Mixed and multi-methods protocol to evaluate implementation processes and early effects of the Pradhan Mantri Jan Arogya Yojana scheme in seven Indian states
In September 2018, India launched Pradhan Mantri Jan Arogya Yojana (PM-JAY), a nationally implemented government-funded health insurance scheme to improve access to quality inpatient care, increase financial protection, and reduce unmet need for the most vulnerable population groups. This protocol d...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
De Allegri, Manuela - 1975- [verfasserIn] Srivastava, Swati [verfasserIn] Strupat, Christoph - 1983- [verfasserIn] Brenner, Stephan - 1976- [verfasserIn] Parmar, Divya - 1981- [verfasserIn] Parisi, Diletta [verfasserIn] Walsh, Caitlin [verfasserIn] Mahajan, Sahil [verfasserIn] Neogi, Rupak [verfasserIn] Ziegler, Susanne [verfasserIn] Basu, Sharmishtha [verfasserIn] Jain, Nishant [verfasserIn] |
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| Format: |
E-Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
26 October 2020 |
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| Schlagwörter: |
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| Anmerkung: |
Gesehen am 12.01.2021 |
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| Umfang: |
15 |
| Übergeordnetes Werk: |
Enthalten in: International journal of environmental research and public health - Basel : MDPI AG, 2004, 17(2020,21) Artikel-Nummer 7812, 15 Seiten |
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| Übergeordnetes Werk: |
volume:17 ; year:2020 ; number:21 ; extent:15 |
| Links: |
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| DOI / URN: |
10.3390/ijerph17217812 |
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| Katalog-ID: |
1744412685 |
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| 520 | |a In September 2018, India launched Pradhan Mantri Jan Arogya Yojana (PM-JAY), a nationally implemented government-funded health insurance scheme to improve access to quality inpatient care, increase financial protection, and reduce unmet need for the most vulnerable population groups. This protocol describes the methodology adopted to evaluate implementation processes and early effects of PM-JAY in seven Indian states. The study adopts a mixed and multi-methods concurrent triangulation design including three components: 1. demand-side household study, including a structured survey and qualitative elements, to quantify and understand PM-JAY reach and its effect on insurance awareness, health service utilization, and financial protection; 2. supply-side hospital-based survey encompassing both quantitative and qualitative elements to assess the effect of PM-JAY on quality of service delivery and to explore healthcare providers’ experiences with scheme implementation; and 3. process documentation to examine implementation processes in selected states transitioning from either no or prior health insurance to PM-JAY. Descriptive statistics and quasi-experimental methods will be used to analyze quantitative data, while thematic analysis will be used to analyze qualitative data. The study design presented represents the first effort to jointly evaluate implementation processes and early effects of the largest government-funded health insurance scheme ever launched in India. | ||
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10.3390/ijerph17217812 doi (DE-627)1744412685 (DE-599)KXP1744412685 (OCoLC)1341384969 DE-627 ger DE-627 rda eng De Allegri, Manuela 1975- verfasserin (DE-588)131974904 (DE-627)516328913 (DE-576)298870975 aut Mixed and multi-methods protocol to evaluate implementation processes and early effects of the Pradhan Mantri Jan Arogya Yojana scheme in seven Indian states Manuela De Allegri, Swati Srivastava, Christoph Strupat, Stephan Brenner, Divya Parmar, Diletta Parisi, Caitlin Walsh, Sahil Mahajan, Rupak Neogi, Susanne Ziegler, Sharmishtha Basu and Nishant Jain 26 October 2020 15 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gesehen am 12.01.2021 In September 2018, India launched Pradhan Mantri Jan Arogya Yojana (PM-JAY), a nationally implemented government-funded health insurance scheme to improve access to quality inpatient care, increase financial protection, and reduce unmet need for the most vulnerable population groups. This protocol describes the methodology adopted to evaluate implementation processes and early effects of PM-JAY in seven Indian states. The study adopts a mixed and multi-methods concurrent triangulation design including three components: 1. demand-side household study, including a structured survey and qualitative elements, to quantify and understand PM-JAY reach and its effect on insurance awareness, health service utilization, and financial protection; 2. supply-side hospital-based survey encompassing both quantitative and qualitative elements to assess the effect of PM-JAY on quality of service delivery and to explore healthcare providers’ experiences with scheme implementation; and 3. process documentation to examine implementation processes in selected states transitioning from either no or prior health insurance to PM-JAY. Descriptive statistics and quasi-experimental methods will be used to analyze quantitative data, while thematic analysis will be used to analyze qualitative data. The study design presented represents the first effort to jointly evaluate implementation processes and early effects of the largest government-funded health insurance scheme ever launched in India. demand-side health financing health insurance impact assessment India process evaluation supply-side Srivastava, Swati verfasserin (DE-588)1206696214 (DE-627)1692964577 aut Strupat, Christoph 1983- verfasserin (DE-588)1018098941 (DE-627)690514352 (DE-576)354985086 aut Brenner, Stephan 1976- verfasserin (DE-588)136445217 (DE-627)583292666 (DE-576)286813602 aut Parmar, Divya 1981- verfasserin (DE-588)1027312020 (DE-627)728886049 (DE-576)372845681 aut Parisi, Diletta verfasserin (DE-588)1224904893 (DE-627)1744398836 aut Walsh, Caitlin verfasserin (DE-588)1224909135 (DE-627)1744411123 aut Mahajan, Sahil verfasserin aut Neogi, Rupak verfasserin aut Ziegler, Susanne verfasserin (DE-588)1309395691 (DE-627)1870061519 aut Basu, Sharmishtha verfasserin aut Jain, Nishant verfasserin aut Enthalten in International journal of environmental research and public health Basel : MDPI AG, 2004 17(2020,21) Artikel-Nummer 7812, 15 Seiten Online-Ressource (DE-627)477992463 (DE-600)2175195-X (DE-576)307642224 1660-4601 nnns volume:17 year:2020 number:21 extent:15 https://doi.org/10.3390/ijerph17217812 Verlag Resolving-System lizenzpflichtig Volltext https://www.mdpi.com/1660-4601/17/21/7812 Verlag lizenzpflichtig Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2020 21 15 17(2020,21) Artikel-Nummer 7812, 15 Seiten 2013 01 DE-16-250 3834525723 00 --%%-- --%%-- --%%-- --%%-- l01 12-01-21 2013 01 DE-16-250 00 s hd2020 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_12 2013 01 DE-16-250 03 s s_15 2013 01 DE-16-250 04 p (DE-627)1480578088 De Allegri, Manuela 2013 01 DE-16-250 04 k (DE-627)1493871218 Institut für Public Health (IPH) 2013 01 DE-16-250 04 k (DE-627)1416466967 Medizinische Fakultät Heidelberg 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_1 2013 01 DE-16-250 05 p (DE-627)169296500X Srivastava, Swati 2013 01 DE-16-250 05 k (DE-627)1416822720 Extern 2013 01 DE-16-250 05 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 05 s pos_2 2013 01 DE-16-250 06 p (DE-627)1486049052 Brenner, Stephan 2013 01 DE-16-250 06 k (DE-627)1493871218 Institut für Public Health (IPH) 2013 01 DE-16-250 06 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 06 s pos_4 2013 01 DE-16-250 07 p (DE-627)1744399212 Parisi, Diletta 2013 01 DE-16-250 07 k (DE-627)1495544966 Zentrum für Infektiologie 2013 01 DE-16-250 07 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 07 s pos_6 2013 01 DE-16-250 08 p (DE-627)1744411670 Walsh, Caitlin 2013 01 DE-16-250 08 k (DE-627)1416822720 Extern 2013 01 DE-16-250 08 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 08 s pos_7 2013 01 DE-16-250 09 p (DE-627)1870061551 Ziegler, Susanne 2013 01 DE-16-250 09 k (DE-627)1416466967 Medizinische Fakultät Heidelberg 2013 01 DE-16-250 09 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 09 s pos_10 |
| spelling |
10.3390/ijerph17217812 doi (DE-627)1744412685 (DE-599)KXP1744412685 (OCoLC)1341384969 DE-627 ger DE-627 rda eng De Allegri, Manuela 1975- verfasserin (DE-588)131974904 (DE-627)516328913 (DE-576)298870975 aut Mixed and multi-methods protocol to evaluate implementation processes and early effects of the Pradhan Mantri Jan Arogya Yojana scheme in seven Indian states Manuela De Allegri, Swati Srivastava, Christoph Strupat, Stephan Brenner, Divya Parmar, Diletta Parisi, Caitlin Walsh, Sahil Mahajan, Rupak Neogi, Susanne Ziegler, Sharmishtha Basu and Nishant Jain 26 October 2020 15 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gesehen am 12.01.2021 In September 2018, India launched Pradhan Mantri Jan Arogya Yojana (PM-JAY), a nationally implemented government-funded health insurance scheme to improve access to quality inpatient care, increase financial protection, and reduce unmet need for the most vulnerable population groups. This protocol describes the methodology adopted to evaluate implementation processes and early effects of PM-JAY in seven Indian states. The study adopts a mixed and multi-methods concurrent triangulation design including three components: 1. demand-side household study, including a structured survey and qualitative elements, to quantify and understand PM-JAY reach and its effect on insurance awareness, health service utilization, and financial protection; 2. supply-side hospital-based survey encompassing both quantitative and qualitative elements to assess the effect of PM-JAY on quality of service delivery and to explore healthcare providers’ experiences with scheme implementation; and 3. process documentation to examine implementation processes in selected states transitioning from either no or prior health insurance to PM-JAY. Descriptive statistics and quasi-experimental methods will be used to analyze quantitative data, while thematic analysis will be used to analyze qualitative data. The study design presented represents the first effort to jointly evaluate implementation processes and early effects of the largest government-funded health insurance scheme ever launched in India. demand-side health financing health insurance impact assessment India process evaluation supply-side Srivastava, Swati verfasserin (DE-588)1206696214 (DE-627)1692964577 aut Strupat, Christoph 1983- verfasserin (DE-588)1018098941 (DE-627)690514352 (DE-576)354985086 aut Brenner, Stephan 1976- verfasserin (DE-588)136445217 (DE-627)583292666 (DE-576)286813602 aut Parmar, Divya 1981- verfasserin (DE-588)1027312020 (DE-627)728886049 (DE-576)372845681 aut Parisi, Diletta verfasserin (DE-588)1224904893 (DE-627)1744398836 aut Walsh, Caitlin verfasserin (DE-588)1224909135 (DE-627)1744411123 aut Mahajan, Sahil verfasserin aut Neogi, Rupak verfasserin aut Ziegler, Susanne verfasserin (DE-588)1309395691 (DE-627)1870061519 aut Basu, Sharmishtha verfasserin aut Jain, Nishant verfasserin aut Enthalten in International journal of environmental research and public health Basel : MDPI AG, 2004 17(2020,21) Artikel-Nummer 7812, 15 Seiten Online-Ressource (DE-627)477992463 (DE-600)2175195-X (DE-576)307642224 1660-4601 nnns volume:17 year:2020 number:21 extent:15 https://doi.org/10.3390/ijerph17217812 Verlag Resolving-System lizenzpflichtig Volltext https://www.mdpi.com/1660-4601/17/21/7812 Verlag lizenzpflichtig Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2020 21 15 17(2020,21) Artikel-Nummer 7812, 15 Seiten 2013 01 DE-16-250 3834525723 00 --%%-- --%%-- --%%-- --%%-- l01 12-01-21 2013 01 DE-16-250 00 s hd2020 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_12 2013 01 DE-16-250 03 s s_15 2013 01 DE-16-250 04 p (DE-627)1480578088 De Allegri, Manuela 2013 01 DE-16-250 04 k (DE-627)1493871218 Institut für Public Health (IPH) 2013 01 DE-16-250 04 k (DE-627)1416466967 Medizinische Fakultät Heidelberg 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_1 2013 01 DE-16-250 05 p (DE-627)169296500X Srivastava, Swati 2013 01 DE-16-250 05 k (DE-627)1416822720 Extern 2013 01 DE-16-250 05 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 05 s pos_2 2013 01 DE-16-250 06 p (DE-627)1486049052 Brenner, Stephan 2013 01 DE-16-250 06 k (DE-627)1493871218 Institut für Public Health (IPH) 2013 01 DE-16-250 06 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 06 s pos_4 2013 01 DE-16-250 07 p (DE-627)1744399212 Parisi, Diletta 2013 01 DE-16-250 07 k (DE-627)1495544966 Zentrum für Infektiologie 2013 01 DE-16-250 07 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 07 s pos_6 2013 01 DE-16-250 08 p (DE-627)1744411670 Walsh, Caitlin 2013 01 DE-16-250 08 k (DE-627)1416822720 Extern 2013 01 DE-16-250 08 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 08 s pos_7 2013 01 DE-16-250 09 p (DE-627)1870061551 Ziegler, Susanne 2013 01 DE-16-250 09 k (DE-627)1416466967 Medizinische Fakultät Heidelberg 2013 01 DE-16-250 09 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 09 s pos_10 |
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10.3390/ijerph17217812 doi (DE-627)1744412685 (DE-599)KXP1744412685 (OCoLC)1341384969 DE-627 ger DE-627 rda eng De Allegri, Manuela 1975- verfasserin (DE-588)131974904 (DE-627)516328913 (DE-576)298870975 aut Mixed and multi-methods protocol to evaluate implementation processes and early effects of the Pradhan Mantri Jan Arogya Yojana scheme in seven Indian states Manuela De Allegri, Swati Srivastava, Christoph Strupat, Stephan Brenner, Divya Parmar, Diletta Parisi, Caitlin Walsh, Sahil Mahajan, Rupak Neogi, Susanne Ziegler, Sharmishtha Basu and Nishant Jain 26 October 2020 15 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gesehen am 12.01.2021 In September 2018, India launched Pradhan Mantri Jan Arogya Yojana (PM-JAY), a nationally implemented government-funded health insurance scheme to improve access to quality inpatient care, increase financial protection, and reduce unmet need for the most vulnerable population groups. This protocol describes the methodology adopted to evaluate implementation processes and early effects of PM-JAY in seven Indian states. The study adopts a mixed and multi-methods concurrent triangulation design including three components: 1. demand-side household study, including a structured survey and qualitative elements, to quantify and understand PM-JAY reach and its effect on insurance awareness, health service utilization, and financial protection; 2. supply-side hospital-based survey encompassing both quantitative and qualitative elements to assess the effect of PM-JAY on quality of service delivery and to explore healthcare providers’ experiences with scheme implementation; and 3. process documentation to examine implementation processes in selected states transitioning from either no or prior health insurance to PM-JAY. Descriptive statistics and quasi-experimental methods will be used to analyze quantitative data, while thematic analysis will be used to analyze qualitative data. The study design presented represents the first effort to jointly evaluate implementation processes and early effects of the largest government-funded health insurance scheme ever launched in India. demand-side health financing health insurance impact assessment India process evaluation supply-side Srivastava, Swati verfasserin (DE-588)1206696214 (DE-627)1692964577 aut Strupat, Christoph 1983- verfasserin (DE-588)1018098941 (DE-627)690514352 (DE-576)354985086 aut Brenner, Stephan 1976- verfasserin (DE-588)136445217 (DE-627)583292666 (DE-576)286813602 aut Parmar, Divya 1981- verfasserin (DE-588)1027312020 (DE-627)728886049 (DE-576)372845681 aut Parisi, Diletta verfasserin (DE-588)1224904893 (DE-627)1744398836 aut Walsh, Caitlin verfasserin (DE-588)1224909135 (DE-627)1744411123 aut Mahajan, Sahil verfasserin aut Neogi, Rupak verfasserin aut Ziegler, Susanne verfasserin (DE-588)1309395691 (DE-627)1870061519 aut Basu, Sharmishtha verfasserin aut Jain, Nishant verfasserin aut Enthalten in International journal of environmental research and public health Basel : MDPI AG, 2004 17(2020,21) Artikel-Nummer 7812, 15 Seiten Online-Ressource (DE-627)477992463 (DE-600)2175195-X (DE-576)307642224 1660-4601 nnns volume:17 year:2020 number:21 extent:15 https://doi.org/10.3390/ijerph17217812 Verlag Resolving-System lizenzpflichtig Volltext https://www.mdpi.com/1660-4601/17/21/7812 Verlag lizenzpflichtig Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2020 21 15 17(2020,21) Artikel-Nummer 7812, 15 Seiten 2013 01 DE-16-250 3834525723 00 --%%-- --%%-- --%%-- --%%-- l01 12-01-21 2013 01 DE-16-250 00 s hd2020 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_12 2013 01 DE-16-250 03 s s_15 2013 01 DE-16-250 04 p (DE-627)1480578088 De Allegri, Manuela 2013 01 DE-16-250 04 k (DE-627)1493871218 Institut für Public Health (IPH) 2013 01 DE-16-250 04 k (DE-627)1416466967 Medizinische Fakultät Heidelberg 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_1 2013 01 DE-16-250 05 p (DE-627)169296500X Srivastava, Swati 2013 01 DE-16-250 05 k (DE-627)1416822720 Extern 2013 01 DE-16-250 05 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 05 s pos_2 2013 01 DE-16-250 06 p (DE-627)1486049052 Brenner, Stephan 2013 01 DE-16-250 06 k (DE-627)1493871218 Institut für Public Health (IPH) 2013 01 DE-16-250 06 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 06 s pos_4 2013 01 DE-16-250 07 p (DE-627)1744399212 Parisi, Diletta 2013 01 DE-16-250 07 k (DE-627)1495544966 Zentrum für Infektiologie 2013 01 DE-16-250 07 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 07 s pos_6 2013 01 DE-16-250 08 p (DE-627)1744411670 Walsh, Caitlin 2013 01 DE-16-250 08 k (DE-627)1416822720 Extern 2013 01 DE-16-250 08 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 08 s pos_7 2013 01 DE-16-250 09 p (DE-627)1870061551 Ziegler, Susanne 2013 01 DE-16-250 09 k (DE-627)1416466967 Medizinische Fakultät Heidelberg 2013 01 DE-16-250 09 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 09 s pos_10 |
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10.3390/ijerph17217812 doi (DE-627)1744412685 (DE-599)KXP1744412685 (OCoLC)1341384969 DE-627 ger DE-627 rda eng De Allegri, Manuela 1975- verfasserin (DE-588)131974904 (DE-627)516328913 (DE-576)298870975 aut Mixed and multi-methods protocol to evaluate implementation processes and early effects of the Pradhan Mantri Jan Arogya Yojana scheme in seven Indian states Manuela De Allegri, Swati Srivastava, Christoph Strupat, Stephan Brenner, Divya Parmar, Diletta Parisi, Caitlin Walsh, Sahil Mahajan, Rupak Neogi, Susanne Ziegler, Sharmishtha Basu and Nishant Jain 26 October 2020 15 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gesehen am 12.01.2021 In September 2018, India launched Pradhan Mantri Jan Arogya Yojana (PM-JAY), a nationally implemented government-funded health insurance scheme to improve access to quality inpatient care, increase financial protection, and reduce unmet need for the most vulnerable population groups. This protocol describes the methodology adopted to evaluate implementation processes and early effects of PM-JAY in seven Indian states. The study adopts a mixed and multi-methods concurrent triangulation design including three components: 1. demand-side household study, including a structured survey and qualitative elements, to quantify and understand PM-JAY reach and its effect on insurance awareness, health service utilization, and financial protection; 2. supply-side hospital-based survey encompassing both quantitative and qualitative elements to assess the effect of PM-JAY on quality of service delivery and to explore healthcare providers’ experiences with scheme implementation; and 3. process documentation to examine implementation processes in selected states transitioning from either no or prior health insurance to PM-JAY. Descriptive statistics and quasi-experimental methods will be used to analyze quantitative data, while thematic analysis will be used to analyze qualitative data. The study design presented represents the first effort to jointly evaluate implementation processes and early effects of the largest government-funded health insurance scheme ever launched in India. demand-side health financing health insurance impact assessment India process evaluation supply-side Srivastava, Swati verfasserin (DE-588)1206696214 (DE-627)1692964577 aut Strupat, Christoph 1983- verfasserin (DE-588)1018098941 (DE-627)690514352 (DE-576)354985086 aut Brenner, Stephan 1976- verfasserin (DE-588)136445217 (DE-627)583292666 (DE-576)286813602 aut Parmar, Divya 1981- verfasserin (DE-588)1027312020 (DE-627)728886049 (DE-576)372845681 aut Parisi, Diletta verfasserin (DE-588)1224904893 (DE-627)1744398836 aut Walsh, Caitlin verfasserin (DE-588)1224909135 (DE-627)1744411123 aut Mahajan, Sahil verfasserin aut Neogi, Rupak verfasserin aut Ziegler, Susanne verfasserin (DE-588)1309395691 (DE-627)1870061519 aut Basu, Sharmishtha verfasserin aut Jain, Nishant verfasserin aut Enthalten in International journal of environmental research and public health Basel : MDPI AG, 2004 17(2020,21) Artikel-Nummer 7812, 15 Seiten Online-Ressource (DE-627)477992463 (DE-600)2175195-X (DE-576)307642224 1660-4601 nnns volume:17 year:2020 number:21 extent:15 https://doi.org/10.3390/ijerph17217812 Verlag Resolving-System lizenzpflichtig Volltext https://www.mdpi.com/1660-4601/17/21/7812 Verlag lizenzpflichtig Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2020 21 15 17(2020,21) Artikel-Nummer 7812, 15 Seiten 2013 01 DE-16-250 3834525723 00 --%%-- --%%-- --%%-- --%%-- l01 12-01-21 2013 01 DE-16-250 00 s hd2020 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_12 2013 01 DE-16-250 03 s s_15 2013 01 DE-16-250 04 p (DE-627)1480578088 De Allegri, Manuela 2013 01 DE-16-250 04 k (DE-627)1493871218 Institut für Public Health (IPH) 2013 01 DE-16-250 04 k (DE-627)1416466967 Medizinische Fakultät Heidelberg 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_1 2013 01 DE-16-250 05 p (DE-627)169296500X Srivastava, Swati 2013 01 DE-16-250 05 k (DE-627)1416822720 Extern 2013 01 DE-16-250 05 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 05 s pos_2 2013 01 DE-16-250 06 p (DE-627)1486049052 Brenner, Stephan 2013 01 DE-16-250 06 k (DE-627)1493871218 Institut für Public Health (IPH) 2013 01 DE-16-250 06 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 06 s pos_4 2013 01 DE-16-250 07 p (DE-627)1744399212 Parisi, Diletta 2013 01 DE-16-250 07 k (DE-627)1495544966 Zentrum für Infektiologie 2013 01 DE-16-250 07 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 07 s pos_6 2013 01 DE-16-250 08 p (DE-627)1744411670 Walsh, Caitlin 2013 01 DE-16-250 08 k (DE-627)1416822720 Extern 2013 01 DE-16-250 08 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 08 s pos_7 2013 01 DE-16-250 09 p (DE-627)1870061551 Ziegler, Susanne 2013 01 DE-16-250 09 k (DE-627)1416466967 Medizinische Fakultät Heidelberg 2013 01 DE-16-250 09 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 09 s pos_10 |
| allfieldsSound |
10.3390/ijerph17217812 doi (DE-627)1744412685 (DE-599)KXP1744412685 (OCoLC)1341384969 DE-627 ger DE-627 rda eng De Allegri, Manuela 1975- verfasserin (DE-588)131974904 (DE-627)516328913 (DE-576)298870975 aut Mixed and multi-methods protocol to evaluate implementation processes and early effects of the Pradhan Mantri Jan Arogya Yojana scheme in seven Indian states Manuela De Allegri, Swati Srivastava, Christoph Strupat, Stephan Brenner, Divya Parmar, Diletta Parisi, Caitlin Walsh, Sahil Mahajan, Rupak Neogi, Susanne Ziegler, Sharmishtha Basu and Nishant Jain 26 October 2020 15 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Gesehen am 12.01.2021 In September 2018, India launched Pradhan Mantri Jan Arogya Yojana (PM-JAY), a nationally implemented government-funded health insurance scheme to improve access to quality inpatient care, increase financial protection, and reduce unmet need for the most vulnerable population groups. This protocol describes the methodology adopted to evaluate implementation processes and early effects of PM-JAY in seven Indian states. The study adopts a mixed and multi-methods concurrent triangulation design including three components: 1. demand-side household study, including a structured survey and qualitative elements, to quantify and understand PM-JAY reach and its effect on insurance awareness, health service utilization, and financial protection; 2. supply-side hospital-based survey encompassing both quantitative and qualitative elements to assess the effect of PM-JAY on quality of service delivery and to explore healthcare providers’ experiences with scheme implementation; and 3. process documentation to examine implementation processes in selected states transitioning from either no or prior health insurance to PM-JAY. Descriptive statistics and quasi-experimental methods will be used to analyze quantitative data, while thematic analysis will be used to analyze qualitative data. The study design presented represents the first effort to jointly evaluate implementation processes and early effects of the largest government-funded health insurance scheme ever launched in India. demand-side health financing health insurance impact assessment India process evaluation supply-side Srivastava, Swati verfasserin (DE-588)1206696214 (DE-627)1692964577 aut Strupat, Christoph 1983- verfasserin (DE-588)1018098941 (DE-627)690514352 (DE-576)354985086 aut Brenner, Stephan 1976- verfasserin (DE-588)136445217 (DE-627)583292666 (DE-576)286813602 aut Parmar, Divya 1981- verfasserin (DE-588)1027312020 (DE-627)728886049 (DE-576)372845681 aut Parisi, Diletta verfasserin (DE-588)1224904893 (DE-627)1744398836 aut Walsh, Caitlin verfasserin (DE-588)1224909135 (DE-627)1744411123 aut Mahajan, Sahil verfasserin aut Neogi, Rupak verfasserin aut Ziegler, Susanne verfasserin (DE-588)1309395691 (DE-627)1870061519 aut Basu, Sharmishtha verfasserin aut Jain, Nishant verfasserin aut Enthalten in International journal of environmental research and public health Basel : MDPI AG, 2004 17(2020,21) Artikel-Nummer 7812, 15 Seiten Online-Ressource (DE-627)477992463 (DE-600)2175195-X (DE-576)307642224 1660-4601 nnns volume:17 year:2020 number:21 extent:15 https://doi.org/10.3390/ijerph17217812 Verlag Resolving-System lizenzpflichtig Volltext https://www.mdpi.com/1660-4601/17/21/7812 Verlag lizenzpflichtig Volltext GBV_USEFLAG_U GBV_ILN_2013 ISIL_DE-16-250 SYSFLAG_1 GBV_KXP GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 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_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_2014 GBV_ILN_2153 GBV_ILN_4012 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 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_4338 GBV_ILN_4367 GBV_ILN_4700 AR 17 2020 21 15 17(2020,21) Artikel-Nummer 7812, 15 Seiten 2013 01 DE-16-250 3834525723 00 --%%-- --%%-- --%%-- --%%-- l01 12-01-21 2013 01 DE-16-250 00 s hd2020 2013 01 DE-16-250 01 s (DE-627)1410508463 wissenschaftlicher Artikel (Zeitschrift) 2013 01 DE-16-250 02 s per_12 2013 01 DE-16-250 03 s s_15 2013 01 DE-16-250 04 p (DE-627)1480578088 De Allegri, Manuela 2013 01 DE-16-250 04 k (DE-627)1493871218 Institut für Public Health (IPH) 2013 01 DE-16-250 04 k (DE-627)1416466967 Medizinische Fakultät Heidelberg 2013 01 DE-16-250 04 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 04 s pos_1 2013 01 DE-16-250 05 p (DE-627)169296500X Srivastava, Swati 2013 01 DE-16-250 05 k (DE-627)1416822720 Extern 2013 01 DE-16-250 05 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 05 s pos_2 2013 01 DE-16-250 06 p (DE-627)1486049052 Brenner, Stephan 2013 01 DE-16-250 06 k (DE-627)1493871218 Institut für Public Health (IPH) 2013 01 DE-16-250 06 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 06 s pos_4 2013 01 DE-16-250 07 p (DE-627)1744399212 Parisi, Diletta 2013 01 DE-16-250 07 k (DE-627)1495544966 Zentrum für Infektiologie 2013 01 DE-16-250 07 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 07 s pos_6 2013 01 DE-16-250 08 p (DE-627)1744411670 Walsh, Caitlin 2013 01 DE-16-250 08 k (DE-627)1416822720 Extern 2013 01 DE-16-250 08 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 08 s pos_7 2013 01 DE-16-250 09 p (DE-627)1870061551 Ziegler, Susanne 2013 01 DE-16-250 09 k (DE-627)1416466967 Medizinische Fakultät Heidelberg 2013 01 DE-16-250 09 s (DE-627)1410501914 Verfasser 2013 01 DE-16-250 09 s pos_10 |
| language |
English |
| source |
Enthalten in International journal of environmental research and public health 17(2020,21) Artikel-Nummer 7812, 15 Seiten volume:17 year:2020 number:21 extent:15 |
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Enthalten in International journal of environmental research and public health 17(2020,21) Artikel-Nummer 7812, 15 Seiten volume:17 year:2020 number:21 extent:15 |
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Article |
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2013:0 |
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findex.gbv.de |
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2013@01 |
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demand-side health financing health insurance impact assessment India process evaluation supply-side |
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2013:hd2020 DE-16-250:hd2020 2013:wissenschaftlicher Artikel (Zeitschrift) DE-16-250:wissenschaftlicher Artikel (Zeitschrift) 2013:per_12 DE-16-250:per_12 2013:s_15 DE-16-250:s_15 2013:De Allegri, Manuela DE-16-250:De Allegri, Manuela 2013:Institut für Public Health (IPH) DE-16-250:Institut für Public Health (IPH) 2013:Medizinische Fakultät Heidelberg DE-16-250:Medizinische Fakultät Heidelberg 2013:Verfasser DE-16-250:Verfasser 2013:pos_1 DE-16-250:pos_1 2013:Srivastava, Swati DE-16-250:Srivastava, Swati 2013:Extern DE-16-250:Extern 2013:pos_2 DE-16-250:pos_2 2013:Brenner, Stephan DE-16-250:Brenner, Stephan 2013:pos_4 DE-16-250:pos_4 2013:Parisi, Diletta DE-16-250:Parisi, Diletta 2013:Zentrum für Infektiologie DE-16-250:Zentrum für Infektiologie 2013:pos_6 DE-16-250:pos_6 2013:Walsh, Caitlin DE-16-250:Walsh, Caitlin 2013:pos_7 DE-16-250:pos_7 2013:Ziegler, Susanne DE-16-250:Ziegler, Susanne 2013:pos_10 DE-16-250:pos_10 |
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International journal of environmental research and public health |
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De Allegri, Manuela @@aut@@ Srivastava, Swati @@aut@@ Strupat, Christoph @@aut@@ Brenner, Stephan @@aut@@ Parmar, Divya @@aut@@ Parisi, Diletta @@aut@@ Walsh, Caitlin @@aut@@ Mahajan, Sahil @@aut@@ Neogi, Rupak @@aut@@ Ziegler, Susanne @@aut@@ Basu, Sharmishtha @@aut@@ Jain, Nishant @@aut@@ |
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2020-01-01T00:00:00Z |
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1744412685 |
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englisch |
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Mixed and multi-methods protocol to evaluate implementation processes and early effects of the Pradhan Mantri Jan Arogya Yojana scheme in seven Indian states Manuela De Allegri, Swati Srivastava, Christoph Strupat, Stephan Brenner, Divya Parmar, Diletta Parisi, Caitlin Walsh, Sahil Mahajan, Rupak Neogi, Susanne Ziegler, Sharmishtha Basu and Nishant Jain |
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Mixed and multi-methods protocol to evaluate implementation processes and early effects of the Pradhan Mantri Jan Arogya Yojana scheme in seven Indian states |
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In September 2018, India launched Pradhan Mantri Jan Arogya Yojana (PM-JAY), a nationally implemented government-funded health insurance scheme to improve access to quality inpatient care, increase financial protection, and reduce unmet need for the most vulnerable population groups. This protocol describes the methodology adopted to evaluate implementation processes and early effects of PM-JAY in seven Indian states. The study adopts a mixed and multi-methods concurrent triangulation design including three components: 1. demand-side household study, including a structured survey and qualitative elements, to quantify and understand PM-JAY reach and its effect on insurance awareness, health service utilization, and financial protection; 2. supply-side hospital-based survey encompassing both quantitative and qualitative elements to assess the effect of PM-JAY on quality of service delivery and to explore healthcare providers’ experiences with scheme implementation; and 3. process documentation to examine implementation processes in selected states transitioning from either no or prior health insurance to PM-JAY. Descriptive statistics and quasi-experimental methods will be used to analyze quantitative data, while thematic analysis will be used to analyze qualitative data. The study design presented represents the first effort to jointly evaluate implementation processes and early effects of the largest government-funded health insurance scheme ever launched in India. Gesehen am 12.01.2021 |
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In September 2018, India launched Pradhan Mantri Jan Arogya Yojana (PM-JAY), a nationally implemented government-funded health insurance scheme to improve access to quality inpatient care, increase financial protection, and reduce unmet need for the most vulnerable population groups. This protocol describes the methodology adopted to evaluate implementation processes and early effects of PM-JAY in seven Indian states. The study adopts a mixed and multi-methods concurrent triangulation design including three components: 1. demand-side household study, including a structured survey and qualitative elements, to quantify and understand PM-JAY reach and its effect on insurance awareness, health service utilization, and financial protection; 2. supply-side hospital-based survey encompassing both quantitative and qualitative elements to assess the effect of PM-JAY on quality of service delivery and to explore healthcare providers’ experiences with scheme implementation; and 3. process documentation to examine implementation processes in selected states transitioning from either no or prior health insurance to PM-JAY. Descriptive statistics and quasi-experimental methods will be used to analyze quantitative data, while thematic analysis will be used to analyze qualitative data. The study design presented represents the first effort to jointly evaluate implementation processes and early effects of the largest government-funded health insurance scheme ever launched in India. Gesehen am 12.01.2021 |
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In September 2018, India launched Pradhan Mantri Jan Arogya Yojana (PM-JAY), a nationally implemented government-funded health insurance scheme to improve access to quality inpatient care, increase financial protection, and reduce unmet need for the most vulnerable population groups. This protocol describes the methodology adopted to evaluate implementation processes and early effects of PM-JAY in seven Indian states. The study adopts a mixed and multi-methods concurrent triangulation design including three components: 1. demand-side household study, including a structured survey and qualitative elements, to quantify and understand PM-JAY reach and its effect on insurance awareness, health service utilization, and financial protection; 2. supply-side hospital-based survey encompassing both quantitative and qualitative elements to assess the effect of PM-JAY on quality of service delivery and to explore healthcare providers’ experiences with scheme implementation; and 3. process documentation to examine implementation processes in selected states transitioning from either no or prior health insurance to PM-JAY. Descriptive statistics and quasi-experimental methods will be used to analyze quantitative data, while thematic analysis will be used to analyze qualitative data. The study design presented represents the first effort to jointly evaluate implementation processes and early effects of the largest government-funded health insurance scheme ever launched in India. Gesehen am 12.01.2021 |
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