Browsing by Author "Dsane-Selby, L."
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Item Evaluating the impact of the national health insurance scheme of Ghana on out of pocket expenditures: A systematic review(BMC Health Services Research, 2018-12) Okoroh, J.; Essoun, S.; Seddoh, A.; Harris, H.; Weissman, J.S.; Dsane-Selby, L.; Riviello, R.Background Approximately 150 million people suffer from financial catastrophe annually because of out-of-pocket expenditures (OOPEs) on health. Although the National Health Insurance Scheme (NHIS) of Ghana was designed to promote universal health coverage, OOPEs as a proportion of total health expenditures remains elevated at 26%, exceeding the WHO’s recommendations of less than 15–20%. To determine whether enrollment in the NHIS reduces the likelihood of OOPEs and catastrophic health expenditures (CHEs) in Ghana, we undertook a systematic review of the published literature. Methods We searched for quantitative articles published in English between January 1, 2003 and August 22, 2017 in PubMed, Google Scholar, Economic Literature, Global Health, PAIS International, and African Index Medicus. Two independent authors (J.S.O. & S.E.) reviewed the articles for inclusion, extracted the data, and conducted a quality assessment of the studies. We accepted the World Health Organization definition of catastrophic health expenditures which is out of pocket payments for health care which exceeds 20% of annual house hold income, 10% of household expenditures, or 40% of subsistence expenditures (total household expenditures net food expenditures). Results Of the 1094 articles initially identified, 7 were eligible for inclusion. These were cross-sectional household studies published between 2008 and 2016 in Ghana. They demonstrated that the uninsured paid 1.4 to 10 times more in out-of-pocket payments (OOPs) and were more likely to incur CHEs than the insured. Yet, 6 to 18% of insured households made catastrophic payments for healthcare and all studies reported insured members making OOPs for medicines. Conclusion Evidence suggests that the national health insurance scheme of Ghana over the last 14 years has made some impact on reducing OOPEs, and yet healthcare costs remain catastrophic for a large proportion of insured households in Ghana. Future studies need to explore reasons for the persistence of OOPs for medicines and services that are covered under the scheme.Item Reducing medical claims cost to Ghana’s National Health Insurance scheme: a cross-sectional comparative assessment of the paper- and electronic-based claims reviews(BioMed Central Ltd., 2017) Nsiah-Boateng, E.; Asenso-Boadi, F.; Dsane-Selby, L.; Andoh-Adjei, F.-X.; Otoo, N.; Akweongo, P.; Aikins, M.Background: A robust medical claims review system is crucial for addressing fraud and abuse and ensuring financial viability of health insurance organisations. This paper assesses claims adjustment rate of the paper- and electronic-based claims reviews of the National Health Insurance Scheme (NHIS) in Ghana. Methods: The study was a cross-sectional comparative assessment of paper- and electronic-based claims reviews of the NHIS. Medical claims of subscribers for the year, 2014 were requested from the claims directorate and analysed. Proportions of claims adjusted by the paper- and electronic-based claims reviews were determined for each type of healthcare facility. Bivariate analyses were also conducted to test for differences in claims adjustments between healthcare facility types, and between the two claims reviews. Results: The electronic-based review made overall adjustment of 17.0% from GHS10.09 million (USD2.64 m) claims cost whilst the paper-based review adjusted 4.9% from a total of GHS57.50 million (USD15.09 m) claims cost received, and the difference was significant (p < 0.001). However, there were no significant differences in claims cost adjustment rate between healthcare facility types by the electronic-based (p = 0.0656) and by the paper-based reviews (p = 0.6484). Conclusions: The electronic-based review adjusted significantly higher claims cost than the paper-based claims review. Scaling up the electronic-based review to cover claims from all accredited care providers could reduce spurious claims cost to the scheme and ensure long term financial sustainability.Item A review of the Ghana National Health Insurance Scheme claims database: possibilities and limits for drug utilization research(Basic and Clinical Pharmacology and Toxicology, 2019-01) Ankrah, D.; Hallas, J.; Odei, J.; Asenso-Boadi, F.; Dsane-Selby, L.; Donneyong, M.Background: There are inadequate data on prescribed drug utilization in Sub-Saharan Africa (SSA). Drug utilization research (DUR) in this region is hampered by lack of access to databases that capture prescribed drug utilization such as health insurance claims, electronic medical records and disease registries. The primary objective of this MiniReview was to describe the content of the NHIS claims database in the context of the health care system in Ghana. We will also review the possibilities and limitations of analysing this novel database for drug utilization research (DUR) in Ghana. Methods: We reviewed the history, composition of the database, coverage and health systems in Ghana. To demonstrate the application of the NHIS claims database for DUR, we reviewed the NHIS’ drug formulary (NHIS medicines’ list), assessed and quantified the utilization of the top 25 most commonly prescribed medicines and their distributions by age, sex, region of residence and by MDCs. Results: As of December 2014, about 40% (~10.5 million) of the Ghanaian population were active beneficiaries of NHIS. There were 1.43 million unique patients in the NHIS claims database who received services from about 81 providers located in 9 out of the 10 regions in Ghana. The mean age of this sample of beneficiaries was 31 (standard deviation, 22) years, a third of whom were aged <18 years old. Nearly, 2 out of every 3 beneficiaries were females. On average, there were approximately 3 outpatient visits per beneficiary in 2015. There were about 522 unique drugs on the NHIS medicine list. Overall, analgesic was the most prescribed class of medicine (mostly paracetamol and diclofenac). Antimalarials, artemether-lumefantrine, were observed as the second most prescribed medicines followed by anti-infectives (metronidazole) and antihypertensives (amlodipine). Conclusion: The Ghana NHIS claims database is a great resource for DUR. This database could also be extended to facilitate pharmacoepidemiological and other health services’ research especially if transformed into one of the existing standardized common data models. © 2018 Nordic Association for the Publication of BCPT (former Nordic Pharmacological Society)Item What do we need to know? Data sources to support evidence-based decisions using health technology assessment in Ghana(Health Research Policy and Systems, 2020-04-28) Nonvignon, J.; Hollingworth, S.A.; Downey, L.; Ruiz, F.J.; Odame, E.; Dsane-Selby, L.; Gyansa-Lutterodt, M.; Chalkidou, K.Background: Evidence-based decision-making for prioritising health is assisted by health technology assessment (HTA) to integrate data on effectiveness, costs and equity to support transparent decisions. Ghana is moving towards universal health coverage, facilitated mainly by the National Health Insurance Scheme (NHIS) established in 2003. The Government of Ghana is committed to institutionalising HTA for priority-setting. We aimed to identify and describe the sources of accessible data to support HTA in Ghana. Methods: We identified and described data sources encompassing six main domains using an existing framework. The domains were epidemiology, clinical efficacy, costs, health service use and consumption, quality of life, and equity. We used existing knowledge, views of stakeholders, and searches of the literature and internet. Results: The data sources for each of the six domains vary in extent and quality. Ghana has several large data sources to support HTA (e.g. Demographic Health Surveys) that have rigorous quality assurance processes. Few accessible data sources were available for costs and resource utilisation. The NHIS is a potentially rich source of data on resource use and costs but there are some limits on access. There are some data on equity but data on quality of life are limited. Conclusions: A small number of quality data sources are available in Ghana but there are some gaps with respect to HTA based on greater use of local and contextualised information. Although more data are becoming available for monitoring, challenges remain in terms of their usefulness for HTA, and some information may not be available in disaggregated form to enable specific analyses. We support recent initiatives for the routine collection of comprehensive and reliable data that is easily accessible for HTA users. A commitment to HTA will require concerted efforts to leverage existing data sources, for example, from the NHIS, and develop and maintain new data (e.g. local health utility estimates). It will be critical that an overarching strategic and mandatory approach to the collection and use of health information is developed for Ghana in parallel to, and informed by, the development of HTA approaches to support resource allocation decisions. The key to HTA is to use the best available data while being open about its limitations and the impact on uncertainty.