Evaluating the Preliminary Effectiveness of the Person-Centered Care Assessment Tool (PCC-AT) in Zambian Health Facilities: Protocol for a Mixed Methods Cross-Sectional Study.

HIV HIV treatment PCC-AT Zambia action plans assessment tool exploratory study framework health facility health services inequities person-centered care person-centered care assessment tool practitioners preliminary

Journal

JMIR research protocols
ISSN: 1929-0748
Titre abrégé: JMIR Res Protoc
Pays: Canada
ID NLM: 101599504

Informations de publication

Date de publication:
23 Jul 2024
Historique:
received: 30 10 2023
accepted: 10 06 2024
revised: 16 05 2024
medline: 23 7 2024
pubmed: 23 7 2024
entrez: 23 7 2024
Statut: epublish

Résumé

Person-centered care (PCC) within HIV treatment services has demonstrated potential to overcome inequities in HIV service access while improving treatment outcomes. Despite PCC being widely considered a best practice, no consensus exists on its assessment and measurement. This study in Zambia builds upon previous research that informed development of a framework for PCC and a PCC assessment tool (PCC-AT). This mixed methods study aims to examine the preliminary effectiveness of the PCC-AT through assessing the association between client HIV service delivery indicators and facility PCC-AT scores. We hypothesize that facilities with higher PCC-AT scores will demonstrate more favorable HIV treatment continuity, viral load (VL) coverage, and viral suppression in comparison to those of facilities with lower PCC-AT scores. We will implement the PCC-AT at 30 randomly selected health facilities in the Copperbelt and Central provinces of Zambia. For each study facility, data will be gathered from 3 sources: (1) PCC-AT scores, (2) PCC-AT action plans, and (3) facility characteristics, along with service delivery data. Quantitative analysis, using STATA, will include descriptive statistics on the PCC-AT results stratified by facility characteristics. Cross-tabulations and/or regression analysis will be used to determine associations between scores and treatment continuity, VL coverage, and/or viral suppression. Qualitative data will be collected via action planning, with detailed notes collected and recorded into an action plan template. Descriptive coding and emerging themes will be analyzed with NVivo software. As of May 2024, we enrolled 29 facilities in the study and data analysis from the key informant interviews is currently underway. Results are expected to be published by September 2024. Assessment and measurement of PCC within HIV treatment settings is a novel approach that offers HIV treatment practitioners the opportunity to examine their services and identify actions to improve PCC performance. Study results and the PCC-AT will be broadly disseminated for use among all project sites in Zambia as well as other HIV treatment programs, in addition to making the PCC-AT publicly available to global HIV practitioners. DERR1-10.2196/54129.

Sections du résumé

BACKGROUND BACKGROUND
Person-centered care (PCC) within HIV treatment services has demonstrated potential to overcome inequities in HIV service access while improving treatment outcomes. Despite PCC being widely considered a best practice, no consensus exists on its assessment and measurement. This study in Zambia builds upon previous research that informed development of a framework for PCC and a PCC assessment tool (PCC-AT).
OBJECTIVE OBJECTIVE
This mixed methods study aims to examine the preliminary effectiveness of the PCC-AT through assessing the association between client HIV service delivery indicators and facility PCC-AT scores. We hypothesize that facilities with higher PCC-AT scores will demonstrate more favorable HIV treatment continuity, viral load (VL) coverage, and viral suppression in comparison to those of facilities with lower PCC-AT scores.
METHODS METHODS
We will implement the PCC-AT at 30 randomly selected health facilities in the Copperbelt and Central provinces of Zambia. For each study facility, data will be gathered from 3 sources: (1) PCC-AT scores, (2) PCC-AT action plans, and (3) facility characteristics, along with service delivery data. Quantitative analysis, using STATA, will include descriptive statistics on the PCC-AT results stratified by facility characteristics. Cross-tabulations and/or regression analysis will be used to determine associations between scores and treatment continuity, VL coverage, and/or viral suppression. Qualitative data will be collected via action planning, with detailed notes collected and recorded into an action plan template. Descriptive coding and emerging themes will be analyzed with NVivo software.
RESULTS RESULTS
As of May 2024, we enrolled 29 facilities in the study and data analysis from the key informant interviews is currently underway. Results are expected to be published by September 2024.
CONCLUSIONS CONCLUSIONS
Assessment and measurement of PCC within HIV treatment settings is a novel approach that offers HIV treatment practitioners the opportunity to examine their services and identify actions to improve PCC performance. Study results and the PCC-AT will be broadly disseminated for use among all project sites in Zambia as well as other HIV treatment programs, in addition to making the PCC-AT publicly available to global HIV practitioners.
INTERNATIONAL REGISTERED REPORT IDENTIFIER (IRRID) UNASSIGNED
DERR1-10.2196/54129.

Identifiants

pubmed: 39042423
pii: v13i1e54129
doi: 10.2196/54129
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e54129

Informations de copyright

©Jessica Posner, Adamson Paxon Ndhlovu, Jemmy Mushinka Musangulule, Malia Duffy, Amy Casella, Caitlin Madevu-Matson, Nicole Davis, Melissa Sharer. Originally published in JMIR Research Protocols (https://www.researchprotocols.org), 23.07.2024.

Auteurs

Jessica Posner (J)

International Division, JSI, Arlington, VA, United States.

Adamson Paxon Ndhlovu (AP)

International Division, JSI, Arlington, VA, United States.

Jemmy Mushinka Musangulule (JM)

International Division, JSI, Arlington, VA, United States.

Malia Duffy (M)

Health Across Humanity, LLC, Boston, MA, United States.
Department of Public Health, St. Ambrose University, Davenport, IA, United States.

Amy Casella (A)

International Division, JSI, Arlington, VA, United States.

Caitlin Madevu-Matson (C)

International Division, JSI, Arlington, VA, United States.

Nicole Davis (N)

International Division, JSI, Arlington, VA, United States.

Melissa Sharer (M)

International Division, JSI, Arlington, VA, United States.
Department of Public Health, St. Ambrose University, Davenport, IA, United States.

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