Using the policy capacity framework to evaluate New Zealand’s primary health care policy implementation

Purpose This study applies the policy capacity framework (PCF) to evaluate the success or failure of the implementation of Aotearoa | New Zealand’s primary health care (PHC) policy. It identifies which ‘valued policy objectives’ (VPOs) within the policy subsystem have progressed or stagnated, through identifying the key capacity profiles associated with these objectives. Design/methodology/approach The research draws on interviews with 55 key informants in the PHC sector to gather perspectives on the progress of VPOs between 2010 and 2020. The analysis adapted the PCF, which distinguishes between macro and meso- (district) level capacities. Findings The study identifies two capacity configurations: (1) meso-level political and operational capacity were crucial for advancing sector-led PHC objectives, and (2) macro-level operational capacity was essential for addressing system-driven issues such as reducing inequities, access barriers, and accountability. Analytical capacity factors received less emphasis as drivers of progress. Originality/value Two key priorities in New Zealand’s PHC policy are the fostering of operational capacity at the national level, and collaborative political and operational capacity at the meso-level. More broadly, the analysis shows how the PCF can be used as a diagnostic tool for evaluating policy capacity strengths and weaknesses within a specific policy domain.

Authors

Institutions

Publication Details

Journal
Public Administration and Policy
Published
2026-04-15
DOI
https://doi.org/10.1108/pap-11-2024-0183
Primary Topic
Policy Transfer and Learning
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using the policy capacity framework to evaluate New Zealand’s primary health care policy implementation

Jacqueline Cumming, Tim Tenbensel, Lesley Middleton, Pushkar Silwal
Public Administration and Policy
Policy Transfer and Learning
article

Using the policy capacity framework to evaluate New Zealand’s primary health care policy implementation

Jacqueline Cumming, Tim Tenbensel, Lesley Middleton, Pushkar Silwal
article en

Abstract

Purpose This study applies the policy capacity framework (PCF) to evaluate the success or failure of the implementation of Aotearoa | New Zealand’s primary health care (PHC) policy. It identifies which ‘valued policy objectives’ (VPOs) within the policy subsystem have progressed or stagnated, through identifying the key capacity profiles associated with these objectives. Design/methodology/approach The research draws on interviews with 55 key informants in the PHC sector to gather perspectives on the progress of VPOs between 2010 and 2020. The analysis adapted the PCF, which distinguishes between macro and meso- (district) level capacities. Findings The study identifies two capacity configurations: (1) meso-level political and operational capacity were crucial for advancing sector-led PHC objectives, and (2) macro-level operational capacity was essential for addressing system-driven issues such as reducing inequities, access barriers, and accountability. Analytical capacity factors received less emphasis as drivers of progress. Originality/value Two key priorities in New Zealand’s PHC policy are the fostering of operational capacity at the national level, and collaborative political and operational capacity at the meso-level. More broadly, the analysis shows how the PCF can be used as a diagnostic tool for evaluating policy capacity strengths and weaknesses within a specific policy domain.

Public Administration and Policy
University of Auckland (NZ), Victoria University of Wellington (NZ), Victoria University (UG)
Health Research Council of New Zealand
Openalex Percentile: Top 18%
Policy Transfer and Learning
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.