Conceptual Models of Depression in Primary Care Patients
A Comparative Study
Bibliographic Data
| ID | 2314176 |
|---|---|
| Authors | Alison Karasz (0000-0003-3038-2751, Albert Einstein College of Medicine/Montefiore Medical Center,, corresponding author), Nerina Garcia (Bellevue Hospital), Lucia Ferri (0000-0002-3889-6282, Albert Einstein College of Medicine/Montefiore Medical Center) |
| Year | 2009 |
| Volume | 40 |
| Issue | 6 |
| Pages | 1041-1059 |
| Publication date | 2009-11-01 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Cross-Cultural Psychology (JOURNAL) |
| Journal identifiers | ISSN: 0022-0221 • E-ISSN: 1552-5422 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/0022022109348782 |
| PMID | 20182550 |
| PMCID | PMC2826847 |
| OpenAlex | W2154179508 |
| Language | EN |
| Citations received | 11 |
| References cited | 31 |
Conventional psychiatric treatment models are based on a biopsychiatric model of depression. A plausible explanation for low rates of depression treatment utilization among ethnic minorities and the poor is that members of these communities do not share the cultural assumptions underlying the biopsychiatric model. The study examined conceptual models of depression among depressed patients from various ethnic groups, focusing on the degree to which patients' conceptual models "matched" a biopsychiatric model of depression. The sample included 74 primary care patients from three ethnic groups screening positive for depression. The authors administered qualitative interviews assessing patients' conceptual representations of depression. The analysis proceeded in two phases. The first phase involved a strategy called "quantitizing" the qualitative data. A rating scheme was developed and applied to the data by a rater blind to study hypotheses. The data were subjected to statistical analyses. The second phase of the analysis involved the analysis of thematic data using standard qualitative techniques. Study hypotheses were largely supported. The qualitative analysis provided a detailed picture of primary care patients' conceptual models of depression and suggested interesting directions for future research
Conceptual model · Depression (economics · Family medicine · Physics · Primary (astronomy · Primary care · Psychiatry · Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes · Child and Adolescent Psychosocial and Emotional Development · Computer Science · Medicine · Mental Health Treatment and Access · Psychology
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| Citations per year | 0.85 |
|---|---|
| Citation span | 2013 - 2024 (12) |
| Highly cited | No |