Literature DB >> 26410547

Patient Preferences of a Low-Income Hispanic Population for Mental Health Services in Primary Care.

Patricia M Herman1, Maia Ingram2, Heather Rimas3, Scott Carvajal4, Charles E Cunningham5.   

Abstract

We used a discrete-choice conjoint experiment to model the mental health services preferences of patients of a federally-qualified health center serving a primarily low-income, Hispanic farmworker population in southwestern Arizona. The two attributes that had the largest influence on patient choices (i.e., received the highest importance scores) were where patients receive these services and the language and cultural awareness of the provider who prescribed their treatment. Simulations indicated that the clinic could substantially improve its patients' welfare with even a single change. The single most effective change in terms of patient preferences would be to offer behavioral health services onsite.

Entities:  

Keywords:  Conjoint analysis; Discrete choice experiment; Hispanic; Mental health; Patient preferences

Mesh:

Year:  2016        PMID: 26410547     DOI: 10.1007/s10488-015-0687-0

Source DB:  PubMed          Journal:  Adm Policy Ment Health        ISSN: 0894-587X


  3 in total

1.  A Comparison of Methods for Capturing Patient Preferences for Delivery of Mental Health Services to Low-Income Hispanics Engaged in Primary Care.

Authors:  Patricia M Herman; Maia Ingram; Charles E Cunningham; Heather Rimas; Lucy Murrieta; Kenneth Schachter; Jill Guernsey de Zapien; Scott C Carvajal
Journal:  Patient       Date:  2016-08       Impact factor: 3.883

Review 2.  Reducing the Impacts of Mental Health Stigma Through Integrated Primary Care: An Examination of the Evidence.

Authors:  Anderson B Rowan; Jessica Grove; Lindsay Solfelt; Anna Magnante
Journal:  J Clin Psychol Med Settings       Date:  2020-09-29

Review 3.  Mental health service preferences of patients and providers: a scoping review of conjoint analysis and discrete choice experiments from global public health literature over the last 20 years (1999-2019).

Authors:  Anna Larsen; Albert Tele; Manasi Kumar
Journal:  BMC Health Serv Res       Date:  2021-06-18       Impact factor: 2.655

  3 in total

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