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Enregistrement W2901758821 · doi:10.1186/s40900-018-0121-3

Stakeholder involvement in health research priority setting in low income countries: the case of Zambia

2018· article· en· W2901758821 sur OpenAlexafffund
Lydia Kapiriri

Notice bibliographique

RevueResearch Involvement and Engagement · 2018
Typearticle
Langueen
DomaineEconomics, Econometrics and Finance
ThématiqueHealth Systems, Economic Evaluations, Quality of Life
Établissements canadiensMcMaster University
Organismes subventionnairesCanadian Institutes of Health Research
Mots-clésStakeholderBusinessStakeholder engagementEconomic growthEnvironmental planningEnvironmental resource managementPolitical scienceGeographyEconomicsPublic relations

Résumé

récupéré en direct d'OpenAlex

While there is increasing recognition of the importance of stakeholder involvement in health research priority setting there is a paucity of literature reporting on stakeholder involvement in health research priority setting in low income countries. This paper fills this gap by identifying and discussing the roles and legitimacy of different stakeholders (including the public and patients) involved in the health research priority setting process in Zambia; identifying the barriers to public participation and proposing improvement strategies. We interviewed 28 policy makers and practitioners who had participated in the national level health research priority setting in Zambia. Reported participants in health research priority setting included research users, researchers, research funders and the community/ public. Research funders were thought to have undue influence while the public and patients were not effectively involved. This could be due to the public’s lack of education, lack of resources to facilitate public involvement and limited skills to meaningfully engage the public. Participation of people from rural areas, women and young professionals was also limited. While there is a commitment to broad stakeholder involvement in health research priority setting, there’s limited public/patient involvement. Public education, availing more resources, and skills to meaningfully engage the public need to be explored. The undue influence of research funders should be mitigated and incentives availed to ensure that they align their research funding with the national priorities. These efforts would strengthen meaningful stakeholder engagement in health research prioritization within Zambia and other similar contexts. Background Stakeholder involvement in health research priority setting contributes to the legitimacy and acceptability of the priorities. Hence legitimate priority setting should involve a broad representation of stakeholders including the public. While there is a growing body of literature on health research prioritization in low income countries, there is a paucity of literature reporting on stakeholder involvement in the process. The objectives of this paper are to; 1) identify the stakeholders who were involved in the health research priority setting process in Zambia; 2) discuss the roles and perceived legitimacy of the stakeholders and analyze the degree to which patients/ public was involved; 3) To discuss some of the barriers to stakeholder participation in Zambia and similar contexts and to propose improvement strategies. Methods This was a qualitative study involving 28 in-depth interviews with stakeholders who had participated in the national level health research priority setting exercises in Zambia. An interview guide was used. Audio recorded interviews were transcribed and analyzed using INVIVO 10. Analysis of the Stakeholders’ theme involved identifying the different dimensions of stakeholder involvement as discussed in the interviews. Results Identified stakeholders included; research users, researchers, research funders and the community/ public. We found that health research priority setting involved research users, researchers, research funders and the community/ public. However, research funders were thought to have undue influence while the public and patients were not effectively involved. While the respondents recognized the advantages of involving the public and patients, they were not effectively involved. This could be due to the public’s limited understanding of the technicalities of priority setting, lack of resources to facilitate public involvement and limited skills to meaningfully engage the public. Participation from rural areas, women, and young professionals was also limited. Conclusions While there is a commitment to broad stakeholder involvement in health research priority setting, the public is left out. Efforts such as public education, availing more resources, and skills to meaningfully engage the public need to be explored. The undue influence of research funders should be mitigated through their direct involvement in the prioritization process and incentives to ensure that they align their research funding with the national priorities. These efforts would strengthen meaningful stakeholder engagement in health research prioritization within Zambia and other similar contexts.

Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.

Comment cette classification a été obtenuedéplier

Prédiction distillée sur la base complète

Imitation des enseignants

Ni prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.

score de la tête « metaresearch » (Codex)0,278
score de la tête « metaresearch » (Gemma)0,004
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMétarecherche
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: Observationnel
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,303
Score d'incertitude au seuil0,986

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,2780,004
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,001
Communication savante0,0000,000
Science ouverte0,0000,001
Intégrité de la recherche0,0000,001
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

Scores machine (provisoires)

Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.

Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.

Tête enseignante Opus0,718
Tête enseignante GPT0,534
Écart entre enseignants0,183 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découle

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations22
Publié2018
Routes d'admission2
Résumé présentoui

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