The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.
Community-Partnered Cluster-Randomized Comparative Effectiveness Trial of Community Engagement and Planning or Resources for Services to Address Depression Disparities
Open accessAbstract
BACKGROUND: Depression contributes to disability and there are ethnic/racial disparities in access and outcomes of care. Quality improvement (QI) programs for depression in primary care improve outcomes relative to usual care, but health, social and other community-based service sectors also support clients in under-resourced communities. Little is known about effects on client outcomes of strategies to implement depression QI across diverse sectors. OBJECTIVE: To compare the effectiveness of Community Engagement and Planning (CEP) and Resources for Services (RS) to implement depression QI on clients’ mental health-related quality of life (HRQL) and services use. DESIGN: Matched programs from health, social and other service sectors were randomized to community engagement and planning (promoting inter-agency collaboration) or resources for services (individual program technical assistance plus outreach) to implement depression QI toolkits in Hollywood-Metro and South Los Angeles. PARTICIPANTS: From 93 randomized programs, 4,440 clients were screened and of 1,322 depressed by the 8-item Patient Health Questionnaire (PHQ-8) and providing contact information, 1,246 enrolled and 1,018 in 90 programs completed baseline or 6-month follow-up. MEASURES: Self-reported mental HRQL and probable depression (primary), physical activity, employment, homelessness risk factors (secondary) and services use. RESULTS: CEP was more effective than RS at improving mental HRQL, increasing physical activity and reducing homelessness risk factors, rate of behavioral health hospitalization and medication visits among specialty care users (i.e. psychiatrists, mental health providers) while increasing depression visits among users of primary care/public health for depression and users of faith-based and park programs (each p < 0.05). Employment, use of antidepressants, and total contacts were not significantly affected (each p > 0.05). CONCLUSION: Community engagement to build a collaborative approach to implementing depression QI across diverse programs was more effective than resources for services for individual programs in improving mental HRQL, physical activity and homelessness risk factors, and shifted utilization away from hospitalizations and specialty medication visits toward primary care and other sectors, offering an expanded health-home model to address multiple disparities for depressed safety-net clients.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Kessler, R. C., Berglund, P., Demler, O., Jin, R., Merikangas, K. R., & Walters, E. E. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.6.593 · Cited by 20,391
Kessler, R. C., Chiu, W. T., Demler, O., & Walters, E. E. (2005) · Archives of General Psychiatry · doi:10.1001/archpsyc.62.6.617 · Cited by 12,052
The PHQ-9: A New Depression Diagnostic and Severity Measure
Kroenke, K., & Spitzer, R. L. (2002) · Psychiatric Annals · doi:10.3928/0048-5713-20020901-06 · Cited by 5,898 · cited 2×
“was limited to clients providing contact information and having at least mild depression (score ≥ 10 on the 8-item Patient Health Questionnaire (PHQ-8), with the same scoring characteristics and cut-point as the PHQ-9.(55) Based on community input we counted a response on either of two versions of one PHQ-8 item with…”
MethodUnützer, J., Katon, W., Callahan, C. M., Williams, Jr., Hunkeler, E., Harpole, L., Hoffing, M., Della Penna, R. D., Noël, P. H., Lin, E. H. B., et al. (2002) · JAMA · doi:10.1001/jama.288.22.2836 · Cited by 2,405
Self-citationCollaborative Care for Depression: A Cumulative Meta-analysis and Review of Longer-term Outcomes
Gilbody, S. (2006) · Archives of Internal Medicine · doi:10.1001/archinte.166.21.2314 · Cited by 1,340
Under the shadow of Tuskegee: African Americans and health care.
Gamble, V. N. (1997) · American Journal of Public Health · doi:10.2105/ajph.87.11.1773 · Cited by 1,263
On the Variances of Asymptotically Normal Estimators from Complex Surveys
Binder, D. A. (1983) · International Statistical Review / Revue Internationale de Statistique · doi:10.2307/1402588 · Cited by 982
Ethnic Disparities in Unmet Need for Alcoholism, Drug Abuse, and Mental Health Care
Wells, K., Klap, R., Koike, A., & Sherbourne, C. (2001) · American Journal of Psychiatry · doi:10.1176/appi.ajp.158.12.2027 · Cited by 773
Self-citationPatel, V., Weiss, H. A., Chowdhary, N., Naik, S., Pednekar, S., Chatterjee, S., De Silva, M. J., Bhat, B., Araya, R., King, M., et al. (2010) · The Lancet · doi:10.1016/s0140-6736(10)61508-5 · Cited by 752
Strategies for Academic and Clinician Engagement in Community-Participatory Partnered Research
Jones, L., & Wells, K. (2007) · JAMA · doi:10.1001/jama.297.4.407 · Cited by 563
Self-citation
Cited by
Kazdin, A. E. (2017) · Behaviour Research and Therapy · doi:10.1016/j.brat.2016.06.004 · Cited by 554
Woodward, E. N., Matthieu, M. M., Uchendu, U. S., Rogal, S., & Kirchner, J. E. (2019) · Implementation Science · doi:10.1186/s13012-019-0861-y · Cited by 470
Community Interventions to Promote Mental Health and Social Equity
Castillo, E. G., Ijadi-Maghsoodi, R., Shadravan, S., Moore, E., Mensah, M. O., Docherty, M., Aguilera Nunez, M. G., Barcelo, N., Goodsmith, N., Halpin, L. E., et al. (2019) · Current Psychiatry Reports · doi:10.1007/s11920-019-1017-0 · Cited by 387
Self-citationXu, Z., Huang, F., Kösters, M., Staiger, T., Becker, T., Thornicroft, G., & Rüsch, N. (2018) · Psychological Medicine · doi:10.1017/s0033291718001265 · Cited by 252
Kroenke, K., & Unutzer, J. (2017) · Journal of General Internal Medicine · doi:10.1007/s11606-016-3967-9 · Cited by 231
Metadata
- Authors
- Wells, K. B., Jones, L., Chung, B., Dixon, E. L., Tang, L., Gilmore, J., Sherbourne, C., Ngo, V. K., Ong, M. K., Stockdale, S., Ramos, E., Belin, T. R., & Miranda, J.
- Venue
- Journal of General Internal Medicine
- Published
- 2013-05-07
- Volume
- 28
- Issue
- 10
- Pages
- 1268-1278
- ISSN
- 0884-8734 (ISSN-L)
- 1525-1497
- OpenAlex
- W2073911868
- Cited by
- 197
- References
- 13
- FWCI
- 26.54
- Type
- journal article
- Language
- en
- Open access
- hybrid
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Community-Partnered Cluster-Randomized Comparative Effectiveness Trial of Community Engagement and Planning or Resources for Services to Address Depression Disparities. https://app.cochat.ai/papers/10.1007/s11606-013-2484-3
- The paper
- Wells, K. B., Jones, L., Chung, B., Dixon, E. L., Tang, L., Gilmore, J., Sherbourne, C., Ngo, V. K., Ong, M. K., Stockdale, S., Ramos, E., Belin, T. R., & Miranda, J. (2013). Community-Partnered Cluster-Randomized Comparative Effectiveness Trial of Community Engagement and Planning or Resources for Services to Address Depression Disparities. Journal of General Internal Medicine. https://doi.org/10.1007/s11606-013-2484-3
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.