Abstract
Objectives
Explore if a multi-dimensional analytic approach to routinely registered data provides a comprehensive way to characterise utilisation patterns, and to test if the patients’ functional status is a predictor for the use of services.
Method
We linked register contact data during a two-year period, including all types of specialised mental health services, in the population of a Norwegian county. Cox regression was applied in the models for prediction of admission and readmission.
Results
Great variability and complexity in patterns of utilisation were found, including multiple transitions between in-patient and out-patient statuses. The distribution of services was characterised by a small group of patients receiving a disproportionally large amount of resources. A majority of 77% appeared as out-patients only. Severity of symptoms as well as of dysfunction, as assessed by the split GAF-score, differentiated amongst utilisation groups. Both dimensions were significant predictors for admission. In contrast, only the severity of dysfunction predicted readmission.
Conclusion
Multi-dimensional data architecture and analytical perspectives can be applied to routine data, and should be used to analyse the diverse patterns of utilisation. Risk populations could be predicted by routinely registered information on functional status.
Similar content being viewed by others
References
Andrews G, Issakidis C, Carter G (2001) The shortfall in mental health service utilization. Br J Psychiatry 179:417–425
Bilsker D, Goldner EM (2002) Routine outcome measurement by mental health-care providers: is it worth doing? Lancet 360:1689–1690
Bjørngaard J (2002) Comparative statistics for mental health services 2001. Samdata tables. Sintef Unimed Health Services Research, Trondheim (in Norwegian)
Byrne N, Regan C, Howard L (2005) Administrative registers in psychiatric research: a systematic review of validity studies. Acta Psychiatr Scand 112:409–414
de Boer A, Wijker W, de Haes HC (1997) Predictors of health care utilization in the chronically ill: a review of the literature. Health Policy 42:101–115
Flyckt L, Mattsson M, Edman G, Carlsson R, Cullberg J (2006) Predicting 5-year outcome in first-episode psychosis: construction of a prognostic rating scale. J Clin Psychiatry 67:916–924
Glover GR (2000) A comprehensive clinical database for mental health care in England. Soc Psychiatry Psychiatr Epidemiol 35:523–529
Goldman HH, Skodol AE, Lave TR (1992) Revising axis V for DSM-IV: a review of measures of social functioning. Am J Psychiatry 149:1148–1156
Hansson L, Nettelbladt P, Borgquist L (1990) Patterns of care in patients utilizing both primary health care and psychiatric care in a Swedish health district. Scand J Prim Health Care 8:173–178
Heggestad T (2001) Operating conditions of psychiatric hospitals and early readmission—effects of high patient turnover. Acta Psychiatr Scand 103:196–202
Heggestad T (2009) Hospital readmissions and the distribution of health care. Analyses of Norwegian national register data. Dissertation, University of Bergen, Norway
Hodgson Re, Lewis M, Boardman AP (2001) Prediction of readmission to acute psychiatric units. Soc Psychiatry Psychiatr Epidemiol 36:304–309
Jones SH, Thornicroft G, Coffey M, Dunn G (1995) A brief mental health outcome scale—reliability and validity of the Global Assessment of Functioning (GAF). Br J Psychiatry 166:654–659
Junghan UM, Brenner HD (2006) Heavy use of acute in-patient psychiatric services: the challenge to translate a utilization pattern into service provision. Acta Psychiatr Scand 113(Suppl 429):24–32
Kent S, Fogarty M, Yellowlees P (1995) A review of studies of heavy users of psychiatric services. Psychiatr Serv 46:1247–1253
Kolbasovsky A, Reich L, Futterman R (2007) Predicting future hospital utilization for mental health conditions. J Behav Health Serv Res 34:34–42
Lloyd-Evans B, Johnson S, Slade M (2007) Assessing the content of mental health services: a review of measures. Soc Psychiatry Psychiatr Epidemiol 42:673–682
Loevdahl H, Friis S (1996) Routine evaluation of mental health: reliable information or worthless “guesstimates”? Acta Psychiatr Scand 93:125–128
Løvdahl H, Hatling T (2000) Adult psychiatric services. User manual with record description for Minimal Basic Data Set. Sintef Unimed Health Services Research, Trondheim (in Norwegian)
Mechanic D (2003) Is the prevalence of mental disorders a good measure of the need for services? Health Aff 22:8–20
Miller T, Powell D (eds) (1997) Special edition using Delpi 3. Que Corporation, Indianapolis
Moos RH, Nichol AC, Moos BS (2002) Global Assessment of Functioning ratings and the allocation and outcomes of mental health services. Psychiatr Serv 53:730–737
Moreno Küstner B, Torres Gonzales F, Luna del Castillo JD (2001) Analysis of patterns of mental health care with three different approaches (cross-sectional, longitudinal and dynamic). Epidemiol Psychiatr Soc 10:82–89
Norwegian Patient Register. http://www.helsedirektoratet.no/norsk_pasientregister/. Assessed 16 Sept 2010
Ot.prp. nr 63 (2002–2003) Om lov om endringer i lov 2. juli 1999 nr 63. Om pasientrettigheter (pasientrettighetsloven) mm. Oslo: Ministry of Health and Care Services (in Norwegian)
Pedersen G, Hagtvet KA, Karterud S (2007) Generalizability studies of the Global Assessment of Functioning-Split version. Compr Psychiatry 48:88–94
Perera G, Soremekun M, Breen G, Stewart R (2009) The psychiatric case register: noble past, challenging present, but exiting future. Br J Psychiatry 195:191–193
Roick C, Heider D, Kilian R, Angermeyer MC (2002) Heavy users of inpatient psychiatric services. An analysis using insurance data from the city of Leipzig. Psychiatr Prax 29:343–349 (in German)
Rosen AK, Mayer-Oakes A (1999) Episodes of care: theoretical frameworks versus current operational realities. Jt Comm J Qual Improv 25:111–128
Rund BR, Ruud T (1999) Costs of services for schizophrenic patients in Norway. Acta Psychiatr Scand 99:120–125
Söderberg P, Tungström S, Armelius BA (2005) Reliability of Global Assessment of Functioning Ratings made by clinical psychiatric staff. Psychiatr Serv 56:434–438
Squire L, Bedard M, Hegge L, Polischuk V (2002) Current evaluation and future needs of a mental health data linkage system in a remote region: a Canadian experience. J Behav Health Serv Res 29:476–480
Stockdale SE, Klap R, Belin TR, Zhang L, Wells KB (2006) Longitudinal patterns of alcohol, drug, and mental health need and care in a national sample of U.S. adults. Psychiatr Serv 57:93–99
St.prp. nr 63 (1996–1997) Opptrappingsplanen for psykisk helse. Ministry of Health and Social Affaires, Oslo (in Norwegian)
Tansella M, Thornicroft G (1998) A conceptual framework for mental health services: the matrix model. Psychol Med 28:503–508
Thornicroft G, Tansella M (2002) Balancing community-based and hospital-based mental health care. World Psychiatry 1(2):84–90
Vatnaland T, Vatnaland J, Friis S, Opjordsmoen S (2007) Are GAF scores reliable in routine clinical use? Acta Psychiatr Scand 115:326–330
Wierdsma AI, Sytema S, van Os JJ, Mulder CL (2008) Case registers in psychiatry: do they still have a role for research and service monitoring? Curr Opin Psychiatry 21(4):379–384
Wingert TD, Kralewski JE, Lindquist TJ, Knutson DJ (1995–1996) Constructing episodes of care from encounter and claims data: some methodological issues. Inquiry 32:430–443
Yamaguchi K, Event history analysis (1991) Applied social research methods series Volume 28. Sage Publications, Newbury Park
Acknowledgments
The study was partly supported by the Samdata-project at Sintef Health Research Trondheim Norway, where all three authors were employed at the start of the study period. The Samdata-project was financed by the Norwegian Ministry of Health and Care Services. We also acknowledge the assistance of the Norwegian Patient Register, and those responsible for the mental health informatics in the county of Vestfold.
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Heggestad, T., Lilleeng, S.E. & Ruud, T. Patterns of mental health care utilisation: distribution of services and its predictability from routine data. Soc Psychiatry Psychiatr Epidemiol 46, 1275–1282 (2011). https://doi.org/10.1007/s00127-010-0295-y
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00127-010-0295-y