1
|
Hong JSW, Ostinelli EG, Kamvar R, Smith KA, Walsh AEL, Kabir T, Tomlinson A, Cipriani A. An online evidence-based dictionary of common adverse events of antidepressants: a new tool to empower patients and clinicians in their shared decision-making process. BMC Psychiatry 2024; 24:532. [PMID: 39049079 PMCID: PMC11270875 DOI: 10.1186/s12888-024-05950-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 03/08/2024] [Accepted: 07/08/2024] [Indexed: 07/27/2024] Open
Abstract
BACKGROUND Adverse events (AEs) are commonly reported in clinical studies using the Medical Dictionary for Regulatory Activities (MedDRA), an international standard for drug safety monitoring. However, the technical language of MedDRA makes it challenging for patients and clinicians to share understanding and therefore to make shared decisions about medical interventions. In this project, people with lived experience of depression and antidepressant treatment worked with clinicians and researchers to co-design an online dictionary of AEs associated with antidepressants, taking into account its ease of use and applicability to real-world settings. METHODS Through a pre-defined literature search, we identified MedDRA-coded AEs from randomised controlled trials of antidepressants used in the treatment of depression. In collaboration with the McPin Foundation, four co-design workshops with a lived experience advisory panel (LEAP) and one independent focus group (FG) were conducted to produce user-friendly translations of AE terms. Guiding principles for translation were co-designed with McPin/LEAP members and defined before the finalisation of Clinical Codes (CCs, or non-technical terms to represent specific AE concepts). FG results were thematically analysed using the Framework Method. RESULTS Starting from 522 trials identified by the search, 736 MedDRA-coded AE terms were translated into 187 CCs, which balanced key factors identified as important to the LEAP and FG (namely, breadth, specificity, generalisability, patient-understandability and acceptability). Work with the LEAP showed that a user-friendly language of AEs should aim to mitigate stigma, acknowledge the multiple levels of comprehension in 'lay' language and balance the need for semantic accuracy with user-friendliness. Guided by these principles, an online dictionary of AEs was co-designed and made freely available ( https://thesymptomglossary.com ). The digital tool was perceived by the LEAP and FG as a resource which could feasibly improve antidepressant treatment by facilitating the accurate, meaningful expression of preferences about potential harms through a shared decision-making process. CONCLUSIONS This dictionary was developed in English around AEs from antidepressants in depression but it can be adapted to different languages and cultural contexts, and can also become a model for other interventions and disorders (i.e., antipsychotics in schizophrenia). Co-designed digital resources may improve the patient experience by helping to deliver personalised information on potential benefits and harms in an evidence-based, preference-sensitive way.
Collapse
Affiliation(s)
- James S W Hong
- Department of Psychiatry, University of Oxford, Oxford, UK.
- Oxford Precision Psychiatry Lab, NIHR Oxford Health Biomedical Research Centre, Oxford, UK.
| | - Edoardo G Ostinelli
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford Precision Psychiatry Lab, NIHR Oxford Health Biomedical Research Centre, Oxford, UK
| | | | - Katharine A Smith
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford Precision Psychiatry Lab, NIHR Oxford Health Biomedical Research Centre, Oxford, UK
| | | | - Thomas Kabir
- Department of Psychiatry, University of Oxford, Oxford, UK
| | - Anneka Tomlinson
- Oxford Precision Psychiatry Lab, NIHR Oxford Health Biomedical Research Centre, Oxford, UK
- Oxford Health NHS Foundation Trust, Warneford Hospital, Oxford, UK
| | - Andrea Cipriani
- Department of Psychiatry, University of Oxford, Oxford, UK
- Oxford Precision Psychiatry Lab, NIHR Oxford Health Biomedical Research Centre, Oxford, UK
| |
Collapse
|
2
|
Tai K, Zhao R, Rameau A. Artificial Intelligence in Otolaryngology: Topics in Epistemology & Ethics. Otolaryngol Clin North Am 2024:S0030-6665(24)00066-5. [PMID: 38839555 DOI: 10.1016/j.otc.2024.04.008] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/07/2024]
Abstract
To fuel artificial intelligence (AI) potential in clinical practice in otolaryngology, researchers must understand its epistemic limitations, which are tightly linked to ethical dilemmas requiring careful consideration. AI tools are fundamentally opaque systems, though there are methods to increase explainability and transparency. Reproducibility and replicability limitations can be overcomed by sharing computing code, raw data, and data processing methodology. The risk of bias can be mitigated via algorithmic auditing, careful consideration of the training data, and advocating for a diverse AI workforce to promote algorithmic pluralism, reflecting our population's diverse values and preferences.
Collapse
Affiliation(s)
- Katie Tai
- New York Presbyterian Hospital, 1300 York Avenue, New York, NY 10065, USA
| | - Robin Zhao
- Department of Otolaryngology-Head & Neck Surgery, Sean Parker Institute for the Voice, Weill Cornell Medical College, 240 East 59th Street, New York, NY 10022, USA
| | - Anaïs Rameau
- Department of Otolaryngology-Head & Neck Surgery, Sean Parker Institute for the Voice, Weill Cornell Medical College, 240 East 59th Street, New York, NY 10022, USA.
| |
Collapse
|
3
|
Tran S, Smith L, Carter S. Understanding Patient Perspectives on the Use of Gamification and Incentives in mHealth Apps to Improve Medication Adherence: Qualitative Study. JMIR Mhealth Uhealth 2024; 12:e50851. [PMID: 38743461 PMCID: PMC11134245 DOI: 10.2196/50851] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/14/2023] [Revised: 12/20/2023] [Accepted: 03/27/2024] [Indexed: 05/16/2024] Open
Abstract
BACKGROUND Medication nonadherence remains a significant health and economic burden in many high-income countries. Emerging smartphone interventions have started to use features such as gamification and financial incentives with varying degrees of effectiveness on medication adherence and health outcomes. A more consistent approach to applying these features, informed by patient perspectives, may result in more predictable and beneficial results from this type of intervention. OBJECTIVE This qualitative study aims to identify patient perspectives on the use of gamification and financial incentives in mobile health (mHealth) apps for medication adherence in Australian patients taking medication for chronic conditions. METHODS A total of 19 participants were included in iterative semistructured web-based focus groups conducted between May and December 2022. The facilitator used exploratory prompts relating to mHealth apps, gamification, and financial incentives, along with concepts raised from previous focus groups. Transcriptions were independently coded to develop a set of themes. RESULTS Three themes were identified: purpose-driven design, trust-based standards, and personal choice. All participants acknowledged gamification and financial incentives as potentially effective features in mHealth apps for medication adherence. However, they also indicated that the effectiveness heavily depended on implementation and execution. Major concerns relating to gamification and financial incentives were perceived trivialization and potential for medication abuse, respectively. CONCLUSIONS The study's findings provide a foundation for developers seeking to apply these novel features in an app intervention for a general cohort of patients. However, the study highlights the need for standards for mHealth apps for medication adherence, with particular attention to the use of gamification and financial incentives. Future research with patients and stakeholders across the mHealth app ecosystem should be explored to formalize and validate a set of standards or framework.
Collapse
Affiliation(s)
- Steven Tran
- School of Pharmacy, Faculty of Medicine and Health, University of Sydney, Camperdown, Australia
| | - Lorraine Smith
- School of Pharmacy, Faculty of Medicine and Health, University of Sydney, Camperdown, Australia
| | - Stephen Carter
- School of Pharmacy, Faculty of Medicine and Health, University of Sydney, Camperdown, Australia
| |
Collapse
|
4
|
Babu CS, Holsinger FC, Zuchowski L, Ratti E, Rameau A. Epistemological Challenges of Artificial Intelligence Clinical Decision Support Tools in Otolaryngology: The Black Box Problem. Otolaryngol Head Neck Surg 2023; 169:1697-1700. [PMID: 37344955 DOI: 10.1002/ohn.410] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/13/2023] [Revised: 06/02/2023] [Accepted: 06/06/2023] [Indexed: 06/23/2023]
Affiliation(s)
- Christopher S Babu
- Department of Otolaryngology-Head and Neck Surgery, Weill Cornell Medicine, New York City, New York, USA
| | - Floyd Christopher Holsinger
- Department of Otolaryngology, Division of Head and Neck Surgery, Stanford University, Palo Alto, California, USA
| | - Lena Zuchowski
- Department of Philosophy, University of Bristol, Bristolc, UK
| | - Emanuele Ratti
- Department of Philosophy, University of Bristol, Bristolc, UK
| | - Anaïs Rameau
- Department of Otolaryngology-Head and Neck Surgery, Weill Cornell Medicine, New York City, New York, USA
- Department of Otolaryngology-Head and Neck Surgery, Sean Parker Institute for the Voice at Weill Cornell Medicine, New York City, New York, USA
| |
Collapse
|
5
|
Rajiah K, Jamshed SQ, Mohamed Ibrahim MI. Editorial: Social and Administrative Policy in Healthcare and Pharmacy Practice. Front Public Health 2022; 10:901847. [PMID: 35619821 PMCID: PMC9127993 DOI: 10.3389/fpubh.2022.901847] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2022] [Accepted: 04/22/2022] [Indexed: 11/13/2022] Open
Affiliation(s)
- Kingston Rajiah
- Gandhi Institute of Technology and Management (GITAM) School of Pharmacy, GITAM University Hyderabad, Hyderabad, India
| | - Shazia Qasim Jamshed
- Faculty of Pharmacy, Sultan Zainal Abidin University, Kuala Terengganu, Malaysia
| | | |
Collapse
|
6
|
Hogervorst S, Vervloet M, Adriaanse MC, Zamboni K, Zullig LL, Schoonmade L, Hugtenburg JG, van Dijk L. Scalability of effective adherence interventions for patients using cardiovascular disease medication - a realist synthesis inspired systematic review. Br J Clin Pharmacol 2022. [PMID: 35617955 DOI: 10.1111/bcp.15418] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/30/2021] [Revised: 04/15/2022] [Accepted: 05/12/2022] [Indexed: 11/28/2022] Open
Abstract
Upscaling of medication adherence interventions to routine care is still challenging. This realist theory inspired review aimed to assess which intervention aspects are potentially important for the scalability of effective cardiovascular disease (CVD) medication adherence interventions and how they are reported in effectiveness studies. A total of 4097 articles from four databases were screened of which ultimately 31 studies were included. Relevant information on scalability was extracted using a theoretic framework based on the scalability assessment tool used in the QUALIDEC study for the following domains; (i) innovation, (ii) implementers and patients, (iii) adopting organizations and health system and (iv) socio-political context. Extracted articles were analysed for themes and chains of inference, which were grouped based on commonality and source of evidence to form new hypotheses. Six different domains relevant for scalability of adherence interventions were identified: 1) Complexity of the intervention 2) training; 3) customization of the intervention; 4) drivers of the intervention; 5) technical interventions 6) stakeholder involvement. These six domains might be useful for the development of more scalable interventions by bridging the gap between research and practice. Data relevant for scalability is not well reported on in effectiveness trials for CVD medication adherence interventions and only limited data on scalability has been published in additional papers. We believe the adoption and reach of effective CVD medication adherence interventions will improve with increased awareness for the necessity of scalability in all phases of intervention development.
Collapse
Affiliation(s)
- Stijn Hogervorst
- Department of Health Sciences, Faculty of Science, Vrije Universiteit, Amsterdam, The Netherlands.,Amsterdam Public Health Research Institute, Amsterdam UMC, Amsterdam, The Netherlands
| | - Marcia Vervloet
- Nivel, Netherlands Institute for Health Services Research, Utrecht, The Netherlands
| | - Marcel C Adriaanse
- Department of Health Sciences, Faculty of Science, Vrije Universiteit, Amsterdam, The Netherlands.,Amsterdam Public Health Research Institute, Amsterdam UMC, Amsterdam, The Netherlands
| | - Karen Zamboni
- Department of Disease Control, London School of Hygiene and Tropical Medicine, London, UK
| | - Leah L Zullig
- Center for Health Services Research in Primary Care, Durham Veterans Affairs Medical Center, Durham, North Carolina, USA.,Department of Population Health Sciences, Duke University, Durham, North Carolina, USA
| | - Linda Schoonmade
- University Library, Vrije Universiteit, Amsterdam, The Netherlands
| | - Jacqueline G Hugtenburg
- Amsterdam Public Health Research Institute, Amsterdam UMC, Amsterdam, The Netherlands.,Department of Clinical Pharmacology and Pharmacy, Amsterdam UMC, Amsterdam, The Netherlands
| | - Liset van Dijk
- Nivel, Netherlands Institute for Health Services Research, Utrecht, The Netherlands.,Department of PharmacoTherapy, Epidemiology & Economics (PTEE), Faculty of Mathematics and Natural Sciences, Groningen Research Institute of Pharmacy, University of Groningen, Groningen, the Netherlands
| |
Collapse
|