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 system...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Danielsen, Solveig [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2016 |
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| Schlagwörter: |
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| Anmerkung: |
© The Author(s) 2016 |
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| Übergeordnetes Werk: |
Enthalten in: Food security - Dordrecht [u.a.] : Springer Netherlands, 2009, 8(2016), 2 vom: 20. Jan., Seite 345-359 |
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| Übergeordnetes Werk: |
volume:8 ; year:2016 ; number:2 ; day:20 ; month:01 ; pages:345-359 |
| Links: |
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| DOI / URN: |
10.1007/s12571-015-0546-6 |
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| Katalog-ID: |
SPR026149389 |
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| 520 | |a 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. | ||
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10.1007/s12571-015-0546-6 doi (DE-627)SPR026149389 (SPR)s12571-015-0546-6-e DE-627 ger DE-627 rakwb eng Danielsen, Solveig verfasserin aut Using a plant health system framework to assess plant clinic performance in Uganda 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2016 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. Uganda (dpeaa)DE-He213 Plant health system framework (dpeaa)DE-He213 Plant clinics (dpeaa)DE-He213 Performance assessment (dpeaa)DE-He213 Plant health (dpeaa)DE-He213 Agricultural extension (dpeaa)DE-He213 Matsiko, Frank B. aut Enthalten in Food security Dordrecht [u.a.] : Springer Netherlands, 2009 8(2016), 2 vom: 20. Jan., Seite 345-359 (DE-627)595710026 (DE-600)2486755-X 1876-4525 nnns volume:8 year:2016 number:2 day:20 month:01 pages:345-359 https://dx.doi.org/10.1007/s12571-015-0546-6 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 8 2016 2 20 01 345-359 |
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10.1007/s12571-015-0546-6 doi (DE-627)SPR026149389 (SPR)s12571-015-0546-6-e DE-627 ger DE-627 rakwb eng Danielsen, Solveig verfasserin aut Using a plant health system framework to assess plant clinic performance in Uganda 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2016 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. Uganda (dpeaa)DE-He213 Plant health system framework (dpeaa)DE-He213 Plant clinics (dpeaa)DE-He213 Performance assessment (dpeaa)DE-He213 Plant health (dpeaa)DE-He213 Agricultural extension (dpeaa)DE-He213 Matsiko, Frank B. aut Enthalten in Food security Dordrecht [u.a.] : Springer Netherlands, 2009 8(2016), 2 vom: 20. Jan., Seite 345-359 (DE-627)595710026 (DE-600)2486755-X 1876-4525 nnns volume:8 year:2016 number:2 day:20 month:01 pages:345-359 https://dx.doi.org/10.1007/s12571-015-0546-6 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 8 2016 2 20 01 345-359 |
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10.1007/s12571-015-0546-6 doi (DE-627)SPR026149389 (SPR)s12571-015-0546-6-e DE-627 ger DE-627 rakwb eng Danielsen, Solveig verfasserin aut Using a plant health system framework to assess plant clinic performance in Uganda 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2016 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. Uganda (dpeaa)DE-He213 Plant health system framework (dpeaa)DE-He213 Plant clinics (dpeaa)DE-He213 Performance assessment (dpeaa)DE-He213 Plant health (dpeaa)DE-He213 Agricultural extension (dpeaa)DE-He213 Matsiko, Frank B. aut Enthalten in Food security Dordrecht [u.a.] : Springer Netherlands, 2009 8(2016), 2 vom: 20. Jan., Seite 345-359 (DE-627)595710026 (DE-600)2486755-X 1876-4525 nnns volume:8 year:2016 number:2 day:20 month:01 pages:345-359 https://dx.doi.org/10.1007/s12571-015-0546-6 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 8 2016 2 20 01 345-359 |
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10.1007/s12571-015-0546-6 doi (DE-627)SPR026149389 (SPR)s12571-015-0546-6-e DE-627 ger DE-627 rakwb eng Danielsen, Solveig verfasserin aut Using a plant health system framework to assess plant clinic performance in Uganda 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2016 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. Uganda (dpeaa)DE-He213 Plant health system framework (dpeaa)DE-He213 Plant clinics (dpeaa)DE-He213 Performance assessment (dpeaa)DE-He213 Plant health (dpeaa)DE-He213 Agricultural extension (dpeaa)DE-He213 Matsiko, Frank B. aut Enthalten in Food security Dordrecht [u.a.] : Springer Netherlands, 2009 8(2016), 2 vom: 20. Jan., Seite 345-359 (DE-627)595710026 (DE-600)2486755-X 1876-4525 nnns volume:8 year:2016 number:2 day:20 month:01 pages:345-359 https://dx.doi.org/10.1007/s12571-015-0546-6 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 8 2016 2 20 01 345-359 |
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10.1007/s12571-015-0546-6 doi (DE-627)SPR026149389 (SPR)s12571-015-0546-6-e DE-627 ger DE-627 rakwb eng Danielsen, Solveig verfasserin aut Using a plant health system framework to assess plant clinic performance in Uganda 2016 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s) 2016 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. Uganda (dpeaa)DE-He213 Plant health system framework (dpeaa)DE-He213 Plant clinics (dpeaa)DE-He213 Performance assessment (dpeaa)DE-He213 Plant health (dpeaa)DE-He213 Agricultural extension (dpeaa)DE-He213 Matsiko, Frank B. aut Enthalten in Food security Dordrecht [u.a.] : Springer Netherlands, 2009 8(2016), 2 vom: 20. Jan., Seite 345-359 (DE-627)595710026 (DE-600)2486755-X 1876-4525 nnns volume:8 year:2016 number:2 day:20 month:01 pages:345-359 https://dx.doi.org/10.1007/s12571-015-0546-6 kostenfrei Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER SSG-OLC-PHA GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2070 GBV_ILN_2086 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2116 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 8 2016 2 20 01 345-359 |
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Danielsen, Solveig |
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Danielsen, Solveig misc Uganda misc Plant health system framework misc Plant clinics misc Performance assessment misc Plant health misc Agricultural extension 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 Uganda (dpeaa)DE-He213 Plant health system framework (dpeaa)DE-He213 Plant clinics (dpeaa)DE-He213 Performance assessment (dpeaa)DE-He213 Plant health (dpeaa)DE-He213 Agricultural extension (dpeaa)DE-He213 |
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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 |
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Using a plant health system framework to assess plant clinic performance in Uganda |
| abstract |
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. © The Author(s) 2016 |
| abstractGer |
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. © The Author(s) 2016 |
| abstract_unstemmed |
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. © The Author(s) 2016 |
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| title_short |
Using a plant health system framework to assess plant clinic performance in Uganda |
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https://dx.doi.org/10.1007/s12571-015-0546-6 |
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Matsiko, Frank B. |
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Matsiko, Frank B. |
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| doi_str |
10.1007/s12571-015-0546-6 |
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2024-07-03T19:09:19.899Z |
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| score |
7.398777 |