Literature DB >> 24330922

Cost drivers of inpatient mental health care: a systematic review.

J Wolff1, P McCrone1, L Koeser1, C Normann2, A Patel1.   

Abstract

Aims. New reimbursement schemes for inpatient mental health care are imminent in the UK and Germany. The shared intention is to reflect cost differences between patients in reimbursement rates. This requires understanding of patient characteristics that influence hospital resource use. The aim of this review was to show which associations between mental health care per diem hospital costs and patient characteristics are supported by current evidence. Methods. A systematic review of the literature published between 1980 and 2012 was carried out. The search strategy included electronic databases and hand-searching. Furthermore, reference lists, citing articles and related publications were screened and experts were contacted. Results. The search found eight studies. Dispersion in per diem costs was moderate, as was the ability to explain it with patient characteristics. Six patient characteristics were identified as the most relevant variables. These were (1) age, (2) major diagnostic group, (3) risk, (4) legal problems, (5) the ability to perform activities of daily living and (6) presence of psychotic or affective symptoms. Two non-patient-related factors were identified. These were (1) day of stay and (2) treatment site. Conclusions. Idiosyncrasies of mental health care complicated the prediction of per diem hospital costs. More research is required in European settings since transferability of results is unlikely.

Entities:  

Keywords:  prospective payment system

Year:  2013        PMID: 24330922      PMCID: PMC6998131          DOI: 10.1017/S204579601300067X

Source DB:  PubMed          Journal:  Epidemiol Psychiatr Sci        ISSN: 2045-7960            Impact factor:   6.892


  25 in total

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2.  Economic grand rounds: Variation in staffing and activities in psychiatric inpatient units.

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Review 3.  Effects of implementation of psychiatric guidelines on provider performance and patient outcome: systematic review.

Authors:  S Weinmann; M Koesters; T Becker
Journal:  Acta Psychiatr Scand       Date:  2007-06       Impact factor: 6.392

4.  European comparisons between mental health services.

Authors:  K Wahlbeck
Journal:  Epidemiol Psychiatr Sci       Date:  2011-03       Impact factor: 6.892

5.  Guidelines for authors and peer reviewers of economic submissions to the BMJ. The BMJ Economic Evaluation Working Party.

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6.  Case-mix classification of Medicare residents in skilled nursing facilities: resource utilization groups (RUG-T18).

Authors:  B E Fries; D P Schneider; W J Foley; M Dowling
Journal:  Med Care       Date:  1989-09       Impact factor: 2.983

7.  Diagnosis and length of psychiatric in-patient stay.

Authors:  P McCrone; M Phelan
Journal:  Psychol Med       Date:  1994-11       Impact factor: 7.723

Review 8.  Length of stay of general psychiatric inpatients in the United States: systematic review.

Authors:  Alex D Tulloch; Paul Fearon; Anthony S David
Journal:  Adm Policy Ment Health       Date:  2011-05

9.  Prospective payment for Medicare inpatient psychiatric care: assessing the alternatives.

Authors:  Philip G Cotterill; Frederick G Thomas
Journal:  Health Care Financ Rev       Date:  2004

10.  Characteristics of high staff intensive Medicare psychiatric inpatients.

Authors:  Jerry Cromwell; Jan Maier; Barbara Gage; Edward Drozd; Deborah Osber; Erin Richter; Leslie Greenwald; Howard Goldman
Journal:  Health Care Financ Rev       Date:  2004
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  7 in total

1.  [Where is convergence of psychiatry budgets leading to? A comparison of staffing regulations and actual personnel resources].

Authors:  J Wolff; M Berger; C Normann; F Godemann; I Hauth; A Klimke; M Löhr
Journal:  Nervenarzt       Date:  2015-07       Impact factor: 1.214

2.  A work time study analysing differences in resource use between psychiatric inpatients.

Authors:  Jan Wolff; Paul McCrone; Mathias Berger; Anita Patel; Christian Ackermann; Katja Gerhardt; Claus Normann
Journal:  Soc Psychiatry Psychiatr Epidemiol       Date:  2015-03-13       Impact factor: 4.328

3.  Predicting patient outcomes in psychiatric hospitals with routine data: a machine learning approach.

Authors:  J Wolff; A Gary; D Jung; C Normann; K Kaier; H Binder; K Domschke; A Klimke; M Franz
Journal:  BMC Med Inform Decis Mak       Date:  2020-02-06       Impact factor: 2.796

4.  Healthcare Costs for People with Serious Mental Illness in England: An Analysis of Costs Across Primary Care, Hospital Care, and Specialist Mental Healthcare.

Authors:  Jemimah Ride; Panagiotis Kasteridis; Nils Gutacker; Maria Jose Aragon Aragon; Rowena Jacobs
Journal:  Appl Health Econ Health Policy       Date:  2020-04       Impact factor: 2.561

5.  Predicting the risk of drug-drug interactions in psychiatric hospitals: a retrospective longitudinal pharmacovigilance study.

Authors:  Jan Wolff; Gudrun Hefner; Claus Normann; Klaus Kaier; Harald Binder; Katharina Domschke; Christoph Hiemke; Michael Marschollek; Ansgar Klimke
Journal:  BMJ Open       Date:  2021-04-09       Impact factor: 2.692

6.  Predictors of length of stay in psychiatry: analyses of electronic medical records.

Authors:  Jan Wolff; Paul McCrone; Anita Patel; Klaus Kaier; Claus Normann
Journal:  BMC Psychiatry       Date:  2015-10-07       Impact factor: 3.630

7.  Determinants of per diem Hospital Costs in Mental Health.

Authors:  Jan Wolff; Paul McCrone; Anita Patel; Claus Normann
Journal:  PLoS One       Date:  2016-03-31       Impact factor: 3.240

  7 in total

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