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What do we need to know? Data sources to support evidence-based decisions using health technology assessment in Ghana.

ABSTRACT: 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.

SUBMITTER: Hollingworth SA

PROVIDER: S-EPMC7189587 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature

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What do we need to know? Data sources to support evidence-based decisions using health technology assessment in Ghana.

Hollingworth Samantha A SA Downey Laura L Ruiz Francis J FJ Odame Emmanuel E Dsane-Selby Lydia L Gyansa-Lutterodt Martha M Nonvignon Justice J Chalkidou Kalipso K

Health research policy and systems 20200428 1

<h4>Background</h4>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 t ...[more]

PMID: 32345297

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Project description:Background: Health technology assessment (HTA) provides a globally-accepted and structured approach to synthesising evidence for cost and clinical effectiveness alongside ethical and equity considerations to inform evidence-based priorities. India is one of the most recent countries to formally commit to institutionalising HTA as an integral component of the heath resource allocation decision-making process. The effective conduct of HTA depends on the availability of reliable data. Methods: We draw from our experience of collecting, synthesizing, and analysing health-related datasets in India and internationally, to highlight the complex requirements for undertaking HTA, and explore the availability of such data in India. We first outlined each of the core data components required for the conduct of HTA, and their availability in India, drawing attention to where data can be accessed, and different ways in which researchers can overcome the challenges of missing or low quality data. Results: We grouped data into the following categories: clinical efficacy; cost; epidemiology; quality of life; service use/consumption; and equity. We identified numerous large local data sources containing epidemiological information. There was a marked absence of other locally-collected data necessary for informing HTA, particularly data relating to cost, service use, and quality of life. Conclusions: The introduction of HTA into the health policy space in India provides an opportunity to comprehensively assess the availability and quality of health data capture across the country. While epidemiological information is routinely collected across India, other data inputs necessary for HTA are not readily available. This poses a significant bottleneck to the efficient generation and deployment of HTA into the health decision space. Overcoming these data gaps by strengthening the routine collection of comprehensive and verifiable health data will have important implications not only for embedding economic analyses into the priority setting process, but for strengthening the health system as a whole.

Project description:ImportanceMedical Device Safety Communications (MDSCs) are used by the US Food and Drug Administration (FDA) to convey important new safety information to patients and health care professionals. The sources of initial safety signals that trigger MDSCs have not been described previously.ObjectiveTo assess the sources of initial safety signals that trigger publication of MDSCs and the potential associations among MDSC data source, type of safety issue, and subsequent FDA action.Design, setting, and participantsIn this cross-sectional study, all MDSCs published on the FDA website between January 1, 2011, and December 31, 2019, were assessed. The MDSC characteristics, sources of initiating safety signals, regulatory approval or clearance pathways of the related medical devices, and subsequent FDA actions were collected from the FDA website.Main outcomes and measuresThe main outcome was the distribution of sources of initial safety signals that led to publication of MDSCs. Secondary aims included exploration of potential associations among safety signal sources (direct reporting vs other), type of safety issue (death vs other), and FDA action (withdrawal vs other).ResultsA total of 93 MDSCs were evaluated. Median time from device approval to MDSC posting was 10 years (interquartile range, 6-16 years). The most common data sources that triggered MDSCs were direct reports to the FDA through the Medical Device Reporting (MDR) program (44 of 93 [47%]) followed by regulator-initiated assessments (32 [34%]). Common safety issues included patient injury (25 [27%]), potential wrong diagnoses (19 [20%]), and death (18 [19%]). Frequent FDA action after MDSC posting included recommendation for increased vigilance and caution (47 [51%]), complete device withdrawal (12 [13%]), and warnings of specific lots or clinics (12 [13%]). There was a statistically significant correlation between direct reports of adverse events to the FDA through the MDR program and risk of death as a safety issue (14 of 44 [32%] for direct reporting vs 4 of 49 [8%] for any other data sources, P = .007).Conclusions and relevanceIn this cross-sectional study, the most common source of initial safety signals that triggered MDSCs was direct reports of real-world adverse events to the FDA through the MDR program. The delayed detection of postmarketing adverse events highlights the importance of proactive identification of emerging device-related safety issues.

Project description:BackgroundInitiatives to raise the quality of care provided to mothers need to be given priority in Sub Saharan Africa (SSA). The promotion of clinical practice guidelines (CPGs) is a common strategy, but their implementation is often challenging, limiting their potential impact. Through a cross-country perspective, this study explored CPGs for maternal health in Burkina Faso, Ghana, and Tanzania. The objectives were to compare factors related to CPG use including their content compared with World Health Organization (WHO) guidelines, their format, and their development processes. Perceptions of their availability and use in practice were also explored. The overall purpose was to further the understanding of how to increase CPGs' potential to improve quality of care for mothers in SSA.MethodsThe study was a multiple case study design consisting of cross-country comparisons using document review and key informant interviews. A conceptual framework to aid analysis and discussion of results was developed, including selected domains related to guidelines' implementability and use by health workers in practice in terms of usability, applicability, and adaptability.ResultsThe study revealed few significant differences in content between the national guidelines for maternal health and WHO recommendations. There were, however, marked variations in the format of CPGs between the three countries. Apart from the Ghanaian and one of the Tanzanian CPGs, the levels of both usability and applicability were assessed as low or medium. In all three countries, the use of CPGs by health workers in practice was perceived to be limited.ConclusionOur cross-country study suggests that it is not poor quality of content or lack of evidence base that constitute the major barrier for CPGs to positively impact on quality improvement in maternal care in SSA. It rather emphasises the need to prioritise the format of guidelines to increase their usability and applicability and to consider these attributes together with implementation strategies as integral to their development processes.

Dataset Information

What do we need to know? Data sources to support evidence-based decisions using health technology assessment in Ghana.

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What do we need to know? Data sources to support evidence-based decisions using health technology assessment in Ghana.

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