Know thy eHealth user: Development of biopsychosocial personas from a study of older adults with heart failure

BACKGROUND: Personas are a canonical user-centered design method increasingly used in health informatics research. Personas-empirically-derived user archetypes-can be used by eHealth designers to gain a robust understanding of their target end users such as patients. OBJECTIVE: To develop biopsychosocial personas of older patients with heart failure using quantitative analysis of survey data. METHOD: Data were collected using standardized surveys and medical record abstraction from 32 older adults with heart failure recently hospitalized for acute heart failure exacerbation. Hierarchical cluster analysis was performed on a final dataset of n=30. Nonparametric analyses were used to identify differences between clusters on 30 clustering variables and seven outcome variables. RESULTS: Six clusters were produced, ranging in size from two to eight patients per cluster. Clusters differed significantly on these biopsychosocial domains and subdomains: demographics (age, sex); medical status (comorbid diabetes); functional status (exhaustion, household work ability, hygiene care ability, physical ability); psychological status (depression, health literacy, numeracy); technology (Internet availability); healthcare system (visit by home healthcare, trust in providers); social context (informal caregiver support, cohabitation, marital status); and economic context (employment status). Tabular and narrative persona descriptions provide an easy reference guide for informatics designers. DISCUSSION: Personas development using approaches such as clustering of structured survey data is an important tool for health informatics professionals. We describe insights from our study of patients with heart failure, then recommend a generic ten-step personas development process. Methods strengths and limitations of the study and of personas development generally are discussed

Development and evaluation of a medication counseling workshop for physicians: can we improve on ‘take two pills and call me in the morning’?

Physicians often do not provide adequate medication counseling.To develop and evaluate an educational program to improve physicians’ assessment of adherence and their medication counseling skills, with attention to health literacy.We compared internal medicine residents’ confidence and counseling behaviors, measured by self-report at baseline and one month after participation in a two-hour interactive workshop.Fifty-four residents participated; 35 (65%) completed the follow-up survey. One month after training, residents reported improved confidence in assessing and counseling patients (p<0.001), including those with low health literacy (p<0.001). Residents also reported more frequent use of desirable behaviors, such as assessing patients’ medication understanding and adherence barriers (p<0.05 for each), addressing costs when prescribing (p<0.01), suggesting adherence aids (p<0.01), and confirming patient understanding with teach-back (p<0.05).A medication counseling workshop significantly improved residents’ self-reported confidence and behaviors regarding medication counseling one month later

Factors related to barriers and medication adherence in patients with type 2 diabetes mellitus: a cross-sectional study

Purpose Evidence has shown that 50% of patients, including type 2 diabetes mellitus (DM), are non-adherent to the prescribed antidiabetic medication regimen. Some barriers lead to nonadherence in people with DM type 2. The study aimed to identify factors related to adherence in patient with DM and to assess the correlation between barriers to adherence type 2 DM patients. Methods The cross-sectional study was conducted in 63 primary healthcare centers in Surabaya, Indonesia. Patients with DM type 2 were recruited between April and September 2019 using convenient sampling technique. Ethics approval was obtained (80/EA/KEPK/2019). Results A total of 266 patients with type 2 DM participated in this study. Of the respondents, 201 (75.2%) were female. Unwanted drug effects, changes in medication regimens, and refilling the prescription when the drugs run out were most reported factors that affected adherence. Spearman correlations and linear regression tests were used to examine the relationship between barriers to medication adherence, and education with medication adherence. A significant difference was observed between the level of education and adherence (p = 0.031). The results showed an association between barriers to medication and adherence to medication (r = 0.304; p < 0.001) which was confirmed in regression analysis (R = 0.309, R square = 0.095, p <0.001). Conclusions Barriers to adherence are common and affect adherence to therapy. It is essential to expand the roles of health care professionals in the community to include counseling, barrier-monitoring, education, and problem-solving to improve patient medication adherence

Design of MARQUIS2: study protocol for a mentored implementation study of an evidence-based toolkit to improve patient safety through medication reconciliation.

BackgroundThe first Multi-center Medication Reconciliation Quality Improvement Study (MARQUIS1) demonstrated that implementation of a medication reconciliation best practices toolkit decreased total unintentional medication discrepancies in five hospitals. We sought to implement the MARQUIS toolkit in more diverse hospitals, incorporating lessons learned from MARQUIS1.MethodsMARQUIS2 is a pragmatic, mentored implementation QI study which collected clinical and implementation outcomes. Sites implemented a revised toolkit, which included interventions from these domains: 1) best possible medication history (BPMH)-taking; 2) discharge medication reconciliation and patient/caregiver counseling; 3) identifying and defining clinician roles and responsibilities; 4) risk stratification; 5) health information technology improvements; 6) improved access to medication sources; 7) identification and correction of real-time discrepancies; and, 8) stakeholder engagement. Eight hospitalists mentored the sites via one site visit and monthly phone calls over the 18-month intervention period. Each site's local QI team assessed opportunities to improve, implemented at least one of the 17 toolkit components, and accessed a variety of resources (e.g. implementation manual, webinars, and workshops). Outcomes to be assessed will include unintentional medication discrepancies per patient.DiscussionA mentored multi-center medication reconciliation QI initiative using a best practices toolkit was successfully implemented across 18 medical centers. The 18 participating sites varied in size, teaching status, location, and electronic health record (EHR) platform. We introduce barriers to implementation and lessons learned from MARQUIS1, such as the importance of utilizing dedicated, trained medication history takers, simple EHR solutions, clarifying roles and responsibilities, and the input of patients and families when improving medication reconciliation

Rationale and design of the Multicenter Medication Reconciliation Quality Improvement Study (MARQUIS)

Background: Unresolved medication discrepancies during hospitalization can contribute to adverse drug events, resulting in patient harm. Discrepancies can be reduced by performing medication reconciliation; however, effective implementation of medication reconciliation has proven to be challenging. The goals of the Multi-Center Medication Reconciliation Quality Improvement Study (MARQUIS) are to operationalize best practices for inpatient medication reconciliation, test their effect on potentially harmful unintentional medication discrepancies, and understand barriers and facilitators of successful implementation. Methods: Six U.S. hospitals are participating in this quality improvement mentored implementation study. Each hospital has collected baseline data on the primary outcome: the number of potentially harmful unintentional medication discrepancies per patient, as determined by a trained on-site pharmacist taking a “gold standard” medication history. With the guidance of their mentors, each site has also begun to implement one or more of 11 best practices to improve medication reconciliation. To understand the effect of the implemented interventions on hospital staff and culture, we are performing mixed methods program evaluation including surveys, interviews, and focus groups of front line staff and hospital leaders. Discussion At baseline the number of unintentional medication discrepancies in admission and discharge orders per patient varies by site from 2.35 to 4.67 (mean=3.35). Most discrepancies are due to history errors (mean 2.12 per patient) as opposed to reconciliation errors (mean 1.23 per patient). Potentially harmful medication discrepancies averages 0.45 per patient and varies by site from 0.13 to 0.82 per patient. We discuss several barriers to implementation encountered thus far. In the end, we anticipate that MARQUIS tools and lessons learned have the potential to decrease medication discrepancies and improve patient outcomes. Trial registration Clinicaltrials.gov identifier NCT0133706