title: A systematic review of the predictors of health service utilisation by adults with mental disorders in the UK.
abstract: OBJECTIVE
  To identify variables that predict health service utilisation (HSU) by adults with mental disorders in the UK, and to determine the evidence level for these predictors.
  
  
  METHODS
  A narrative synthesis of peer-reviewed studies published after the year 2000. The search was conducted using four databases (ie, PsycINFO, CINAHL Plus with full text, MEDLINE and EMBASE) and completed on 25 March 2014.
  
  
  METHODS
  The majority of included studies were set in health services across primary, secondary, specialist and inpatient care. Some studies used data from household and postal surveys.
  
  
  METHODS
  Included were UK-based studies that predicted HSU by adults with mental disorders. Participants had a range of mental disorders including psychotic disorders, personality disorders, depression, anxiety disorders, eating disorders and dementia.
  
  
  METHODS
  A wide range of HSU outcomes were examined, including general practitioner (GP) contacts, medication usage, psychiatrist contacts, psychotherapy attendances, inpatient days, accident and emergency admissions and 'total HSU'.
  
  
  RESULTS
  Taking into account study quality, 28 studies identified a range of variables with good preliminary evidence supporting their ability to predict HSU. Of these variables, comorbidity, personality disorder, age (heterogeneous age ranges), neurotic symptoms, female gender, a marital status of divorced, separated or widowed, non-white ethnicity, high previous HSU and activities of daily living, were associated with increased HSU. Moreover, good preliminary evidence was found for associations of accessing a primary care psychological treatment service and medication use with decreased HSU.
  
  
  CONCLUSIONS
  The findings can inform decisions about which variables might be used to derive mental health clusters in 'payment by results' systems in the UK. The findings also support the need to investigate whether combining broad diagnoses with care pathways is an effective method for mental health clustering, and the need for research to further examine the association between mental health clusters and HSU.
authors.affiliation: Faculty of Social and Human Sciences, University of Southampton, Southampton, UK.
authors.forename: Conal D
authors.initials: CD
authors.lastname: Twomey
authors.affiliation: Faculty of Medicine, University of Southampton, Southampton, UK.
authors.forename: David S
authors.initials: DS
authors.lastname: Baldwin
authors.affiliation: Swiss Paraplegic Research, Nottwil, Switzerland Department of Health Sciences & Health Policy, University of Lucerne, Lucerne, Switzerland.
authors.forename: Maren
authors.initials: M
authors.lastname: Hopfe
authors.affiliation: Faculty of Social and Human Sciences, School of Psychology, University of Southampton, UK Department of Medical Informatics, Biometry and Epidemiology-IBE, Research Unit for Biopsychosocial Health, Ludwig-Maximilians-University (LMU), Munich, Germany Swiss Paraplegic Research, Nottwil, Switzerland.
authors.forename: Alarcos
authors.initials: A
authors.lastname: Cieza
mesh_terms: D000203:Activities of Daily Living; D000367:Age Factors; D001008:Anxiety Disorders / Q000188:drug therapy / Q000453:epidemiology; D015897:Comorbidity; D003704:Dementia / Q000188:drug therapy / Q000453:epidemiology; D003866:Depressive Disorder / Q000188:drug therapy / Q000453:epidemiology; D001068:Feeding and Eating Disorders / Q000188:drug therapy / Q000453:epidemiology; D005260:Female; D006296:Health Services / Q000706:statistics & numerical data; D006760:Hospitalization / Q000706:statistics & numerical data*; D006801:Humans; D008297:Male; D017533:Marital Status; D001523:Mental Disorders / Q000188:drug therapy / Q000453:epidemiology*; D008605:Mental Health Services / Q000706:statistics & numerical data*; D010554:Personality Disorders / Q000188:drug therapy / Q000453:epidemiology; D011320:Primary Health Care / Q000706:statistics & numerical data*; D011613:Psychotherapy / Q000706:statistics & numerical data*; D011618:Psychotic Disorders / Q000188:drug therapy / Q000453:epidemiology; D012307:Risk Factors; D063127:Secondary Health Care / Q000706:statistics & numerical data; D012737:Sex Factors; D063128:Tertiary Health Care / Q000706:statistics & numerical data; D006113:United Kingdom / Q000453:epidemiology
keywords: HEALTH ECONOMICS; HEALTH SERVICES ADMINISTRATION & MANAGEMENT; MENTAL HEALTH