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Determinants of translating routine health information system data into action in Mozambique: a qualitative study.
Kawakyu, Nami; Inguane, Celso; Fernandes, Quinhas; Gremu, Artur; Floriano, Florencia; Manaca, Nelia; Ramiro, Isaías; Felimone, Priscilla; Alfandega, Jeremias Armindo Azevedo; Isidor, Xavier Alcides; Missage, Santana Mário; Wagenaar, Bradley H; Sherr, Kenneth; Gimbel, Sarah.
Afiliación
  • Kawakyu N; Department of Global Health, University of Washington, Seattle, Washington, USA nkawakyu@uw.edu.
  • Inguane C; Department of Child, Family, & Population Health Nursing, University of Washington, Seattle, Washington, USA.
  • Fernandes Q; Department of Global Health, University of Washington, Seattle, Washington, USA.
  • Gremu A; Department of Global Health, University of Washington, Seattle, Washington, USA.
  • Floriano F; National Directorate of Public Health, Ministry of Health, Maputo City, Mozambique.
  • Manaca N; Comité para Saúde de Moçambique, Chimoio, Mozambique.
  • Ramiro I; Comité para Saúde de Moçambique, Beira, Mozambique.
  • Felimone P; Comité para Saúde de Moçambique, Beira, Mozambique.
  • Alfandega JAA; Comité para Saúde de Moçambique, Beira, Mozambique.
  • Isidor XA; Serviços Provincias de Saúde, Sofala, Mozambique.
  • Missage SM; Serviços Distritais de Saúde, Mulher e Acção Social, Sofala, Mozambique.
  • Wagenaar BH; Serviços Provincias de Saúde, Manica, Mozambique.
  • Sherr K; Serviços Distritais de Saúde, Mulher e Acção Social, Manica, Mozambique.
  • Gimbel S; Department of Global Health, University of Washington, Seattle, Washington, USA.
BMJ Glob Health ; 9(8)2024 Aug 16.
Article en En | MEDLINE | ID: mdl-39153750
ABSTRACT

INTRODUCTION:

Routine health information systems (RHISs) are an essential source of data to inform decisions and actions around health facility performance, but RHIS data use is often limited in low and middle-income country contexts. Determinants that influence RHIS data-informed decisions and actions are not well understood, and few studies have explored the relationship between RHIS data-informed decisions and actions.

METHODS:

This qualitative thematic analysis study explored the determinants and characteristics of successful RHIS data-informed actions at the health facility level in Mozambique and which determinants were influenced by the Integrated District Evidence to Action (IDEAs) strategy. Two rounds of qualitative data were collected in 2019 and 2020 through 27 in-depth interviews and 7 focus group discussions with provincial, district and health facility-level managers and frontline health workers who participated in the IDEAs enhanced audit and feedback strategy. The Performance of Routine Information System Management-Act framework guided the development of the data collection tools and thematic analysis.

RESULTS:

Key behavioural determinants of translating RHIS data into action included health worker understanding and awareness of health facility performance indicators coupled with health worker sense of ownership and responsibility to improve health facility performance. Supervision, on-the-job support and availability of financial and human resources were highlighted as essential organisational determinants in the development and implementation of action plans. The forum to regularly meet as a group to review, discuss and monitor health facility performance was emphasised as a critical determinant by study participants.

CONCLUSION:

Future data-to-action interventions and research should consider contextually feasible ways to support health facility and district managers to hold regular meetings to review, discuss and monitor health facility performance as a way to promote translation of RHIS data to action.
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Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Investigación Cualitativa / Sistemas de Información en Salud Límite: Humans País/Región como asunto: Africa Idioma: En Revista: BMJ Glob Health Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Asunto principal: Investigación Cualitativa / Sistemas de Información en Salud Límite: Humans País/Región como asunto: Africa Idioma: En Revista: BMJ Glob Health Año: 2024 Tipo del documento: Article País de afiliación: Estados Unidos