Quality of care in European home care programs using the second generation interRAI Home Care Quality Indicators (HCQIs)
Language English Country England, Great Britain Media electronic
Document type Journal Article, Research Support, Non-U.S. Gov't
PubMed
26572734
PubMed Central
PMC4647796
DOI
10.1186/s12877-015-0146-5
PII: 10.1186/s12877-015-0146-5
Knihovny.cz E-resources
- MeSH
- Activities of Daily Living MeSH
- Ethnicity MeSH
- Geriatric Assessment methods statistics & numerical data MeSH
- Cohort Studies MeSH
- Quality of Life * MeSH
- Humans MeSH
- Models, Organizational MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Home Care Services * organization & administration standards statistics & numerical data MeSH
- Aging * physiology psychology MeSH
- Quality Indicators, Health Care standards MeSH
- Check Tag
- Humans MeSH
- Male MeSH
- Aged, 80 and over MeSH
- Aged MeSH
- Female MeSH
- Publication type
- Journal Article MeSH
- Research Support, Non-U.S. Gov't MeSH
- Geographicals
- Czech Republic MeSH
- Denmark MeSH
- Finland MeSH
- Italy MeSH
- Germany MeSH
- Netherlands MeSH
BACKGROUND: Evaluating the quality of care provided to older individuals is a key step to ensure that needs are being met and to target interventions to improve care. To this aim, interRAI's second-generation home care quality indicators (HCQIs) were developed in 2013. This study assesses the quality of home care services in six European countries using these HCQIs as well as the two derived summary scales. METHODS: Data for this study were derived from the Aged in Home Care (AdHOC) study - a cohort study that examined different models of community care in European countries. The current study selected a sub-sample of the AdHOC cohort from six countries whose follow-up data were complete (Czech Republic, Denmark, Finland, Germany, Italy and the Netherlands). Data were collected from the interRAI Home Care instrument (RAI-HC) between 2000 and 2002. The 23 HCQIs of interest were determined according to previously established methodology, including risk adjustment. Two summary measures, the Clinical Balance Scale and Independence Quality Scale were also determined using established methodology. RESULTS: A total of 1,354 individuals from the AdHOC study were included in these analyses. Of the 23 HCQIs that were measured, the highest proportion of individuals experienced declines in Instrumental Activities of Daily Living (IADLs) (48.4 %). Of the clinical quality indicators, mood decline was the most prevalent (30.0 %), while no flu vaccination and being alone and distressed were the most prevalent procedural and social quality indicators, respectively (33.4 and 12.8 %). Scores on the two summary scales varied by country, but were concentrated around the median mark. CONCLUSIONS: The interRAI HCQIs can be used to determine the quality of home care services in Europe and identify areas for improvement. Our results suggest functional declines may prove the most beneficial targets for interventions.
Department of Geriatrics 1st Faculty of Medicine Charles University Prague Czech Republic
Department of Geriatrics Faculty of Medicine University of Iceland Reykjavik Iceland
Department of Geriatrics Neuroscience and Orthopedics Catholic University Rome Italy
Department of Medical Epidemiology and Biostatistics Karolinska Institute Stockholm Sweden
HTW Berlin University of Applied Sciences in Technology and Economics Berlin Germany
National Institute for Health and Welfare Helsinki Finland
School of Public Health and Health Systems University of Waterloo Waterloo ON Canada
See more in PubMed
Marek KD, Rantz M. Aging in place: A new model for long-term care. Nurs Adm Q. 2000;24(3):1–11. doi: 10.1097/00006216-200004000-00003. PubMed DOI
O’Connor M, Davitt JK. The Outcome and Assessment Information Set (OASIS): A review of validity and reliability. Home Health Care Serv Q. 2012;31(4):267–301. doi: 10.1080/01621424.2012.703908. PubMed DOI PMC
Hirdes JP, Fries BE, Morris JN, Ikegami N, Zimmerman D, Dalby DM, et al. Home care quality indicators (HC-QIs) based on the MDS-HC. Gerontologist. 2004;44:665–79. doi: 10.1093/geront/44.5.665. PubMed DOI
Dalby DM, Hirdes JP, Fries BE. Risk adjustment methods for Home Care Quality Indicators (HC-QIs) based on the minimum data set for home care. BMC Health Serv Res. 2005;5(1):7. doi: 10.1186/1472-6963-5-7. PubMed DOI PMC
Morris JN, Fries BE, Frijters D, Hirdes JP, Steel RK. interRAI home care quality indicators. BMC Geriatrics. 2013;13:127. doi: 10.1186/1471-2318-13-127. PubMed DOI PMC
Jones RN, Hirdes JP, Poss JW, Kelly M, Berg K, Fries BE, et al. Adjustment of nursing home quality indicators. BMC Health Serv Res. 2010;10:96. doi: 10.1186/1472-6963-10-96. PubMed DOI PMC
Carpenter I, Gambassi G, Topinkova E, Schroll M, Finne-Soveri H, Henrard JC, et al. Community care in Europe. The Aged in Home Care Project (AdHOC) Aging Clin Exp Res. 2004;16(4):259–69. doi: 10.1007/BF03324550. PubMed DOI
Sørbye LW, Garms-Homolová V, Henrard JC, Jónsson PV, Fialová D, Topinková E, et al. Shaping home care in Europe: The contribution of the Aged in Home Care project. Maturitas. 2009;62(3):235–42. doi: 10.1016/j.maturitas.2008.12.016. PubMed DOI
Bos JT, Frijters DHM, Wagner C, Carpenter GI, Finne-Soveri H, Topinková E, et al. Variations in quality of Home Care between sites across Europe, as measured by Home Care Quality Indicators. Aging Clin Exp Res. 2007;19:323–9. doi: 10.1007/BF03324709. PubMed DOI
Morris JN, Fries BE, Steel K, Ikegami N, Bernabei R, Carpenter GI, et al. Comprehensive clinical assessment in community setting: applicability of the MDS-HC. J Am Geriatr Soc. 1997;45(8):1017–24. doi: 10.1111/j.1532-5415.1997.tb02975.x. PubMed DOI
Landi F, Tua E, Onder G, Carrara B, Sgadari A, Rinaldi C, et al. Minimum data set for home care: A valid instrument to assess frail older people living in the community. Med Care. 2000;38(12):1184–90. doi: 10.1097/00005650-200012000-00005. PubMed DOI
Morris JN, Fries BE, Morris SA. Scaling ADLs within the MDS. J Gerontol A Biol Sci Med Sci. 1999;54:M546–53. doi: 10.1093/gerona/54.11.M546. PubMed DOI
Morris JN, Fries BE, Mehr DR, Haures C, Mor V, Lipistz L. MDS Cognitive Performance Scale. J Gerontol. 1994;49:M174–82. doi: 10.1093/geronj/49.4.M174. PubMed DOI
Burrows A, Morris JN, Simon S, Hirdes JP, Phillips C. Development of a Minimum Data Set-Based Depression Rating Scale for use in nursing homes. Age Ageing. 2000;29(2):165–72. doi: 10.1093/ageing/29.2.165. PubMed DOI
Foebel AD, Hirdes JP, Heckman GA, Kergoat MJ, Patten S, Marrie RA, et al. Diagnostic data for neurological conditions in interRAI assessments in home care, nursing home and mental health care settings: a validity study. BMC Health Serv Res. 2013;13:127. doi: 10.1186/1472-6963-13-457. PubMed DOI PMC
Costa AP, Hirdes JP, Heckman GA, Dey AB, Jonsson PV, Lakhan P, et al. Geriatric syndromes predict postdischarge outcomes among older emergency department patients: findings from the the interRAI Multinational Emergency Department Study. Acad Emerg Med. 2014;21(4):422–33. doi: 10.1111/acem.12353. PubMed DOI
Ballokova A, Peel NM, Fialova D, Scott IA, Gray LC, Hubbard RE. Use of benzodiazepines and association with falls in older people admitted to hospital: a prospective cohort study. Drugs Aging. 2014;31(4):299–310. doi: 10.1007/s40266-014-0159-3. PubMed DOI
Foebel AD, Liperoti R, Gambassi G, Gindin J, Ben Israel J, Bernabei R, et al. Prevalence and correlates of cardiovascular medication use among nursing home residents with ischemic heart disease: results from the SHELTER study. J Am Med Dir Assoc. 2014;15(6):410–5. doi: 10.1016/j.jamda.2013.12.085. PubMed DOI
Onder GO, Landi F, Gambassi G, Liperoti R, Soldato M, Catananti C, et al. Association between pain and depression among older adults in Europe: results from the Aged in Home Care (AdHOC) Project: a cross-sectional study. J Clin Psychiatry. 2005;66:982–8. doi: 10.4088/JCP.v66n0804. PubMed DOI
