Using a plant health system framework to assess plant clinic performance in Uganda

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Using a plant health system framework to assess plant clinic performance in Uganda. / Danielsen, Solveig; Matsiko, Frank B.

I: Food Security, Bind 8, Nr. 2, 2016, s. 345-359.

Publikation: Bidrag til tidsskrift › Tidsskriftartikel › Forskning › fagfællebedømt

Harvard

Danielsen, S & Matsiko, FB 2016, 'Using a plant health system framework to assess plant clinic performance in Uganda', Food Security, bind 8, nr. 2, s. 345-359. https://doi.org/10.1007/s12571-015-0546-6

APA

Danielsen, S., & Matsiko, F. B. (2016). Using a plant health system framework to assess plant clinic performance in Uganda. Food Security, 8(2), 345-359. https://doi.org/10.1007/s12571-015-0546-6

Vancouver

Danielsen S, Matsiko FB. Using a plant health system framework to assess plant clinic performance in Uganda. Food Security. 2016;8(2):345-359. https://doi.org/10.1007/s12571-015-0546-6

Author

Danielsen, Solveig ; Matsiko, Frank B. / Using a plant health system framework to assess plant clinic performance in Uganda. I: Food Security. 2016 ; Bind 8, Nr. 2. s. 345-359.

Bibtex

@article{cf35f85547cc4e5b9e729616adf5f510,
title = "Using a plant health system framework to assess plant clinic performance in Uganda",
abstract = "Systems thinking is commonly applied to understand the complexities of human healthcare delivery. In contrast, plant health systems as an organising principle have evolved more recently from work with plant clinics as providers of plant healthcare services to farmers. As plant health systems evolve and expand, new analytical frameworks and tools are needed to identify factors influencing performance of services and systems in specific contexts, and to guide interventions. In this paper we apply a plant health system framework to assess plant clinic performance, using Uganda as a case study. A comparative study of plant clinics was carried out between July 2010 and September 2011 in the 12 districts where plant clinics were operating at that time. The framework enabled us to organise multiple issues and identify key features that affected the plant clinics. Clinic performance was, among other factors, influenced by basic operational and financial concerns, inter-institutional relations and public sector policies. Overall, there was a fairly close match between the plant health system attributes and plant clinic performance, suggesting that the framework can help explain system functioning and identify intervention points and domains for strengthening plant health systems. The plant health system framework needs further testing to explore the full scope of the method, including assessing the relative importance and interactions of the system components, and tracking attributions and outcomes over time.",
author = "Solveig Danielsen and Matsiko, {Frank B.}",
year = "2016",
doi = "10.1007/s12571-015-0546-6",
language = "English",
volume = "8",
pages = "345--359",
journal = "Food Security",
issn = "1876-4517",
publisher = "Springer",
number = "2",

}

RIS

TY - JOUR

T1 - Using a plant health system framework to assess plant clinic performance in Uganda

AU - Danielsen, Solveig

AU - Matsiko, Frank B.

PY - 2016

Y1 - 2016

N2 - Systems thinking is commonly applied to understand the complexities of human healthcare delivery. In contrast, plant health systems as an organising principle have evolved more recently from work with plant clinics as providers of plant healthcare services to farmers. As plant health systems evolve and expand, new analytical frameworks and tools are needed to identify factors influencing performance of services and systems in specific contexts, and to guide interventions. In this paper we apply a plant health system framework to assess plant clinic performance, using Uganda as a case study. A comparative study of plant clinics was carried out between July 2010 and September 2011 in the 12 districts where plant clinics were operating at that time. The framework enabled us to organise multiple issues and identify key features that affected the plant clinics. Clinic performance was, among other factors, influenced by basic operational and financial concerns, inter-institutional relations and public sector policies. Overall, there was a fairly close match between the plant health system attributes and plant clinic performance, suggesting that the framework can help explain system functioning and identify intervention points and domains for strengthening plant health systems. The plant health system framework needs further testing to explore the full scope of the method, including assessing the relative importance and interactions of the system components, and tracking attributions and outcomes over time.

AB - Systems thinking is commonly applied to understand the complexities of human healthcare delivery. In contrast, plant health systems as an organising principle have evolved more recently from work with plant clinics as providers of plant healthcare services to farmers. As plant health systems evolve and expand, new analytical frameworks and tools are needed to identify factors influencing performance of services and systems in specific contexts, and to guide interventions. In this paper we apply a plant health system framework to assess plant clinic performance, using Uganda as a case study. A comparative study of plant clinics was carried out between July 2010 and September 2011 in the 12 districts where plant clinics were operating at that time. The framework enabled us to organise multiple issues and identify key features that affected the plant clinics. Clinic performance was, among other factors, influenced by basic operational and financial concerns, inter-institutional relations and public sector policies. Overall, there was a fairly close match between the plant health system attributes and plant clinic performance, suggesting that the framework can help explain system functioning and identify intervention points and domains for strengthening plant health systems. The plant health system framework needs further testing to explore the full scope of the method, including assessing the relative importance and interactions of the system components, and tracking attributions and outcomes over time.

U2 - 10.1007/s12571-015-0546-6

DO - 10.1007/s12571-015-0546-6

M3 - Journal article

VL - 8

SP - 345

EP - 359

JO - Food Security

JF - Food Security

SN - 1876-4517

IS - 2

ER -

ID: 161217195