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      KCI등재 SCOPUS SCIE

      Evaluation of the accessibility and its equity of the national public-private mix (PPM) program for tuberculosis in South Korea: a multilevel analysis

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      https://www.riss.kr/link?id=A109050865

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      다국어 초록 (Multilingual Abstract)

      OBJECTIVES To examine the effect of individual and area-level characteristics on the probability of public-private mix (PPM) support (PPM coverage) for tuberculosis (TB).
      METHODS This study is a retrospective cohort design using TB reporting and treatment management data in Korea. We analyzed PPM coverage through multilevel logistic regression and empirical Bayesian estimation according to individual and area-level characteristics and their interaction.
      RESULTS Patients aged 0-29 years, women, of Korean nationality, treated at a general hospital, a one-time reporting, urban areas, and the lowest deprivation index (DI) showed higher PPM coverage. Due to the cross-level interaction, PPM coverage in the urban areas (slope=-0.048, p<0.001) had a higher level but a steeper negative deprivation gradient than in rural areas (slope= -0.015, p<0.001). For a general hospital, the PPM coverage in urban is high but more significantly decreased than in rural areas with the higher DI (urban: slope=-0.047, p<0.001; rural: slope=-0.031, p<0.001). For clinics and hospitals, the effect of DI did not appear in urban areas, but in rural areas, the higher the DI, the higher the PPM coverage with a slope of 0.046 (p<0.001) and 0.063 (p<0.001), respectively.
      CONCLUSIONS The PPM program created a significant disparity in PPM coverage between urban-rural areas and type of healthcare provider according to DI. Considering the high risk of TB incidence in areas with higher DI, institutional improvement and program redesign are needed to improve accessibility and equity.
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      OBJECTIVES To examine the effect of individual and area-level characteristics on the probability of public-private mix (PPM) support (PPM coverage) for tuberculosis (TB). METHODS This study is a retrospective cohort design using TB reporting and treat...

      OBJECTIVES To examine the effect of individual and area-level characteristics on the probability of public-private mix (PPM) support (PPM coverage) for tuberculosis (TB).
      METHODS This study is a retrospective cohort design using TB reporting and treatment management data in Korea. We analyzed PPM coverage through multilevel logistic regression and empirical Bayesian estimation according to individual and area-level characteristics and their interaction.
      RESULTS Patients aged 0-29 years, women, of Korean nationality, treated at a general hospital, a one-time reporting, urban areas, and the lowest deprivation index (DI) showed higher PPM coverage. Due to the cross-level interaction, PPM coverage in the urban areas (slope=-0.048, p<0.001) had a higher level but a steeper negative deprivation gradient than in rural areas (slope= -0.015, p<0.001). For a general hospital, the PPM coverage in urban is high but more significantly decreased than in rural areas with the higher DI (urban: slope=-0.047, p<0.001; rural: slope=-0.031, p<0.001). For clinics and hospitals, the effect of DI did not appear in urban areas, but in rural areas, the higher the DI, the higher the PPM coverage with a slope of 0.046 (p<0.001) and 0.063 (p<0.001), respectively.
      CONCLUSIONS The PPM program created a significant disparity in PPM coverage between urban-rural areas and type of healthcare provider according to DI. Considering the high risk of TB incidence in areas with higher DI, institutional improvement and program redesign are needed to improve accessibility and equity.

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      참고문헌 (Reference)

      1 임창민 ; 김영호, "결핵 발병의 공간불평등 다층모형분석: 경상북도를 대상으로" 한국보건정보통계학회 46 (46): 88-99, 2021

      2 Go U, "Tuberculosis prevention and care in Korea : evolution of policy and practice" 11 : 28-36, 2018

      3 조경숙, "Tuberculosis control in the Republic of Korea" 한국역학회 40 : 1-6, 2018

      4 "Transcending the known in public health practice: the inequality paradox: the population approach and vulnerable populations" 98 : 216-221, 2008

      5 Kim KH, "The influence of regional deprivation index on personal happiness using multilevel analysis" 37 : e2015019-, 2015

      6 Son H, "Status and determinants of treatment outcomes among new tuberculosis patients in South Korea : a retrospective cohort study" 33 : 907-913, 2021

      7 Cramm JM, "Socio-economic status and self-reported tuberculosis : a multilevel analysis in a low-income township in the Eastern Cape, South Africa" 2 : e34-, 2011

      8 Rao JN, "Small area estimation" John Wiley & Sons 269-, 2015

      9 Macintyre S, "Place effects on health: how can we conceptualise, operationalise and measure them?" 55 : 125-139, 2002

      10 Oren E, "Neighborhood socioeconomic position and tuberculosis transmission : a retrospective cohort study" 14 : 227-, 2014

      1 임창민 ; 김영호, "결핵 발병의 공간불평등 다층모형분석: 경상북도를 대상으로" 한국보건정보통계학회 46 (46): 88-99, 2021

      2 Go U, "Tuberculosis prevention and care in Korea : evolution of policy and practice" 11 : 28-36, 2018

      3 조경숙, "Tuberculosis control in the Republic of Korea" 한국역학회 40 : 1-6, 2018

      4 "Transcending the known in public health practice: the inequality paradox: the population approach and vulnerable populations" 98 : 216-221, 2008

      5 Kim KH, "The influence of regional deprivation index on personal happiness using multilevel analysis" 37 : e2015019-, 2015

      6 Son H, "Status and determinants of treatment outcomes among new tuberculosis patients in South Korea : a retrospective cohort study" 33 : 907-913, 2021

      7 Cramm JM, "Socio-economic status and self-reported tuberculosis : a multilevel analysis in a low-income township in the Eastern Cape, South Africa" 2 : e34-, 2011

      8 Rao JN, "Small area estimation" John Wiley & Sons 269-, 2015

      9 Macintyre S, "Place effects on health: how can we conceptualise, operationalise and measure them?" 55 : 125-139, 2002

      10 Oren E, "Neighborhood socioeconomic position and tuberculosis transmission : a retrospective cohort study" 14 : 227-, 2014

      11 Korea Disease Control and Prevention Agency (KCDA), "National tuberculosis control program guideline 2022"

      12 Thongraung W, "Multilevel factors affecting tuberculosis diagnosis and initial treatment" 14 : 378-384, 2008

      13 Goldstein H, "Multilevel cross-classified models" 22 : 364-375, 1994

      14 Diez-Roux AV, "Multilevel analysis in public health research" 21 : 171-192, 2000

      15 de Alencar Ximenes RA, "Is it better to be rich in a poor area or poor in a rich area? A multilevel analysis of a case-control study of social determinants of tuberculosis" 38 : 1285-1296, 2009

      16 Sang Hee Jeong ; 천병철, "Individual and regional factors associated with suicidal ideation among Korean elderly: a multilevel analysis of the Korea Community Health Survey" 한국역학회 41 : 1-8, 2019

      17 World Health Organization, "Guidelines for treatment of drug-susceptible tuberculosis and patient care"

      18 Yu S, "Evaluating the impact of the nationwide public-private mix(PPM)program for tuberculosis under National Health Insurance in South Korea : a difference in differences analysis" 18 : e1003717-, 2021

      19 Rothman KJ, "Epidemiology: an introduction" Oxford University Press 178-, 2012

      20 World Health Organization, "Engaging all health care providers in TB control: guidance on implementing public-private mix approaches"

      21 Lönnroth K, "Drivers of tuberculosis epidemics : the role of risk factors and social determinants" 68 : 2240-2246, 2009

      22 Arroyo LH, "Determinants of multidrug-resistant tuberculosis in São Paulo-Brazil : a multilevel Bayesian analysis of factors associated with individual, community and access to health services" 25 : 839-849, 2020

      23 Theron G, "Data for action : collection and use of local data to end tuberculosis" 386 : 2324-2333, 2015

      24 Duncan C, "Context, composition and heterogeneity : using multilevel models in health research" 46 : 97-117, 1998

      25 Benach J, "Beyond Rose’s strategies : a typology of scenarios of policy impact on population health and health inequalities" 41 : 1-9, 2011

      26 Larsen K, "Appropriate assessment of neighborhood effects on individual health : integrating random and fixed effects in multilevel logistic regression" 161 : 81-88, 2005

      27 Kim JH, "Achievements in and challenges of tuberculosis control in South Korea" 21 : 1913-1920, 2015

      28 Malmborg R, "A systematic assessment of the concept and practice of public-private mix for tuberculosis care and control" 10 : 49-, 2011

      29 Diez Roux AV, "A glossary for multilevel analysis" 56 : 588-594, 2002

      30 Merlo J, "A brief conceptual tutorial on multilevel analysis in social epidemiology : interpreting neighbourhood differences and the effect of neighbourhood characteristics on individual health" 59 : 1022-1028, 2005

      31 Merlo J, "A brief conceptual tutorial of multilevel analysis in social epidemiology : using measures of clustering in multilevel logistic regression to investigate contextual phenomena" 60 : 290-297, 2006

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