Costs of a Brief Alcohol Consumption Reduction Intervention for Persons Living with HIV in Southwestern Uganda: Comparisons of Live Versus Automated Cell Phone-Based Booster Components
Open accessAbstract
Low-cost interventions are needed to reduce alcohol use among persons with HIV (PWH) in low-income settings. Brief alcohol interventions hold promise, and technology may efficiently deliver brief intervention components with high frequency. We conducted a costing study of the components of a randomized trial that compared a counselling-based intervention with two in-person one-on-one sessions supplemented by booster sessions to reinforce the intervention among PWH with unhealthy alcohol use in southwest Uganda. Booster sessions were delivered twice weekly by two-way short message service (SMS) or Interactive Voice Response (IVR), i.e. via technology, or approximately monthly via live calls from counsellors. We found no significant intervention effects compared to the control, however the cost of the types of booster sessions differed. Start up and recurring costs for the technology-delivered booster sessions were 2.5 to 3 times the cost per participant of the live-call delivered booster intervention for 1000 participants. These results suggest technology-based interventions for PWH are unlikely to be lower cost than person-delivered interventions unless they are at very large scale.
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
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.
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
Two studies conducted a cost-effectiveness analysis of BI in Uganda and South Africa.
“Two studies conducted a cost-effectiveness analysis of BI in Uganda [115] and South Africa [116]).”
From A scoping review of substance use brief interventions in Africa (2024) · cites this paper as [115]
The Uganda study reports an intervention costing analysis, not a cost-effectiveness analysis. In Discussion > Limitations, the authors explicitly say they were unable to assess cost-effectiveness because the main trial found no statistically significant effects. The separate South Africa citation is not assessed here. (LLM, conf=0.95)
Checked by a reasoning model — may be wrong.
Experimental — accuracy not yet measuredThe authors found no significant intervention effects compared to the control.
“The authors found no significant intervention effects compared to the control.”
From A scoping review of substance use brief interventions in Africa (2024) · cites this paper as [115]
The Abstract says there were no significant intervention effects compared with the control, and the Discussion’s Limitations section likewise describes a lack of statistically significant effects in the main trial. However, the Introduction reports significant effects for each intervention arm on self-reported drinking days, while reporting no effects on PEth or viral suppression. The unqualified claim therefore overlooks a significant outcome reported in the same paper. (LLM, conf=0.88)
Experimental — accuracy not yet measuredCosts for the technology-delivered booster sessions were 2.5 to 3 times the cost per participant of the live-call delivered booster intervention for 1000 participants.
“Costs for the technology-delivered booster sessions were 2.5 to 3 times the cost per participant of the live-call delivered booster intervention for 1000 participants [115].”
From A scoping review of substance use brief interventions in Africa (2024) · cites this paper as [115]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Jonas, D. E., Garbutt, J. C., Amick, H. R., Brown, J. M., Brownley, K. A., Council, C. L., Viera, A. J., Wilkins, T. M., Schwartz, C. J., Richmond, E. M., et al. (2012) · Annals of Internal Medicine · doi:10.7326/0003-4819-157-9-201211060-00544 · Cited by 387 · see citing works
Kaner, E. F., Beyer, F. R., Garnett, C., Crane, D., Brown, J., Muirhead, C., Redmore, J., O'Donnell, A., Newham, J. J., de Vocht, F., et al. (2017) · Cochrane Database of Systematic Reviews · doi:10.1002/14651858.cd011479.pub2 · Cited by 308 · see citing works
Williams, E. C., Hahn, J. A., Saitz, R., Bryant, K., Lira, M. C., & Samet, J. H. (2016) · Alcoholism: Clinical and Experimental Research · doi:10.1111/acer.13204 · Cited by 294 · see citing works
Self-citationA Systematic Review of the mHealth Interventions to Prevent Alcohol and Substance Abuse
Kazemi, D. M., Borsari, B., Levine, M. J., Li, S., Lamberson, K. A., & Matta, L. A. (2017) · Journal of Health Communication · doi:10.1080/10810730.2017.1303556 · Cited by 255 · see citing works
Sankoh, O. A., Sevalie, S., & Weston, M. (2018) · The Lancet Global Health · doi:10.1016/s2214-109x(18)30303-6 · Cited by 216 · see citing works
Nadkarni, A., Weobong, B., Weiss, H. A., McCambridge, J., Bhat, B., Katti, B., Murthy, P., King, M., McDaid, D., Park, A.-L., et al. (2017) · The Lancet · doi:10.1016/s0140-6736(16)31590-2 · Cited by 187 · see citing works
Witkiewitz, K. A., Hallgren, K. A., Kranzler, H. R., Mann, K. F., Hasin, D. S., Falk, D. E., Litten, R. Z., O’Malley, S. S., & Anton, R. F. (2016) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.13272 · Cited by 155 · see citing works
The MASH Research Team, Scott-Sheldon, L. A. J., Carey, K. B., Johnson, B. T., & Carey, M. P. (2017) · AIDS and Behavior · doi:10.1007/s10461-017-1886-3 · Cited by 133 · see citing works
Demena, B. A., Artavia-Mora, L., Ouedraogo, D., Thiombiano, B. A., & Wagner, N. (2020) · AIDS Patient Care and STDs · doi:10.1089/apc.2019.0181 · Cited by 102 · see citing works
Recommended Use of Terminology in Addiction Medicine
Saitz, R., Miller, S. C., Fiellin, D. A., & Rosenthal, R. N. (2020) · Journal of Addiction Medicine · doi:10.1097/adm.0000000000000673 · Cited by 92 · see citing works
Chander, G., Hutton, H. E., Lau, B., Xu, X., & McCaul, M. E. (2015) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/qai.0000000000000679 · Cited by 83 · see citing works
Alcohol Use and the Risk of Communicable Diseases
Morojele, N. K., Shenoi, S., Shuper, P. A., Braithwaite, R. S., & Rehm, J. T. (2021) · Nutrients · doi:10.3390/nu13103317 · Cited by 75 · see citing works
Bendtsen, M., McCambridge, J., Åsberg, K., & Bendtsen, P. (2021) · Addiction · doi:10.1111/add.15294 · Cited by 71 · see citing works
Madhombiro, M., Musekiwa, A., January, J., Chingono, A., Abas, M., & Seedat, S. (2019) · Systematic Reviews · doi:10.1186/s13643-019-1176-4 · Cited by 57 · see citing works
Woolf‐King, S. E., Steinmaus, C., Reingold, A. L., & Hahn, J. A. (2013) · The International Journal of Alcohol and Drug Research · doi:10.7895/ijadr.v2i1.45 · Cited by 42 · see citing works
Self-citationGo, V. F.-L., Hutton, H. E., Hà, T. V., Chander, G., Latkin, C. A., Mai, N. V. T., Quynh, B. X., Nguyen, V. Q. C., Sripaipan, T., Lancaster, K. E., et al. (2020) · JAMA Network Open · doi:10.1001/jamanetworkopen.2020.17115 · Cited by 41 · see citing works
Duthely, L. M., & Covarrubias, A. P. S. (2020) · Frontiers in Communication · doi:10.3389/fcomm.2020.530164 · Cited by 25 · see citing works
Hahn, J. A., Fatch, R., Emenyonu, N. I., Sanyu, N., Katusiime, A., Levine, B., John Boscardin, W., Chander, G., Hutton, H., Camlin, C. S., et al. (2023) · Drug and Alcohol Dependence · doi:10.1016/j.drugalcdep.2023.109783 · Cited by 22 · see citing works
Self-citationBlackburn, N. A., Go, V. F.-L., Bui, Q., Hutton, H. E., Tampi, R. P., Sripaipan, T., Hà, T. V., Latkin, C. A., Golden, S. D., Golin, C. E., et al. (2021) · AIDS and Behavior · doi:10.1007/s10461-020-03139-y · Cited by 13 · see citing works
Leddy, A. M., Hahn, J. A., Getahun, M., Emenyonu, N. I., Woolf‐King, S. E., Sanyu, N., Katusiime, A., Fatch, R., Chander, G., Hutton, H. E., et al. (2021) · AIDS and Behavior · doi:10.1007/s10461-021-03186-z · Cited by 13 · see citing works
Self-citationBraithwaite, R. S., Nucifora, K. A., Kessler, J., Toohey, C., Li, L., Mentor, S. M., Uhler, L. M., Roberts, M. S., Galvani, A. P., & BRYANT, K. J. (2014) · JAIDS Journal of Acquired Immune Deficiency Syndromes · doi:10.1097/qai.0000000000000140 · Cited by 12 · see citing works
Targeting an Alcohol Intervention Cost‐Effectively to Persons Living with HIV / AIDS in East Africa
Kessler, J., Ruggles, K. V., Patel, A. R., Nucifora, K. A., Li, L., Roberts, M. S., BRYANT, K. J., & Braithwaite, R. S. (2015) · Alcoholism Clinical and Experimental Research · doi:10.1111/acer.12890 · Cited by 10 · see citing works
Blackburn, N. A., Go, V. F.-L., Bui, Q., Hutton, H. E., Tampi, R. P., Sripaipan, T., Hà, T. V., Latkin, C. A., Golden, S. D., Golin, C. E., et al. (2020) · Global Health Action · doi:10.1080/16549716.2020.1814035 · Cited by 10 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
A scoping review of substance use brief interventions in Africa
Jaguga, F., Kiburi, S. K., Temet, E., Aalsma, M. C., Ott, M. A., Maina, R. W., Wachira, J., Mostert, C., Kosgei, G., Tenge, A., et al. (2024) · PLOS Global Public Health · doi:10.1371/journal.pgph.0003340 · Cited by 10 · see citing works
Asiimwe, S. B., Kekibiina, A., Woolf‐King, S. E., Fatch, R., Emenyonu, N. I., & Hahn, J. A. (2024) · AIDS and Behavior · doi:10.1007/s10461-024-04377-0 · Cited by 1 · see citing works
Self-citationLancaster, K. E., Bula, A. K., Matoga, M., Hosseinipour, M. C., Hoffman, I., Grullon, J. A., Umar, E., Msolola, J., Magidson, J. F., Bonumwezi, J., et al. (2025) · Frontiers in Public Health · doi:10.3389/fpubh.2025.1572288
Self-citationKasoka, J., Ng’ambi, W. F., Adoration, C., & Zyambo, C. M. (2026) · International Journal of Noncommunicable Diseases · doi:10.4103/jncd.jncd_184_25
- Authors
- Hahn, J. A., Kevany, S., Emenyonu, N. I., Sanyu, N., Katusiime, A., Muyindike, W. R., Fatch, R., & Shade, S. B.
- Affiliations
- University of California, San Francisco (US)
- University of Leeds (GB)
- Mbarara University of Science and Technology (UG)
- Corresponding author
- Hahn, Judith A.
- ORCID
- Venue
- AIDS and Behavior
- Published
- 2023-02-20
- Volume
- 27
- Issue
- 9
- Pages
- 2865-2874
- ISSN
- 1090-7165 (ISSN-L)
- 1573-3254
- PMC
- PMC10386919
- OpenAlex
- W4321478469
- Cited by
- 4
- References
- 23
- Citations by year
- 2026: 1 · 2025: 1 · 2024: 2
- FWCI
- 0.80
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- AIDS and Behavior (publishedVersion, cc-by)
- PubMed Central (publishedVersion, cc-by)
- PubMed (publishedVersion)
- eScholarship (California Digital Library) (submittedVersion, cc-by)
- Funders
- National Institute on Alcohol Abuse and Alcoholism (R01 AA024990, K24 AA024586)
- Topics
- Health Sciences › Medicine › Epidemiology › Substance Abuse Treatment and Outcomes
- Health Sciences › Health Professions › General Health Professions › Mobile Health and mHealth Applications
- Health Sciences › Medicine › Epidemiology › HIV, Drug Use, Sexual Risk
- Keywords
- alcohol consumption reduction, people living with HIV, brief alcohol intervention, booster sessions, technology-based interventions, interactive voice response, short message service, intervention costs, low-cost interventions, Uganda
- MeSH terms
- Alcohol Drinking, Crisis Intervention, Humans, Uganda, HIV Infections, Text Messaging
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