The validity of diagnostic algorithms to identify asthma patients in healthcare administrative databases: a systematic literature review.

Objectives To review the available evidence supporting the validity of algorithms to identify asthma patients in healthcare administrative databases.Methods A systematic literature search was conducted on multiple databases from inception to March 2020 to identify studies that reported the validity of case-finding asthma algorithms applied to healthcare administrative data. Following an initial screening of abstracts, two investigators independently assessed the full text of studies which met the pre-determined eligibility criteria. Data on study population and algorithm characteristics were extracted. A revised version of the Quality Assessment of Diagnostic Accuracy Studies tool was used to evaluate the risk of bias and generalizability of studies.Results: A total of 20 studies met the eligibility criteria. Algorithms which incorporated ≥1 diagnostic code for asthma over a 1-year period appeared to be valid in both adult and pediatric populations (sensitivity ≥ 85%; specificity ≥ 89%; PPV ≥ 70%). The validity was enhanced when: (1) the time frame to capture asthma cases was increased to two years; (2) ≥2 asthma diagnostic codes were considered; and (3) when diagnoses were recorded by a pulmonologist. Algorithms which integrated pharmacy claims data appeared to correctly identify asthma patients; however, the extent to which asthma medications can improve the validity remains unclear. The quality of several studies was high, although disease progression bias and biases related to self-reported data was observed in some studies.ConclusionsHealthcare administrative databases are adequate sources to identify asthma patients. More restrictive definitions based on both asthma diagnoses and asthma medications may enhance validity, although further research is required to confirm this hypothesis.

Monitoring and managing medication adherence in community pharmacies in Quebec, Canada.

BACKGROUND: Community pharmacists have direct access to prescription refill information and regularly interact with their patients. Therefore, they are in a unique position to promote optimal medication use. OBJECTIVES: To describe how community pharmacists in Quebec, Canada, identify nonadherent patients, monitor medication use and promote optimal medication adherence. METHODS: An invitation to complete a web-based survey was published online through different platforms, including a Facebook pharmacists' group, an electronic newsletter, a pharmacy network forum and e-mail. The survey included questions on participant characteristics, methods used by pharmacists to identify nonadherent patients and monitor medication use and interventions they used to promote medication adherence. RESULTS: In total, 342 community pharmacists completed the survey. The participants were mainly women (71.6%), staff pharmacists (56.7%) and aged 30 to 39 years (34.2%). The most common method to identify nonadherent patients was to check gaps between prescription refills (98.8%). The most common intervention to promote adherence was patient counselling (82.5%). The most common barriers to identifying nonadherent patients were lack of time (73.1%) and lack of prescription information (65.8%), whereas the most common barriers to intervening were anticipation of a negative reaction from their patients (91.2%) and lack of time (64%). CONCLUSION: Lack of time and lack of prescription information are frequent challenges encountered by community pharmacists regarding effective monitoring and management of patients with poor medication adherence. Pharmacists could benefit from electronic tools based on prescription refills that would provide quick and easily interpretable information on their patients' medication adherence. Can Pharm J (Ott) 2020;153:xx-xx.

Development of a graphical tool to measure medication adherence in asthma patients: A mixed-methods pilot study.

OBJECTIVES: ( 1 ) To develop Med-Resp, a graphical tool based on prescription refills to measure adherence and use of asthma medications; ( 2 ) To test the feasibility of implementing Med-Resp in a hospital outpatient asthma clinic; ( 3 ) To explore the effectiveness of Med-Resp to improve medication adherence to asthma controller medications. METHODS: A sequential exploratory design was used: ( 1 ) Prototype design in collaboration with respiratory physicians and patients via focus groups; ( 2 ) Med-Resp creation based on algorithms developed and applied to prescription refills data recorded in the drug claims database reMed; ( 3 ) Feasibility assessment of the implementation of Med-Resp in the outpatient asthma clinic; and ( 4 ) Exploration of the effectiveness of Med-Resp through a pre-post design. RESULTS: A total of 29 patients and six respiratory physicians participated in this pilot study. The tool was highly appreciated by the participants, while the majority believed that Med-Resp has the potential to enhance physician-patient communication and aid in treatment decisions. The feasibility of implementing Med-Resp in clinical practice was demonstrated. However, we did not observe an increase in medication adherence in the six months following its implementation. CONCLUSION: In the clinical setting, the use of prescription refills data may constitute a non-invasive and objective measure of medication adherence. This study highlights the importance of providing clinicians with objective and easily interpretable measures of medication adherence and use in routine clinical practice. Med-Resp has the potential to become implemented on a larger scale if integrated in electronic medical records.

Feasibility of implementing a web-based tool built from pharmacy claims data (e-MEDRESP) to monitor adherence to respiratory medications in primary care.

OBJECTIVE: e-MEDRESP is a novel web-based tool that provides easily interpretable information on patient adherence to asthma/chronic obstructive pulmonary disease (COPD) medications, using pharmacy claims data. This study investigated the feasibility of implementing e-MEDRESP in primary care. MATERIAL AND METHODS: In this 16-month prospective cohort study, e-MEDRESP was integrated into electronic medical records. Nineteen family physicians and 346 of their patients were enrolled. Counters embedded in the tool tracked physician use during the follow-up. Patient/physician satisfaction with e-MEDRESP was evaluated though telephone interviews and online questionnaires. The capacity of e-MEDRESP to improve adherence was explored using a pre-post analysis. RESULTS: Overall, 245 patients had at least one medical visit during follow-up. e-MEDRESP was consulted by 15 (79%) physicians for 85 (35%) patients during clinic visits. Seventy-three patients participated in telephone interviews; 84% reported discussing their medication use with their physician; 33% viewed their e-MEDRESP report and indicated that it was easy to interpret. The physicians reported that the tool facilitated their evaluation of their patients' medication adherence (mean ± standard deviation rating: 4.8 ± 0.7, on a 5-point Likert scale). Although the pre-post analysis did not reveal improved adherence in the overall cohort, adherence improved significantly in patients whose adherence level was <80% and who were prescribed inhaled corticosteroids (26.9% [95% CI 14.3-39.3%]) or long-acting muscarinic agents (26.4% [95% CI 12.4-40.2%]). CONCLUSIONS: e-MEDRESP was successfully integrated in clinical practice. It could serve as a useful tool to help physicians monitor their patients' medication adherence.

Development of an electronic tool (e-AdPharm) to address unmet needs and barriers of community pharmacists to provide medication adherence support to patients.

BACKGROUND: Community pharmacists are best placed to improve medication adherence because they frequently interact with patients and have been trained to manage medication-related problems. Therefore, it is essential to equip pharmacists adequately to detect non-adherent patients quickly and intervene to improve medication adherence. OBJECTIVE: To design e-AdPharm, a tool that addresses unmet needs and barriers of community pharmacists to provide medication adherence support to patients with chronic diseases. METHODS: A qualitative study using 4 focus group discussions with community pharmacists was conducted with a semi-structured interview guide and discussions lasting for 1-2 h. The discussions covered the barriers and needs of pharmacists related to medication adherence support provided to patients, their expectations of an electronic tool based on prescription refills to help them provide this support, and the design of the tool. Focus group data were coded and analyzed using an iterative process, with thematic and descriptive analyses. RESULTS: Twenty-six community pharmacists participated. Lack of time and motivation from pharmacists and patients were common barriers to the provision of medication adherence support. Accordingly, community pharmacists wished to measure medication adherence quickly, provide easily interpretable data to patients on their medication use, and raise the patient's awareness of non-adherence. The pharmacists expressed their need to have an electronic tool to share medication adherence information with the treating physician. Regarding the design of e-AdPharm, the pharmacists wanted a table displaying medication adherence with a color code representing adherence level. They also stressed the importance of a structured section enabling them to continuously document the interventions made and the need for patient follow-ups. CONCLUSIONS: e-AdPharm meet the needs and overcome the barriers of community pharmacists to provide medication adherence support to their patients. Future studies should examine the feasibility of implementing e-AdPharm in community pharmacies and test its efficacy for improving medication adherence.

Development of an operational definition of treatment escalation in adults with asthma adapted to healthcare administrative databases: A Delphi study.

BACKGROUND: In recent years, there has been growing interest in studying asthma treatment escalation patterns in the real-world setting, particularly with the advent of expensive biologic therapies. Healthcare administrative claims databases can be used to study treatment escalation patterns at a population-level; however, the reported definitions for claims-based asthma treatment escalation are highly variable in the literature. OBJECTIVE: The aim of this study was to develop an operational definition of treatment escalation in adults with asthma that can be applied to healthcare administrative data. METHODS: A mixed-methods research design incorporating the Delphi process was used to establish an expert consensus for this definition. A multi-disciplinary expert panel participated in three iterative rounds of online questionnaires covering treatment escalation criteria inspired by a systematic review, which was conducted as part of this study. The final definition was constructed using criteria for which a 75% level of agreement was achieved among the experts. RESULTS: We developed a claims-based treatment escalation definition that was adapted from the Global Initiative for Asthma (GINA) strategy. The definition comprised seven treatment steps, as well as escalation options for treatments that are not typically included in clinical guidelines. The definition also incorporated methods to identify treatments in severe asthma, such as oral corticosteroid maintenance therapy and chronic azithromycin use. CONCLUSIONS: The operational definition of treatment escalation developed in this study bridges the gap between clinical guidelines and real-world clinical practice and lays the groundwork for future observational studies on treatment escalation patterns among patients with asthma.

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.