Evidence map›Paper›PMID 41557718›Full record

ArticlePloS one2026

Patient preferences for incentives in Contingency Management interventions in methadone treatment: A best-worst scale analysis.

Thuy Thi Dieu Dao, Hue Thi Nguyen, Trang Thu Nguyen, Thuyet Thi Phung, Van Hai Hoang, Huong Thi Le, Brian W Pence, Giang Minh Le, Vivian F Go, William C Miller

Abstract read
In one paragraph

Article in PloS one, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

10 authors.

Thuy Thi Dieu DaoCenter for Training and Research on Substance Abuse and HIV, Hanoi Medical University, Hanoi, Vietnam.ORCID https://orcid.org/0000-0003-2633-110X
Hue Thi NguyenCenter for Training and Research on Substance Abuse and HIV, Hanoi Medical University, Hanoi, Vietnam.
Trang Thu NguyenCenter for Training and Research on Substance Abuse and HIV, Hanoi Medical University, Hanoi, Vietnam.ORCID https://orcid.org/0000-0003-3261-2098
Thuyet Thi PhungHanoi Center for Disease Control and Prevention, Hanoi, Vietnam.
Van Hai HoangCenter for Training and Research on Substance Abuse and HIV, Hanoi Medical University, Hanoi, Vietnam.ORCID https://orcid.org/0000-0001-5913-612X
Huong Thi LeInstitute of Preventive Medicine and Public Health, Hanoi Medical University, Hanoi, Vietnam.
Brian W PenceDepartment of Epidemiology, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina, United States of America.
Giang Minh LeCenter for Training and Research on Substance Abuse and HIV, Hanoi Medical University, Hanoi, Vietnam.
Vivian F GoDepartment of Health Behavior, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina, United States of America.
William C MillerDepartment of Epidemiology, University of North Carolina-Chapel Hill, Chapel Hill, North Carolina, United States of America.ORCID https://orcid.org/0000-0002-1934-7827

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundContingency management (CM) effectively enhances adherence and retention in methadone maintenance treatment (MMT). But implementing CM in resource-limited settings is challenging, particularly due to costs associated with providing incentives. In this study, we aimed to describe and quantify patient preferences regarding low-cost CM incentives to promote adherence and retention in MMT.

methodsWe conducted a cross-sectional survey using a best-worst scale (case 1) among 216 participants ages 18 or older undergoing MMT in six clinics in Hanoi, Vietnam. The study asked participants to complete 13 sets of best-worst scaling tasks. Each task presented a subset of four incentives chosen from a total of 13 incentives. Net scores for each incentive were calculated by subtracting the total times an incentive was rated as least appealing from the total times it was rated as most appealing. Standardized scores were derived by dividing the net score by the sum of selections and then converted to weighted probabilities (WP) that ranged from 0% to 100% (example interpretation: an incentive with WP of 20% is twice as desired as an incentive with WP of 10%). The 95% confidence intervals (95% CI) were estimated using bootstrapping.

resultsThe mean age of participants was 44.7 (SD = 8.0, range: 25-66). Most were male (95%), married (59%), and had not completed high school (69%). About half (50%) had been on methadone treatment for more than five years. The most preferred incentives were "discount for monthly methadone fees" (WP = 16.9, 95% CI: 16.0, 17.8) and "take-home methadone privileges" (WP = 11.3, 95% CI: 10.1, 12.6), followed by "priority coupons for early medical examinations/consultations". In contrast, the least preferred incentives were "being recognized/praised in their community" (WP = 4.5, 95% CI: 4.0, 5.0) and "being recognized/praised at their clinic" (WP = 4.7, 95% CI: 4.1, 5.4).

conclusionsTreatment fee support, take-home methadone privilege, and coupons for prioritizing checkup at clinics emerged as the most desirable incentives for patients. We recommend future CM intervention may consider using these incentives as the first-line rewards to offer to reinforce treatment adherence and retention in methadone treatment. These findings suggest potential low-cost CM strategies that could inform decision-making in MMT programs.

Indexed as

MethadoneMotivationOpiate Substitution TreatmentPatient PreferenceAdherence InterventionsAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedVietnamMethadone

Identifiers

PMID41557718
PMCPMC12818641

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.