Ability to Choose and Use Private Health Insurance. J Health Commun. 2014;19(sup2):225–39.

    Article  PubMed  PubMed Central  Google Scholar 

  14. Behar A. Labor Market Reforms to Boost Employment and Productivity in the GCC. In: Annual Meeting of Ministers of Finance and Central Bank Governors; 2013.

    Google Scholar 

  15. Jones, R. and A. Alomran. Saudi Arabia Puts Squeeze on Foreign Workers. The Wall Street Journal 2015. http://www.wsj.com/articles/saudi-arabia-puts-squeeze-on-foreign-workers-1425683630. Accessed 3 May 2016.

  16. Alkhamis A. A comparison of access to medical care for insured and uninsured expatriates in Saudi Arabia. In: Liverpool School of Tropical Medicine. Liverpool: University of Liverpool; 2013. p. 241.

    Google Scholar 

  17. Council of Cooperative Health Insurance. Roles of Council of Cooperative Health Insurance. 1999. https://www.cchi.gov.sa/en/AboutCCHI/Rules/OList/Pages/default.aspx. Accessed 3 Mar 2017.

    Google Scholar 

  18. Council of Cooperative Health Insurance. Annually Report 2016. Riyadh: Council of Cooperative Health Insurance; 2017. p. 125.

    Google Scholar 

  19. Saudi Arabian Monetary Authority. Annually statistics 2016. Riyadh: Saudi Arabian Monetary Authority; 2017. http://www.sama.gov.sa/en-US/EconomicReports/Pages/YearlyStatistics.aspx.

  20. Sinha A, Jaiswal R, Pal BD, Shuk K. Pre-launch Survey Report of Insurance Awareness Campaign. Delhi, India: National Council of Applied Economic Research; 2011. p. 127.

    Google Scholar 

  21. Alkhamis A, Hassan A, Cosgrove P. Financing healthcare in Gulf Cooperation Council countries: a focus on Saudi Arabia. Int J Health Plann Manag. 2014;29(1):e64–82.

    Article  Google Scholar 

  22. Council of Cooperative Health Insurance. annual Report 2007. Riyadh: Council of Cooperative Health Insurance; 2008. p. 113.

    Google Scholar 

  23. CCHI. Annual Report. Riyadh: Council Of Cooperative Health Insurance; 2008. p. 148.

    Google Scholar 

  24. CCHI. Annual Report. Riyadh: Council Of Cooperative Health Insurance; 2009. p. 156.

    Google Scholar 

  25. Council of Cooperative Health Insurance, Annual Report 2010. Riyadh: Council of Cooperative Health Insurance; 2011. p. 153. https://www.cchi.gov.sa/en/Studies/AnnualReport/Pages/default.aspx.

  26. Council of Cooperative Health Insurance. Annual Report 2011. Riyadh: Council of Cooperative Health Insurance; 2012. p. 69.

    Google Scholar 

  27. Council of Cooperative Health Insurance. Annual Report 2012. Riyadh: Council of Cooperative Health Insurance; 2013. p. 73.

    Google Scholar 

  28. Council of Cooperative Health Insurance. Annual report 2013. Riyadh: Council of Cooperative Health Insurance; 2014. p. 86.

    Google Scholar 

  29. Council of Cooperative Health Insurance. Annual report 2014. Riyadh: Council of Cooperative Health Insurance; 2015. p. 74.

    Google Scholar 

  30. Council of Cooperative Health Insurance. Annual report 2015. Riyadh: Council of Cooperative Health Insurance; 2016. p. 91.

    Google Scholar 

  31. Wood S, Hanoch Y, Barnes A, Liu PJ, Cummings J, Bhattacharya C, et al. Numeracy and Medicare Part D: the importance of choice and literacy for numbers in optimizing decision making for Medicare's prescription drug program. Psychol Aging. 2011;26(2):295–307.

    Article  PubMed  Google Scholar 

  32. General Authority for Statistics. Demography Survey 2016. Riyadh: General Authority for Statistics; 2017. p. 207.

    Google Scholar 

  33. Ministry of Labor and Social Development. Saudi Arabia Labor Market Report 2016. Riyadh: Ministry of Labor and Social Development; 2016. p. 53.

    Google Scholar 

  34. Alkhamis A, Cosgrove P, Mohamed G, Hassan A. The personal and workplace characteristics of uninsured expatriate males in Saudi Arabia. BMC Health Serv Res. 2017;17(1):56.

    Article  PubMed  PubMed Central  Google Scholar 

  35. AHRQ. MEPS-HC questionnaire; Rockville, MD U.S. department of Health & Human Services. 2009. http://www.meps.ahrq.gov/mepsweb/survey_comp/survey.jsp. Accessed 25 May 2016.

  36. Choi JY. Contextual effects on health care access among immigrants: Lessons from three ethnic communities in Hawaii. Soc Sci Med. 2009;69(8):1261–71.

    Article  PubMed  Google Scholar 

  37. Hu J. The role of health insurance in improving health services use by thais and ethnic minority migrants. Asia Pac J Public Health. 2010;22(1):42–50.

    Article  PubMed  Google Scholar 

  38. Carroll M, Sutherland G, Kemp-Casey A, Kinner SA. Agreement between self-reported healthcare service use and administrative records in a longitudinal study of adults recently released from prison. Health & Justice. 2016;4(1):11.

    Article  Google Scholar 

  39. Tisnado DMP, Adams JLP, Liu HP, Damberg CLP, W-PMS C, FAMD H, et al. What is the Concordance Between the Medical Record and Patient Self-Report as Data Sources for Ambulatory Care? [Article]. Med Care. 2006;44(2):132–40.

    Article  PubMed  Google Scholar 

  40. Johnson PJ, Blewett LA, Davern M. Disparities in Public Use Data Availability for Race, Ethnic, and Immigrant Groups: National Surveys for Healthcare Disparities Research. Med Care. 2010;48(12):1122–7.

    Article  PubMed  PubMed Central  Google Scholar 

  41. Ministry of Labor and Social Development. Annual report 2015. Riyadh: Ministry of Labor and Social Development; 2016. p. 159.

    Google Scholar 

Download references

Acknowledgements

I would like to express my gratitude to the all research assistants without their support this project would have been difficult to accomplish.

Funding

This work supported by King Abdullah International Medical Research Center under the grant number (RC13–193).

Availability of data and materials

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Author information

Authors and Affiliations

Authors

Contributions

“AA” designed the study, acquired, analyzed and interpreted the data, drafted and revised the manuscript and approved the final version of the manuscript’.

Corresponding author

Correspondence to Abdulwahab A. Alkhamis.

Ethics declarations

Ethics approval and consent to participate

Ethical Review Board approved this project under grant number RC13–193 at King Abdullah International Medical Research Center (KAIMRC), Riyadh, Saudi Arabia. Also written consent form and agreed to participant in this project were obtained from all participants. All participants were asked for permission to publish the study finding and assured of anonymity and confidently.

Consent for publication

Not applicable.

Competing interests

The author declares that he has no competing interests.

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Alkhamis, A.A. The association between insured male expatriates’ knowledge of health insurance benefits and lack of access to health care in Saudi Arabia. BMC Public Health 18, 354 (2018). https://doi.org/10.1186/s12889-018-5293-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12889-018-5293-0

Keywords