405
Views
0
CrossRef citations to date
0
Altmetric
Articles

Application of mixture distributions for identifying thresholds of frequent and high inpatient mental health service use in longitudinal data

ORCID Icon, , , , &
Pages 33-42 | Received 24 Apr 2020, Accepted 08 Jan 2021, Published online: 10 Feb 2021

References

  • Allison, S., & Bastiampillai, T. (2015). Mental health services reach the tipping point in Australian acute hospitals. Medical Journal of Australia, 203(11), 432–434. e1. https://doi.org/10.5694/mja15.00782
  • Allison, S., Bastiampillai, T., & Castle, D. (2019). Hospital psychiatry: Is it adequately funded to meet rising patient demand? Australasian Psychiatry, 27(1), 5–7. https://doi.org/10.1177/1039856218818316
  • Andersen, R. M. (1968). Behavioral model of families’ use of health services. Research series no. 25. Center for Health Administration Studies, University of Chicago.
  • Andersen, R. M. (1995). Revisiting the behavioral model and access to medical care: Does it matter? Journal of Health and Social Behavior, 36(1), 1–10. https://doi.org/10.2307/2137284
  • Andersen, R. M. (2008). National health surveys and the behavioral model of health services use. Medical Care, 46(7), 647–653. https://doi.org/10.1097/MLR.0b013e31817a835d
  • Australian Consortium for Classification Development. (2015). International statistical classification of diseases and related health problems, 10th revision, Australian modification (9th ed.). Independent Hospital Pricing Authority.
  • Australian Health Ministers. (1992). [First] National mental health plan [1993–1998]. Commonwealth of Australia.
  • Australian Institute of Health and Welfare. (2012). National health data dictionary. Version 16 cat. no. HWI 119. Australian Institute of Health and Welfare.
  • Australian Institute of Health and Welfare. (2018). Mental health services—in brief 2019. Cat. no. HSE 228. Australian Institute of Health and Welfare.
  • Beck, A., Harris, V., Newman, L., Evans, L. J., Lewis, H., & Pegler, R. (2016). Statistical approaches for identifying heavy users of inpatient mental health services. Journal of Mental Health, 25(5), 455–460. https://doi.org/10.1080/09638237.2016.1207221
  • Billings, J., & Raven, M. C. (2013). Dispelling an urban legend: Frequent emergency department users have substantial burden of disease. Health Affairs, 32(12), 2099–2108. https://doi.org/10.1377/hlthaff.2012.1276
  • Chai, Y. K., Wheeler, Z., Herbison, P., Gale, C., & Glue, P. (2013). Factors associated with hospitalization of adult psychiatric patients: Cluster analysis. Australasian Psychiatry, 21(2), 141–146. https://doi.org/10.1177/1039856213475682
  • Charlson, M. E., Pompei, P., Ales, K. L., & MacKenzie, C. R. (1987). A new method of classifying prognostic comorbidity in longitudinal studies: Development and validation. Journal of Chronic Diseases, 40(5), 373–383. https://doi.org/10.1016/0021-9681(87)90171-8
  • Deb, P., & Holmes, A. M. (2000). Estimates of use and costs of behavioural health care: A comparison of standard and finite mixture models. Health Economics, 9(6), 475–489. https://doi.org/10.1002/1099-1050(200009)9:6<475::AID-HEC544>3.0.CO;2-H
  • Evans, L. J., Harris, V., Newman, L., & Beck, A. (2017). Rapid and frequent psychiatric readmissions: Associated factors. International Journal of Psychiatry in Clinical Practice, 21(4), 271–276. https://doi.org/10.1080/13651501.2017.1324037
  • Glenn, B. A., Crespi, C. M., Rodriguez, H. P., Nonzee, N. J., Phillips, S. M., Sheinfeld Gorin, S. N., Johnson, S. B., Fernandez, M. E., Estabrooks, P., Kessler, R., Roby, D. H., Heurtin-Roberts, S., Rohweder, C. L., Ory, M. G., & Krist, A. H, MOHR Study Group (2018). Behavioral and mental health risk factor profiles among diverse primary care patients. Preventive Medicine, 111, 21–27. https://doi.org/10.1016/j.ypmed.2017.12.009
  • Graca, J., Klut, C., Trancas, B., Borja-Santos, N., & Cardoso, G. (2013). Characteristics of frequent users of an acute psychiatric inpatient unit: A five-year study in Portugal. Psychiatric Services, 64(2), 192–195. https://doi.org/10.1176/appi.ps.000782012
  • Hastings, S. N., Whitson, H. E., Sloane, R., Landerman, L. R., Horney, C., & Johnson, K. S. (2014). Using the past to predict the future: Latent class analysis of patterns of health service use of older adults in the emergency department. Journal of the American Geriatrics Society, 62(4), 711–715. https://doi.org/10.1111/jgs.12746
  • Health Outcomes International. (2013). SA health, evaluation of the intermediate care services. ICC Final evaluation report September 2013. (accessed 2020 March 30). www.sahealth.sa.gov.au/wps/wcm/connect/b07eb98042ec81578c28bc9d0fd82883/ICC+Final+eval+report.pdf?MOD=AJPERES&CACHEID=b07eb98042ec81578c28bc9d0fd82883
  • Hopko, D. R., Lachar, D., Bailley, S. E., & Varner, R. V. (2001). Assessing predictive factors for extended hospitalization at acute psychiatric admission. Psychiatric Services, 52(10), 1367–1373. https://doi.org/10.1176/appi.ps.52.10.1367
  • Ickowicz, A., & Sparks, R. (2017). Modelling hospital length of stay using convolutive mixtures distributions. Statistics in Medicine, 36(1), 122–135. https://doi.org/10.1002/sim.7135
  • Kessler, D., & McDowell, A. (2012). Introducing the FMM procedure for finite mixture models. In Proceedings of the SAS Global Forum.
  • Korkeila, J. A., Lehtinen, V., Tuori, T., & Helenius, H. (1998). Frequently hospitalised psychiatric patients: A study of predictive factors. Social Psychiatry and Psychiatric Epidemiology, 33(11), 528–534. https://doi.org/10.1007/s001270050090
  • Lago, L., Westley-Wise, V., Mullan, J., Lambert, K., Zingel, R., Carrigan, T., Triner, W., & Eagar, K. (2019). Here one year, gone the next? Investigating persistence of frequent emergency department attendance: A retrospective study in Australia. BMJ Open, 9(6), e027700. https://doi.org/10.1136/bmjopen-2018-027700
  • Langdon, P. E., Yágüez, L., Brown, J., & Hope, A. (2001). Who walks through the ‘revolving-door’ of a British psychiatric hospital. Journal of Mental Health, 10(5), 5, 525–533. https://doi.org/10.1080/09638230120041281
  • Morlino, M., Calento, A., Schiavone, V., Santone, G., Picardi, A., & de Girolamo, G, PROGRES-Acute group (2011). Use of psychiatric inpatient services by heavy users: Findings from a national survey in Italy. European Psychiatry, 26(4), 252–259. https://doi.org/10.1016/j.eurpsy.2010.11.005
  • Mullan, J., Westley-Wise, V., Lago, L., McAlister, B., Webster, D., Eagar, K. (2019). Establishing an effective research partnership between a university and a local health district’ 11th health services and policy research conference, 4th–6th December [Symposium presentation). Auckland, New Zealand.
  • Pauselli, L., Verdolini, N., Bernardini, F., Compton, M. T., & Quartesan, R. (2017). Predictors of length of stay in an inpatient psychiatric unit of a general hospital in Perugia, Italy. Psychiatric Quarterly, 88(1), 129–140. https://doi.org/10.1007/s11126-016-9440-4
  • Pink, B. (2011). Census of population and housing: Socio-economic indexes for areas (SEIFA), Australia [Technical paper] (pp. 54–58). Australian Government.
  • Roberts, T., Esponda, G. M., Krupchanka, D., Shidhaye, R., Patel, V., & Rathod, S. (2018). Factors associated with health service utilisation for common mental disorders: A systematic review. BMC Psychiatry, 18(1), 262. https://doi.org/10.1186/s12888-018-1837-1
  • SAS Institute Inc. (2013). Base SAS 9.4 procedures. SAS Institute Inc.
  • Siskind, D., Harris, M., Diminic, S., Carstensen, G., Robinson, G., & Whiteford, H. (2014). Predictors of mental health-related acute service utilisation and treatment costs in the 12 months following an acute psychiatric admission. Australian & New Zealand Journal of Psychiatry, 48(11), 1048–1058.
  • Sundararajan, V., Henderson, T., Perry, C., Muggivan, A., Quan, H., & Ghali, W. A. (2004). New ICD-10 version of the Charlson comorbidity index predicted in-hospital mortality. Journal of Clinical Epidemiology, 57(12), 1288–1294. https://doi.org/10.1016/j.jclinepi.2004.03.012
  • Tulloch, A. D., Fearon, P., & David, A. S. (2008). The determinants and outcomes of long-stay psychiatric admissions: A case-control study. Social Psychiatry and Psychiatric Epidemiology, 43(7), 569–574. https://doi.org/10.1007/s00127-008-0332-2
  • Twomey, C. D., Baldwin, D. S., Hopfe, M., & Cieza, A. (2015). A systematic review of the predictors of health service utilisation by adults with mental disorders in the UK. BMJ Open, 5(7), e007575. https://doi.org/10.1136/bmjopen-2015-007575
  • Winkelmann, R. (2015). Counting on count data models. IZA World of Labor. https://doi.org/10.15185/izawol.148
  • Zhang, J., Harvey, C., & Andrew, C. (2011). Factors associated with length of stay and the risk of readmission in an acute psychiatric inpatient facility: A retrospective study. Australian & New Zealand Journal of Psychiatry, 45(7), 578–585. https://doi.org/10.3109/00048674.2011.585452

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.