Development of a Web-Based Tool Built From Pharmacy Claims Data to Assess Adherence to Respiratory Medications in Primary Care

BACKGROUND: Medication adherence in asthma and COPD is notoriously low. To intervene effectively, family physicians need to assess adherence accurately, which is a challenging endeavor. In collaboration family physicians and individuals with asthma or COPD, we aimed to explore the barriers and facilitators of assessing medication adherence in clinical practice (exploratory phase), and to develop a novel web-based tool (e-MEDRESP) that will allow physicians to monitor adherence using pharmacy claims data (development phase). METHODS: We used qualitative research methods and a framework inspired by user-centered design principles. Five focus groups were held: 2 with subjects (n = 15) and 3 with physicians (n = 20), and 10 individual interviews were conducted with physicians. In the exploratory phase, data were analyzed using thematic networks. In the development phase, we identified components to be included in an e-MEDRESP prototype through an iterative approach. The web-based e-MEDRESP tool was constructed by applying algorithms to pharmacy claims data that reflected end-users' recommendations through an informatics approach designed for electronic medical records. RESULTS: The main barriers to assessing medication adherence included a lack of objective information regarding medication use and short duration of medical visits. Physicians emphasized that identifying patients at risk for nonadherence requires a team effort from pharmacists, respiratory therapists, and nurses. Subjects also agreed that the use of easily interpretable pharmacy claims data could be an important facilitator and contributed to the development of the e-MEDRESP prototype, which contains graphical representations of the adherence to respiratory controller medications and dispensing of rescue medications. CONCLUSIONS: The e-MEDRESP tool has the potential to allow physicians to measure adherence objectively and to facilitate patient-physician communication concerning medication use. Future studies are needed to evaluate the feasibility of implementing e-MEDRESP in clinical practice. It would be relevant to develop strategies that could facilitate the sharing of information presented in e-MEDRESP among primary care health professionals.

[1]  W. Bailey,et al.  Editorial: Global Initiative for Chronic Obstructive Lung Disease (GOLD) 2023 Guidelines for COPD, Including COVID-19, Climate Change, and Air Pollution , 2023, Medical science monitor : international medical journal of experimental and clinical research.

[2]  P. Ho,et al.  Interventions to Improve Medication Adherence: A Review , 2018, JAMA.

[3]  B. Lamprecht,et al.  Adherence to inhaled therapy and its impact on chronic obstructive pulmonary disease (COPD) , 2018, BMC Pulmonary Medicine.

[4]  C. Lemière,et al.  Development of a graphical tool to measure medication adherence in asthma patients: A mixed-methods pilot study , 2018, The Journal of asthma : official journal of the Association for the Care of Asthma.

[5]  M. George Adherence in Asthma and COPD: New Strategies for an Old Problem , 2018, Respiratory Care.

[6]  J. Sim,et al.  Saturation in qualitative research: exploring its conceptualization and operationalization , 2017, Quality & Quantity.

[7]  M. Beauchesne,et al.  Adherence and Persistence to Long-Acting Anticholinergics Treatment Episodes in Patients With Chronic Obstructive Pulmonary Disease , 2017, The Annals of pharmacotherapy.

[8]  N. Bansback,et al.  The burden of nonadherence among adults with asthma: a role for shared decision‐making , 2017, Allergy.

[9]  N. Gross,et al.  New Therapies for Asthma and Chronic Obstructive Pulmonary Disease , 2017, American journal of respiratory and critical care medicine.

[10]  D. Marrero,et al.  Integration of Provider, Pharmacy, and Patient-Reported Data to Improve Medication Adherence for Type 2 Diabetes: A Controlled Before-After Pilot Study , 2016, JMIR medical informatics.

[11]  Karen Colorafi,et al.  Qualitative Descriptive Methods in Health Science Research , 2016, HERD.

[12]  Mardelle Shepley,et al.  Restorative Design Features for Hospital Staff Break Areas , 2016, HERD.

[13]  D. Comer,et al.  Using aggregated pharmacy claims to identify primary nonadherence. , 2015, The American journal of managed care.

[14]  A. Ismaila,et al.  Clinical, humanistic, and economic burden of chronic obstructive pulmonary disease (COPD) in Canada: a systematic review , 2015, BMC Research Notes.

[15]  S. Hurd,et al.  A summary of the new GINA strategy: a roadmap to asthma control , 2015, European Respiratory Journal.

[16]  S. Cadarette,et al.  An Introduction to Health Care Administrative Data. , 2015, The Canadian journal of hospital pharmacy.

[17]  Gimena Hernandez,et al.  Asthma inhaler adherence determinants in adults: systematic review of observational data , 2014, European Respiratory Journal.

[18]  A. Ismaila,et al.  Clinical, economic, and humanistic burden of asthma in Canada: a systematic review , 2013, BMC Pulmonary Medicine.

[19]  R. Kravitz,et al.  Provider Views About Responsibility for Medication Adherence and Content of Physician–Older Patient Discussions , 2012, Journal of the American Geriatrics Society.

[20]  P. Harbig,et al.  Instantaneous detection of nonadherence: quality, strength, and weakness of an electronic prescription database , 2012, Pharmacoepidemiology and drug safety.

[21]  T. Verheij,et al.  COPD in primary care: from episodic to continual management. , 2012, The British journal of general practice : the journal of the Royal College of General Practitioners.

[22]  William M Vollmer,et al.  Use of health information technology to improve medication adherence. , 2011, The American journal of managed care.

[23]  B. Jimmy,et al.  Patient medication adherence: measures in daily practice. , 2011, Oman medical journal.

[24]  C. Stavropoulou Non-adherence to medication and doctor-patient relationship: Evidence from a European survey. , 2011, Patient education and counseling.

[25]  Jesse James Garrett The Elements of User Experience: User-Centered Design for the Web and Beyond , 2010 .

[26]  B. Yawn,et al.  Improving adherence with inhaler therapy in COPD , 2010, International journal of chronic obstructive pulmonary disease.

[27]  Ashokakumar M. Patel,et al.  How Well Does Patient Self-Report Predict Asthma Medication Possession? Implications for Medication Reconciliation and Adherence Assessment , 2010, The Journal of asthma : official journal of the Association for the Care of Asthma.

[28]  M. Pladevall,et al.  A cluster-randomized trial to provide clinicians inhaled corticosteroid adherence information for their patients with asthma. , 2010, The Journal of allergy and clinical immunology.

[29]  M. Wechsler Managing asthma in primary care: putting new guideline recommendations into context. , 2009, Mayo Clinic proceedings.

[30]  J. Bourbeau,et al.  Patient adherence in COPD , 2008, Thorax.

[31]  M. Pladevall,et al.  When More Is Not Better: Treatment Intensification Among Hypertensive Patients With Poor Medication Adherence , 2008, Circulation.

[32]  M. Beauchesne,et al.  Use of inhaled corticosteroids during the first trimester of pregnancy and the risk of congenital malformations among women with asthma , 2006, Thorax.

[33]  M. Beauchesne,et al.  Socioeconomic status and medication prescription patterns in pediatric asthma in Canada. , 2006, The Journal of adolescent health : official publication of the Society for Adolescent Medicine.

[34]  M. Dimatteo,et al.  The challenge of patient adherence , 2005, Therapeutics and clinical risk management.

[35]  M. Beauchesne,et al.  Use of inhaled corticosteroids during pregnancy and risk of pregnancy induced hypertension: nested case-control study , 2005, BMJ : British Medical Journal.

[36]  Ngaire Kerse,et al.  Physician-Patient Relationship and Medication Compliance: A Primary Care Investigation , 2004, The Annals of Family Medicine.

[37]  J. Morse,et al.  Verification Strategies for Establishing Reliability and Validity in Qualitative Research , 2002 .

[38]  Jennifer Attride-Stirling Thematic networks: an analytic tool for qualitative research , 2001 .

[39]  L. Hendeles,et al.  Telephoning the patient's pharmacy to assess adherence with asthma medications by measuring refill rate for prescriptions. , 2000, The Journal of pediatrics.

[40]  Pierre Ernst,et al.  Canadian asthma consensus report, 1999 , 1999 .

[41]  L. Boulet,et al.  Summary of recommendations from the Canadian Asthma Consensus Report, 1999 , 1999 .

[42]  M. Beauchesne,et al.  Assessing adherence to inhaled corticosteroids in asthma patients using an integrated measure based on primary and secondary adherence , 2016, European Journal of Clinical Pharmacology.

[43]  H. Turunen,et al.  Theme development in qualitative content analysis and thematic analysis , 2016 .

[44]  David-Olivier Jaquet-Chiffelle,et al.  Centralised versus Decentralised Management of Patients' Medical Records , 2009, MIE.

[45]  N. Thorogood,et al.  Qualitative methods for health research , 2004 .

[46]  V. Braun,et al.  Please Scroll down for Article Qualitative Research in Psychology Using Thematic Analysis in Psychology , 2022 .