Factors influencing the integration of evidence-based task-strengthening strategies for hypertension control within HIV clinics in Nigeria.

HIV clinics Hypertension control Implementation Climate Nigeria

Journal

Implementation science communications
ISSN: 2662-2211
Titre abrégé: Implement Sci Commun
Pays: England
ID NLM: 101764360

Informations de publication

Date de publication:
15 Apr 2022
Historique:
received: 18 03 2021
accepted: 23 03 2022
entrez: 16 4 2022
pubmed: 17 4 2022
medline: 17 4 2022
Statut: epublish

Résumé

Evidence-based task-strengthening strategies for hypertension (HTN) control (TASSH) are not readily available for patients living with HIV in sub-Saharan Africa where the dual burden of HTN and HIV remains high. We are conducting a cluster randomized controlled trial comparing the effectiveness of practice facilitation versus a self-directed control (i.e., receipt of TASSH with no practice facilitation) in reducing blood pressure and increasing the adoption of task-strengthening strategies for HTN control within HIV clinics in Nigeria. Prior to implementing the trial, we conducted formative research to identify factors that may influence the integration of TASSH within HIV clinics in Nigeria. This mixed-methods study was conducted with purposively selected healthcare providers at 29 HIV clinics, followed by a 1-day stakeholder meeting with 19 representatives of HIV clinics. We collected quantitative practice assessment data using two instruments: (a) an adapted Service Availability and Readiness Assessment (SARA) tool to assess the capacity of the clinic to manage NCDs and (b) Implementation Climate Scale to assess the degree to which there is a strategic organizational climate supportive of the evidence-based practice implementation. The quantitative data were analyzed using descriptive statistics and measures of scale reliability. We also used the Consolidated Framework for Implementation Research (CFIR), to thematically analyze qualitative data generated and relevant to the aims of this study. Across the 29 clinics surveyed, the focus on TASSH (mean=1.77 (SD=0.59)) and educational support (mean=1.32 (SD=0.68)) subscales demonstrated the highest mean score, with good-excellent internal consistency reliability (Cronbach's alphas ranging from 0.84 to 0.96). Within the five CFIR domains explored, the major facilitators of the intervention included relative advantage of TASSH compared to current practice, compatibility with clinic organizational structures, support of patients' needs, and intervention alignment with national guidelines. Barriers included the perceived complexity of TASSH, weak referral network and patient tracking mechanism within the clinics, and limited resources and diagnostic equipment for HTN. Optimizing healthcare workers' implementation of evidence-based TASSH within HIV clinics requires attention to both the implementation climate and contextual factors likely to influence adoption and long-term sustainability. These findings have implications for the development of effective practice facilitation strategies to further improve the delivery and integration of TASSH within HIV clinics in Nigeria. ClinicalTrials.gov , NCT04704336.

Sections du résumé

BACKGROUND BACKGROUND
Evidence-based task-strengthening strategies for hypertension (HTN) control (TASSH) are not readily available for patients living with HIV in sub-Saharan Africa where the dual burden of HTN and HIV remains high. We are conducting a cluster randomized controlled trial comparing the effectiveness of practice facilitation versus a self-directed control (i.e., receipt of TASSH with no practice facilitation) in reducing blood pressure and increasing the adoption of task-strengthening strategies for HTN control within HIV clinics in Nigeria. Prior to implementing the trial, we conducted formative research to identify factors that may influence the integration of TASSH within HIV clinics in Nigeria.
METHODS METHODS
This mixed-methods study was conducted with purposively selected healthcare providers at 29 HIV clinics, followed by a 1-day stakeholder meeting with 19 representatives of HIV clinics. We collected quantitative practice assessment data using two instruments: (a) an adapted Service Availability and Readiness Assessment (SARA) tool to assess the capacity of the clinic to manage NCDs and (b) Implementation Climate Scale to assess the degree to which there is a strategic organizational climate supportive of the evidence-based practice implementation. The quantitative data were analyzed using descriptive statistics and measures of scale reliability. We also used the Consolidated Framework for Implementation Research (CFIR), to thematically analyze qualitative data generated and relevant to the aims of this study.
RESULTS RESULTS
Across the 29 clinics surveyed, the focus on TASSH (mean=1.77 (SD=0.59)) and educational support (mean=1.32 (SD=0.68)) subscales demonstrated the highest mean score, with good-excellent internal consistency reliability (Cronbach's alphas ranging from 0.84 to 0.96). Within the five CFIR domains explored, the major facilitators of the intervention included relative advantage of TASSH compared to current practice, compatibility with clinic organizational structures, support of patients' needs, and intervention alignment with national guidelines. Barriers included the perceived complexity of TASSH, weak referral network and patient tracking mechanism within the clinics, and limited resources and diagnostic equipment for HTN.
CONCLUSION CONCLUSIONS
Optimizing healthcare workers' implementation of evidence-based TASSH within HIV clinics requires attention to both the implementation climate and contextual factors likely to influence adoption and long-term sustainability. These findings have implications for the development of effective practice facilitation strategies to further improve the delivery and integration of TASSH within HIV clinics in Nigeria.
TRIAL REGISTRATION BACKGROUND
ClinicalTrials.gov , NCT04704336.

Identifiants

pubmed: 35428342
doi: 10.1186/s43058-022-00289-z
pii: 10.1186/s43058-022-00289-z
pmc: PMC9013085
doi:

Banques de données

ClinicalTrials.gov
['NCT04704336']

Types de publication

Journal Article

Langues

eng

Pagination

43

Subventions

Organisme : NHLBI NIH HHS
ID : R01 HL147811
Pays : United States
Organisme : NIH HHS
ID : R01HL147811
Pays : United States

Informations de copyright

© 2022. The Author(s).

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Auteurs

Juliet Iwelunmor (J)

College for Public Health and Social Justice, Saint Louis University, 3545 Lafayette Avenue, St. Louis, MO, 63104, USA. Juliet.iwelunmor@slu.edu.

Oliver Ezechi (O)

Nigerian Institute of Medical Research, Lagos, Nigeria.

Chisom Obiezu-Umeh (C)

College for Public Health and Social Justice, Saint Louis University, 3545 Lafayette Avenue, St. Louis, MO, 63104, USA.

David Oladele (D)

College for Public Health and Social Justice, Saint Louis University, 3545 Lafayette Avenue, St. Louis, MO, 63104, USA.
Nigerian Institute of Medical Research, Lagos, Nigeria.

Ucheoma Nwaozuru (U)

College for Public Health and Social Justice, Saint Louis University, 3545 Lafayette Avenue, St. Louis, MO, 63104, USA.

Angela Aifah (A)

Department of Population Health|, New York University School of Medicine, New York, NY, USA.

Joyce Gyamfi (J)

Department of Population Health|, New York University School of Medicine, New York, NY, USA.

Titilola Gbajabiamila (T)

Nigerian Institute of Medical Research, Lagos, Nigeria.

Adesola Z Musa (AZ)

Nigerian Institute of Medical Research, Lagos, Nigeria.

Deborah Onakomaiya (D)

Department of Population Health|, New York University School of Medicine, New York, NY, USA.

Ashlin Rakhra (A)

Department of Population Health|, New York University School of Medicine, New York, NY, USA.

Hu Jiyuan (H)

Department of Population Health|, New York University School of Medicine, New York, NY, USA.

Oluwatosin Odubela (O)

Nigerian Institute of Medical Research, Lagos, Nigeria.

Ifeoma Idigbe (I)

Nigerian Institute of Medical Research, Lagos, Nigeria.

Alexis Engelhart (A)

College for Public Health and Social Justice, Saint Louis University, 3545 Lafayette Avenue, St. Louis, MO, 63104, USA.

Bamidele O Tayo (BO)

Department of Preventive Medicine and Epidemiology, Loyola University Chicago, Stritch School of Medicine, Maywood, IL, USA.

Gbenga Ogedegbe (G)

Department of Population Health|, New York University School of Medicine, New York, NY, USA.

Classifications MeSH