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The development of the Primary Care Clusters Multi-dimensional Assessment (PCCMA): a mixed-methods study

Research output: Contribution to journal › Article › peer-review

Standard Standard

The development of the Primary Care Clusters Multi-dimensional Assessment (PCCMA): a mixed-methods study. / Stanciu, Marian; Law, Rebecca-Jane; Myers, Paul et al.
In: Health Policy, Vol. 124, No. 2, 02.2020, p. 152-163.

Research output: Contribution to journal › Article › peer-review

HarvardHarvard

Stanciu, M, Law, R-J, Myers, P, Parsonage, R, Hiscock, J, Williams, N & Wilkinson, C 2020, 'The development of the Primary Care Clusters Multi-dimensional Assessment (PCCMA): a mixed-methods study', Health Policy, vol. 124, no. 2, pp. 152-163. https://doi.org/10.1016/j.healthpol.2019.12.004

APA

Stanciu, M., Law, R.-J., Myers, P., Parsonage, R., Hiscock, J., Williams, N., & Wilkinson, C. (2020). The development of the Primary Care Clusters Multi-dimensional Assessment (PCCMA): a mixed-methods study. Health Policy, 124(2), 152-163. https://doi.org/10.1016/j.healthpol.2019.12.004

CBE

Stanciu M, Law R-J, Myers P, Parsonage R, Hiscock J, Williams N, Wilkinson C. 2020. The development of the Primary Care Clusters Multi-dimensional Assessment (PCCMA): a mixed-methods study. Health Policy. 124(2):152-163. https://doi.org/10.1016/j.healthpol.2019.12.004

MLA

Stanciu, Marian et al. "The development of the Primary Care Clusters Multi-dimensional Assessment (PCCMA): a mixed-methods study". Health Policy. 2020, 124(2). 152-163. https://doi.org/10.1016/j.healthpol.2019.12.004

VancouverVancouver

Stanciu M, Law RJ, Myers P, Parsonage R, Hiscock J, Williams N et al. The development of the Primary Care Clusters Multi-dimensional Assessment (PCCMA): a mixed-methods study. Health Policy. 2020 Feb;124(2):152-163. Epub 2019 Dec 13. doi: 10.1016/j.healthpol.2019.12.004

Author

Stanciu, Marian ; Law, Rebecca-Jane ; Myers, Paul et al. / The development of the Primary Care Clusters Multi-dimensional Assessment (PCCMA): a mixed-methods study. In: Health Policy. 2020 ; Vol. 124, No. 2. pp. 152-163.

RIS

TY - JOUR

T1 - The development of the Primary Care Clusters Multi-dimensional Assessment (PCCMA): a mixed-methods study

AU - Stanciu, Marian

AU - Law, Rebecca-Jane

AU - Myers, Paul

AU - Parsonage, Rachel

AU - Hiscock, Julia

AU - Williams, Nefyn

AU - Wilkinson, Clare

PY - 2020/2

Y1 - 2020/2

N2 - A strong primary care (PC) system is essential for an efficient and high-quality healthcare service. Many countries have adopted a model of PC that encourages different healthcare providers to work together, at scale, in multidisciplinary/multiagency teams (PC clusters). The aim of the present work was to develop a quantitative instrument for the systematic and comprehensive assessment of PC clusters. This was a non-experimental, mixed-methods study grouping four work packages (WP), and involving PC cluster leads and a wide range of key stakeholders from across Wales. Interviews with 22 PC cluster leads (34 %) investigated the clusters' functioning (WP1). A systematic review identified relevant PC assessment frameworks and instruments (WP2). An expert group reviewed the evidence and drafted the new assessment tool, further evaluated and amended in two stakeholder workshops (WP3).Thirty-eight cluster leads (62 %) completed the newly developed online assessment (WP4). The final instrument consisted of 53 indicators, across 11 systemic dimensions of PC and produced a comprehensive assessment of the functioning of PC clusters in Wales. This rigorous early development of an innovative instrument to evaluate PC at a scaled-up (cluster) level (particularly in the format of a 360-degree assessment) can inform healthcare policy decisions regarding the expansion and ongoing adjustment of the model in response to local needs and challenges.

AB - A strong primary care (PC) system is essential for an efficient and high-quality healthcare service. Many countries have adopted a model of PC that encourages different healthcare providers to work together, at scale, in multidisciplinary/multiagency teams (PC clusters). The aim of the present work was to develop a quantitative instrument for the systematic and comprehensive assessment of PC clusters. This was a non-experimental, mixed-methods study grouping four work packages (WP), and involving PC cluster leads and a wide range of key stakeholders from across Wales. Interviews with 22 PC cluster leads (34 %) investigated the clusters' functioning (WP1). A systematic review identified relevant PC assessment frameworks and instruments (WP2). An expert group reviewed the evidence and drafted the new assessment tool, further evaluated and amended in two stakeholder workshops (WP3).Thirty-eight cluster leads (62 %) completed the newly developed online assessment (WP4). The final instrument consisted of 53 indicators, across 11 systemic dimensions of PC and produced a comprehensive assessment of the functioning of PC clusters in Wales. This rigorous early development of an innovative instrument to evaluate PC at a scaled-up (cluster) level (particularly in the format of a 360-degree assessment) can inform healthcare policy decisions regarding the expansion and ongoing adjustment of the model in response to local needs and challenges.

KW - Benchmarking

KW - General practice

KW - Primary care clusters

KW - Primary care networks

KW - Primary health care

KW - Quality assurance

U2 - 10.1016/j.healthpol.2019.12.004

DO - 10.1016/j.healthpol.2019.12.004

M3 - Article

VL - 124

SP - 152

EP - 163

JO - Health Policy

JF - Health Policy

SN - 0168-8510

IS - 2

ER -