The impact of health insurance on outpatient utilization and expenditure: evidence from one middle-income country using national household survey data
Background Achieving universal health insurance coverage by means of different types of insurance programs may be a pragmatic and feasible approach. However, the fragmentation of the health financing system may imply costs in terms of varying ability of the insurance programs to improve access to an...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Ekman, Björn [verfasserIn] |
|---|
| Format: |
E-Artikel |
|---|---|
| Sprache: |
Englisch |
| Erschienen: |
2007 |
|---|
| Schlagwörter: |
|---|
| Anmerkung: |
© Ekman; licensee BioMed Central Ltd. 2007 |
|---|
| Übergeordnetes Werk: |
Enthalten in: Health research policy and systems - London : BioMed Central, 2003, 5(2007), 1 vom: 30. Mai |
|---|---|
| Übergeordnetes Werk: |
volume:5 ; year:2007 ; number:1 ; day:30 ; month:05 |
| Links: |
|---|
| DOI / URN: |
10.1186/1478-4505-5-6 |
|---|
| Katalog-ID: |
SPR028881443 |
|---|
| LEADER | 01000caa a22002652 4500 | ||
|---|---|---|---|
| 001 | SPR028881443 | ||
| 003 | DE-627 | ||
| 005 | 20230519234133.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 201007s2007 xx |||||o 00| ||eng c | ||
| 024 | 7 | |a 10.1186/1478-4505-5-6 |2 doi | |
| 035 | |a (DE-627)SPR028881443 | ||
| 035 | |a (SPR)1478-4505-5-6-e | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 100 | 1 | |a Ekman, Björn |e verfasserin |4 aut | |
| 245 | 1 | 4 | |a The impact of health insurance on outpatient utilization and expenditure: evidence from one middle-income country using national household survey data |
| 264 | 1 | |c 2007 | |
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 500 | |a © Ekman; licensee BioMed Central Ltd. 2007 | ||
| 520 | |a Background Achieving universal health insurance coverage by means of different types of insurance programs may be a pragmatic and feasible approach. However, the fragmentation of the health financing system may imply costs in terms of varying ability of the insurance programs to improve access to and reduce spending on care across different population groups. This study looks at the effect of different types of health insurance programs on the probability of utilizing care, the intensity of utilization, and individual spending on care in Jordan. Methods Using national household survey data collected in 2000 with a sub-sample of around 8,300 individuals, the study applies econometric techniques to a set of specified models along the two-part model approach to the demand for health care. By means of particular tests and other procedures, the robustness of the results is controlled. Results Around 60 percent of the population is covered by some type of insurance. However, the distribution varies across income groups, and importantly, the effect of insurance on the outcome indicators differ substantially across the various programs. Generally, insurance is found to increase the intensity of utilization and reduce out-of-pocket spending, while no general insurance effect on the probability of use is found. More specifically, however, these effects are only found for some programs and not for all. The best performing programs are those to which the somewhat better off groups have access. Conclusion Notwithstanding the empirical nature of the issues, the results point at the need to assess the effect of insurance coverage more profoundly than what is commonly done. Applying rigorous analysis to survey data in other settings will contribute to bringing out better evidence on what types of programs perform most effectively and equitably in different contexts. | ||
| 650 | 4 | |a Health Insurance |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Outpatient Care |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Insurance Program |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Health Spending |7 (dpeaa)DE-He213 | |
| 650 | 4 | |a Universal Health Insurance Coverage |7 (dpeaa)DE-He213 | |
| 773 | 0 | 8 | |i Enthalten in |t Health research policy and systems |d London : BioMed Central, 2003 |g 5(2007), 1 vom: 30. Mai |w (DE-627)36277935X |w (DE-600)2101196-5 |x 1478-4505 |7 nnns |
| 773 | 1 | 8 | |g volume:5 |g year:2007 |g number:1 |g day:30 |g month:05 |
| 856 | 4 | 0 | |u https://dx.doi.org/10.1186/1478-4505-5-6 |z kostenfrei |3 Volltext |
| 912 | |a GBV_USEFLAG_A | ||
| 912 | |a SYSFLAG_A | ||
| 912 | |a GBV_SPRINGER | ||
| 912 | |a SSG-OLC-PHA | ||
| 912 | |a GBV_ILN_11 | ||
| 912 | |a GBV_ILN_20 | ||
| 912 | |a GBV_ILN_22 | ||
| 912 | |a GBV_ILN_23 | ||
| 912 | |a GBV_ILN_24 | ||
| 912 | |a GBV_ILN_31 | ||
| 912 | |a GBV_ILN_39 | ||
| 912 | |a GBV_ILN_40 | ||
| 912 | |a GBV_ILN_60 | ||
| 912 | |a GBV_ILN_62 | ||
| 912 | |a GBV_ILN_63 | ||
| 912 | |a GBV_ILN_65 | ||
| 912 | |a GBV_ILN_69 | ||
| 912 | |a GBV_ILN_73 | ||
| 912 | |a GBV_ILN_74 | ||
| 912 | |a GBV_ILN_95 | ||
| 912 | |a GBV_ILN_110 | ||
| 912 | |a GBV_ILN_151 | ||
| 912 | |a GBV_ILN_161 | ||
| 912 | |a GBV_ILN_170 | ||
| 912 | |a GBV_ILN_206 | ||
| 912 | |a GBV_ILN_213 | ||
| 912 | |a GBV_ILN_230 | ||
| 912 | |a GBV_ILN_285 | ||
| 912 | |a GBV_ILN_293 | ||
| 912 | |a GBV_ILN_375 | ||
| 912 | |a GBV_ILN_602 | ||
| 912 | |a GBV_ILN_2003 | ||
| 912 | |a GBV_ILN_2005 | ||
| 912 | |a GBV_ILN_2009 | ||
| 912 | |a GBV_ILN_2011 | ||
| 912 | |a GBV_ILN_2014 | ||
| 912 | |a GBV_ILN_2055 | ||
| 912 | |a GBV_ILN_2111 | ||
| 912 | |a GBV_ILN_4012 | ||
| 912 | |a GBV_ILN_4037 | ||
| 912 | |a GBV_ILN_4112 | ||
| 912 | |a GBV_ILN_4125 | ||
| 912 | |a GBV_ILN_4126 | ||
| 912 | |a GBV_ILN_4249 | ||
| 912 | |a GBV_ILN_4305 | ||
| 912 | |a GBV_ILN_4306 | ||
| 912 | |a GBV_ILN_4322 | ||
| 912 | |a GBV_ILN_4323 | ||
| 912 | |a GBV_ILN_4324 | ||
| 912 | |a GBV_ILN_4325 | ||
| 912 | |a GBV_ILN_4367 | ||
| 912 | |a GBV_ILN_4700 | ||
| 951 | |a AR | ||
| 952 | |d 5 |j 2007 |e 1 |b 30 |c 05 | ||
| author_variant |
b e be |
|---|---|
| matchkey_str |
article:14784505:2007----::hipcohatisrnenuptettlztoadxedtreiecfooeidenoeonr |
| hierarchy_sort_str |
2007 |
| publishDate |
2007 |
| allfields |
10.1186/1478-4505-5-6 doi (DE-627)SPR028881443 (SPR)1478-4505-5-6-e DE-627 ger DE-627 rakwb eng Ekman, Björn verfasserin aut The impact of health insurance on outpatient utilization and expenditure: evidence from one middle-income country using national household survey data 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Ekman; licensee BioMed Central Ltd. 2007 Background Achieving universal health insurance coverage by means of different types of insurance programs may be a pragmatic and feasible approach. However, the fragmentation of the health financing system may imply costs in terms of varying ability of the insurance programs to improve access to and reduce spending on care across different population groups. This study looks at the effect of different types of health insurance programs on the probability of utilizing care, the intensity of utilization, and individual spending on care in Jordan. Methods Using national household survey data collected in 2000 with a sub-sample of around 8,300 individuals, the study applies econometric techniques to a set of specified models along the two-part model approach to the demand for health care. By means of particular tests and other procedures, the robustness of the results is controlled. Results Around 60 percent of the population is covered by some type of insurance. However, the distribution varies across income groups, and importantly, the effect of insurance on the outcome indicators differ substantially across the various programs. Generally, insurance is found to increase the intensity of utilization and reduce out-of-pocket spending, while no general insurance effect on the probability of use is found. More specifically, however, these effects are only found for some programs and not for all. The best performing programs are those to which the somewhat better off groups have access. Conclusion Notwithstanding the empirical nature of the issues, the results point at the need to assess the effect of insurance coverage more profoundly than what is commonly done. Applying rigorous analysis to survey data in other settings will contribute to bringing out better evidence on what types of programs perform most effectively and equitably in different contexts. Health Insurance (dpeaa)DE-He213 Outpatient Care (dpeaa)DE-He213 Insurance Program (dpeaa)DE-He213 Health Spending (dpeaa)DE-He213 Universal Health Insurance Coverage (dpeaa)DE-He213 Enthalten in Health research policy and systems London : BioMed Central, 2003 5(2007), 1 vom: 30. Mai (DE-627)36277935X (DE-600)2101196-5 1478-4505 nnns volume:5 year:2007 number:1 day:30 month:05 https://dx.doi.org/10.1186/1478-4505-5-6 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_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_375 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 5 2007 1 30 05 |
| spelling |
10.1186/1478-4505-5-6 doi (DE-627)SPR028881443 (SPR)1478-4505-5-6-e DE-627 ger DE-627 rakwb eng Ekman, Björn verfasserin aut The impact of health insurance on outpatient utilization and expenditure: evidence from one middle-income country using national household survey data 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Ekman; licensee BioMed Central Ltd. 2007 Background Achieving universal health insurance coverage by means of different types of insurance programs may be a pragmatic and feasible approach. However, the fragmentation of the health financing system may imply costs in terms of varying ability of the insurance programs to improve access to and reduce spending on care across different population groups. This study looks at the effect of different types of health insurance programs on the probability of utilizing care, the intensity of utilization, and individual spending on care in Jordan. Methods Using national household survey data collected in 2000 with a sub-sample of around 8,300 individuals, the study applies econometric techniques to a set of specified models along the two-part model approach to the demand for health care. By means of particular tests and other procedures, the robustness of the results is controlled. Results Around 60 percent of the population is covered by some type of insurance. However, the distribution varies across income groups, and importantly, the effect of insurance on the outcome indicators differ substantially across the various programs. Generally, insurance is found to increase the intensity of utilization and reduce out-of-pocket spending, while no general insurance effect on the probability of use is found. More specifically, however, these effects are only found for some programs and not for all. The best performing programs are those to which the somewhat better off groups have access. Conclusion Notwithstanding the empirical nature of the issues, the results point at the need to assess the effect of insurance coverage more profoundly than what is commonly done. Applying rigorous analysis to survey data in other settings will contribute to bringing out better evidence on what types of programs perform most effectively and equitably in different contexts. Health Insurance (dpeaa)DE-He213 Outpatient Care (dpeaa)DE-He213 Insurance Program (dpeaa)DE-He213 Health Spending (dpeaa)DE-He213 Universal Health Insurance Coverage (dpeaa)DE-He213 Enthalten in Health research policy and systems London : BioMed Central, 2003 5(2007), 1 vom: 30. Mai (DE-627)36277935X (DE-600)2101196-5 1478-4505 nnns volume:5 year:2007 number:1 day:30 month:05 https://dx.doi.org/10.1186/1478-4505-5-6 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_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_375 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 5 2007 1 30 05 |
| allfields_unstemmed |
10.1186/1478-4505-5-6 doi (DE-627)SPR028881443 (SPR)1478-4505-5-6-e DE-627 ger DE-627 rakwb eng Ekman, Björn verfasserin aut The impact of health insurance on outpatient utilization and expenditure: evidence from one middle-income country using national household survey data 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Ekman; licensee BioMed Central Ltd. 2007 Background Achieving universal health insurance coverage by means of different types of insurance programs may be a pragmatic and feasible approach. However, the fragmentation of the health financing system may imply costs in terms of varying ability of the insurance programs to improve access to and reduce spending on care across different population groups. This study looks at the effect of different types of health insurance programs on the probability of utilizing care, the intensity of utilization, and individual spending on care in Jordan. Methods Using national household survey data collected in 2000 with a sub-sample of around 8,300 individuals, the study applies econometric techniques to a set of specified models along the two-part model approach to the demand for health care. By means of particular tests and other procedures, the robustness of the results is controlled. Results Around 60 percent of the population is covered by some type of insurance. However, the distribution varies across income groups, and importantly, the effect of insurance on the outcome indicators differ substantially across the various programs. Generally, insurance is found to increase the intensity of utilization and reduce out-of-pocket spending, while no general insurance effect on the probability of use is found. More specifically, however, these effects are only found for some programs and not for all. The best performing programs are those to which the somewhat better off groups have access. Conclusion Notwithstanding the empirical nature of the issues, the results point at the need to assess the effect of insurance coverage more profoundly than what is commonly done. Applying rigorous analysis to survey data in other settings will contribute to bringing out better evidence on what types of programs perform most effectively and equitably in different contexts. Health Insurance (dpeaa)DE-He213 Outpatient Care (dpeaa)DE-He213 Insurance Program (dpeaa)DE-He213 Health Spending (dpeaa)DE-He213 Universal Health Insurance Coverage (dpeaa)DE-He213 Enthalten in Health research policy and systems London : BioMed Central, 2003 5(2007), 1 vom: 30. Mai (DE-627)36277935X (DE-600)2101196-5 1478-4505 nnns volume:5 year:2007 number:1 day:30 month:05 https://dx.doi.org/10.1186/1478-4505-5-6 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_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_375 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 5 2007 1 30 05 |
| allfieldsGer |
10.1186/1478-4505-5-6 doi (DE-627)SPR028881443 (SPR)1478-4505-5-6-e DE-627 ger DE-627 rakwb eng Ekman, Björn verfasserin aut The impact of health insurance on outpatient utilization and expenditure: evidence from one middle-income country using national household survey data 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Ekman; licensee BioMed Central Ltd. 2007 Background Achieving universal health insurance coverage by means of different types of insurance programs may be a pragmatic and feasible approach. However, the fragmentation of the health financing system may imply costs in terms of varying ability of the insurance programs to improve access to and reduce spending on care across different population groups. This study looks at the effect of different types of health insurance programs on the probability of utilizing care, the intensity of utilization, and individual spending on care in Jordan. Methods Using national household survey data collected in 2000 with a sub-sample of around 8,300 individuals, the study applies econometric techniques to a set of specified models along the two-part model approach to the demand for health care. By means of particular tests and other procedures, the robustness of the results is controlled. Results Around 60 percent of the population is covered by some type of insurance. However, the distribution varies across income groups, and importantly, the effect of insurance on the outcome indicators differ substantially across the various programs. Generally, insurance is found to increase the intensity of utilization and reduce out-of-pocket spending, while no general insurance effect on the probability of use is found. More specifically, however, these effects are only found for some programs and not for all. The best performing programs are those to which the somewhat better off groups have access. Conclusion Notwithstanding the empirical nature of the issues, the results point at the need to assess the effect of insurance coverage more profoundly than what is commonly done. Applying rigorous analysis to survey data in other settings will contribute to bringing out better evidence on what types of programs perform most effectively and equitably in different contexts. Health Insurance (dpeaa)DE-He213 Outpatient Care (dpeaa)DE-He213 Insurance Program (dpeaa)DE-He213 Health Spending (dpeaa)DE-He213 Universal Health Insurance Coverage (dpeaa)DE-He213 Enthalten in Health research policy and systems London : BioMed Central, 2003 5(2007), 1 vom: 30. Mai (DE-627)36277935X (DE-600)2101196-5 1478-4505 nnns volume:5 year:2007 number:1 day:30 month:05 https://dx.doi.org/10.1186/1478-4505-5-6 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_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_375 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 5 2007 1 30 05 |
| allfieldsSound |
10.1186/1478-4505-5-6 doi (DE-627)SPR028881443 (SPR)1478-4505-5-6-e DE-627 ger DE-627 rakwb eng Ekman, Björn verfasserin aut The impact of health insurance on outpatient utilization and expenditure: evidence from one middle-income country using national household survey data 2007 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © Ekman; licensee BioMed Central Ltd. 2007 Background Achieving universal health insurance coverage by means of different types of insurance programs may be a pragmatic and feasible approach. However, the fragmentation of the health financing system may imply costs in terms of varying ability of the insurance programs to improve access to and reduce spending on care across different population groups. This study looks at the effect of different types of health insurance programs on the probability of utilizing care, the intensity of utilization, and individual spending on care in Jordan. Methods Using national household survey data collected in 2000 with a sub-sample of around 8,300 individuals, the study applies econometric techniques to a set of specified models along the two-part model approach to the demand for health care. By means of particular tests and other procedures, the robustness of the results is controlled. Results Around 60 percent of the population is covered by some type of insurance. However, the distribution varies across income groups, and importantly, the effect of insurance on the outcome indicators differ substantially across the various programs. Generally, insurance is found to increase the intensity of utilization and reduce out-of-pocket spending, while no general insurance effect on the probability of use is found. More specifically, however, these effects are only found for some programs and not for all. The best performing programs are those to which the somewhat better off groups have access. Conclusion Notwithstanding the empirical nature of the issues, the results point at the need to assess the effect of insurance coverage more profoundly than what is commonly done. Applying rigorous analysis to survey data in other settings will contribute to bringing out better evidence on what types of programs perform most effectively and equitably in different contexts. Health Insurance (dpeaa)DE-He213 Outpatient Care (dpeaa)DE-He213 Insurance Program (dpeaa)DE-He213 Health Spending (dpeaa)DE-He213 Universal Health Insurance Coverage (dpeaa)DE-He213 Enthalten in Health research policy and systems London : BioMed Central, 2003 5(2007), 1 vom: 30. Mai (DE-627)36277935X (DE-600)2101196-5 1478-4505 nnns volume:5 year:2007 number:1 day:30 month:05 https://dx.doi.org/10.1186/1478-4505-5-6 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_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_375 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 AR 5 2007 1 30 05 |
| language |
English |
| source |
Enthalten in Health research policy and systems 5(2007), 1 vom: 30. Mai volume:5 year:2007 number:1 day:30 month:05 |
| sourceStr |
Enthalten in Health research policy and systems 5(2007), 1 vom: 30. Mai volume:5 year:2007 number:1 day:30 month:05 |
| format_phy_str_mv |
Article |
| institution |
findex.gbv.de |
| topic_facet |
Health Insurance Outpatient Care Insurance Program Health Spending Universal Health Insurance Coverage |
| isfreeaccess_bool |
true |
| container_title |
Health research policy and systems |
| authorswithroles_txt_mv |
Ekman, Björn @@aut@@ |
| publishDateDaySort_date |
2007-05-30T00:00:00Z |
| hierarchy_top_id |
36277935X |
| id |
SPR028881443 |
| language_de |
englisch |
| fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR028881443</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519234133.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2007 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/1478-4505-5-6</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR028881443</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)1478-4505-5-6-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Ekman, Björn</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">The impact of health insurance on outpatient utilization and expenditure: evidence from one middle-income country using national household survey data</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2007</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Ekman; licensee BioMed Central Ltd. 2007</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background Achieving universal health insurance coverage by means of different types of insurance programs may be a pragmatic and feasible approach. However, the fragmentation of the health financing system may imply costs in terms of varying ability of the insurance programs to improve access to and reduce spending on care across different population groups. This study looks at the effect of different types of health insurance programs on the probability of utilizing care, the intensity of utilization, and individual spending on care in Jordan. Methods Using national household survey data collected in 2000 with a sub-sample of around 8,300 individuals, the study applies econometric techniques to a set of specified models along the two-part model approach to the demand for health care. By means of particular tests and other procedures, the robustness of the results is controlled. Results Around 60 percent of the population is covered by some type of insurance. However, the distribution varies across income groups, and importantly, the effect of insurance on the outcome indicators differ substantially across the various programs. Generally, insurance is found to increase the intensity of utilization and reduce out-of-pocket spending, while no general insurance effect on the probability of use is found. More specifically, however, these effects are only found for some programs and not for all. The best performing programs are those to which the somewhat better off groups have access. Conclusion Notwithstanding the empirical nature of the issues, the results point at the need to assess the effect of insurance coverage more profoundly than what is commonly done. Applying rigorous analysis to survey data in other settings will contribute to bringing out better evidence on what types of programs perform most effectively and equitably in different contexts.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Health Insurance</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Outpatient Care</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Insurance Program</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Health Spending</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Universal Health Insurance Coverage</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Health research policy and systems</subfield><subfield code="d">London : BioMed Central, 2003</subfield><subfield code="g">5(2007), 1 vom: 30. Mai</subfield><subfield code="w">(DE-627)36277935X</subfield><subfield code="w">(DE-600)2101196-5</subfield><subfield code="x">1478-4505</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:5</subfield><subfield code="g">year:2007</subfield><subfield code="g">number:1</subfield><subfield code="g">day:30</subfield><subfield code="g">month:05</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1186/1478-4505-5-6</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_375</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">5</subfield><subfield code="j">2007</subfield><subfield code="e">1</subfield><subfield code="b">30</subfield><subfield code="c">05</subfield></datafield></record></collection>
|
| author |
Ekman, Björn |
| spellingShingle |
Ekman, Björn misc Health Insurance misc Outpatient Care misc Insurance Program misc Health Spending misc Universal Health Insurance Coverage The impact of health insurance on outpatient utilization and expenditure: evidence from one middle-income country using national household survey data |
| authorStr |
Ekman, Björn |
| ppnlink_with_tag_str_mv |
@@773@@(DE-627)36277935X |
| format |
electronic Article |
| delete_txt_mv |
keep |
| author_role |
aut |
| collection |
springer |
| remote_str |
true |
| illustrated |
Not Illustrated |
| issn |
1478-4505 |
| topic_title |
The impact of health insurance on outpatient utilization and expenditure: evidence from one middle-income country using national household survey data Health Insurance (dpeaa)DE-He213 Outpatient Care (dpeaa)DE-He213 Insurance Program (dpeaa)DE-He213 Health Spending (dpeaa)DE-He213 Universal Health Insurance Coverage (dpeaa)DE-He213 |
| topic |
misc Health Insurance misc Outpatient Care misc Insurance Program misc Health Spending misc Universal Health Insurance Coverage |
| topic_unstemmed |
misc Health Insurance misc Outpatient Care misc Insurance Program misc Health Spending misc Universal Health Insurance Coverage |
| topic_browse |
misc Health Insurance misc Outpatient Care misc Insurance Program misc Health Spending misc Universal Health Insurance Coverage |
| format_facet |
Elektronische Aufsätze Aufsätze Elektronische Ressource |
| format_main_str_mv |
Text Zeitschrift/Artikel |
| carriertype_str_mv |
cr |
| hierarchy_parent_title |
Health research policy and systems |
| hierarchy_parent_id |
36277935X |
| hierarchy_top_title |
Health research policy and systems |
| isfreeaccess_txt |
true |
| familylinks_str_mv |
(DE-627)36277935X (DE-600)2101196-5 |
| title |
The impact of health insurance on outpatient utilization and expenditure: evidence from one middle-income country using national household survey data |
| ctrlnum |
(DE-627)SPR028881443 (SPR)1478-4505-5-6-e |
| title_full |
The impact of health insurance on outpatient utilization and expenditure: evidence from one middle-income country using national household survey data |
| author_sort |
Ekman, Björn |
| journal |
Health research policy and systems |
| journalStr |
Health research policy and systems |
| lang_code |
eng |
| isOA_bool |
true |
| recordtype |
marc |
| publishDateSort |
2007 |
| contenttype_str_mv |
txt |
| author_browse |
Ekman, Björn |
| container_volume |
5 |
| format_se |
Elektronische Aufsätze |
| author-letter |
Ekman, Björn |
| doi_str_mv |
10.1186/1478-4505-5-6 |
| title_sort |
impact of health insurance on outpatient utilization and expenditure: evidence from one middle-income country using national household survey data |
| title_auth |
The impact of health insurance on outpatient utilization and expenditure: evidence from one middle-income country using national household survey data |
| abstract |
Background Achieving universal health insurance coverage by means of different types of insurance programs may be a pragmatic and feasible approach. However, the fragmentation of the health financing system may imply costs in terms of varying ability of the insurance programs to improve access to and reduce spending on care across different population groups. This study looks at the effect of different types of health insurance programs on the probability of utilizing care, the intensity of utilization, and individual spending on care in Jordan. Methods Using national household survey data collected in 2000 with a sub-sample of around 8,300 individuals, the study applies econometric techniques to a set of specified models along the two-part model approach to the demand for health care. By means of particular tests and other procedures, the robustness of the results is controlled. Results Around 60 percent of the population is covered by some type of insurance. However, the distribution varies across income groups, and importantly, the effect of insurance on the outcome indicators differ substantially across the various programs. Generally, insurance is found to increase the intensity of utilization and reduce out-of-pocket spending, while no general insurance effect on the probability of use is found. More specifically, however, these effects are only found for some programs and not for all. The best performing programs are those to which the somewhat better off groups have access. Conclusion Notwithstanding the empirical nature of the issues, the results point at the need to assess the effect of insurance coverage more profoundly than what is commonly done. Applying rigorous analysis to survey data in other settings will contribute to bringing out better evidence on what types of programs perform most effectively and equitably in different contexts. © Ekman; licensee BioMed Central Ltd. 2007 |
| abstractGer |
Background Achieving universal health insurance coverage by means of different types of insurance programs may be a pragmatic and feasible approach. However, the fragmentation of the health financing system may imply costs in terms of varying ability of the insurance programs to improve access to and reduce spending on care across different population groups. This study looks at the effect of different types of health insurance programs on the probability of utilizing care, the intensity of utilization, and individual spending on care in Jordan. Methods Using national household survey data collected in 2000 with a sub-sample of around 8,300 individuals, the study applies econometric techniques to a set of specified models along the two-part model approach to the demand for health care. By means of particular tests and other procedures, the robustness of the results is controlled. Results Around 60 percent of the population is covered by some type of insurance. However, the distribution varies across income groups, and importantly, the effect of insurance on the outcome indicators differ substantially across the various programs. Generally, insurance is found to increase the intensity of utilization and reduce out-of-pocket spending, while no general insurance effect on the probability of use is found. More specifically, however, these effects are only found for some programs and not for all. The best performing programs are those to which the somewhat better off groups have access. Conclusion Notwithstanding the empirical nature of the issues, the results point at the need to assess the effect of insurance coverage more profoundly than what is commonly done. Applying rigorous analysis to survey data in other settings will contribute to bringing out better evidence on what types of programs perform most effectively and equitably in different contexts. © Ekman; licensee BioMed Central Ltd. 2007 |
| abstract_unstemmed |
Background Achieving universal health insurance coverage by means of different types of insurance programs may be a pragmatic and feasible approach. However, the fragmentation of the health financing system may imply costs in terms of varying ability of the insurance programs to improve access to and reduce spending on care across different population groups. This study looks at the effect of different types of health insurance programs on the probability of utilizing care, the intensity of utilization, and individual spending on care in Jordan. Methods Using national household survey data collected in 2000 with a sub-sample of around 8,300 individuals, the study applies econometric techniques to a set of specified models along the two-part model approach to the demand for health care. By means of particular tests and other procedures, the robustness of the results is controlled. Results Around 60 percent of the population is covered by some type of insurance. However, the distribution varies across income groups, and importantly, the effect of insurance on the outcome indicators differ substantially across the various programs. Generally, insurance is found to increase the intensity of utilization and reduce out-of-pocket spending, while no general insurance effect on the probability of use is found. More specifically, however, these effects are only found for some programs and not for all. The best performing programs are those to which the somewhat better off groups have access. Conclusion Notwithstanding the empirical nature of the issues, the results point at the need to assess the effect of insurance coverage more profoundly than what is commonly done. Applying rigorous analysis to survey data in other settings will contribute to bringing out better evidence on what types of programs perform most effectively and equitably in different contexts. © Ekman; licensee BioMed Central Ltd. 2007 |
| collection_details |
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_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_375 GBV_ILN_602 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2009 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2055 GBV_ILN_2111 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_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4367 GBV_ILN_4700 |
| container_issue |
1 |
| title_short |
The impact of health insurance on outpatient utilization and expenditure: evidence from one middle-income country using national household survey data |
| url |
https://dx.doi.org/10.1186/1478-4505-5-6 |
| remote_bool |
true |
| ppnlink |
36277935X |
| mediatype_str_mv |
c |
| isOA_txt |
true |
| hochschulschrift_bool |
false |
| doi_str |
10.1186/1478-4505-5-6 |
| up_date |
2024-07-03T22:17:31.771Z |
| _version_ |
1803597960206876673 |
| fullrecord_marcxml |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01000caa a22002652 4500</leader><controlfield tag="001">SPR028881443</controlfield><controlfield tag="003">DE-627</controlfield><controlfield tag="005">20230519234133.0</controlfield><controlfield tag="007">cr uuu---uuuuu</controlfield><controlfield tag="008">201007s2007 xx |||||o 00| ||eng c</controlfield><datafield tag="024" ind1="7" ind2=" "><subfield code="a">10.1186/1478-4505-5-6</subfield><subfield code="2">doi</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-627)SPR028881443</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(SPR)1478-4505-5-6-e</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-627</subfield><subfield code="b">ger</subfield><subfield code="c">DE-627</subfield><subfield code="e">rakwb</subfield></datafield><datafield tag="041" ind1=" " ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Ekman, Björn</subfield><subfield code="e">verfasserin</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="4"><subfield code="a">The impact of health insurance on outpatient utilization and expenditure: evidence from one middle-income country using national household survey data</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="c">2007</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">Text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">Computermedien</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">Online-Ressource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="500" ind1=" " ind2=" "><subfield code="a">© Ekman; licensee BioMed Central Ltd. 2007</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Background Achieving universal health insurance coverage by means of different types of insurance programs may be a pragmatic and feasible approach. However, the fragmentation of the health financing system may imply costs in terms of varying ability of the insurance programs to improve access to and reduce spending on care across different population groups. This study looks at the effect of different types of health insurance programs on the probability of utilizing care, the intensity of utilization, and individual spending on care in Jordan. Methods Using national household survey data collected in 2000 with a sub-sample of around 8,300 individuals, the study applies econometric techniques to a set of specified models along the two-part model approach to the demand for health care. By means of particular tests and other procedures, the robustness of the results is controlled. Results Around 60 percent of the population is covered by some type of insurance. However, the distribution varies across income groups, and importantly, the effect of insurance on the outcome indicators differ substantially across the various programs. Generally, insurance is found to increase the intensity of utilization and reduce out-of-pocket spending, while no general insurance effect on the probability of use is found. More specifically, however, these effects are only found for some programs and not for all. The best performing programs are those to which the somewhat better off groups have access. Conclusion Notwithstanding the empirical nature of the issues, the results point at the need to assess the effect of insurance coverage more profoundly than what is commonly done. Applying rigorous analysis to survey data in other settings will contribute to bringing out better evidence on what types of programs perform most effectively and equitably in different contexts.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Health Insurance</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Outpatient Care</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Insurance Program</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Health Spending</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Universal Health Insurance Coverage</subfield><subfield code="7">(dpeaa)DE-He213</subfield></datafield><datafield tag="773" ind1="0" ind2="8"><subfield code="i">Enthalten in</subfield><subfield code="t">Health research policy and systems</subfield><subfield code="d">London : BioMed Central, 2003</subfield><subfield code="g">5(2007), 1 vom: 30. Mai</subfield><subfield code="w">(DE-627)36277935X</subfield><subfield code="w">(DE-600)2101196-5</subfield><subfield code="x">1478-4505</subfield><subfield code="7">nnns</subfield></datafield><datafield tag="773" ind1="1" ind2="8"><subfield code="g">volume:5</subfield><subfield code="g">year:2007</subfield><subfield code="g">number:1</subfield><subfield code="g">day:30</subfield><subfield code="g">month:05</subfield></datafield><datafield tag="856" ind1="4" ind2="0"><subfield code="u">https://dx.doi.org/10.1186/1478-4505-5-6</subfield><subfield code="z">kostenfrei</subfield><subfield code="3">Volltext</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_USEFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SYSFLAG_A</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_SPRINGER</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">SSG-OLC-PHA</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_11</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_20</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_22</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_23</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_24</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_31</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_39</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_40</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_60</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_62</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_63</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_65</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_69</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_73</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_74</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_95</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_110</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_151</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_161</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_170</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_206</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_213</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_230</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_285</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_293</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_375</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_602</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2003</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2005</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2009</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2011</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2014</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2055</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_2111</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4012</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4037</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4112</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4125</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4126</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4249</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4305</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4306</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4322</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4323</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4324</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4325</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4367</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">GBV_ILN_4700</subfield></datafield><datafield tag="951" ind1=" " ind2=" "><subfield code="a">AR</subfield></datafield><datafield tag="952" ind1=" " ind2=" "><subfield code="d">5</subfield><subfield code="j">2007</subfield><subfield code="e">1</subfield><subfield code="b">30</subfield><subfield code="c">05</subfield></datafield></record></collection>
|
| score |
7.4002314 |