본문 바로가기
KERD
논문KCI 등재

의료보장 형태가 혈액투석 서비스 제공에 미치는 영향에 대한 다수준 분석

Impact of Health Insurance Type on the Quality of Hemodialysis Services: A Multilevel Analysis

0

조회

0

다운로드

4

인용

0

참고문헌

키워드

초록

Objectives: This study aims to compare quality indicators for the hemodialysis services between patients with health insurance and those with medical aid. Methods: This study used data from sampled hospitals that provided a hemodialysis service. A total of 2287 patients were selected, and the information for hemodialysis service has been granted from medical record reviews. A multi-level regression analysis was used to examine the differences in process and outcome indicators for hemodialysis between patients with health insurance and those with medical aid. Process indicators were defined as: frequency of hemodialysis, hemodialysis time,erythropoietin (EPO) use, measurement of hemodialysis dose at least once a month, measurement of phosphate at least once every three months, and measurement of albumin at least once every three months. Outcome indicators were defined as:hemodialysis adequacy, anemia management, blood pressure management, and calcium, phosphate and nutrition management. The total scores for outcome indicators ranged from 0 (worst) to 4 (best). Results: There was a significant difference in the measurement of hemodialysis dose at least once a month between patients with health insurance and those with medical aid (OR 0.66, 95% CI = 0.43 - 0.99). However, frequency of hemodialysis,hemodialysis time, EPO use, measurement of phosphate at least once every three months, measurement of albumin at least once every three months, hemodialysis adequacy management, Hb≥11 g/dL, blood pressure within the range of 100-140 /60-90 mmHg, calcium × phosphate≤55 g2/dL2 and albumin≥4 g/dL were not significantly different between the groups. Conclusions: There were no significant differences in outcome indicators for hemodialysis between the groups. Further studies are warranted into the mechanism that results in no differences in the outcome indicators for hemodialysis.

Abstract

Objectives: This study aims to compare quality indicators for the hemodialysis services between patients with health insurance and those with medical aid. Methods: This study used data from sampled hospitals that provided a hemodialysis service. A total of 2287 patients were selected, and the information for hemodialysis service has been granted from medical record reviews. A multi-level regression analysis was used to examine the differences in process and outcome indicators for hemodialysis between patients with health insurance and those with medical aid. Process indicators were defined as: frequency of hemodialysis, hemodialysis time,erythropoietin (EPO) use, measurement of hemodialysis dose at least once a month, measurement of phosphate at least once every three months, and measurement of albumin at least once every three months. Outcome indicators were defined as:hemodialysis adequacy, anemia management, blood pressure management, and calcium, phosphate and nutrition management. The total scores for outcome indicators ranged from 0 (worst) to 4 (best). Results: There was a significant difference in the measurement of hemodialysis dose at least once a month between patients with health insurance and those with medical aid (OR 0.66, 95% CI = 0.43 - 0.99). However, frequency of hemodialysis,hemodialysis time, EPO use, measurement of phosphate at least once every three months, measurement of albumin at least once every three months, hemodialysis adequacy management, Hb≥11 g/dL, blood pressure within the range of 100-140 /60-90 mmHg, calcium × phosphate≤55 g2/dL2 and albumin≥4 g/dL were not significantly different between the groups. Conclusions: There were no significant differences in outcome indicators for hemodialysis between the groups. Further studies are warranted into the mechanism that results in no differences in the outcome indicators for hemodialysis.

참고문헌 (39)

  1. "Korean Society of Nephrology. Current renal replacement therapy in Korea"[URL]
  2. Scribner BH, "The treatment of chronic uremia by means of intermittent hemodialysis: a preliminary report", Trans Am Soc Artif Intern Organs, 6, pp.114~122 (1960)
  3. Ha SK, "Adequacy of hemodialysis", J Korean Soc Nephrol, 16(2), pp.S146~153 (1997)
  4. Lee JH, "A study on hemodialysis adherence and mental states on ESRD hemodialysis patients", J Korean Neuropsychiatr Assoc, 34, pp.1059~1069 (1995)
  5. Ok SI, "Risk predictors for survival in maintenance hemodialysispatients", J Wonkwang Med Sci, 14(2), pp.203~209 (1998)
  6. 이선희, "정액수가제 도입이 의료급여 혈액투석환자의 투석횟수 및 진료비에 미치는 영향", 예방의학회지, 37(3), pp.260~266 (2004), 대한예방의학회
  7. 고유경, "다수준분석을이용한임상간호사의조직시민행동과관련된요인탐색", Journal of Korean Academy of Nursing, 38(2), pp.287~297 (2008), 한국간호과학회
  8. Luke DA, "Multilevel Modeling" (2004), Sage Publications
  9. "End stage renal disease(ESRD) quality initiative overview"[URL]
  10. "Fistula first national vascular access improvement initiative website"[URL]
  11. "Institute for healthcare improvement : boosting arteriovenous (AV) fistula rates in ESRD patients"[URL]
  12. Physician Consortium for Performance Improvement : Chronical Kidney Disease Physician Performance Measurement Set, "Renal Physicians Association", pp.2007, William H
  13. "Clinical performance measures for dialysis facilities"[URL]
  14. Kim DS, "The Study on Clinical Performance Measures for Hemodialysis" (2008), Health Insurance Review & Assessment
  15. KDOQI; National Kidney Foundation, "KDOQI Clinical Practice Guidelines and Clinical Practice Recommendations for Anemia in Chronic Kidney Disease", Am J Kidney Dis, 47(5), pp.S11~145 (2006)
  16. National Kidney Foundation, "K", DOQI Clinical Practice Guidelines for Hemodialysis Adequacy: update 2000, 2001, pp.37(1), S7~S64
  17. "K/DOQI guidelines and com mentaries"[URL]
  18. Walter HH, "Replacement of Renal Function by Dialysis, 5th ed", Kluwer Academic Publishers, ~ (2004)
  19. Charra B, "Survival as an index of adequacy of dialysis", Kidney Int, 41(5), pp.1286~1291 (1992)
  20. Owen WF Jr, "The urea reduction ratio and serum albumin concentration as predictors of mortality in patients undergoing hemodialysis", N Engl J Med, 329(14), pp.1001~1006 (1993)
  21. Levin A, "Left venticular mass index increase in early renal disease: impact of decline in hemoglobin", Am J Kidney Dis, 34(1), pp.125~134 (1999)
  22. Singh AK, "Correction of anemia with epoetin alfa in chronic kidney disease", N Engl J Med, 355(20), pp.2085~2098 (2006)
  23. Portoles J, "A prospective multicentre study of the role of anaemia as a risk factor in haemodialysis patients: the MAR Study", Nephrol Dial Transplant, 22(2), pp.500~507 (2007)
  24. Jo MW, "Evaluation of Institution-based Hemodialysis Adequacy After Risk Adjustment", Ulsan University, ~ (2003)
  25. Aviva P, "Statistic at a Glance, 2nd ed" (2005), Blackwell Publishing Ltd
  26. 송경일, "고령에 혈액투석을 시작한 환자의 단일기관 생존분석", Kidney Research and Clinical Practice, 22(2), pp.9~236 (2003), 대한신장학회
  27. 윤여욱, "만성 혈액투석 환자의 고혈압 유병률과 혈압과 심혈관 사망률의 관계", Kidney Research and Clinical Practice, 24(3), pp.399~406 (2005), 대한신장학회
  28. Kim MS, "Comparison of adequacy of dialysis according to frequency of dialysis per week in patients undergoing maintenance hemodialysis", Inje Med J, 17(3), pp.301~310 (1996)
  29. 김성남, "혈액투석 환자에서 투석 적절도와 빈혈과의 관계", Kidney Research and Clinical Practice, 22(4), pp.12~425 (2003), 대한신장학회
  30. Kim HJ, "Correlation between patient compliance and dialysis adequacy in maintenance hemodialysis patients", Clin Nurs Res, 6(2), pp.109~123
  31. 김연선, "통상적인 투석처방을 받는 혈액투석 환자에서 실제 투석량에 영향을 미치는 인자의 분석", 대한내과학회지, 69(5), pp.503~517 (2005), 대한내과학회
  32. 이대희, "건강보혐과 의료급여 환자간의 정신요법 진료량 차이 비교 - 정신병원 입원환자를 대상으로 -", 예방의학회지, 36(1), pp.4~38 (2003), 대한예방의학회
  33. 김명희, "서울시 노인의 구강통증 여부 및 치과서비스이용의 사회적 결정요인에 대한 다수준분석", 대한구강보건학회지, 31(1), pp.103~115 (2007), 대한구강보건학회
  34. 정최경희, "초등학교 급식 조리노동자의 근골격계증상 위험요인에 대한 다수준분석 연구", 대한직업환경의학회지, 16(4), pp.436~449 (2004), 대한직업환경의학회
  35. Kim YH, "Impact of area characteristic on the health of vulnerable populations in Seoul", Korean J Popul Stud, 31(1), pp.1~26 (2008)
  36. Winkleby MA, "Influence of individual and neighbourhood socioeconomic status on mortality among black, Mexican-American, and white women and men in the United States", J Epidemiol Community Health, 57(6), pp.444~452 (2003)
  37. Turrell G, "Do places affect the probability of death in Australia? A multilevel study of area-level disadvantage, individuallevel socioeconomic position and all-cause mortality, 1998-2000", J Epidemiol Community Health, 61(1), pp.13~19 (2007)
  38. Matheson FI, "The weight of place: a multilevel analysis of gender, neighborhood material deprivation, and body mass index among Canadian adults", Soc Sci Med, 66(3), pp.675~690 (2008)
  39. Ohlsson H, "Is the physician’s adherence to prescription guidelines associated with the patient’s socioeconomic position? An analysis of statin prescription in South Sweden", J Epidemiol Community Health, ~ (2009), doi:10.1136[DOI]

관련 논문AI추천

이 간행물의 다른 논문 (9건)