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      Predictors of enrollment in a health protection scheme among informal sector workers in Kumasi Metropolis of Ghana

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          Abstract

          Objective

          Informal sector workers are exposed to occupational hazards which could escalate their healthcare expenditures. Thus, enrollment in a health protection scheme among informal sector workers is useful for reducing their catastrophic healthcare expenditures. However, there is scant information on factors predicting their enrollment in the National Health Insurance Scheme (NHIS) in Ghana, a gap this quantitative study aims to fill. A sample of 350 informal sector workers was involved in a cross-sectional survey.

          Results

          Approximately 17% of the participants were enrolled in NHIS. Respondents who had worked between 5 and 7 years were significantly more likely to enroll in NHIS compared with those who had worked below 2 years (AOR = 13.159, CI 1.135–152.596, p = 0.039). The study further found that apprentices (AOR = 0.72, CI 0.353–1.056, p = 0.005) were less likely to enroll in NHIS compared with their masters. Participants who were exposed to electrical hazards (AOR = 2.93, CI 1.56–5.10, p = 0.013) and suffered from occupational diseases (AOR = 2.75, CI 1.743–5.17, p = 0.001) were significantly more likely to enroll in NHIS. Also, respondents who were non-Christians were significantly less likely to enroll in NHIS compared with their respective counterparts (AOR = 0.726, CI 0.067–2.503, p = 0.011). The findings are useful for increasing the NHIS enrollment rate among informal sector workers in Ghana.

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          Sampling methods in Clinical Research; an Educational Review

          Clinical research usually involves patients with a certain disease or a condition. The generalizability of clinical research findings is based on multiple factors related to the internal and external validity of the research methods. The main methodological issue that influences the generalizability of clinical research findings is the sampling method. In this educational article, we are explaining the different sampling methods in clinical research.
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            Social health insurance contributes to universal coverage in South Africa, but generates inequities: survey among members of a government employee insurance scheme

            Background Many low- and middle-income countries are reforming their health financing mechanisms as part of broader strategies to achieve universal health coverage (UHC). Voluntary social health insurance, despite evidence of resulting inequities, is attractive to policy makers as it generates additional funds for health, and provides access to a greater range of benefits for the formally employed. The South African government introduced a voluntary health insurance scheme (GEMS) for government employees in 2005 with the aim of improving access to care and extending health coverage. In this paper we ask whether the new scheme has assisted in efforts to move towards UHC. Methods Using a cross-sectional survey across four of South Africa’s nine provinces, we interviewed 1329 government employees, from the education and health sectors. Data were collected on socio-demographics, insurance coverage, health status and utilisation of health care. Multivariate logistic regression was used to determine if service utilisation was associated with insurance status. Results A quarter of respondents remained uninsured, even higher among 20–29 year olds (46%) and lower-skilled employees (58%). In multivariate analysis, the odds of an outpatient visit and hospital admission for the uninsured was 0.3 fold that of the insured. Cross-subsidisation within the scheme has provided lower-paid civil servants with improved access to outpatient care at private facilities and chronic medication, where their outpatient (0.54 visits/month) and inpatient utilisation (10.1%/year) approximates that of the overall population (29.4/month and 12.2% respectively). The scheme, however, generated inequities in utilisation among its members due to its differential benefit packages, with, for example, those with the most benefits having 1.0 outpatient visits/month compared to 0.6/month with lowest benefits. Conclusions By introducing the scheme, the government chose to prioritise access to private sector care for government employees, over improving the availability and quality of public sector services available to all. Government has recently regained its focus on achieving UHC through the public system, but is unlikely to discontinue GEMS, which is now firmly established. The inequities generated by the scheme have thus been institutionalised within the country’s financing system, and warrant attention. Raising scheme uptake and reducing differentials between benefit packages will ameliorate inequities within civil servants, but not across the country as a whole.
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              Factors That Influence Enrolment and Retention in Ghana’ National Health Insurance Scheme

              Background: The government of Ghana introduced the National Health Insurance Scheme (NHIS) in 2004 with the goal of achieving universal coverage within 5 years. Evidence, however, shows that expanding NHIS coverage and especially retaining members have remained a challenge. A multilevel perspective was employed as a conceptual framework and methodological tool to examine why enrolment and retention in the NHIS remains low. Methods: A household survey was conducted after 20 months educational and promotional activities aimed at improving enrolment and retention rates in 15 communities in the Central and Eastern Regions (ERs) of Ghana. Observation, indepth interviews and informal conversations were used to collect qualitative data. Forty key informants (community members, health providers and district health insurance schemes’ [DHISs] staff) purposely selected from two casestudy communities in the Central Region (CR) were interviewed. Several community members, health providers and DHISs’ staff were also engaged in informal conversations in the other five communities in the region. Also, four staff of the Ministry of Health (MoH), Ghana Health Service (GHS) and National Health Insurance Authority (NHIA) were engaged in in-depth interviews. Descriptive statistics was used to analyse quantitative data. Qualitative data was analysed using thematic content analysis. Results: The results show that factors that influence enrolment and retention in the NHIS are multi-dimensional and cut across all stakeholders. People enrolled and renewed their membership because of NHIS’ benefits and health providers’ positive behaviour. Barriers to enrolment and retention included: poverty, traditional risk-sharing arrangements influence people to enrol or renew their membership only when they need healthcare, dissatisfaction about health providers’ behaviour and service delivery challenges. Conclusion: Given the multi-dimensional nature of barriers to enrolment and retention, we suggest that the NHIA should engage DHISs, health providers and other stakeholders to develop and implement intervention activities to eliminate corruption, shortage of drugs in health facilities and enforce the compulsory enrolment stated in the NHIS policy to move the scheme towards universal coverage.
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                Author and article information

                Contributors
                ladydeeust@yahoo.com
                agyemangduahwilliams@yahoo.com
                menacqant1@gmail.com
                Journal
                BMC Res Notes
                BMC Res Notes
                BMC Research Notes
                BioMed Central (London )
                1756-0500
                21 November 2019
                21 November 2019
                2019
                : 12
                : 758
                Affiliations
                ISNI 0000000109466120, GRID grid.9829.a, Department of Planning, , Kwame Nkrumah University of Science and Technology, ; Kumasi, Ghana
                Author information
                http://orcid.org/0000-0001-8658-004X
                Article
                4782
                10.1186/s13104-019-4782-2
                6873757
                31752971
                b9d4d1cf-9d60-4557-a986-fa4b79ad40d1
                © The Author(s) 2019

                Open AccessThis 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.

                History
                : 29 March 2019
                : 2 November 2019
                Categories
                Research Note
                Custom metadata
                © The Author(s) 2019

                Medicine
                national health insurance scheme,enrollment,informal sector workers,kumasi metropolis
                Medicine
                national health insurance scheme, enrollment, informal sector workers, kumasi metropolis

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