Dataset Information

Factors influencing the utilization of research findings by health policy-makers in a developing country: the selection of Mali's essential medicines.

ABSTRACT:

Background

Research findings are increasingly being recognized as an important input in the formation of health policy. There is concern that research findings are not being utilized by health policy-makers to the extent that they could be. The factors influencing the utilization of various types of research by health policy-makers are beginning to emerge in the literature, however there is still little known about these factors in developing countries. The object of this study was to explore these factors by examining the policy-making process for a pharmaceutical policy common in developing countries; an essential medicines list.

Methods

A study of the selection and updating of Mali's national essential medicines list was undertaken using qualitative methods. In-depth semi-structured interviews and a natural group discussion were held with national policy-makers, most specifically members of the national commission that selects and updates the country's list. The resulting text was analyzed using a phenomenological approach. A document analysis was also performed.

Results

Several factors emerged from the textual data that appear to be influencing the utilization of health research findings for these policy-makers. These factors include: access to information, relevance of the research, use of research perceived as a time consuming process, trust in the research, authority of those who presented their view, competency in research methods, priority of research in the policy process, and accountability.

Conclusion

Improving the transfer of research to policy will require effort on the part of researchers, policy-makers, and third parties. This will include: collaboration between researchers and policy-makers, increased production and dissemination of relevant and useful research, and continued and improved technical support from networks and multi-national organizations. Policy-makers from developing countries will then be better equipped to make informed decisions concerning their health policy issues.

SUBMITTER: Albert MA

PROVIDER: S-EPMC1820594 | biostudies-literature | 2007 Mar

REPOSITORIES: biostudies-literature

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Publications

Factors influencing the utilization of research findings by health policy-makers in a developing country: the selection of Mali's essential medicines.

Albert Michael A MA Fretheim Atle A Maïga Diadié D

Health research policy and systems 20070305

<h4>Background</h4>Research findings are increasingly being recognized as an important input in the formation of health policy. There is concern that research findings are not being utilized by health policy-makers to the extent that they could be. The factors influencing the utilization of various types of research by health policy-makers are beginning to emerge in the literature, however there is still little known about these factors in developing countries. The object of this study was to ex ...[more]

PMID: 17338810

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Project description:ObjectiveTo explore the perspectives of a diverse group of stakeholders engaged in medicines decision making around what constitutes an "essential" medicine, and how the Essential Medicines List (EML) concept functions in a high income country context.MethodsIn-depth qualitative semi-structured interviews were conducted with 32 Australian stakeholders, recognised as decision makers, leaders or advisors in the area of medicines reimbursement or supply chain management. Participants were recruited from government, pharmaceutical industry, pharmaceutical wholesale/distribution companies, medicines non-profit organisations, academic health disciplines, hospitals, and consumer groups. Perspectives on the definition and application of the EML concept in a high income country context were thematically analysed using grounded theory approach.FindingsStakeholders found it challenging to describe the EML concept in the Australian context because many perceived it was generally used in resource scarce settings. Stakeholders were unable to distinguish whether nationally reimbursed medicines were essential medicines in Australia. Despite frequent generic drug shortages and high prices paid by consumers, many struggled to describe how the EML concept applied to Australia. Instead, broad inclusion of consumer needs, such as rare and high cost medicines, and consumer involvement in the decision making process, has led to expansive lists of nationally subsidised medicines. Therefore, improved communication and coordination is needed around shared interests between stakeholders regarding how medicines are prioritised and guaranteed in the supply chain.ConclusionsThis study showed that decision-making in Australia around reimbursement of medicines has strayed from the fundamental utilitarian concept of essential medicines. Many stakeholders involved in medicine reimbursement decisions and management of the supply chain did not consider the EML concept in their approach. The wide range of views of what stakeholders considered were essential medicines, challenges whether the EML concept is out-dated or underutilised in high income countries.

Project description:BackgroundSuboptimal medicine use is a global public health problem. For 35 years the World Health Organization (WHO) has promoted essential medicines policies to improve quality use of medicines (QUM), but evidence of their effectiveness is lacking, and uptake by countries remains low. Our objective was to determine whether WHO essential medicines policies are associated with better QUM.Methods and findingsWe compared results from independently conducted medicines use surveys in countries that did versus did not report implementation of WHO essential medicines policies. We extracted survey data on ten validated QUM indicators and 36 self-reported policy implementation variables from WHO databases for 2002-2008. We calculated the average difference (as percent) for the QUM indicators between countries reporting versus not reporting implementation of specific policies. Policies associated with positive effects were included in a regression of a composite QUM score on total numbers of implemented policies. Data were available for 56 countries. Twenty-seven policies were associated with better use of at least two percentage points. Eighteen policies were associated with significantly better use (unadjusted p<0.05), of which four were associated with positive differences of 10% or more: undergraduate training of doctors in standard treatment guidelines, undergraduate training of nurses in standard treatment guidelines, the ministry of health having a unit promoting rational use of medicines, and provision of essential medicines free at point of care to all patients. In regression analyses national wealth was positively associated with the composite QUM score and the number of policies reported as being implemented in that country. There was a positive correlation between the number of policies (out of the 27 policies with an effect size of 2% or more) that countries reported implementing and the composite QUM score (r=0.39, 95% CI 0.14 to 0.59, p=0.003). This correlation weakened but remained significant after inclusion of national wealth in multiple linear regression analyses. Multiple policies were more strongly associated with the QUM score in the 28 countries with gross national income per capita below the median value (US$2,333) (r=0.43, 95% CI 0.06 to 0.69, p=0.023) than in the 28 countries with values above the median (r=0.22, 95% CI -0.15 to 0.56, p=0.261). The main limitations of the study are the reliance on self-report of policy implementation and measures of medicine use from small surveys. While the data can be used to explore the association of essential medicines policies with medicine use, they cannot be used to compare or benchmark individual country performance.ConclusionsWHO essential medicines policies are associated with improved QUM, particularly in low-income countries. Please see later in the article for the Editors' Summary.

Project description:The use of sets of indicators to assess progress has become commonplace in the global health arena. Exploratory research has suggested that indicators used for global monitoring purposes can play a role in national policy-making, however, the mechanisms through which this occurs are poorly understood. This article reports findings from two qualitative studies that aimed to explore national policy-makers' interpretation and use of indicators from country profiles and reports developed by Countdown to 2015.An initial study aimed at exploring comprehension of Countdown data was conducted at the 2010 joint Women Deliver/Countdown conference. A second study was conducted at the 64th World Health Assembly in 2011, specifically targeting national policy-makers. Semi-structured interviews were carried out with 29 and 22 participants, respectively, at each event. Participants were asked about their understanding of specific graphs and indicators used or proposed for use in Countdown country profiles, and their perception of how such data can inform national policy-making. Responses were categorised using a framework analysis.Respondents in both studies acknowledged the importance of the profiles for tracking progress on key health indicators in and across countries, noting that they could be used to highlight changes in coverage, possible directions for future policy, for lobbying finance ministers to increase resources for health, and to stimulate competition between neighbouring or socioeconomically similar countries. However, some respondents raised questions about discrepancies between global estimates and data produced by national governments, and some struggled to understand the profile graphs shown in the absence of explanatory text. Some respondents reported that use of Countdown data in national policy-making was constrained by limited awareness of the initiative, insufficient detail in the country profiles to inform policy, and the absence of indicators felt to be more appropriate to their own country contexts.The two studies emphasise the need for country consultations to ensure that national policy-makers understand how to interpret and use tools like the Countdown profile for planning purposes. They make clear the value of qualitative research for refining tools used to promote accountability, and the need for country level Countdown-like processes.

Project description:BackgroundNon-communicable diseases (NCDs) are the leading cause of death worldwide. Inadequate and inequitable access to essential NCD medicines is a major concern, particularly in low- and middle-income countries. National Essential Medicines Lists (EMLs) are important policy tools that indicate which medicines are prioritized as essential within a country's health system. This study sought to analyze a wide range of national essential medicines lists (EMLs) for their inclusion of priority non communicable disease (NCD) interventions recommended by the World Health Organization (WHO).MethodsThree lists of WHO endorsed priority NCD interventions were included. A database with 137 national EMLs and the WHO EML was created from the WHO Repository and these EMLs were compared for listing of priority NCD interventions.ResultsAcross 137 countries with national EMLs, the median percentage of 20 Best Buys interventions listed was 90% (IQR 80-95) and 31 Package of essential noncommunicable disease interventions (PEN) interventions listed was 94% (IQR 90-97), of 9 HEARTS interventions was 100% (IQR 89-100), and of the 43 unique interventions across the three priority lists was 88% (IQR 84-93). Less than 80% of the 43 interventions were listed by 22 (16%) countries and less than half of the interventions were listed by 2 countries: Angola (35%) and Cambodia (23%). Interventions listed on the fewest number of national EMLs were: influenza vaccine, HPV vaccine, hepatitis B vaccine, cervical cancer chemotherapy, codeine, promethazine, senna, and oxygen.ConclusionMost NCD interventions have been prioritized in national policy in most cases. The majority of priority medicines for NCDs described within key WHO NCD technical packages are listed on nearly all national EMLs across 137 countries of all income levels. Most NCD interventions have been prioritized in national policy in most cases, but in some countries and for select interventions such as the HPV vaccine, prioritization may be reviewed.

Project description:SUPPORT tools consist of 18 articles addressing the health policy-makers so that they can learn how to make evidence-informed health policies. These tools have been particularly recommended for developing countries. The present study tries to explain the process of evidence utilization for developing policy documents in the Iranian Ministry of Health and Medical Education (MoHME) and to compare the findings with those of SUPPORT tools.A qualitative research was conducted, using the framework analysis approach. Participants consisted of senior managers and technicians in MoHME. Purposeful sampling was done, with a maximum variety, for the selection of research participants: individuals having at least 5 years of experience in preparing evidence-based policy documents. Face-to-face interviews were conducted for data collection. As a guideline for the interviews, 'the Utilization of Evidence in Policy-Making Organizations' procedure was used. The data were analyzed through the analysis of the framework method using MAXQDA 10 software.The participants acquired the research evidence in a topic-based form, and they were less likely to search on the basis of the evidence pyramid. To assess the quality of evidence, they did not use standard critical tools; to adapt the evidence and interventions with the local setting, they did not use the ideas and experiences of all stakeholders, and in preparing the evidence-based policy documents, they did not take into consideration the window of opportunity, did not refrain from using highly technical terms, did not write user-friendly summaries, and did not present alternative policy options. In order to develop health policies, however, they used the following innovations: attention to the financial burden of policy issues on the agenda, sensitivity analysis of the preferred policy option on the basis of technical, sociopolitical, and economic feasibility, advocacy from other scholars, using the multi-criteria decision-making models for the prioritization of policy options, implementation of policy based on the degree of readiness of policy-implementing units, and the classification of policy documents on the basis of different conditions of policy-making (urgent, short-term, and long-term).Findings showed that the process of evidence utilization in IR-MoH enjoys some innovations for the support of health policy development. The present study provides IR-MoH with considerable opportunities for the improvement of evidence-informed health policy-making. Moreover, the SUPPORT process and tools are recommended to be used in developing countries.

Project description:The World Health Organization Essential Medicines List (WHO-LIST) and national essential medicines lists differ because many countries face significant challenges, such as product availability, cost, product quality and epidemiological disease profiles. In Brazil, governments pay for drugs that are included on the federal, state and municipal government (REMUME) lists. The extent to which municipal lists differ from state and national lists and from the WHO-LIST is unclear. We investigate the use of the WHO-LISTas a tool with which to evaluate the selection process for the essential psychiatric medicines in the public system coverage list of Brazilian communities (cities) and the use of the target drugs.Municipal health secretaries were interviewed regarding the selection process for REMUMEs and the antidepressants and benzodiazepines included in REMUMEs and reference lists. We calculated the use of REMUME drugs that appeared or did not appear on reference lists according to the defined daily dose (DDD) per 10,000 inhabitants.Local physicians and pharmacists without specific training or explicit criteria developed the REMUMEs. Of the 13 drugs and 24 products (i.e., the different dosages of these 13 drugs) in the REMUMEs, 8 drugs and 10 products were included in at least one reference list and in one municipal list; 4 drugs and 6 products were included in at least one reference list but in none of the municipal lists; and 7 drugs and 8 products were included in at least one municipal list but in none of the reference lists. The antidepressants that appeared in at least one municipal list but in none of the reference lists represented 25.1 % (mean 60.9 DDD/10,000 inhabitants-day) of the usage. The benzodiazepines that appeared in at least one of the municipal lists but in none of the reference lists represented 14.7 % mean 18.5 DDD/10,000 inhabitants-day) of the usage.Brazilian cities have no rigorous processes for selecting the drugs that appear on their lists, and drugs that do not appear on the reference lists represent a significant proportion of antidepressant and benzodiazepine use, resulting in public health and social problems.

Project description:BackgroundThis article is based upon data gathered during a study conducted in partnership with the World Intellectual Property Organization on the patent status of products appearing on the World Health Organization's 2013 Model List of Essential Medicines (MLEM). It is a statistical analysis aimed at answering: in which developing countries are patents on essential medicines being filed?MethodsPatent data were collected by linking those listed in the United States and Canada's medicine patent registers to corresponding patents in developing countries using two international patent databases (INPADOC and Derwent) via a commerical-grade patent search platform (Thomson Innovation). The respective supplier companies were then contacted to correct and verify our data. We next tallied the number of MLEM patents per developing country. Spearman correlations were done to assess bivariate relationships between variables, and a multivariate regression model was developed to explain the number of MLEM patents in each country using SPSS 23.0.ResultsA subset of 20 of the 375 (5%) products on the 2013 MLEM fit our inclusion criteria. The patent estate reports (i.e., the global list of patents for a given drug) varied greatly in their number with a median of 48 patents (interquartile range [IQR]: 26-76). Their geographic reach had a median of 15% of the developing countries sampled (IQR: 8-28%). The number of developing countries covered appeared to increase with the age of the patent estate (r = .433, p = 0.028). The number of MLEM patents per country was significantly positively associated with human development index (HDI), gross domestic income (GDI) per capita, total healthcare expenditure per capita, population size, the Rule of Law Index, and average education level. Population size, GDI per capita, and healthcare expenditure (in % of national expenditure) were predictors of the number of MLEM patents in countries (p = 0.001, p = 0.001, p = 0.009, respectively). Population size was the most important predictor (β = 0.59), followed by income (GDI per capita) (β = 0.32), and healthcare expenditure (β = 0.15). Holding the other factors constant, (i) 14.3 million more people, (ii) $833.33 more per capita (GDI), or (iii) 0.88% more of national spending on healthcare resulted in 1 additional essential medicine patent.ConclusionPopulation was a powerful predictor of the number of patent filings in developing countries along with GDI and healthcare expenditure. The age and historical context of the patent estate may make a difference in the number of patents and countries covered. Broad surveillance and benchmarking of the global medicine patent landscape is valuable for detecting significant shifts that may occur over time. With improved international medicine patent transparency by companies and data available through third parties, such studies will be increasingly feasible.

Project description:BACKGROUND: Increasing attention is being paid to the affordability of medicines in low- and middle-income countries (LICs and MICs) where medicines are often highly priced in relation to income levels. The impoverishing effect of medicine purchases can be estimated by determining pre- and postpayment incomes, which are then compared to a poverty line. Here we estimate the impoverishing effects of four medicines in 16 LICs and MICs using the impoverishment method as a metric of affordability. METHODS AND FINDINGS: Affordability was assessed in terms of the proportion of the population being pushed below US$1.25 or US$2 per day poverty levels because of the purchase of medicines. The prices of salbutamol 100 mcg/dose inhaler, glibenclamide 5 mg cap/tab, atenolol 50 mg cap/tab, and amoxicillin 250 mg cap/tab were obtained from facility-based surveys undertaken using a standard measurement methodology. The World Bank's World Development Indicators provided household expenditure data and information on income distributions. In the countries studied, purchasing these medicines would impoverish large portions of the population (up to 86%). Originator brand products were less affordable than the lowest-priced generic equivalents. In the Philippines, for example, originator brand atenolol would push an additional 22% of the population below US$1.25 per day, whereas for the lowest priced generic equivalent this demographic shift is 7%. Given related prevalence figures, substantial numbers of people are affected by the unaffordability of medicines. CONCLUSIONS: Comparing medicine prices to available income in LICs and MICs shows that medicine purchases by individuals in those countries could lead to the impoverishment of large numbers of people. Action is needed to improve medicine affordability, such as promoting the use of quality assured, low-priced generics, and establishing health insurance systems. Please see later in the article for the Editors' Summary.

Project description:AimDiabetes is a growing burden especially in low and middle income countries (LMICs). Inadequate access to diabetes care is of particular concern and selection of appropriate diabetes medicines on national essential medicines lists (NEMLs) is a first step in achieving adequate access. This selection was studied among LMICs and influences of various factors associated with selection decisions were assessed.MethodsCountries were studied if they employed NEMLs for reimbursement or procurement purposes. Presence and number of essential diabetes medicines from different classes, both insulins and oral blood glucose lowering medicines, were surveyed and calculated. Data were also analyzed by country income level, geographic region, year of last update of the NEML and purpose of NEML employment. The effect of prevalence and burden of disease on the number of essential diabetes medicines was also studied. Non parametric tests and univariate linear regression analysis were used.ResultsNearly all countries (n?=?32) had chosen fast (97%) and intermediate acting insulin (93%), glibenclamide and metformin (100% both) as essential medicines. The median number of essential diabetes medicines was 6, equally divided between insulins and oral medicines. 20% of the countries had selected insulin analogues as essential medicines. Among all the studied factors, an increase in burden of diabetes and wealth of countries were associated with selection of higher numbers of essential diabetes medicines (p?=?0.02 in both cases).ConclusionsNearly all the studied LMICs had included the minimum required medicines for diabetes management in their NEMLs. Selection can still be improved (e.g. exclusion of insulin analogues and replacement of glibenclamide by gliclazide). Nevertheless, the known suboptimal and inconsistent availability of essential diabetes medicines in LMICs cannot be explained by inadequate selection of essential medicines. Countries should therefore be encouraged to give precedence to implementation of NEMLs to make essential diabetes medicines more accessible.

Dataset Information

Factors influencing the utilization of research findings by health policy-makers in a developing country: the selection of Mali's essential medicines.

Background

Methods

Results

Conclusion

Publications

Factors influencing the utilization of research findings by health policy-makers in a developing country: the selection of Mali's essential medicines.

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