Waiting times and hospitalizations for ambulatory care sensitive conditions

Health Services and Outcomes Research Methodology

Volumn 8, Issue 1, 2008, Pages 1-18

  Prentice, Julia C ^a   Pizer, Steven D ^b  

^a DEPARTMENT OF VETERANS AFFAIRS   (United States)

^b BOSTON UNIVERSITY SCHOOL OF PUBLIC HEALTH   (United States)

Author keywords

Access to care; ACSC hospitalization; Wait times

Indexed keywords

AGE; AGED; AMBULATORY CARE; ARTICLE; CASE MIX; CONSULTATION; DATA EXTRACTION; EMERGENCY HEALTH SERVICE; ENDOCRINE DISEASE; FEMALE; GERIATRIC CARE; HEALTH STATUS; HEART DISEASE; HIGH RISK PATIENT; HOSPITAL ADMISSION; HOSPITALIZATION; HUMAN; LUNG DISEASE; MAJOR CLINICAL STUDY; MALE; MENTAL DISEASE; NEOPLASM; NEUROLOGIC DISEASE; OUTPATIENT CARE; PREDICTION; PRIORITY JOURNAL; PROBABILITY; REGRESSION ANALYSIS; SENSORY DYSFUNCTION; SEX DIFFERENCE; TIME; UNITED STATES; WAITING TIME;

EID: 39249085315     PISSN: 13873741     EISSN: None     Source Type: Journal    
DOI: 10.1007/s10742-007-0024-5     Document Type: Article

References (23)

1. Baar, B.: New paDient montitor: data definitions. Veteran Health Administration Support Services Center (2005a)
2. Baar, B.: Next available detail data: Data definitions. Veterans Health Administration Support Services Center (2005b)
3. Berlowitz, D.R., Brandeis, G.H., Anderson, J., Du, W., Brand, H.: Effect of pressure ulcers on the survival of long-term care residents. J. Gerontol. A Biol. Sci. Med. Sci. 52(2), M106-M10 (1997)
4. Charlson, M.E., Pompei, P., Ales, K.L., MacKenzie, C.R.: A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation. J. Chronic Dis. 40(5), 373-383 (1987)
5. Culler, S.D., Parchman, M.L., Przybylski, M.: Factors related to potentially preventable hospitalizations among elderly. Med. Care 36(6), 804-817 (1998)
6. Deyo, R.A., Cherkin, D.C., Ciol, M.A.: Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J.Clin. Epidemiol. 45(6), 613-619 (1992)
7. Gordon, P., Chin, M.: Achieving a New Standard in Primary Care for Low-income Populations: Case Studies of Redesign and Change Through a Learning Collaborative. pp. 17. The Commonwealth Fund, New York (2004)
8. Greene, W.H.: Econometric Analysis, 2nd edn. Prentice Hall, Upper Saddle River (1993)
9. Institute of Medicine (IOM): The Committee on the Quality of Health Care in America, Crossing the Quality Chasm: A New Health System for the 21st Century. Institute of Medicine, Washington D.C. (2004)
10. Kenagy, J.W., Berwick, D.M., Shore, M.F.: Service quality in health Care. J. Am. Med. Assoc. 281(7), 661-65 (1999)
11. Mukamel, D.B., Spector, W.D.: Nursing home costs and risk-adjusted outcome measures of quality. Med. Care 38(1), 78-89 (2000)
12. Murray, M.,RBerwick, D.M.: Advanced access: reducing waiting and delays in primary care. J. Am. Med. Assoc. 289, 1035-40 (2003)
13. Murray, M., Bodenheimer, T., Rittenhouse, D., Grumbach, K.: Improving timely access to primary care: Case studies of the advanced access model. J. Am. Med. Assoc. 289(8), 1042-46 (2003)
14. Porell, F., Caro, F.G., Silva, A., Monane, M.: A longitudinal analysis of nursing home outcomes. Health Serv. Res. 33(4), 835-65 (1998)
15. Prentice, J.C., Pizer, S.D.: Delayed access to health care and mortality. Health Serv. Res. 42(2), 644-662 (2007)
16. AHRQ: Quality indicators-guide to prevention qualityHindictors: hospital admission for ambulatory care sensitive conditions. Agency for Healthcare Research and Quality Rockville; AHRQ Pub No. 02-R0203 (2001)
17. Rosen, A., Wu, J., Chang, B.H., Berlowitz, D., Ash, A., Moskowitz, M.: Does diagnostic information contribute to predicting functional decline in long-term care? Med. Care 38(6), 647-59 (2000)
18. Selim, A.J., Berlowitz, D.R., Fincke, G., Rosen, A.K., Ren, X.S., Christiansen, C.L., Cong, Z., Lee, A., Kazis, L.: Risk-adjusted mortality rates as a potential outcome indicator for outpatient quality assessments. Medical Care 40(3), 237-45 (2002)
19. StataCorp. STATA (release 9.0) Statistical Software. StataCorp, College Station, TX (2005)
20. United States Government Accounting Office (U.S. GAO): More national action needed to reduce waiting times, but some clinics have made progress. United States General Accounting Office. GAO-01-953, (2001)
21. VanDeusen Lukas, C., Meterko, M., Mohr, D., Seibert, M.N.: The Implementation and Effectiveness of Advanced Clinic Access. Health Services Research and Development Management Decision and Research Center. Office of Research and Development, Department of Veteran Affairs, Boston (2004)
22. Veterans Health Administration (VHA): Decision support office, "summary of active stop codes; Reference I.," Washington D.C., 2004. [accessed on January 15, 2005]. Available at http://vaww.dss.med.va.gov/programdocs/pd_oident.asp
23. Wilcox, S., Seddon, M., Dunn S., Edwards, R.T., Pearse, J., Tu, J.V.: Measuring and reducing waiting times: A cross-national comparison of strategies. Health Affairs 26(4), 1078-1087 (2007)