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Background: Policymakers in sub-Saharan Africa (SSA) face challenging decisions regarding the allocation of health resources. Economic evaluations can help decision makers to determine which health interventions should be funded and or included in their benefits package. A major problem is whether the evaluations incorporated data from sources that are reliable and relevant to the country of interest. We aimed to review the quality of the data sources used in all published economic evaluations for cardiovascular disease and diabetes in SSA., Methods: We systematically searched selected databases for all published economic evaluations for CVD and diabetes in SSA. We modified a hierarchy of data sources and used a reference case to measure the adherence to reporting and methodological characteristics, and descriptively analysed author statements., Results: From 7,297 articles retrieved from the search, we selected 35 for study inclusion. Most were modelled evaluations and almost all focused on pharmacological interventions. The studies adhered to the reporting standards but were less adherent to the methodological standards. The quality of data sources varied. The quality level of evidence in the data domains of resource use and costs were generally considered of high quality, with studies often sourcing information from reliable databases within the same jurisdiction. The authors of most studies referred to data sources in the discussion section of the publications highlighting the challenges of obtaining good quality and locally relevant data., Conclusions: The data sources in some domains are considered high quality but there remains a need to make substantial improvements in the methodological adherence and overall quality of data sources to provide evidence that is sufficiently robust to support decision making in SSA within the context of UHC and health benefits plans. Many SSA governments will need to strengthen and build their capacity to conduct economic evaluations of interventions and health technology assessment for improved priority setting. This capacity building includes enhancing local infrastructures for routine data production and management. If many of the policy makers are using economic evaluations to guide resource allocation, it is imperative that the evidence used is of the feasibly highest quality., (© 2023. BioMed Central Ltd., part of Springer Nature.)

Background: Non-communicable diseases are a growing burden in many African countries; cardiovascular disease is the main disease. Antihypertensive medicines (AHM) are a common treatment option but we know little about community use in most low- and medium-income countries (LMIC). We aimed to describe the use of antihypertensive medicines (AHM) in Ghana and Nigeria using a novel data source., Methods: We used data from mPharma-a health and pharmaceutical company which distributes pharmaceuticals to hospital and retail pharmacies. We extracted data using the anatomical therapeutic chemical (ATC) classification codes and calculated use in defined daily doses and explored patterns by class, medicines, dose, and originator or generic product., Results: AHM use differed between Ghana and Nigeria. The most used classes in Ghana were angiotensin receptor blockers (ARB) followed by calcium channel blockers (CCB) and angiotensin-converting-enzyme inhibitors (ACEi). The five most used products were 16 mg candesartan, 30 mg nifedipine, 10 mg lisinopril, 5 mg amlodipine and 50 mg losartan. In Nigeria ARB, CCB and diuretics were widely used; the top five products were 50 mg losartan, 10 mg lisinopril, 30 mg nifedipine, 40 mg furosemide, and 5 mg amlodipine. More originator products were used in Ghana than Nigeria., Conclusion: The differences between Ghana and Nigeria may result from a combination of medical, contextual and policy evidence and reflect factors related to clinical guidance (e.g. standard treatment guidelines), accessibility to prescribers and the role of community pharmacies, and structure of the health system and universal health coverage including funding for medicines. We show the feasibility of using novel data sources to gain insights on medicines use in the community., (© 2022. The Author(s).)

Background: While women are taking a greater role in decisions about menopause symptom management, the legacy of the Women's Health Initiative (WHI) studies persist. Despite hormone therapy (HT) being effective in reducing all-cause mortality, many women seeking relief of menopausal symptoms exaggerate HT harms and overstate the perceived benefits or ignore the risks of alternative therapies. We aimed to explore the longitudinal impact of the widely-publicised WHI 2002 study on women's information-seeking and describe determinants of decision-making about managing menopausal symptoms., Methods: In a longitudinal analysis of both quantitative and qualitative data, we explored consumer questions about menopause-related medicines received by two Australian medicines call centres (1996-2010) before, during, and after WHI 2002. We analysed calls by age and gender of caller and patient, their relationship, postcode, enquiry type, and motivation to help-seek. We compared calls regarding HT and herbal medicines (HM) with the rest of calls, and thematically analysed question narratives across the three time-periods., Results: There were 1,829 menopause-related calls received of over this time-period, with a call surge, primarily from women in their mid-fifties, in the two months after the WHI 2002 publication. Two in three calls were motivated by negative media reports as women sought support for decision-making, primarily reassurance to cease HT. While HT safety concerns persisted for eight years post-publication, the nature of information-seeking changed over time. Callers subsequently sought reassurance to use menopause treatments together with their other medicines; and pursued HT substitutes, including HM, in response to HT product discontinuation., Conclusions: Women sought information or reassurance to support a decision, based on dynamic changes in internal (symptom or risk intolerance, attitude towards menopause and treatment preferences) and external factors (perceived source trust and changes in treatment availability). In assessing HT benefit versus risk, women tend to overestimate risk with HT safety concerns persisting over time. Decision-making in managing menopause symptoms is complex and dynamic. Reassurance to reach or justify decisions from a perceived trusted source can support informed decision-making., (© 2021. The Author(s).)

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.

Background: A new model of complex diabetes care is provided by a multidisciplinary team which incorporates general practitioner (GP) Clinical Fellows supported by an Endocrinologist and diabetes educator within a community-based general practice setting. This study evaluates the health and clinical benefits of the new model of care, assesses the acceptability of the model to patients, GPs and other health professionals, and examines the cost-effectiveness of the model., Methods/design: The study is an open, non-inferiority randomised controlled trial with data collected at baseline, 6 and 12 months. Participants are identified from new patients on hospital-based diabetes outpatient clinic waiting lists and new GP referrals. Eligible consenting patients are randomised to either a community practice site (intervention) or a hospital site (usual care). In the intervention model, medical care is led by a GP Clinical Fellow in partnership with an Endocrinologist. Quantitative measures include clinical indicators with HbA1c as the primary outcome; patient-reported outcomes include health-related quality of life, mental health and satisfaction with care. Qualitative methods will be used to explore the perspectives and experiences of patients and providers regarding the new model of care. An economic evaluation will also be undertaken., Discussion: This model of care seeks to improve the quality and safety of healthcare at the interface between the hospital and primary care sectors for patients with complex diabetes. The study will provide empirical evidence about the impact of the model of care on health outcomes, patient and clinician satisfaction, as well as any economic impacts., Trial Registration: Clinical Trials Registry Number: ACTRN12612000380897.