Directions for effectiveness research to improve health services for late-life depression in the United States
Open accessAbstract
Considerable progress has been made in the treatment of late-life depression over the past 20 years, yet considerable gaps in care remain. Gaps in care are particularly pronounced for older men, certain racial and ethnic minority groups, and those with comorbid medical or mental disorders. We reviewed the peer-reviewed literature and conducted interviews with experts in late-life depression to identify promising directions for effectiveness research to address these gaps in care. We searched the PubMed, PsychInfo, and CINHAL databases between January 1, 1998, through August 31, 2013, using terms related to late-life depression and any of the following: epidemiology, services organization, economics of care, underserved groups including health disparities, impact on caregivers, and interventions. The results of this selective review supplemented by more current recommendations from national experts highlight three priority research areas to improve health services for late-life depression: focusing on the unique needs of the patient through patient-centered care and culturally sensitive care, involving caregivers outside the traditional clinical care team, and involving alternate settings of care. We build on these results to offer five recommendations for future effectiveness research that hold considerable potential to advance intervention and health services development for late-life depression.
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Internet-based depression treatment could substantially improve older adults' access to care.
“The internet offers opportunities for depression treatment that could dramatically impact older adults’ access to care (9).”
From Harnessing Peer Support in an Online Intervention for Older Adults with Depression (2017) · cites this paper as [9]
The Discussion’s recommendations for future research describe computerized and telehealth-supported therapies as ways to deliver late-life depression care and say technology is likely to assist treatment delivery. They do not specifically establish that internet-based treatment could dramatically improve older adults’ access to care; they also note a possible digital divide and call for further research. No page number is available in our copy. (LLM, conf=0.85)
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When Late-Life Depression Improves: What Do Older Patients Say About Their Treatment?
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Senior Reach Outcomes in Comparison With the Spokane Gatekeeper Program
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Flagged first, then by citations
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- [103]Phelps CE Health Economics 5th. Upper Saddle River, New Jersey Prentice Hall 2012
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Blumberger, D. M., Mulsant, B. H., Thorpe, K. E., McClintock, S. M., Konstantinou, G. N., Lee, H. H., Nestor, S. M., Noda, Y., Rajji, T. K., Trevizol, A. P., et al. (2022) · JAMA Psychiatry · doi:10.1001/jamapsychiatry.2022.2862 · Cited by 142 · see citing works
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“The internet offers opportunities for depression treatment that could dramatically impact older adults’ access to care (9).”
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de Pinho, L. G., Lopes, M. J., Correia, T., Sampaio, F., do Arco, H. M. D. S. L. R., Mendes, A. Q., Marques, M. D. C., & da Fonseca, C. J. V. (2021) · Journal of Personalized Medicine · doi:10.3390/jpm11080776 · Cited by 75 · see citing works
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Jeuring, H. W., Comijs, H. C., Deeg, D. J. H., Hoogendijk, E. O., Beekman, A. T. F., Stek, M. L., & Huisman, M. A. (2018) · Journal of Affective Disorders · doi:10.1016/j.jad.2018.02.068 · Cited by 9 · see citing works
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Nelson, K. L., & Purtle, J. (2018) · Aging & Mental Health · doi:10.1080/13607863.2018.1426719 · Cited by 8 · see citing works
Unützer, J., Vredevoogd, M. A., Hoeft, T. J., James, K., Hinton, L., Rath, L., Chen, S., Greene, M. L., Hulst, D., Jones, F., et al. (2023) · American Journal of Geriatric Psychiatry · doi:10.1016/j.jagp.2023.12.006 · Cited by 2 · see citing works
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Subsyndromal Depression in Very Old Persons
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Self-citationTreatment-resistant depression in geriatrics
Ajilore, O., Merg, A. D., & Valencia, V. A. (2022) · Elsevier eBooks · doi:10.1016/b978-0-12-824067-0.00028-1
- Authors
- Hoeft, T. J., Hinton, L., Liu, J., & Unützer, J.
- Affiliations
- University of Washington (US)
- University of California, Davis (US)
- Corresponding author
- Hoeft, Theresa J.
- Venue
- The American Journal of Geriatric Psychiatry
- Publisher
- Elsevier BV
- Published
- 2016-01
- Volume
- 24
- Issue
- 1
- Pages
- 18-30
- ISSN
- 1064-7481 (ISSN-L)
- PMC
- PMC4706767
- OpenAlex
- W1955341976
- Cited by
- 25
- References
- 102
- Citations by year
- 2026: 1 · 2024: 1 · 2023: 1 · 2022: 2 · 2021: 1 · 2019: 4 · 2018: 6 · 2017: 5 · 2016: 3 · 2015: 1
- FWCI
- 0.78
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Locations
- American Journal of Geriatric Psychiatry (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- National Institute of Mental Health (MH073553, T32MH073553)
- Topics
- Social Sciences › Psychology › Social Psychology › Mental Health Treatment and Access
- Health Sciences › Medicine › Pharmacology › Treatment of Major Depression
- Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Aging, Health, and Disability
- Keywords
- geriatric depression, effectiveness research, health services, care gaps, older men, racial and ethnic minorities, comorbidities, health disparities, caregiver involvement, patient-centered care, culturally sensitive care, economics of care
- MeSH terms
- Aged, Depression, Depressive Disorder, Humans, Mental Health Services, Research, United States, Comorbidity, Patient-Centered Care
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.
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