1
|
Fuente-Moreno M, Dima AL, Rubio-Valera M, Baladon L, Chavarria V, Contaldo SF, Peña-Salazar C, Serra-Sutton V, Hermida-González P, de Loño JP, Rey-Abella ME, Aznar-Lou I, Serrano-Blanco A. Evaluation of adherence to antipsychotics: A real-world data study using four different dosing assumptions. Br J Clin Pharmacol 2024; 90:1480-1492. [PMID: 38499460 DOI: 10.1111/bcp.16042] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/29/2023] [Revised: 11/28/2023] [Accepted: 02/09/2024] [Indexed: 03/20/2024] Open
Abstract
AIMS This study aimed to assess the frequency of dosing inconsistencies in prescription data and the effect of four dosing assumption strategies on adherence estimates for antipsychotic treatment. METHODS A retrospective cohort, which linked prescription and dispensing data of adult patients with ≥1 antipsychotic prescription between 2015-2016 and followed up until 2019, in Catalonia (Spain). Four strategies were proposed for selecting the recommended dosing in overlapping prescription periods for the same patient and antipsychotic drug: (i) the minimum dosing prescribed; (ii) the dose corresponding to the latest prescription issued; (iii) the highest dosing prescribed; and (iv) all doses included in the overlapped period. For each strategy, one treatment episode per patient was selected, and the Continuous Medication Availability measure was used to assess adherence. Descriptive statistics were used to describe results by strategy. RESULTS Of the 277 324 prescriptions included, 76% overlapped with other prescriptions (40% with different recommended dosing instructions). The number and characteristics of patients and treatment episodes (18 292, 18 303, 18 339 and 18 536, respectively per strategy) were similar across strategies. Mean adherence was similar between strategies, ranging from 57 to 60%. However, the proportion of patients with adherence ≥90% was lower when selecting all doses (28%) compared with the other strategies (35%). CONCLUSION Despite the high prevalence of overlapping prescriptions, the strategies proposed did not show a major effect on the adherence estimates for antipsychotic treatment. Taking into consideration the particularities of antipsychotic prescription practices, selecting the highest dose in the overlapped period seemed to provide a more accurate adherence estimate.
Collapse
Affiliation(s)
- Marina Fuente-Moreno
- Health Technology Assessment in Primary Care and Mental Health (PRISMA) Research Group, Teaching, Research & Innovation Unit, Parc Sanitari Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
- Facultat de Medicina i Ciències de la Salut, Universitat de Barcelona, Barcelona, Spain
- Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), Madrid, Spain
| | - Alexandra L Dima
- Health Technology Assessment in Primary Care and Mental Health (PRISMA) Research Group, Teaching, Research & Innovation Unit, Parc Sanitari Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Maria Rubio-Valera
- Health Technology Assessment in Primary Care and Mental Health (PRISMA) Research Group, Teaching, Research & Innovation Unit, Parc Sanitari Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Luisa Baladon
- Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), Madrid, Spain
- Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain
| | - Victor Chavarria
- Red de Investigación en Cronicidad, Atención Primaria y Promoción de la Salud (RICAPPS), Madrid, Spain
- Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain
| | | | - Carlos Peña-Salazar
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Parc Sanitari Sant Joan de Déu, Sant Boi de Llobregat, Spain
| | - Vicky Serra-Sutton
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
- Agència de Qualitat i Avaluació Sanitàries de Catalunya (AQuAS); Health Quality and Assessment Agency of Catalonia, Barcelona, Spain
| | | | - Jorge Peláez de Loño
- Unitat de Farmàcia. Regió Sanitària Metropolitana Sud CatSalut, Barcelona, Spain
| | | | - Ignacio Aznar-Lou
- Health Technology Assessment in Primary Care and Mental Health (PRISMA) Research Group, Teaching, Research & Innovation Unit, Parc Sanitari Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| | - Antoni Serrano-Blanco
- Health Technology Assessment in Primary Care and Mental Health (PRISMA) Research Group, Teaching, Research & Innovation Unit, Parc Sanitari Sant Joan de Déu, Institut de Recerca Sant Joan de Déu, Esplugues de Llobregat, Spain
- Centro de Investigación Biomédica en Red de Epidemiología y Salud Pública (CIBERESP), Madrid, Spain
| |
Collapse
|
2
|
Welton J, Stratton G, Schoeninger B, Low MH, Moody A, D'Souza W. Shortages of antiseizure medications in Australia and the association with patient switching, and adherence in a community setting. Epilepsy Behav 2023; 141:109145. [PMID: 36913876 DOI: 10.1016/j.yebeh.2023.109145] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/20/2022] [Revised: 01/31/2023] [Accepted: 02/12/2023] [Indexed: 03/15/2023]
Abstract
PURPOSE To quantify sponsor-reported shortages of oral antiseizure medications in Australia, estimate the number of patients impacted, and the association between shortages and brand or formulation switching, and changes in adherence. METHODS A retrospective cohort study of sponsor-reported shortages (defined as where the supply of a medicine will not or will not be likely to meet the demand over a 6-month period) of antiseizure medications reported to the Medicine Shortages Reports Database (Therapeutic Goods Administration, Australia); cross-referencing shortages to the IQVIA-NostraData Dispensing Data (LRx) database, a deidentified, population-level dataset collecting longitudinal dispensation data on individual patients from ∼75% of Australian community pharmacy scripts. RESULTS Ninety-seven sponsor-reported ASM shortages were identified between 2019 and 2020; of those, 90 (93%) were shortages of generic ASM brands. Of 1,247,787 patients dispensed ≥1 ASMs, 242,947 (19.5%) were impacted by shortages. Sponsor-reported shortages occurred more frequently before the COVID-19 pandemic versus during the pandemic, however, shortages were estimated to affect more patients during the pandemic than before the pandemic. An estimated 330,872 patient-level shortage events were observed, and 98.5% were associated with shortages of generic ASM brands. Shortages occurred at a rate of 41.06 shortages per 100 person-years in patients on generic ASM brands versus 0.83 shortages per 100 person-years in patients on originator ASM brands. In patients taking a formulation of levetiracetam affected by a shortage, 67.6% switched to a different levetiracetam brand or formulation during shortages compared with 46.6% in non-shortage periods. CONCLUSIONS Approximately 20% of patients on ASMs were estimated to have been impacted by an ASM shortage in Australia. The rate of patient-level shortages was approximately 50 times higher for patients on generic ASM brands versus originator brands. Shortages of levetiracetam were associated with formulation and brand switching. Improved supply chain management amongst sponsors of generic ASMs is needed to maintain the continuity of supply in Australia.
Collapse
Affiliation(s)
- Jeremy Welton
- UCB Pharma, Level 1, 1155 Malvern Road, Malvern, VIC 3144, Australia; Department of Medicine - St Vincent's Hospital, The University of Melbourne, Clinical Sciences Building, Level 4 / 29 Regent Street, Fitzroy, VIC 3065, Australia.
| | - Giles Stratton
- IQVIA Australia, 8/201 Pacific Hwy, St Leonards, NSW 2065, Australia
| | | | - Min Hui Low
- IQVIA Australia, 8/201 Pacific Hwy, St Leonards, NSW 2065, Australia
| | - Anita Moody
- UCB Pharma, Level 1, 1155 Malvern Road, Malvern, VIC 3144, Australia
| | - Wendyl D'Souza
- Department of Medicine - St Vincent's Hospital, The University of Melbourne, Clinical Sciences Building, Level 4 / 29 Regent Street, Fitzroy, VIC 3065, Australia
| |
Collapse
|
3
|
Dalli LL, Kilkenny MF, Arnet I, Sanfilippo FM, Cummings DM, Kapral MK, Kim J, Cameron J, Yap KY, Greenland M, Cadilhac DA. Towards better reporting of the Proportion of Days Covered method in cardiovascular medication adherence: A scoping review and new tool TEN-SPIDERS. Br J Clin Pharmacol 2022; 88:4427-4442. [PMID: 35524398 PMCID: PMC9546055 DOI: 10.1111/bcp.15391] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/11/2022] [Revised: 04/29/2022] [Accepted: 05/03/2022] [Indexed: 11/27/2022] Open
Abstract
Although medication adherence is commonly measured in electronic datasets using the proportion of days covered (PDC), no standardized approach is used to calculate and report this measure. We conducted a scoping review to understand the approaches taken to calculate and report the PDC for cardiovascular medicines to develop improved guidance for researchers using this measure. After prespecifying methods in a registered protocol, we searched Ovid Medline, Embase, Scopus, CINAHL Plus and grey literature (1 July 2012 to 14 December 2020) for articles containing the terms “proportion of days covered” and “cardiovascular medicine”, or synonyms and subject headings. Of the 523 articles identified, 316 were reviewed in full and 76 were included (93% observational studies; 47% from the USA; 2 grey literature articles). In 45 articles (59%), the PDC was measured from the first dispensing/claim date. Good adherence was defined as 80% PDC in 61 articles, 56% of which contained a rationale for selecting this threshold. The following parameters, important for deriving the PDC, were often not reported/unclear: switching (53%), early refills (45%), in‐hospital supplies (45%), presupply (28%) and survival (7%). Of the 46 articles where dosing information was unavailable, 59% reported how doses were imputed. To improve the transparent and systematic reporting of the PDC, we propose the TEN‐SPIDERS tool, covering the following PDC parameters: Threshold, Eligibility criteria, Numerator and denominator, Survival, Presupply, In‐hospital supplies, Dosing, Early Refills, and Switching. Use of this tool will standardize reporting of the PDC to facilitate reliable comparisons of medication adherence estimates between studies.
Collapse
Affiliation(s)
- Lachlan L Dalli
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Victoria, Australia
| | - Monique F Kilkenny
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Victoria, Australia.,Stroke Division, Florey Institute of Neuroscience and Mental Health, University of Melbourne, Victoria, Australia
| | - Isabelle Arnet
- Department of Pharmaceutical Sciences, University of Basel, Basel, Switzerland
| | - Frank M Sanfilippo
- School of Population and Global Health, The University of Western Australia, Western Australia, Australia
| | - Doyle M Cummings
- Department of Family Medicine, Brody School of Medicine, East Carolina University, Greenville, North Carolina, USA.,Centre for Health Disparities, East Carolina University, Greenville, North Carolina, USA
| | - Moira K Kapral
- ICES, Toronto, Canada.,Division of General Internal Medicine, Department of Medicine, University of Toronto, Canada.,Institute of Health Policy, Management, and Evaluation, University of Toronto, Canada
| | - Joosup Kim
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Victoria, Australia.,Stroke Division, Florey Institute of Neuroscience and Mental Health, University of Melbourne, Victoria, Australia
| | - Jan Cameron
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Victoria, Australia.,School of Nursing and Midwifery, Monash University, Victoria, Australia.,Australian Centre for Heart Health, Victoria, Australia
| | - Kevin Y Yap
- Department of Pharmacy, Singapore General Hospital, Singapore.,School of Psychology and Public Health, La Trobe University, Victoria, Australia
| | - Melanie Greenland
- Oxford Vaccine Group, Department of Paediatrics, Centre for Clinical Vaccinology and Tropical Medicine, Churchill Hospital, Oxford, UK.,Nuffield Department of Population Health, Big Data Institute, Li Ka Shing Centre for Health Information and Discovery, University of Oxford, Oxford, UK
| | - Dominique A Cadilhac
- Stroke and Ageing Research, Department of Medicine, School of Clinical Sciences at Monash Health, Monash University, Victoria, Australia.,Stroke Division, Florey Institute of Neuroscience and Mental Health, University of Melbourne, Victoria, Australia
| |
Collapse
|