Influence of frailty-related diagnoses, high-risk prescribing in elderly adults, and primary care use on readmissions in fewer than 30 days for veterans aged 65 and older

Journal of the American Geriatrics Society

Volumn 62, Issue 2, 2014, Pages 291-298

  Pugh, Jacqueline A ^a,b   Wang, Chen Pin ^a,b   Espinoza, Sara E ^a,b   Noël, Polly H ^a,b   Bollinger, Mary ^a,b   Amuan, Megan ^c   Finley, Erin ^a,b   Pugh, Mary Jo ^a,b  

^a SOUTH TEXAS VETERANS HEALTH CARE SYSTEM   (United States)

^b UNIVERSITY OF TEXAS HEALTH SCIENCE CENTER AT SAN ANTONIO   (United States)

^c Edith Nourse Rogers Memorial Hospital   (United States)

Author keywords

early readmissions; frailty; high risk prescribing in the elderly; primary care

Indexed keywords

EARLY READMISSIONS; FRAILTY; HIGH-RISK PRESCRIBING IN THE ELDERLY; PRIMARY CARE;

AGED; AGED, 80 AND OVER; EMERGENCY SERVICE, HOSPITAL; FEMALE; FOLLOW-UP STUDIES; HUMANS; INAPPROPRIATE PRESCRIBING; MALE; PATIENT READMISSION; PRIMARY HEALTH CARE; QUALITY INDICATORS, HEALTH CARE; RETROSPECTIVE STUDIES; RISK FACTORS; UNITED STATES; VETERANS;

EID: 84894083173     PISSN: 00028614     EISSN: 15325415     Source Type: Journal    
DOI: 10.1111/jgs.12656     Document Type: Article

References (53)

1. Jencks SF, Williams MV, Coleman EA,. Rehospitalizations among patients in the Medicare fee-for-service program. N Engl J Med 2009; 360: 1418-1428.
2. Rau J,. Hospitals' readmissions rates not budging. Kaiser Health News, 2012 [on-line]. Available at http://www.kaiserhealthnews.org/stories/2012/July/ 20/hospital-readmissions-rates-still-high.aspx Accessed August 1, 2012.
3. Ashton CM, Wray NP,. A conceptual framework for the study of early readmission as an indicator of quality of care. Soc Sci Med 1996; 43: 1533-1541.
4. House Committee on Ways and Means, Committee on Education and Labor. Compilation of Patient Protection and Affordable Care Act: As amended through 1 November 2010, including Patient Protection and Affordable Care Act health-related portions of the Health Care and Education Reconciliation Act of 2010. Washington, DC: U.S. Government Printing Office, 2010.
5. MedPAC. Payment policy for inpatient readmissions. report to the congress: reforming the delivery system. Washington, DC: Medicare Payment Advisory Commission, 2007.
6. van Walraven C, Bennett C, Jennings A, et al. Proportion of hospital readmissions deemed avoidable: A systematic review. Can Med Assoc J 2011; 183: E391-E402.
7. van Walraven C, Jennings A, Forster AJ,. A meta-analysis of hospital 30-day avoidable readmission rates. J Eval Clin Pract 2011; 18: 1211-1218.
8. Kansagara D, Englander H, Salanitro A, et al. Risk prediction models for hospital readmission: A systematic review. JAMA 2011; 306: 1688-1698.
9. Vest JR, Gamm LD, Oxford BA, et al. Determinants of preventable readmissions in the United States: A systematic review. Implement Sci 2010; 5: 88.
10. Hansen LO, Young RS, Hinami K, et al. Interventions to reduce 30-day rehospitalization: A systematic review. Ann Intern Med 2011; 155: 520-528.
11. Fried LP, Tangen CM, Walston J, et al. Frailty in older adults: Evidence for a phenotype. J Gerontol A Biol Sci Med Sci 2001; 56A: M146-M156.
12. Woods NF, LaCroix AZ, Gray SL, et al. Frailty: Emergence and consequences in women aged 65 and older in the Women's Health Initiative Observational Study. J Am Geriatr Soc 2005; 53: 1321-1330.
13. Walston J, McBurnie MA, Newman A, et al. Frailty and activation of the inflammation and coagulation systems with and without clinical comorbidities: Results from the Cardiovascular Health Study. Arch Intern Med 2002; 162: 2333-2341.
14. Stookey JD, Purser JL, Pieper CF, et al. Plasma hypertonicity: Another marker of frailty? J Am Geriatr Soc 2004; 52: 1313-1320.
15. Chaves PH, Semba RD, Leng SX, et al. Impact of anemia and cardiovascular disease on frailty status of community-dwelling older women: The Women's Health and Aging Studies I and II. J Gerontol A Biol Sci Med Sci 2005; 60A: 729-735.
16. Fick DM, Mion LC, Beers MH, et al. Health outcomes associated with potentially inappropriate medication use in older adults. Res Nurs Health 2008; 31: 42-51.
17. Lau DT, Kasper JD, Potter DB, et al. Hospitalization and death associated with potentially inappropriate medication prescriptions among elderly nursing home residents. Arch Intern Med 2005; 165: 68-74.
18. Albert SM, Colombi A, Hanlon J,. Potentially inappropriate medications and risk of hospitalization in retirees: Analysis of a US retiree health claims database. Drugs Aging 2010; 27: 407-415.
19. Morandi A, Vasilevskis EE, Pandharipande PP, et al. Inappropriate medications in elderly ICU survivors: Where to intervene? Arch Intern Med 2011; 171: 1032-1034.
20. Amarasingham R, Moore BJ, Tabak YP, et al. An automated model to identify heart failure patients at risk for 30 day readmission or death using electronic medical record data. Med Care 2010; 48: 981-988.
21. Billings J, Mijanovich T,. Improving the management of care for high-cost Medicaid patients. Health Aff (Millwood) 2007; 26: 1643-1654.
22. Boult C, Dowd B, McCaffrey D, et al. Screening elders for risk of hospital admission. J Am Geriatr Soc 1993; 41: 811-817.
23. Novotny NL, Anderson MA,. Prediction of early readmission in medical inpatients using the probability of repeated admission instrument. Nurs Res 2008; 57: 406-415.
24. Weeks WB, Lee RE, Wallace AE, et al. Do older rural and urban veterans experience different rates of unplanned readmission to VA and non-VA hospitals? J Rural Health 2009; 25: 62-69.
25. Gade G, Venohr I, Conner D, et al. Impact of an inpatient palliative care team: A randomized control trial. J Palliat Med 2008; 11: 180-190.
26. Nelson C, Chand P, Sortais J, et al. Inpatient palliative care consults and the probability of hospital readmission. Perm J 2011; 15: 48-51.
27. Elixhauser A, Steiner C, Harris DR, et al. Comorbidity measures for use with administrative data. Med Care 1998; 36: 8-27.
28. Pugh MJ, Starner CI, Amuan ME, et al. Exposure to potentially harmful drug-disease interactions in older community-dwelling veterans based on the Healthcare Effectiveness Data and Information Set quality measure: Who is at risk? J Am Geriatr Soc 2011; 59: 1673-1678.
29. Pugh MJ, Hanlon JT, Wang CP, et al. Trends in use of high-risk medications for older veterans: 2004 to 2006. J Am Geriatr Soc 2011; 59: 1891-1898.
30. Agha Z, Lofgren RP, VanRuiswyk JV, et al. Are patients at Veterans Affairs medical centers sicker? A comparative analysis of health status and medical resource use. Arch Intern Med 2000; 160: 3252-3257.
31. Kazis LE, Miller DR, Clark J, et al. Health-related quality of life in patients served by the Department of Veterans Affairs. Arch Intern Med 1998; 158: 626-632.
32. Pugh MJ, Copeland LA, Zeber JE, et al. The impact of epilepsy on health status among younger and older adults. Epilepsia 2005; 46: 1820-1827.
33. Selim AJ, Fincke G, Ren XS, et al. The comorbidity index. In:, Davies M, ed. Measuring and Managing Health Care Quality, 2nd Ed. New York: Aspen Publishers, 2002, pp 91-94.
34. Selim AJ, Fincke G, Ren XS, et al. Comorbidity assessments based on patient report: Results from the Veterans Health Study. J Ambul Care Manage 2004; 27: 281-295.
35. Charlson ME, Pompei P, Ales KL, et al. A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation. J Chronic Dis 1987; 40: 373-383.
36. Deyo RA, Cherkin DC, Ciol MA,. Adapting a clinical comorbidity index for use with ICD-9-CM administrative databases. J Clin Epidemiol 1992; 45: 613-619.
37. Boult C, Green AF, Boult LB, et al. Successful models of comprehensive care for older adults with chronic conditions: Evidence for the Institute of Medicine's "Retooling for an Aging America" report. J Am Geriatr Soc 2009; 57: 2328-2337.
38. Bodenheimer TWE, Grumbach K,. Improving primary care for patients with chronic illness: The Chronic Care Model, Part 2. JAMA 2002; 288: 1909-1914.
39. Safety OoQa. 2010 VHA facility quality and safety report. Washington, DC: Department of Veterans Affairs, Veterans Health Administration, 2010.
40. Carney BT, West P, Neily J, et al. The effect of facility complexity on perceptions of safety climate in the operating room: Size matters. Am J Med Qual 2010; 25: 457-461.
41. Arnold M, Epstein MD, Ashish K, et al. The relationship between hospital admission rates and rehospitalizations. N Engl J Med 2011; 365: 2287-2295.
42. West AN, Lee RE, Shambaugh-Miller MD, et al. Defining "rural" for veterans' health care planning. J Rural Health 2010; 26: 301-309.
43. McCulloch CE, Searle SRNSS,. Generalized, Linear and Mixed Models. New York: John Wiley and Sons Inc, 2001.
44. Rockwood K, Song X, MacKnight C, et al. A global clinical measure of fitness and frailty in elderly people. Can Med Assoc J 2005; 173: 489-495.
45. Studenski S, Hayes RP, Leibowitz RQ, et al. Clinical global impression of change in physical frailty: Development of a measure based on clinical judgment. J Am Geriatr Soc 2004; 52: 1560-1566.
46. Bandeen-Roche K, Xue QL, Ferrucci L, et al. Phenotype of frailty: Characterization in the Women's Health and Aging Studies. J Gerontol A Biol Sci Med Sci 2006; 61A: 262-266.
47. Graham JE, Snih SA, Berges IM, et al. Frailty and 10-year mortality in community-living Mexican American older adults. Gerontology 2009; 55: 644-651.
48. Pugh MJ, Marcum ZA, Copeland LA, et al. The quality of quality measures: HEDIS quality measures for medication management in the elderly and outcomes associated with new exposure. Drugs Aging 2013; 30: 645-654.
49. Weinberger M, Oddone EZ, Henderson WG,. Does increased access to primary care reduce hospital readmissions? Veterans Affairs Cooperative Study Group on Primary Care and Hospital Readmission. N Engl J Med 1996; 334: 1441-1447.
50. Oddone EZ, Weinberger M, Giobbie-Hurder A, et al. Enhanced access to primary care for patients with congestive heart failure. Veterans Affairs Cooperative Study Group on Primary Care and Hospital Readmission. Eff Clin Pract 1999; 2: 201-209.
51. Kaboli PJ, Go JT, Hockenberry J, et al. Associations between reduced hospital length of stay and 30-day readmission rate and mortality: 14-year experience in 129 Veterans Affairs hospitals. Ann Intern Med 2012; 157: 837-845.
52. van Walraven C, Taljaard M, Etchells E, et al. The independent association of provider and information continuity on outcomes after hospital discharge: Implications for hospitalists. J Hosp Med 2010; 5: 398-405.
53. Mullin E,. UPMC Medical home slashes readmissions, cuts utilization costs. Dorland Health, 2012 [on-line]. Available at http://www.dorlandhealth. com/case-management/best-practice/UPMC-Medical-Home-Slashes-Readmissions-Cuts- Utilization-Costs-2355.html Accessed August 1, 2012.