Literature DB >> 19926189

Productivity growth in outpatient child and adolescent mental health services: the impact of case-mix adjustment.

Vidar Halsteinli1, Sverre A Kittelsen2, Jon Magnussen3.   

Abstract

The performance of health service providers may be monitored by measuring productivity. However, the policy value of such measures may depend crucially on the accuracy of input and output measures. In particular, an important question is how to adjust adequately for case-mix in the production of health care. In this study, we assess productivity growth in Norwegian outpatient child and adolescent mental health service units (CAMHS) over a period characterized by governmental utilization of simple productivity indices, a substantial increase in capacity and a concurrent change in case-mix. We analyze the sensitivity of the productivity growth estimates using different specifications of output to adjust for case-mix differences. Case-mix adjustment is achieved by distributing patients into eight groups depending on reason for referral, age and gender, as well as correcting for the number of consultations. We utilize the nonparametric Data Envelopment Analysis (DEA) method to implicitly calculate weights that maximize each unit's efficiency. Malmquist indices of technical productivity growth are estimated and bootstrap procedures are performed to calculate confidence intervals and to test alternative specifications of outputs. The dataset consist of an unbalanced panel of 48-60 CAMHS in the period 1998-2006. The mean productivity growth estimate from a simple unadjusted patient model (one single output) is 35%; adjusting for case-mix (eight outputs) reduces the growth estimate to 15%. Adding consultations increases the estimate to 28%. The latter reflects an increase in number of consultations per patient. We find that the governmental productivity indices strongly tend to overestimate productivity growth. Case-mix adjustment is of major importance and governmental utilization of performance indicators necessitates careful considerations of output specifications. Copyright 2009 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Year:  2009        PMID: 19926189     DOI: 10.1016/j.socscimed.2009.11.002

Source DB:  PubMed          Journal:  Soc Sci Med        ISSN: 0277-9536            Impact factor:   4.634


  4 in total

1.  Data Envelopment Analysis in the Presence of Measurement Error: Case Study from the National Database of Nursing Quality Indicators® (NDNQI®).

Authors:  Byron J Gajewski; Robert Lee; Nancy Dunton
Journal:  J Appl Stat       Date:  2012-09-18       Impact factor: 1.404

2.  Technical efficiency of primary health units in Kailahun and Kenema districts of Sierra Leone.

Authors:  Joses M Kirigia; Luis G Sambo; Ade Renner; Wondi Alemu; Santigie Seasa; Yankuba Bah
Journal:  Int Arch Med       Date:  2011-05-11

3.  On evaluating health centers groups in Lisbon and Tagus Valley: efficiency, equity and quality.

Authors:  Cláudia Ferreira; Rui C Marques; Paulo Nicola
Journal:  BMC Health Serv Res       Date:  2013-12-21       Impact factor: 2.655

4.  Service-level variation, patient-level factors, and treatment outcome in those seen by child mental health services.

Authors:  Julian Edbrooke-Childs; Amy Macdougall; Daniel Hayes; Jenna Jacob; Miranda Wolpert; Jessica Deighton
Journal:  Eur Child Adolesc Psychiatry       Date:  2017-01-06       Impact factor: 4.785

  4 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.