Improvement in quality of life with buprenorphine in opioid dependence

Kapoor, Abhinav; Kohli, Kanchan; Sarma, Phulen; Kapoor, Abhishek; Jose, Nimmi A

doi:10.5455/njppp.2019.9.0419224052019

Cited by 4 publications

(10 citation statements)

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“…The majority (56%) reported a family income within the range of ₹3,908-11,707 (47-140 USD), with 21% earning ₹11,708-19,515 (140-234 USD) and 12% earning ≤₹3,907 (47 USD). This aligns with the findings of Kapoor et al [18], where a significant portion of participants had a monthly income of less than ₹3500. These income disparities highlight socioeconomic factors that may significantly impact the ability to access and afford addiction treatment services.…”

Section: Discussionsupporting

confidence: 92%

“…Furthermore, when comparing our study to prior research, variations in the age of subjects emerge. In the study conducted by Habrat et al, the mean age of participants was documented as 33.9 ± 5.95 years, while Kapoor et al in 2015 reported a mean age of 39.11 ± 8.31 years [17,18]. In our investigation, the mean age of the study population at the time of enrollment was 35.3 ± 11 years.…”

Section: Discussionsupporting

confidence: 40%

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Navigating Adherence: Unraveling Factors Shaping Opioid Substitution Therapy Compliance

Yadav,

Kumar,

Singh

et al. 2024

Cureus

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Background and objectiveIn drug-deaddiction programs, dropout is a major problem in any drug de-addiction program, as dependence is a chronic illness known to relapse frequently. Understanding factors that predict dropout can help design targeted interventions to promote follow-up. This study aimed to assess the various sociodemographic characteristics of opioid-dependent subjects on buprenorphine maintenance treatment and dropping out at or before the three-month follow-up period. MethodIn this study, the sociodemographic characteristics and quality of life (QOL) of 34 opioid-dependent subjects (males, 32, 94%; females, 2, 6%) on the day of their enrolment in an opioid substitution therapy (OST) center were assessed, and a comparison of sociodemographic and drug use pattern was made between those who followed up and those who dropped out by the end of three months. ResultsStatistical analysis of the various sociodemographic characteristics using appropriate tests yielded that predictors of good follow-up are younger age (F = 4.57907, P = 0.04008), better education (F = 5.07221, P = 0.031305), and being part of a nuclear family. Longer follow-up was associated with shorter opioid intake duration (F = 8.58908, P = 0.006195). Better social relationships, as evidenced by the social relationship domain score of QOL, predicted longer follow-up (F = 8.58908, P = 0.006195). Other characteristics analyzed did not yield significant associations. ConclusionsThe study unveils the complexity of opioid addiction recovery, revealing the interplay of age, education, family, addiction duration, and support, shaping one's resilience in recovery.

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Section: Discussionsupporting

confidence: 92%

Section: Discussionsupporting

confidence: 40%

Navigating Adherence: Unraveling Factors Shaping Opioid Substitution Therapy Compliance

Yadav,

Kumar,

Singh

et al. 2024

Cureus

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“…Other studies have found that methadone treatment produced initial improvements in QoL; however, other factors, such as age of greater than 50 years and a positive human immunodeficiency virus (HIV) status had a negative effect [ 29 ]. Still, a few studies found rates of QoL increased and did not report decreases [ 30 , 31 , 32 ]. Even with slight differences in results, the research supports that QoL is lower among people with OUD than with the general population [ 27 , 33 ] and people with other chronic illnesses [ 34 ].…”

Section: Introductionmentioning

confidence: 99%

Sociodemographic and Clinical Characteristics Associated with Improvements in Quality of Life for Participants with Opioid Use Disorder

et al. 2022

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Background: The Houston Emergency Opioid Engagement System was established to create an access pathway into long-term recovery for individuals with opioid use disorder. The program determines effectiveness across multiple dimensions, one of which is by measuring the participant’s reported quality of life (QoL) at the beginning of the program and at successive intervals. Methods: A visual analog scale was used to measure the change in QoL among participants after joining the program. We then identified sociodemographic and clinical characteristics associated with changes in QoL. Results: 71% of the participants (n = 494) experienced an increase in their QoL scores, with an average improvement of 15.8 ± 29 points out of a hundred. We identified 10 factors associated with a significant change in QoL. Participants who relapsed during treatment experienced minor increases in QoL, and participants who attended professional counseling experienced the largest increases in QoL compared with those who did not. Conclusions: Insight into significant factors associated with increases in QoL may inform programs on areas of focus. The inclusion of counseling and other services that address factors such as psychological distress were found to increase participants’ QoL and success in recovery.

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“…Finally, 15 articles were included in the systematic review. Characteristics of the Literature Among the 15 eligible articles for the systematic review, 14 studies were published after 2004, demonstrating recent valid results [30][31][32][33][34][35][36][37][38][39][40][41][42][43]. Five articles were from Australia four articles from Europe and six articles from Asia [30][31][32][33][34][35][36][37][38][39][40][41][42][43][44].…”

Section: Literature Search Resultsmentioning

confidence: 98%

“…Seven articles conducted randomised controlled trials two were cross-sectional studies two were cohort studies one was an observational study one was a prospective study one was a retrospective study and one was a longitudinal study [30][31][32][33][34][35][36][37][38][39][40][41][42][43][44].…”

Section: Literature Search Resultsmentioning

confidence: 99%

The Use of the Severity Dependence Scale (SDS) as an Outcome in Studies of Alcohol and Other Drug Use a Systematic Review

Jang,

Gallagher

2024

J Drug Addi Ther

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Introduction: The Severity Dependence Scale (SDS) is a validated measure of the severity of dependence on alcohol or drugs. SDS scores can be used to guide treatment planning, monitor progress, and evaluate treatment outcomes. Objectives: We aimed to review studies that analysed SDS as an outcome in studies of alcohol and drug use (AoD), with a particular focus on the methodology used to examine the changes in SDS. Methods: The search was performed using the literature databases Embase, PubMed and Medline. Articles were included when the outcome was SDS in AoD. Studies that examined SDS, but not among the AoD population, studies that reported SDS as predictors, qualitative research, study protocols, conference papers, and studies in non-English language were excluded. Results: Among 179 articles identified, 15 were included in the systematic review. Two studies conducted cannabis research, two for methamphetamine, one for cannabis and amphetamine, one for cocaine, one for ketamine, one for ecstasy and seven for general illicit drugs. Out of 15 studies, ten used the t-test for statistical analysis of the SDS, one used a generalised estimating equation, one used a Spearman non-parametric test, and one used a linear mixed model, one reported the baseline score for the SDS and did not report the SDS at follow-up, one reported a descriptive analysis of the SDS. Conclusions: In the absence of a standardised cut-off score and a minimal important difference, more attention should be paid in analysing the discrete scale of the SDS to ensure analysis accuracy.

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Improvement in quality of life with buprenorphine in opioid dependence

Cited by 4 publications

References 0 publications

Navigating Adherence: Unraveling Factors Shaping Opioid Substitution Therapy Compliance

Navigating Adherence: Unraveling Factors Shaping Opioid Substitution Therapy Compliance

Sociodemographic and Clinical Characteristics Associated with Improvements in Quality of Life for Participants with Opioid Use Disorder

The Use of the Severity Dependence Scale (SDS) as an Outcome in Studies of Alcohol and Other Drug Use a Systematic Review

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