Key performance indicators and administrative data in an early psychosis service.


Journal

Early intervention in psychiatry
ISSN: 1751-7893
Titre abrégé: Early Interv Psychiatry
Pays: Australia
ID NLM: 101320027

Informations de publication

Date de publication:
Apr 2019
Historique:
received: 04 04 2018
revised: 21 10 2018
accepted: 04 11 2018
pubmed: 15 12 2018
medline: 23 7 2019
entrez: 15 12 2018
Statut: ppublish

Résumé

This study aimed to introduce a set of administrative key performance indicators (KPIs) for Early Psychosis Services. The study design was longitudinal with data retrieved from a 4-year period between January 2009 and December 2013 included in the study. Descriptive statistics and t tests were used to evaluate the KPIs. Results in the 1 year before early psychosis (EP) intervention and 1-year postintervention were calculated for most items, and entry and exit scores were calculated for involuntary treatment orders (ITOs) and Health of the Nation Outcome Scale (HoNOS) scores. There was a 54% reduction in mental health emergency department presentations representing a cost saving of $62 524.00 (AUD). There was also an improvement in the number and duration of mental health admissions with a financial saving of $1 653 534.00 (AUD). Patients improved on all HoNOS scores from entry to exit from the services. ITOs were reduced by approximately 29% on discharge from the service. Administrative data can provide useful KPIs to measure the effectiveness of EP teams and allow benchmarking with similar services.

Identifiants

pubmed: 30548398
doi: 10.1111/eip.12759
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

322-327

Informations de copyright

© 2018 John Wiley & Sons Australia, Ltd.

Auteurs

Victoria Gore-Jones (V)

Early Psychosis Service, Metro South Addiction and Mental Health Service, Queensland, Australia.

Frances Dark (F)

Rehabilitation Academic Clinical Unit, Metro South Addiction and Mental Health Service, Queensland, Australia.

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Classifications MeSH