| Literature DB >> 25108396 |
Alexandra Shepherd, Bianca Perrella, Hendrika Laetitia Hattingh1.
Abstract
BACKGROUND: Opioid substitution therapy (OST) programs involve the dispensing of OST medicines to patients to address their dependence on heroin and/or other opioid substances. OST medicines are subsidised by the Australian government but patients need to pay the dispensing fees. This study explored opinions from OST patients and stakeholders about the potential impact of dispensing fees on compliance and OST program retention. Current and past experiences and the potential impact of OST dispensing fees were evaluated.Entities:
Mesh:
Year: 2014 PMID: 25108396 PMCID: PMC4136401 DOI: 10.1186/1747-597X-9-32
Source DB: PubMed Journal: Subst Abuse Treat Prev Policy ISSN: 1747-597X
Interview data of the factors influencing patient drop-outs from OST program with selected quotes to support themes
| Financial burden | |
| Relapse | |
| Lack of support | |
| Insufficient take-away doses - eg. mine workers | |
| Pharmacy discrimination | |
| Limiting daily life | |
| Inadequate preparation | The length of the program … |
| Rural location |
Survey data of the impact of dispensing fees on lifestyle and debt of OST patients
| | ||||
|---|---|---|---|---|
Note: Numbers in the cells are the percentages of responses within the rows of the table.
Chi-square analysis performed for cross tabulation, p-value <0.001. This illustrates a positive correlation between debt and lifestyle impacts from patient surveys.
Figure 1Survey data of factors impacting on OST patients’ success in the program (n = 138).
Survey data factors influencing impact on debt and lifestyle: logistic regression analyses of these two dependent variables
| Being in debt | Cost impact | | | | |
| | No | 4/35 (11.4) | 1 (reference) | | |
| | Yes | 30/52 (57.7) | 10.6 | 3.3 to 34.3 | <0.0001 |
| Lifestyle difficulties | Cost impact | | | | |
| | No | 10/30 (33.3) | 1 (reference) | | |
| | Yes | 48/60 (80.0) | 6.6 | 2.3 to 18.9 | 0.0004 |
| | Employed | | | | |
| | No | 8/22 (36.4) | 1 (reference) | | |
| Yes | 46/63 (73.0) | 3.5 | 1.1 to 10.9 | 0.0308 |
*n/N shows the number of cases with a ‘significant impact’ response for each outcome, out of the total number in the row.
Logistic regression models used.