Medical costs, Cesarean delivery rates, and length of stay in specialty hospitals vs. non-specialty hospitals in South Korea

PLoS ONE

Volumn 12, Issue 11, 2017, Pages

  Kim, Seung Ju ^a   Kim, Sun Jung ^b   Han, Kyu Tae ^c   Park, Eun Cheol ^d,e  

^a Eulji University   (South Korea)

^b Soonchunhyang University   (South Korea)

^c National Health Insurance Corporation   (South Korea)

^d Yonsei University   (South Korea)

^e Yonsei University College of Medicine   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ADULT; CESAREAN SECTION; CONTROLLED STUDY; FEMALE; GYNECOLOGIC CARE; HUMAN; INTENSIVE CARE; LENGTH OF STAY; MULTICENTER STUDY; NATIONAL HEALTH INSURANCE; SOUTH KOREA; VAGINAL DELIVERY; ECONOMICS; HEALTH CARE COST; HOSPITAL; PREGNANCY; STATISTICS AND NUMERICAL DATA; UTILIZATION;

ADULT; CESAREAN SECTION; FEMALE; HEALTH CARE COSTS; HOSPITALS, SPECIAL; HUMANS; LENGTH OF STAY; PREGNANCY; REPUBLIC OF KOREA;

EID: 85036460699     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0188612     Document Type: Article

References (34)

1. National Health Insurance Service, Health Insurance Review & Assessment Service. 2013 National Health Insurance Statistical Yearbook. 2014. pp. 1–752.
2. Kwon S. Thirty years of national health insurance in South Korea: lessons for achieving universal health care coverage. Health policy and planning. 2009; 24: 63–71. https://doi.org/10.1093/heapol/czn037 PMID: 19004861
3. Kim SJ, Park E-C, Jang SI, Lee M, Kim TH. An analysis of the inpatient charge and length of stay for patients with joint diseases in Korea: specialty versus small general hospitals. Health policy. 2013; 113: 93–99. https://doi.org/10.1016/j.healthpol.2013.09.013 PMID: 24139937
4. Propper C, Burgess S, Green K. Does competition between hospitals improve the quality of care?: Hospital death rates and the NHS internal market. Journal of Public Economics. 2004; 88: 1247–1272.
5. Sari N. Do competition and managed care improve quality? Health economics. 2002; 11: 571–584. https://doi.org/10.1002/hec.726 PMID: 12369060
6. Greenwald L, Cromwell J, Adamache W, Bernard S, Drozd E, Root E, et al. Specialty versus community hospitals: referrals, quality, and community benefits. Health affairs. 2006; 25: 106–118. https://doi.org/10.1377/hlthaff.25.1.106 PMID: 16403750
7. Mitchell JM. Utilization changes following market entry by physician-owned specialty hospitals. Medical Care Research and Review. 2007; 64: 395–415. https://doi.org/10.1177/1077558707301953 PMID: 17684109
8. Swartzmeyer S, Killoran C. Specialty hospital ban was premature. Studies would have shown whether those facilities help or harm healthcare. Modern healthcare. 2004; 34: 21–21.
9. Barro JR, Huckman RS, Kessler DP. The effects of cardiac specialty hospitals on the cost and quality of medical care. Journal of health economics. 2006; 25: 702–721. https://doi.org/10.1016/j.jhealeco.2005.11.001 PMID: 16337289
10. Shactman D. Specialty hospitals, ambulatory surgery centers, and general hospitals: charting a wise public policy course. Health Affairs. 2005; 24: 868–873. https://doi.org/10.1377/hlthaff.24.3.868 PMID: 15886184
11. Casalino LP, Devers KJ, Brewster LR. Focused factories? Physician-owned specialty facilities. Health Affairs. 2003; 22: 56–67.
12. Devers KJ, Brewster LR, Ginsburg PB. Specialty hospitals: focused factories or cream skimmers? Issue brief (Center for Studying Health System Change). 2003: 1–4.
13. Guterman S. Specialty hospitals: a problem or a symptom? Health Affairs. 2006; 25: 95–105. https://doi.org/10.1377/hlthaff.25.1.95 PMID: 16403749
14. Moore K, Coddington D. Specialty hospital rise could add to full-service hospital woes. Healthcare financial management: journal of the Healthcare Financial Management Association. 2005; 59: 84–90.
15. Kim SJ, Lee SG, Kim TH, Park E-C. Healthcare Spending and Performance of Specialty Hospitals: Nationwide Evidence from Colorectal-Anal Specialty Hospitals in South Korea. Yonsei medical journal. 2015; 56: 1721–1730. https://doi.org/10.3349/ymj.2015.56.6.1721 PMID: 26446659
16. Kim SJ, Yoo JW, Lee SG, Kim TH, Han K-T, Park E-C. Governmental designation of spine specialty hospitals, their characteristics, performance and designation effects: a longitudinal study in Korea. BMJ open. 2014; 4: e006525. https://doi.org/10.1136/bmjopen-2014-006525 PMID: 25394819
17. OECD. Health at a Glance 2015: OECD Publishing.
18. Gruber J, Kim J, Mayzlin D. Physician fees and procedure intensity: the case of cesarean delivery. Journal of health economics. 1999; 18: 473–490. PMID: 10539618
19. Feng C, Wang H, Lu N, Tu XM. Log transformation: application and interpretation in biomedical research. Stat Med. 2013; 32: 230–239. https://doi.org/10.1002/sim.5486 PMID: 22806695
20. Basu A, Manning WG, Mullahy J. Comparing alternative models: log vs Cox proportional hazard? Health economics. 2004; 13: 749–765. https://doi.org/10.1002/hec.852 PMID: 15322988
21. Faddy M, Graves N, Pettitt A. Modeling length of stay in hospital and other right skewed data: comparison of phase-type, gamma and log-normal distributions. Value Health. 2009; 12: 309–314. https://doi.org/10.1111/j.1524-4733.2008.00421.x PMID: 20667062
22. Malehi AS, Pourmotahari F, Angali KA. Statistical models for the analysis of skewed healthcare cost data: a simulation study. Health Economics Review. 2015; 5: 1–16.
23. Zeger SL, Liang K-Y. Longitudinal data analysis for discrete and continuous outcomes. Biometrics. 1986: 121–130. PMID: 3719049
24. Hanley JA, Negassa A, Forrester JE. Statistical analysis of correlated data using generalized estimating equations: an orientation. American journal of epidemiology. 2003; 157: 364–375. PMID: 12578807
25. Zeger SL, Liang K-Y, Albert PS. Models for longitudinal data: a generalized estimating equation approach. Biometrics. 1988: 1049–1060. PMID: 3233245
26. Heffner LJ, Elkin E, Fretts RC. Impact of labor induction, gestational age, and maternal age on cesarean delivery rates. Obstetrics & Gynecology. 2003; 102: 287–293.
27. Grant D. Physician financial incentives and cesarean delivery: new conclusions from the healthcare cost and utilization project. Journal of Health Economics. 2009; 28: 244–250. https://doi.org/10.1016/j.jhealeco.2008.09.005 PMID: 19027184
28. Allen VMO, O’Connell CM, Farrell SA, Baskett TF. Economic implications of method of delivery. American journal of obstetrics and gynecology. 2005; 193: 192–197. https://doi.org/10.1016/j.ajog.2004.10.635 PMID: 16021078
29. Ashton CM, Kuykendall DH, Johnson ML, Wray NP, Wu L. The association between the quality of inpatient care and early readmission. Annals of internal medicine. 1995; 122: 415–421. PMID: 7856989
30. Lydon-Rochelle M, Holt VL, Martin DP, Easterling TR. Association between method of delivery and maternal rehospitalization. Jama. 2000; 283: 2411–2416. PMID: 10815084
31. Han K-T, Kim SJ, Jang S-I, Kim SJ, Lee SY, Lee HJ, et al. Positive correlation between care given by specialists and registered nurses and improved outcomes for stroke patients. Journal of the neurological sciences. 2015; 353: 137–142. https://doi.org/10.1016/j.jns.2015.04.034 PMID: 25958265
32. Kim SJ, Han K-T, Lee HJ, Kwon JA, Park E-C. Positive effects of medical staffing on readmission within 30 days after discharge: a retrospective analysis of obstetrics and gynecology data. The European Journal of Public Health. 2016; 26: 935–939. https://doi.org/10.1093/eurpub/ckw102 PMID: 27411559
33. Vonlanthen R, Slankamenac K, Breitenstein S, Puhan MA, Muller MK, Hahnloser D, et al. The impact of complications on costs of major surgical procedures: a cost analysis of 1200 patients. Annals of surgery. 2011; 254: 907–913. https://doi.org/10.1097/SLA.0b013e31821d4a43 PMID: 21562405
34. Hemmila MR, Jakubus JL, Maggio PM, Wahl WL, Dimick JB, Campbell DA, et al. Real money: complications and hospital costs in trauma patients. Surgery. 2008; 144: 307–316. https://doi.org/10.1016/j.surg.2008.05.003 PMID: 18656640