Poor Quality of Data in Africa: What Are the Issues?

Kinyondo, Abel; Pelizzo, Riccardo

doi:10.1111/polp.12277

Cited by 27 publications

(22 citation statements)

References 27 publications

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“…It is thus crucial that similar studies are conducted in a manner that addresses issues in the model that could result in misleading findings and ultimately misinterpretations. This conclusion resonates with those by Kinyondo and Pelizzo (2018) and Kinyondo, Pelizzo, and Bekenova (2019), which demonstrated how research can produce misleading outcomes if not conducted with necessary robustness. Indeed, the present study has shown that failure to address the endogeneity problem results in a significant underestimation of the impact of women’s working status on domestic violence, which can, in turn, mislead not only academic understanding but also policy formulation processes and decision making in general.…”

Section: Resultssupporting

confidence: 85%

Women’s employment status and domestic violence in Tanzania: How do they link?

Kinyondo

Joseph

2020

Int J Soc Welfare

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Domestic violence is a crime that affects women across the world. Tanzania is no exception. However, only a few studies have examined the relationship between domestic violence and women’s employment status in Tanzania. Moreover, such studies have methodological limitations. Using a 2‐stage linear probability model on a nationally representative sample, this study shows that the impact of women’s employment status on reducing domestic violence is much greater if endogeneity is controlled for. We conclude by arguing that there is a need for policies that enhance women’s employability and we call for greater rigour in research analysis to avoid drawing misleading conclusions.

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Section: Resultssupporting

confidence: 85%

Women’s employment status and domestic violence in Tanzania: How do they link?

Kinyondo

Joseph

2020

Int J Soc Welfare

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“…WHO urges member states to develop and improve the collection of data as noted in the Health Intervention Technology Assessment Resolution [2]. Much of the data described in this paper are derived from governmentsponsored information systems and census surveys, where statistics are reported to be systematically exaggerated across Africa [24,[71][72][73]. We did not assess the quality of the data sources in this paper but there are promising quality assurance processes to ensure data integrity for some sources [27,30,52].…”

Section: Strengths and Limitationsmentioning

confidence: 99%

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

Hollingworth

Downey

Ruiz

et al. 2020

Health Res Policy Sys

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Introduction Health technology assessment (HTA) is an effective tool to support priority setting and generate evidence for decision making especially en route to achieving universal health coverage (UHC). We assessed the capacity needs, policy areas of demand, and perspectives of key stakeholders for evidence-informed decision making in Nigeria where HTA is still new. Methods We surveyed 31 participants including decision makers, policy makers, academic researchers, civil society organizations, community-based organizations, development partners, health professional organizations. We revised an existing survey to qualitatively examine the need, policy areas of demand, and perspectives of stakeholders on HTA. We then analyzed responses and explored key themes. Results Most respondents were associated with organizations that generated or facilitated health services research. Research institutes highlighted their ability to provide expertise and skills for HTA research but some respondents noted a lack of human capacity for HTA. HTA was considered an important and valuable priority-setting tool with a key role in the design of health bene ts packages, clinical guideline development, and service improvement. Public health programs, medicines and vaccines were the three main technology types that would especially bene t from the application of HTA. The perceived availability and accessibility of suitable local data to support HTA varied widely but was mostly considered inadequate and limited. Respondents needed evidence on health system nancing, health service provision, burden of disease and noted a need for training support in research methodology, HTA and data management Conclusion The use of HTA by policymakers and communities in Nigeria is very limited mainly due to inadequate and insu cient capacity to produce and use HTA. Developing sustainable and institutionalized HTA systems requires in-country expertise and active participation from a range of stakeholders. Stakeholder participation in identifying HTA topics and conducting relevant research will enhance the use of HTA evidence produced for decision making. Therefore, the identi ed training needs for HTA and possible research topics should be considered a priority in establishing HTA for evidenceinformed policy making for achieving UHC particularly among the most vulnerable people in Nigeria.

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“…Facing no wartime censorship, only Spanish newspapers published accurate and reliable information back then. With the recent outbreak of COVID-19, we are again facing issues related to the quality of data (Ioannidis 2020; Kinyondo and Pelizzo 2018) and how it is interpreted and cross-nationally compared. Perhaps it is still too early to ask for perfect accuracy as statisticians and epidemiologists have yet to reach a consensus on the most crucial rates and figures (cf.…”

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confidence: 99%

Research Note: Governance Indicators Explain Discrepancies in COVID‐19 Data

Baris¹,

Pelizzo

2020

World Affairs

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The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is neutral. It does not discriminate: the outbreak affects all countries. Yet, countries with better governance detect and report COVID-19 cases an average of 34 days earlier than countries with low governance scores. They also report a significantly higher number of cases, and more deaths but lower death-per-case ratios. Analyzing the statistical relationship between the good governance indicators devised by the World Bank with data pertaining to COVID-19 (to May 10, 2020), we present some initial yet strong statistical evidence that countries with higher levels of good governance based on the Worldwide Governance Indicators report more (cases, deaths), report earlier, and are more effective at reducing fatalities. These findings remain robust after controlling for population size, population density, old-age population, and the number of tourist arrivals. Countries with better governance are more successful in treating the disease and in reducing its deadliness. Good governance matters.

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Poor Quality of Data in Africa: What Are the Issues?

Cited by 27 publications

References 27 publications

Women’s employment status and domestic violence in Tanzania: How do they link?

Women’s employment status and domestic violence in Tanzania: How do they link?

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

Research Note: Governance Indicators Explain Discrepancies in COVID‐19 Data

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