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Ally MZ, Woods H, Adekoya I, Bali A, Persaud N. Acceptability of a short list of essential medicines to patients and prescribers: Multimethod study. CANADIAN FAMILY PHYSICIAN MEDECIN DE FAMILLE CANADIEN 2022; 68:e204-e214. [PMID: 35831082 PMCID: PMC9842143 DOI: 10.46747/cfp.6807e204] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 01/28/2023]
Abstract
OBJECTIVE To determine the acceptability of providing free access to only a short list of medicines used in the Carefully seLected and Easily Accessible at No charge Medications (CLEAN Meds) trial. DESIGN A multimethod explanatory sequential design including interviews with trial participants and focus groups with prescribers. SETTING Ontario. PARTICIPANTS Participants in the intervention arm of the CLEAN Meds trial and primary care providers who prescribed medicines to those in the intervention arm of the trial. MAIN OUTCOME MEASURES The number of trial participants in each prescription category (ie, prescribed no off-list medicine, prescribed 1 off-list medicine, or prescribed 2 or more off-list medicines) and the acceptability of the list to both participants and prescribers. RESULTS There were 395 participants in the intervention group of the CLEAN Meds trial, but 16 participants withdrew consent or were not prescribed any medicines during the first 12 months of the trial, resulting in a total of 379 participants in the quantitative component of this study. Of the 2648 total prescriptions, 2349 (89%) were for medications that were on or had an equivalent covered by the list. Random sampling was used to select 5 participants to interview from each prescription category. A total of 19 prescribers participated in the focus groups. Themes from participant interviews included the following: having access to medicines on the list was a relief, participants trusted health care professionals to switch medicines and to decide which medicines should be on a publicly funded list, and a short list of essential medicines should be publicly funded. Major themes from the prescribers' focus groups related to the process of developing the list, support for the list, and publicly funding a short list of essential medicines in Canada. CONCLUSION The consensus among trial participants and prescribers is that the short list of medicines used in the trial is comprehensive and provides access to medicines commonly prescribed.
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Affiliation(s)
- Muhamad Z. Ally
- Former research student at MAP Centre for Urban Health Solutions at St Michael's Hospital as part of Unity Health Toronto in Ontario
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Persaud N, Bedard M, Boozary A, Glazier RH, Gomes T, Hwang SW, Juni P, Law MR, Mamdani M, Manns B, Martin D, Morgan SG, Oh P, Pinto AD, Shah BR, Sullivan F, Umali N, Thorpe KE, Tu K, Laupacis A. Adherence at 2 years with distribution of essential medicines at no charge: The CLEAN Meds randomized clinical trial. PLoS Med 2021; 18:e1003590. [PMID: 34019540 PMCID: PMC8139488 DOI: 10.1371/journal.pmed.1003590] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/25/2020] [Accepted: 03/19/2021] [Indexed: 11/23/2022] Open
Abstract
BACKGROUND Adherence to medicines is low for a variety of reasons, including the cost borne by patients. Some jurisdictions publicly fund medicines for the general population, but many jurisdictions do not, and such policies are contentious. To our knowledge, no trials studying free access to a wide range of medicines have been conducted. METHODS AND FINDINGS We randomly assigned 786 primary care patients who reported not taking medicines due to cost between June 1, 2016 and April 28, 2017 to either free distribution of essential medicines (n = 395) or to usual medicine access (n = 391). The trial was conducted in Ontario, Canada, where hospital care and physician services are publicly funded for the general population but medicines are not. The trial population was mostly female (56%), younger than 65 years (83%), white (66%), and had a low income from wages as the primary source (56%). The primary outcome was medicine adherence after 2 years. Secondary outcomes included control of diabetes, blood pressure, and low-density lipoprotein (LDL) cholesterol in patients taking relevant treatments and healthcare costs over 2 years. Adherence to all appropriate prescribed medicines was 38.7% in the free distribution group and 28.6% in the usual access group after 2 years (absolute difference 10.1%; 95% confidence interval (CI) 3.3 to 16.9, p = 0.004). There were no statistically significant differences in control of diabetes (hemoglobin A1c 0.27; 95% CI -0.25 to 0.79, p = 0.302), systolic blood pressure (-3.9; 95% CI -9.9 to 2.2, p = 0.210), or LDL cholesterol (0.26; 95% CI -0.08 to 0.60, p = 0.130) based on available data. Total healthcare costs over 2 years were lower with free distribution (difference in median CAN$1,117; 95% CI CAN$445 to CAN$1,778, p = 0.006). In the free distribution group, 51 participants experienced a serious adverse event, while 68 participants in the usual access group experienced a serious adverse event (p = 0.091). Participants were not blinded, and some outcomes depended on participant reports. CONCLUSIONS In this study, we observed that free distribution of essential medicines to patients with cost-related nonadherence substantially increased adherence, did not affect surrogate health outcomes, and reduced total healthcare costs over 2 years. TRIAL REGISTRATION ClinicalTrials.gov NCT02744963.
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Affiliation(s)
- Nav Persaud
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Department of Family and Community Medicine, St Michael's Hospital, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Michael Bedard
- Department of Family Medicine, Northern Ontario School of Medicine, Sudbury, Ontario, Canada
| | - Andrew Boozary
- Department of Health Policy and Management, Harvard School of Public Health, Boston, Massachusetts, United States of America
| | - Richard H Glazier
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Department of Family and Community Medicine, St Michael's Hospital, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
| | - Tara Gomes
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada
- Applied Health Research Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Stephen W Hwang
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Peter Juni
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Michael R Law
- Centre for Health Services and Policy Research, School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Muhammad Mamdani
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Centre for Healthcare Analytics Research and Training at St Michael's Hospital and Vector Institute, Toronto, Ontario, Canada
| | - Braden Manns
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- O'Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Danielle Martin
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- Women's College Hospital Institute for Health Systems Solutions and Virtual Care, Women's College Hospital, Toronto, Ontario, Canada
| | - Steven G Morgan
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Paul Oh
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada
| | - Andrew D Pinto
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Baiju R Shah
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Frank Sullivan
- Department of Research and Innovation, North York General Hospital, Toronto, Ontario, Canada
- Division of Population and Behavioral Science, University of St Andrews, Scotland
| | - Norman Umali
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
| | - Kevin E Thorpe
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Applied Health Research Centre, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Karen Tu
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Department of Research and Innovation, North York General Hospital, Toronto, Ontario, Canada
| | - Andreas Laupacis
- Li Ka Shing Knowledge Institute, St. Michael's Hospital, Unity Health Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
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Cross AJ, Elliott RA, Petrie K, Kuruvilla L, George J. Interventions for improving medication-taking ability and adherence in older adults prescribed multiple medications. Cochrane Database Syst Rev 2020; 5:CD012419. [PMID: 32383493 PMCID: PMC7207012 DOI: 10.1002/14651858.cd012419.pub2] [Citation(s) in RCA: 48] [Impact Index Per Article: 12.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/12/2022]
Abstract
BACKGROUND Older people taking multiple medications represent a large and growing proportion of the population. Managing multiple medications can be challenging, and this is especially the case for older people, who have higher rates of comorbidity and physical and cognitive impairment than younger adults. Good medication-taking ability and medication adherence are necessary to ensure safe and effective use of medications. OBJECTIVES To evaluate the effectiveness of interventions designed to improve medication-taking ability and/or medication adherence in older community-dwelling adults prescribed multiple long-term medications. SEARCH METHODS We searched MEDLINE, Embase, Cochrane Central Register of Controlled Trials (CENTRAL), PsycINFO, CINAHL Plus, and International Pharmaceutical Abstracts from inception until June 2019. We also searched grey literature, online trial registries, and reference lists of included studies. SELECTION CRITERIA We included randomised controlled trials (RCTs), quasi-RCTs, and cluster-RCTs. Eligible studies tested interventions aimed at improving medication-taking ability and/or medication adherence among people aged ≥ 65 years (or of mean/median age > 65 years), living in the community or being discharged from hospital back into the community, and taking four or more regular prescription medications (or with group mean/median of more than four medications). Interventions targeting carers of older people who met these criteria were also included. DATA COLLECTION AND ANALYSIS Two review authors independently reviewed abstracts and full texts of eligible studies, extracted data, and assessed risk of bias of included studies. We conducted meta-analyses when possible and used a random-effects model to yield summary estimates of effect, risk ratios (RRs) for dichotomous outcomes, and mean differences (MDs) or standardised mean differences (SMDs) for continuous outcomes, along with 95% confidence intervals (CIs). Narrative synthesis was performed when meta-analysis was not possible. We assessed overall certainty of evidence for each outcome using Grades of Recommendation, Assessment, Development and Evaluation (GRADE). Primary outcomes were medication-taking ability and medication adherence. Secondary outcomes included health-related quality of life (HRQoL), emergency department (ED)/hospital admissions, and mortality. MAIN RESULTS We identified 50 studies (14,269 participants) comprising 40 RCTs, six cluster-RCTs, and four quasi-RCTs. All included studies evaluated interventions versus usual care; six studies also reported a comparison between two interventions as part of a three-arm RCT design. Interventions were grouped on the basis of their educational and/or behavioural components: 14 involved educational components only, 7 used behavioural strategies only, and 29 provided mixed educational and behavioural interventions. Overall, our confidence in results regarding the effectiveness of interventions was low to very low due to a high degree of heterogeneity of included studies and high or unclear risk of bias across multiple domains in most studies. Five studies evaluated interventions for improving medication-taking ability, and 48 evaluated interventions for improving medication adherence (three studies evaluated both outcomes). No studies involved educational or behavioural interventions alone for improving medication-taking ability. Low-quality evidence from five studies, each using a different measure of medication-taking ability, meant that we were unable to determine the effects of mixed interventions on medication-taking ability. Low-quality evidence suggests that behavioural only interventions (RR 1.22, 95% CI 1.07 to 1.38; 4 studies) and mixed interventions (RR 1.22, 95% CI 1.08 to 1.37; 12 studies) may increase the proportions of people who are adherent compared with usual care. We could not include in the meta-analysis results from two studies involving mixed interventions: one had a positive effect on adherence, and the other had little or no effect. Very low-quality evidence means that we are uncertain of the effects of educational only interventions (5 studies) on the proportions of people who are adherent. Low-quality evidence suggests that educational only interventions (SMD 0.16, 95% CI -0.12 to 0.43; 5 studies) and mixed interventions (SMD 0.47, 95% CI -0.08 to 1.02; 7 studies) may have little or no impact on medication adherence assessed through continuous measures of adherence. We excluded 10 studies (4 educational only and 6 mixed interventions) from the meta-analysis including four studies with unclear or no available results. Very low-quality evidence means that we are uncertain of the effects of behavioural only interventions (3 studies) on medication adherence when assessed through continuous outcomes. Low-quality evidence suggests that mixed interventions may reduce the number of ED/hospital admissions (RR 0.67, 95% CI 0.50 to 0.90; 11 studies) compared with usual care, although results from six further studies that we were unable to include in meta-analyses indicate that the intervention may have a smaller, or even no, effect on these outcomes. Similarly, low-quality evidence suggests that mixed interventions may lead to little or no change in HRQoL (7 studies), and very low-quality evidence means that we are uncertain of the effects on mortality (RR 0.93, 95% CI 0.67 to 1.30; 7 studies). Moderate-quality evidence shows that educational interventions alone probably have little or no effect on HRQoL (6 studies) or on ED/hospital admissions (4 studies) when compared with usual care. Very low-quality evidence means that we are uncertain of the effects of behavioural interventions on HRQoL (1 study) or on ED/hospital admissions (2 studies). We identified no studies evaluating effects of educational or behavioural interventions alone on mortality. Six studies reported a comparison between two interventions; however due to the limited number of studies assessing the same types of interventions and comparisons, we are unable to draw firm conclusions for any outcomes. AUTHORS' CONCLUSIONS Behavioural only or mixed educational and behavioural interventions may improve the proportion of people who satisfactorily adhere to their prescribed medications, but we are uncertain of the effects of educational only interventions. No type of intervention was found to improve adherence when it was measured as a continuous variable, with educational only and mixed interventions having little or no impact and evidence of insufficient quality to determine the effects of behavioural only interventions. We were unable to determine the impact of interventions on medication-taking ability. The quality of evidence for these findings is low due to heterogeneity and methodological limitations of studies included in the review. Further well-designed RCTs are needed to investigate the effects of interventions for improving medication-taking ability and medication adherence in older adults prescribed multiple medications.
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Affiliation(s)
- Amanda J Cross
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Australia
| | - Rohan A Elliott
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Australia
- Pharmacy Department, Austin Health, Heidelberg, Australia
| | - Kate Petrie
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Australia
| | - Lisha Kuruvilla
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Australia
- Pharmacy Department, Barwon Health, North Geelong, Australia
| | - Johnson George
- Centre for Medicine Use and Safety, Faculty of Pharmacy and Pharmaceutical Sciences, Monash University, Parkville, Australia
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Persaud N, Bedard M, Boozary AS, Glazier RH, Gomes T, Hwang SW, Jüni P, Law MR, Mamdani MM, Manns BJ, Martin D, Morgan SG, Oh PI, Pinto AD, Shah BR, Sullivan F, Umali N, Thorpe KE, Tu K, Laupacis A. Effect on Treatment Adherence of Distributing Essential Medicines at No Charge: The CLEAN Meds Randomized Clinical Trial. JAMA Intern Med 2020; 180:27-34. [PMID: 31589276 PMCID: PMC6784757 DOI: 10.1001/jamainternmed.2019.4472] [Citation(s) in RCA: 37] [Impact Index Per Article: 9.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 05/22/2019] [Accepted: 08/12/2019] [Indexed: 11/14/2022]
Abstract
Importance Nonadherence to treatment with medicines is common globally, even for life-saving treatments. Cost is one important barrier to access, and only some jurisdictions provide medicines at no charge to patients. Objective To determine whether providing essential medicines at no charge to outpatients who reported not being able to afford medicines improves adherence. Design, Setting, and Participants A multicenter, unblinded, parallel, 2-group, superiority, outcomes assessor-blinded, individually randomized clinical trial conducted at 9 primary care sites in Ontario, Canada, enrolled 786 patients between June 1, 2016, and April 28, 2017, who reported cost-related nonadherence. Follow-up occurred at 12 months. The primary analysis was performed using an intention-to-treat principle. Interventions Patients were randomly allocated to receive free medicines on a list of essential medicines in addition to otherwise usual care (n = 395) or usual medicine access and usual care (n = 391). Main Outcomes and Measures The primary outcome was adherence to treatment with all medicines that were appropriately prescribed for 1 year. Secondary outcomes were hemoglobin A1c level, blood pressure, and low-density lipoprotein cholesterol levels 1 year after randomization in participants taking corresponding medicines. Results Among the 786 participants analyzed (439 women and 347 men; mean [SD] age, 51.7 [14.3] years), 764 completed the trial. Adherence to treatment with all medicines was higher in those randomized to receive free distribution (151 of 395 [38.2%]) compared with usual access (104 of 391 [26.6%]; difference, 11.6%; 95% CI, 4.9%-18.4%). Control of type 1 and 2 diabetes was not significantly improved by free distribution (hemoglobin A1c, -0.38%; 95% CI, -0.76% to 0.00%), systolic blood pressure was reduced (-7.2 mm Hg; 95% CI, -11.7 to -2.8 mm Hg), and low-density lipoprotein cholesterol levels were not affected (-2.3 mg/dL; 95% CI, -14.7 to 10.0 mg/dL). Conclusions and Relevance The distribution of essential medicines at no charge for 1 year increased adherence to treatment with medicines and improved some, but not other, disease-specific surrogate health outcomes. These findings could help inform changes to medicine access policies such as publicly funding essential medicines. Trial Registration ClinicalTrials.gov identifier: NCT02744963.
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Affiliation(s)
- Navindra Persaud
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St Michael’s Hospital, Toronto, Ontario, Canada
- Department of Family and Community Medicine, St Michael’s Hospital, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Michael Bedard
- Department of Family Medicine, Northern Ontario School of Medicine, Sudbury, Ontario, Canada
| | - Andrew S. Boozary
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Department of Health Policy and Management, Harvard School of Public Health, Boston, Massachusetts
| | - Richard H. Glazier
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St Michael’s Hospital, Toronto, Ontario, Canada
- Department of Family and Community Medicine, St Michael’s Hospital, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
| | - Tara Gomes
- Li Ka Shing Knowledge Institute, St Michael’s Hospital, Toronto, Ontario, Canada
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada
- Applied Health Research Centre, St Michael’s Hospital, Toronto, Ontario, Canada
| | - Stephen W. Hwang
- Li Ka Shing Knowledge Institute, St Michael’s Hospital, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Peter Jüni
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
| | - Michael R. Law
- Centre for Health Services and Policy Research, School of Population and Public Health, The University of British Columbia, Vancouver, British Columbia, Canada
| | - Muhammad M. Mamdani
- Li Ka Shing Knowledge Institute, St Michael’s Hospital, Toronto, Ontario, Canada
- Leslie Dan Faculty of Pharmacy, University of Toronto, Toronto, Ontario, Canada
- Applied Health Research Centre, St Michael’s Hospital, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Centre for Healthcare Analytics Research and Training, St Michael’s Hospital, Toronto, Ontario, Canada
| | - Braden J. Manns
- Department of Community Health Sciences, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Department of Medicine, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- O’Brien Institute for Public Health, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
- Libin Cardiovascular Institute, Cumming School of Medicine, University of Calgary, Calgary, Alberta, Canada
| | - Danielle Martin
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- Women’s College Hospital Institute for Health Systems Solutions and Virtual Care, Women’s College Hospital, Toronto, Ontario, Canada
| | - Steven G. Morgan
- School of Population and Public Health, University of British Columbia, Vancouver, British Columbia, Canada
| | - Paul I. Oh
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
- Toronto Rehabilitation Institute, University Health Network, Toronto, Ontario, Canada
| | - Andrew D. Pinto
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- Li Ka Shing Knowledge Institute, St Michael’s Hospital, Toronto, Ontario, Canada
- Department of Family and Community Medicine, St Michael’s Hospital, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
- The Upstream Lab, MAP Centre for Urban Health Solutions, St Michael’s Hospital, Toronto, Ontario, Canada
| | - Baiju R. Shah
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Institute for Clinical Evaluative Sciences, Toronto, Ontario, Canada
| | - Frank Sullivan
- Department of Research and Innovation, North York General Hospital, Toronto, Ontario, Canada
- Division of Population and Behavioral Science, University of St Andrews, St Andrews, Scotland
| | - Norman Umali
- Li Ka Shing Knowledge Institute, St Michael’s Hospital, Toronto, Ontario, Canada
| | - Kevin E. Thorpe
- Li Ka Shing Knowledge Institute, St Michael’s Hospital, Toronto, Ontario, Canada
- Applied Health Research Centre, St Michael’s Hospital, Toronto, Ontario, Canada
| | - Karen Tu
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
| | - Andreas Laupacis
- Li Ka Shing Knowledge Institute, St Michael’s Hospital, Toronto, Ontario, Canada
- Institute of Health Policy, Management, and Evaluation, University of Toronto, Toronto, Ontario, Canada
- Department of Medicine, University of Toronto, Toronto, Ontario, Canada
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Yaphe H, Adekoya I, Steiner L, Maraj D, O'Campo P, Persaud N. Exploring the experiences of people in Ontario, Canada who have trouble affording medicines: a qualitative concept mapping study. BMJ Open 2019; 9:e033933. [PMID: 31888944 PMCID: PMC6937130 DOI: 10.1136/bmjopen-2019-033933] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/21/2022] Open
Abstract
OBJECTIVES The experiences of people who report cost-related medicine non-adherence are not well documented. We aimed to present experiences relating to accessing medicines reported by the participants in a randomised controlled trial of free medicine distribution. METHODS The trial consisted of primary care patients from a large urban family practice and three rural family practices who reported cost-related medicine non-adherence. Participants were randomly allocated to continue their poor access (control) or to receive free and easily accessible medicines (intervention). As part of data collection for the first year of the trial, participants were asked closed and open-ended questions to assess their adherence to medication, health outcomes and their experiences in relation to medicine accessibility. We conducted a qualitative concept mapping study in which we analysed and summarised participants' responses to the open-ended question on a concept map to visually present their experiences relating to accessing medicines. RESULTS Of the 524 trial participants contacted, 198 (38%) responded to the open-ended question. The concept map contains clusters that represent eight types of experiences of participants related to medicine access including stress, relationship with doctor, health impact, quality of life, sacrificing other essentials, medicines are expensive, financial impact and adherence. These experiences fall under two major themes, experiences relating to personal finances and experiences relating to well-being, which are bridged by a central cluster of adherence. CONCLUSIONS The experiences shared by the participants demonstrate that access to medicines impacts people's finances and well-being as well as their adherence to prescribed medicines. These results indicate that effects on personal finances and general well-being should be measured for interventions and policy changes aimed at improving medicine access. TRIAL REGISTRATION NUMBER This article is linked to the Carefully Selected and Easily Accessible at No Charge Medicines (CLEAN Meds) randomised controlled trial (trial registration number: NCT02744963).
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Affiliation(s)
- Hannah Yaphe
- MAP Centre for Urban Health Solutions, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Itunuoluwa Adekoya
- MAP Centre for Urban Health Solutions, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Liane Steiner
- MAP Centre for Urban Health Solutions, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Darshanand Maraj
- MAP Centre for Urban Health Solutions, St. Michael's Hospital, Toronto, Ontario, Canada
| | - Patricia O'Campo
- MAP Centre for Urban Health Solutions, St. Michael's Hospital, Toronto, Ontario, Canada
- Dalla Lana School of Public Health, University of Toronto, Toronto, Ontario, Canada
| | - Nav Persaud
- MAP Centre for Urban Health Solutions, St. Michael's Hospital, Toronto, Ontario, Canada
- Department of Family and Community Medicine, University of Toronto, Toronto, Ontario, Canada
- Department of Family and Community Medicine, St Michael's Hospital, Toronto, Ontario, Canada
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Persaud N, Davidson M, Charter D. Community members co-designing a trial of medication access. CMAJ 2019; 190:S44-S45. [PMID: 30404853 DOI: 10.1503/cmaj.180415] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/14/2023] Open
Affiliation(s)
- Nav Persaud
- Department of Family and Community Medicine (Persaud), University of Toronto; St. Michael's Hospital (Persaud); Centre for Urban Health Solutions (Persaud, Davidson, Charter), Keenan Research Centre, Toronto, Ont.
| | - Marleane Davidson
- Department of Family and Community Medicine (Persaud), University of Toronto; St. Michael's Hospital (Persaud); Centre for Urban Health Solutions (Persaud, Davidson, Charter), Keenan Research Centre, Toronto, Ont
| | - Diane Charter
- Department of Family and Community Medicine (Persaud), University of Toronto; St. Michael's Hospital (Persaud); Centre for Urban Health Solutions (Persaud, Davidson, Charter), Keenan Research Centre, Toronto, Ont
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McDowell R, Bennett K, Moriarty F, Clarke S, Barry M, Fahey T. An evaluation of prescribing trends and patterns of claims within the Preferred Drugs Initiative in Ireland (2011 -2016): an interrupted time-series study. BMJ Open 2018; 8:e019315. [PMID: 29678966 PMCID: PMC5914712 DOI: 10.1136/bmjopen-2017-019315] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/23/2022] Open
Abstract
OBJECTIVE To examine the impact of the Preferred Drugs Initiative (PDI), an Irish health policy aimed at enhancing evidence-based cost-effective prescribing, on prescribing trends and the cost of prescription medicines across seven medication classes. DESIGN Retrospective repeated cross-sectional study spanning the years 2011-2016. SETTING Health Service Executive Primary Care Reimbursement Service pharmacy claims data for General Medical Services (GMS) patients, approximately 40% of the Irish population. PARTICIPANTS Adults aged ≥18 years between 2011 and 2016 are eligible for the GMS scheme. PRIMARY AND SECONDARY OUTCOMES The percentage of PDI medications within each drug class per calendar quarter. Linear regression was used to model prescribing of the preferred drug within each medication group and to assess the impact of PDI guidelines and other relevant changes in prescribing practice. Savings in drug expenditure were estimated. RESULTS Between 2011 and 2016, around a quarter (23.59%) of all medications were for single-agent drugs licensed in the seven drug classes. There was a small increase in the percentage of PDI drugs, increasing from 4.64% of all medications in 2011 to 4.76% in 2016 (P<0.001). The percentage of preferred drugs within each drug class was significantly higher immediately following publication of the guidelines for all classes except urology, with the largest increases noted for lansoprazole (1.21%, 95% CI: 0.84% to 1.57%, P<0.001) and venlafaxine (0.71%, 95% CI: 0.15% to 1.27%, P=0.02). Trends in prescribing of the preferred drugs between PDI guidelines and the end of 2016 varied between drug classes. Total cost savings between 2013 and 2016 were estimated to be €2.7 million. CONCLUSION There has been a small increase in prescribing of PDI drugs in response to prescribing guidelines, with inconsistent changes observed across therapeutic classes. These findings are relevant where health services are seeking to develop more active prescribing interventions aimed at changing prescribing practice.
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Affiliation(s)
- Ronald McDowell
- HRB Centre for Primary Care Research, Department of General Practice, Royal College of Surgeons in Ireland Medical School, Dublin, Ireland
| | - Kathleen Bennett
- Division of Population Health Sciences, Royal College of Surgeons in Ireland, Dublin, Ireland
| | - Frank Moriarty
- HRB Centre for Primary Care Research, Department of General Practice, Royal College of Surgeons in Ireland Medical School, Dublin, Ireland
| | - Sarah Clarke
- Health Service Executive Medicines Management Programme, Trinity Centre for Health Sciences, St James’s Hospital, Dublin, Ireland
| | - Michael Barry
- National Centre for Pharmacoeconomics, Trinity Centre for Health Sciences, St. James’s Hospital, Dublin, Ireland
| | - Tom Fahey
- HRB Centre for Primary Care Research, Department of General Practice, Royal College of Surgeons in Ireland Medical School, Dublin, Ireland
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