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A typology of satisfaction with mental health services based on Andersen’s behavioral model

Overview of attention for article published in Social Psychiatry and Psychiatric Epidemiology, February 2018
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Title
A typology of satisfaction with mental health services based on Andersen’s behavioral model
Published in
Social Psychiatry and Psychiatric Epidemiology, February 2018
DOI 10.1007/s00127-018-1498-x
Pubmed ID
Authors

Marilyn Fortin, Zhirong Cao, Marie-Josée Fleury

Abstract

Patients with mental disorders (MDs) form a highly heterogeneous group, whose satisfaction with mental health services (MHS) may vary according to different variables. Identifying patient subgroups with similar levels of satisfaction may help identify variables that contribute to satisfaction or dissatisfaction with services. This study established a typology of patient satisfaction with MHS that revealed variables specific to each group. The study included 325 patients with MDs across four health service networks offering integrated and diversified services. Data were collected using five standardized instruments, and participant medical records. A conceptual framework was developed, based on Andersen's Behavioral Model, which integrates socio-demographic, clinical, needs-related and service use variables. Using cluster analysis, a typology of patient satisfaction was created. Analyses yielded four patient clusters: two where levels of satisfaction were relatively high and two with lower levels of satisfaction (range 3.74-4.37). Greater care continuity and higher income related to greater patient satisfaction; whereas co-occurring MDs and substance use disorders (SUD), as well as more numerous and severe needs, characterized dissatisfied patients who were frequent users of MHS. Results highlight the need for continuity of care and adequate socio-economic conditions for increasing patient satisfaction with MHS. Lower levels of satisfaction among patients with common MDs and SUDs suggest the importance of addressing their specific needs to enhance satisfaction and MH recovery.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 46 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 8 17%
Researcher 6 13%
Student > Doctoral Student 5 11%
Student > Ph. D. Student 5 11%
Student > Bachelor 4 9%
Other 6 13%
Unknown 12 26%
Readers by discipline Count As %
Psychology 8 17%
Social Sciences 6 13%
Nursing and Health Professions 5 11%
Unspecified 4 9%
Medicine and Dentistry 4 9%
Other 4 9%
Unknown 15 33%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 February 2018.
All research outputs
#19,201,293
of 23,794,258 outputs
Outputs from Social Psychiatry and Psychiatric Epidemiology
#2,200
of 2,534 outputs
Outputs of similar age
#361,080
of 478,130 outputs
Outputs of similar age from Social Psychiatry and Psychiatric Epidemiology
#26
of 27 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one is in the 11th percentile – i.e., 11% of other outputs scored the same or lower than it.
So far Altmetric has tracked 2,534 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 13.9. This one is in the 2nd percentile – i.e., 2% of its peers scored the same or lower than it.
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We're also able to compare this research output to 27 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.