Indicators for local health plan monitoring and evaluation: A modified Delphi consensus

Autores da FMUP

• João Vasco Nunes Dos Santos

  Autor

• Andreia Cristina Matos Oliveira

  Autor

Participantes de fora da FMUP

• Martins, FS
• Vidal-Castro, J
• Silva-Rocha, S
• Areias, R
• Santos, S
• Lamelas, C
• Amorim, H
• Martins, A
• Vieira, M
• Ramos, JP
• Pinto, M

Unidades de investigação

• Ciências da Saúde Pública e Forenses, e Educação Médica

• Laboratório Associado RISE- Rede de Investigação em Saúde

  

  Investigador

  Fernando Carlos De Landér Schmitt

• Medicina da Comunidade, Informação e Decisão em Saúde

• RISE-Health

  

  Investigador

  Fernando Carlos De Landér Schmitt

Abstract

Objective There is still a lack of health indicators for monitoring and evaluating health planning at the local level. In Portugal, local health plans (LHP) include a prioritized set of health priorities, which should be monitored and evaluated. This study is an example of a low-resource method to identify and reuse indicators for LHP monitoring and evaluation already collected for other purposes. Design and sample A modified Delphi consensus method was applied, with three rounds of email rating questionnaires and a final meeting, between January 2018 and January 2019. The Delphi panel consisted of eight members from the Planning and Administration Group of the Espinho/Gaia Local Public Health Unit. Measurements Panelists were asked to assess the indicators' validity for monitoring diseases/determinants from a pre-selected list of potential binomials between 140 PHC indicators and 15 diseases/determinants. Results After four rounds, there was consensus in considering 141 binomials (34.0%) as appropriate, diabetes mellitus being the disease with more appropriate indicators. Conclusion This study portrays the applicability of a commonly used, easy and low-resource method in a Portuguese Local Public Health Unit to select and reuse primary health care indicators for LHP monitoring and evaluation.

Keywords

• consensus; Delphi technique; health planning; public health; qualitative research