Literature DB >> 20513674

The research potential of administrative data from state mental health agencies.

William H Fisher1, Jeanne C Rivard.   

Abstract

Three data sets profiling the organization, financing, and services of state mental health agencies, compiled routinely for all states, were examined to assess their potential for use in mental health policy analyses. Strengths included standardized protocols for compiling data at the state level, a high degree of completeness in two of the data sets, consistency in data definitions over time, and built-in data integrity and editing procedures. Data are aggregated at the state level and lack user-friendly features that facilitate downloading to statistical software. However, potential use of these data as contextual factors in multilevel models makes them an important resource for consideration.

Mesh:

Year:  2010        PMID: 20513674     DOI: 10.1176/ps.2010.61.6.546

Source DB:  PubMed          Journal:  Psychiatr Serv        ISSN: 1075-2730            Impact factor:   3.084


  3 in total

1.  Research, Data, and Evidence-Based Treatment Use in State Behavioral Health Systems, 2001-2012.

Authors:  Eric J Bruns; Suzanne E U Kerns; Michael D Pullmann; Spencer W Hensley; Ted Lutterman; Kimberly E Hoagwood
Journal:  Psychiatr Serv       Date:  2015-12-15       Impact factor: 3.084

2.  The role of the outer setting in implementation: associations between state demographic, fiscal, and policy factors and use of evidence-based treatments in mental healthcare.

Authors:  Eric J Bruns; Elizabeth M Parker; Spencer Hensley; Michael D Pullmann; Philip H Benjamin; Aaron R Lyon; Kimberly E Hoagwood
Journal:  Implement Sci       Date:  2019-11-13       Impact factor: 7.327

3.  Incidence of Hospitalization for Respiratory Syncytial Virus Infection amongst Children in Ontario, Canada: A Population-Based Study Using Validated Health Administrative Data.

Authors:  Andrea Pisesky; Eric I Benchimol; Coralie A Wong; Charles Hui; Megan Crowe; Marc-Andre Belair; Supichaya Pojsupap; Tim Karnauchow; Katie O'Hearn; Abdool S Yasseen; James D McNally
Journal:  PLoS One       Date:  2016-03-09       Impact factor: 3.240

  3 in total

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