Development and validation of a questionnaire to determine medical orders non-adherence: a sequential exploratory mixed-method study

Development and validation of the 15-STARS - A novel self-report pharmacy-based questionnaire to screen for medication non-adherence

BACKGROUND

Published scales measuring medication adherence are myriad. There is a need for a tool that guides towards downstream adherence interventions.

OBJECTIVE

To develop and validate a self-report questionnaire able to detect modifiable determinants of medication non-adherence.

METHODS

Workshops, surveys and meetings were used to identify items. Validation was performed in French and German (Switzerland) between March and April 2022. Face validation, content validation, construct validation, internal consistency and test-retest reliability were assessed. The questionnaire was finalized in August 2022.

RESULTS

The first draft in English included 13 items divided into four areas. Following translation, validation was performed with 144 patients (63 German-, 81 French-speaking) who were recruited in 35 community pharmacies. Acceptability was good (<5% missing data). Psychometric properties were acceptable with good content validity and moderate construct validity. Internal consistency was acceptable for the French version (Cronbach's alpha = 0.71 [item 1-5] - 0.61 [item 6-9]) and less acceptable for the German version (Cronbach's alpha = 0.43 [item 1-5] - 0.45 [item 6-9]). Test-retest was given for all items (r = 0.52 to 1.0) except item 10 in French (r = 0.25). The final instrument is a 15-item questionnaire called the 15-STARS (Screening Tool for AdheRence to medicineS) that assesses practical difficulties with medicine use, reasons for non-adherence, doses missed, and need for further help.

CONCLUSIONS

Our findings support the validity and clinical utility of the 15-STARS questionnaire. Reliability was inconclusive due to incoherent internal consistency, but explainable by the single-item nature of the scale. This new tool will enable the detection of patients who experience difficulties that negatively influence medication adherence. Pharmacists will be able to propose specific and tailored adherence interventions to the patients. Next steps will focus on evaluating its usefulness for developing targeted interventions that optimize medication adherence in routine care and research settings.

Beliefs about Medicines and the Level of Intentional Non-Adherence to Treatment among Patients with Multiple Sclerosis Treated with First-Line Drugs

INTRODUCTION

Multiple sclerosis (MS) is a chronic inflammatory, demyelinating and neurodegenerative disease of the central nervous system. MS has no curable disease but drug modifying therapy (DMT) can delay the long-term disability progression of the disease. The effectiveness of MS treatment depends on the patient's adherence to therapy.

AIM

This study evaluated the level of intentional non-adherence and the relationship between beliefs about medication and the level of intentional non-adherence to treatment of patients with multiple sclerosis.

MATERIAL AND METHODS

A group of 146 patients with relapsing-remitting MS were included. To assess different aspect of adherence, the Intentional Non-Adherence Scale (INAS) was used. For evaluating patients' beliefs and opinions regarding medication, the Beliefs about Medicines Questionnaire (BMQ) was used.

RESULTS

The mean total INAS score was 51.41 ± 27.83 points. Patients were most concerned about the necessity to take medication and least concerned about the harm caused by medication. The overuse and harm domains of the BMQ were significantly correlated with INAS scores (p < 0.05).

CONCLUSIONS

Independent determinant of intentional non-adherence was overuse.

Bad things can happen: are medical students aware of patient centered care and safety?

Objectives

Quality and safety in healthcare are of the utmost importance, but little is known about whether undergraduate students are aware of patient safety concepts. The objectives of our study were to assess the perception of medical students of challenges in patient safety, and collect their perceptions of error management and prevention.

Methods

This study used an exploratory mixed method strategy. The first study phase collected data from semi-structured interviews of 28 students. Based on this, an online survey was constructed and sent to about 80,000 medical students in Germany. 1053 replies were received and analyzed for responses based on gender, curriculum type (problem based [PBC] vs. science based curriculum [SBC]) and years of training.

Results

Most students understand the importance of patient safety, error avoidance, and the challenges of patient safety interventions. Four themes were identified: (a) the culture of patient safety (what is a good doctor? Doctors’ responsibility), (b) the working environment (the inevitability of mistakes, high work load, hierarchy, competition, teamwork), (c) the challenges of risk reduction (error avoidance, management, skills), and (d) materialistic issue (income vs. humanistic values). Female students were more risk aware than male students. Sixteen percent of students expect negative effects (e.g. punishment) when medical errors were disclosed in a team. Regardless, >70% regard teamwork as an effective error avoidance measure. Error disclosure willingness was high (89.7%).

Conclusions

Although not formally part of the curriculum, students had a positive perspective concerning patient safety. The opportunities and challenges for incorporating patient safety content into the training curriculum were identified and presented.

Millennials Medical Students Generation at the Crosswalks: Motivations and Attitudes Towards Study and Future Career - A Mixed-Method Study

BACKGROUND AND OBJECTIVES

The aim of this study was to investigate in the millennium medical student generation the influence of the curriculum (problem-based curriculum [PBC] vs science-based curriculum [SBC]), gender and semester level on medical students' motives to study medicine, their attitudes toward their career and in this regard their view about their study condition in university.

METHODS

Semi-structured qualitative interviews with 28 medical students were performed and analyzed using Mayring's content analysis. Based on these results, a quantitative questionnaire for a nationwide survey was developed using a mixed-method-approach and send to most medical faculties in Germany. Data from n=1053 students entered statistical analysis.

RESULTS

Humanistic ideals prevailed in the choice to enter medical school and to become a physician. PBC students were found to be significantly (p<0.001) more idealistic and patient oriented, and they regard their curriculum more competitive than SBC-students (p<0.001). A balanced work and family life is essential for all students but particularly important for the PBC - group, male and undergraduate students. The majority of students wanted to work with patients and omitted patient-distant line of work. Undergraduate SBC-students saw their studies as old-fashioned citing lack of patient contact (p<0.001 compared to PBC), which eased in the graduate study part.

CONCLUSION

This study found major differences in student's perceptions depending on curriculum type. PBC-students were more idealistic, and humanistic ideals prevailed in comparison to SBC. For both, close patient contact is essential in their training. Particularly for female students, lifestyle factors and a balanced work-life-integration outweigh career ambitiousness. This study offers an important insight to policy makers and educators to understand the motivation and perceptions of the millennial student generation regarding their studies and future career plans, which should be considered in educational policies.

Patient-reported outcome measures to detect intentional, mixed, or unintentional non-adherence to medication: a systematic review

OBJECTIVE

To categorise patient-reported outcome measures (PROMs) into their propensity to detect intentional and/or unintentional non-adherence to medication, and synthesise their psychometric properties.

DESIGN

Systematic review and regression analysis.

ELIGIBILITY

Medication adherence levels studied at primary, secondary and tertiary care settings. Self-reported measures with scoring methods were included. Studies without proxy measures were excluded.

DATA SOURCES

Using detailed searches with key concepts including questionnaires, reliability and validity, and restricted to English, MEDLINE, EMBASE, CINAHL, International Pharmaceutical Abstracts, and Cochrane Library were searched until 01 March 2022. Preferred Reporting Items for Systematic Reviews and Meta-Analyses 2020 (PRISMA-2020) checklist was used.

DATA ANALYSIS

Risk of bias was assessed via COnsensus-based Standards for the selection of health Measurement INstruments (COSMIN-2018) guidelines. Narrative synthesis aided by graphical figures and statistical analyses.

OUTCOME MEASURES

Process domains [behaviour (e.g., self-efficacy), barrier (e.g., impaired dexterity) or belief (e.g., perception)], and overall outcome domains of either intentional (I), unintentional (UI), or mixed non-adherence.

RESULTS

Paper summarises evidence from 59 studies of PROMs, validated among patients aged 18-88 years in America, the United Kingdom, Europe, Middle East, and Australasia. PROMs detected outcome domains: intentional non-adherence, n=44 (I=491 criterion items), mixed intentionality, n=13 (I=79/UI=50), and unintentional, n=2 (UI=5). Process domains detected include belief (383 criterion items), barrier (192) and behaviour (165). Criterion validity assessment used proxy measures (biomarkers, e-monitors), and scoring was ordinal, dichotomised, or used Visual Analogue Scale. Heterogeneity was revealed across psychometric properties (consistency, construct, reliability, discrimination ability). Intentionality correlated positively with negative beliefs (r(57)=0.88) and barriers (r(57)=0.59). For every belief or barrier criterion-item, PROMs' aptitude to detect intentional non-adherence increased by β=0.79 and β=0.34 units, respectively (R²=0.94). Primary care versus specialised care predicted intentional non-adherence (OR 1.9; CI 1.01 to 2.66).

CONCLUSIONS

Ten PROMs had adequate psychometric properties. Of the ten, eight PROMs were able to detect total, and two PROMs were able to detect partial intentionality to medication default. Fortification of patients' knowledge and illness perception, as opposed to daily reminders alone, is most imperative at primary care levels.

Medical Students' Perceptions towards Digitization and Artificial Intelligence: A Mixed-Methods Study

Digital technologies in health care, including artificial intelligence (AI) and robotics, constantly increase. The aim of this study was to explore attitudes of 2020 medical students’ generation towards various aspects of eHealth technologies with the focus on AI using an exploratory sequential mixed-method analysis. Data from semi-structured interviews with 28 students from five medical faculties were used to construct an online survey send to about 80,000 medical students in Germany. Most students expressed positive attitudes towards digital applications in medicine. Students with a problem-based curriculum (PBC) in contrast to those with a science-based curriculum (SBC) and male undergraduate students think that AI solutions result in better diagnosis than those from physicians (p < 0.001). Male undergraduate students had the most positive view of AI (p < 0.002). Around 38% of the students felt ill-prepared and could not answer AI-related questions because digitization in medicine and AI are not a formal part of the medical curriculum. AI rating regarding the usefulness in diagnostics differed significantly between groups. Higher emphasis in medical curriculum of digital solutions in patient care is postulated.