Greater temporal regularity of primary care visits was associated with reduced hospitalizations and mortality, even after controlling for continuity of care.

BACKGROUND: Previous studies have shown that more temporally regular primary care visits are associated with improved patient outcomes. OBJECTIVE: To examine the association of temporal regularity (TR) of primary care with hospitalizations and mortality in patients with chronic illnesses. Also, to identify threshold values for TR for predicting outcomes. DESIGN: Retrospective cohort study. PARTICIPANTS: We used data from the electronic health record of a health maintenance organization in Israel to study primary care visits of 70,095 patients age 40 + with one of three chronic conditions (diabetes mellitus, heart failure, chronic obstructive pulmonary disease). MAIN MEASURES: We calculated TR for each patient during a two-year period (2016-2017), and divided patients into quintiles based on TR. Outcomes (hospitalization, death) were observed in 2018-2019. Covariates included the Bice-Boxerman continuity of care score, demographics, and comorbidities. We used multivariable logistic regression to examine TR's association with hospitalization and death, controlling for covariates. KEY RESULTS: Compared to patients receiving the most regular care, patients receiving less regular care had increased odds of hospitalization and mortality, with a dose-response curve observed across quintiles (p for linear trend < 0.001). For example, patients with the least regular care had an adjusted odds ratio of 1.40 for all-cause mortality, compared to patients with the most regular care. Analyses stratified by age, sex, ethnic group, area-level SES, and certain comorbid conditions did not show strong differential associations of TR across groups. CONCLUSIONS: We found an association between more temporally regular care in antecedent years and reduced hospitalization and mortality of patients with chronic illness in subsequent years, after controlling for covariates. There was no clear threshold value for temporal regularity; rather, more regular primary care appeared to be better across the entire range of the variable.

Patient-level predictors of temporal regularity of primary care visits.

BACKGROUND: Patients with chronic diseases should meet with their primary care doctor regularly to facilitate proactive care. Little is known about what factors are associated with more regular follow-up. METHODS: We studied 70,095 patients age 40 + with one of three chronic conditions (diabetes mellitus, heart failure, chronic obstructive pulmonary disease), cared for by Leumit Health Services, an Israeli health maintenance organization. Patients were divided into the quintile with the least temporally regular care (i.e., the most irregular intervals between visits) vs. the other four quintiles. We examined patient-level predictors of being in the least-temporally-regular quintile. We calculated the risk-adjusted regularity of care at 239 LHS clinics with at least 30 patients. For each clinic, compared the number of patients with the least temporally regular care with the number predicted to be in this group based on patient characteristics. RESULTS: Compared to older patients, younger patients (age 40-49), were more likely to be in the least-temporally-regular group. For example, age 70-79 had an adjusted odds ratio (AOR) of 0.82 compared to age 40-49 (p < 0.001 for all findings discussed here). Males were more likely to be in the least-regular group (AOR 1.18). Patients with previous myocardial infarction (AOR 1.07), atrial fibrillation (AOR 1.08), and current smokers (AOR 1.12) were more likely to have an irregular pattern of care. In contrast, patients with diabetes (AOR 0.79) or osteoporosis (AOR 0.86) were less likely to have an irregular pattern of care. Clinic-level number of patients with irregular care, compared with the predicted number, ranged from 0.36 (fewer patients with temporally irregular care) to 1.71 (more patients). CONCLUSIONS: Some patient characteristics are associated with more or less temporally regular patterns of primary care visits. Clinics vary widely on the number of patients with a temporally irregular pattern of care, after adjusting for patient characteristics. Health systems can use the patient-level model to identify patients at high risk for temporally irregular patterns of primary care. The next step is to examine which strategies are employed by clinics that achieve the most temporally regular care, since these strategies may be possible to emulate elsewhere.

How does work environment relate to diagnostic quality? A prospective, mixed methods study in primary care.

OBJECTIVES: The quest to measure and improve diagnosis has proven challenging; new approaches are needed to better understand and measure key elements of the diagnostic process in clinical encounters. The aim of this study was to develop a tool assessing key elements of the diagnostic assessment process and apply it to a series of diagnostic encounters examining clinical notes and encounters' recorded transcripts. Additionally, we aimed to correlate and contextualise these findings with measures of encounter time and physician burnout. DESIGN: We audio-recorded encounters, reviewed their transcripts and associated them with their clinical notes and findings were correlated with concurrent Mini Z Worklife measures and physician burnout. SETTING: Three primary urgent-care settings. PARTICIPANTS: We conducted in-depth evaluations of 28 clinical encounters delivered by seven physicians. RESULTS: Comparing encounter transcripts with clinical notes, in 24 of 28 (86%) there was high note/transcript concordance for the diagnostic elements on our tool. Reliably included elements were red flags (92% of notes/encounters), aetiologies (88%), likelihood/uncertainties (71%) and follow-up contingencies (71%), whereas psychosocial/contextual information (35%) and mentioning common pitfalls (7%) were often missing. In 22% of encounters, follow-up contingencies were in the note, but absent from the recorded encounter. There was a trend for higher burnout scores being associated with physicians less likely to address key diagnosis items, such as psychosocial history/context. CONCLUSIONS: A new tool shows promise as a means of assessing key elements of diagnostic quality in clinical encounters. Work conditions and physician reactions appear to correlate with diagnostic behaviours. Future research should continue to assess relationships between time pressure and diagnostic quality.

Exploring relationships between physician stress, burnout, and diagnostic elements in clinician notes.

OBJECTIVES: To understand the relationship between stressful work environments and patient care by assessing work conditions, burnout, and elements of the diagnostic process. METHODS: Notes and transcripts of audiotaped encounters were assessed for verbal and written documentation related to psychosocial data, differential diagnosis, acknowledgement of uncertainty, and other diagnosis-relevant contextual elements using 5-point Likert scales in seven primary care physicians (PCPs) and 28 patients in urgent care settings. Encounter time spent vs time needed (time pressure) was collected from time stamps and clinician surveys. Study physicians completed surveys on stress, burnout, and work conditions using the Mini-Z survey. RESULTS: Physicians with high stress or burnout were less likely to record psychosocial information in transcripts and notes (psychosocial information noted in 0% of encounters in 4 high stress/burned-out physicians), whereas low stress physicians (n=3) recorded psychosocial information consistently in 67% of encounters. Burned-out physicians discussed a differential diagnosis in only 31% of encounters (low counts concentrated in two physicians) vs. in 73% of non-burned-out doctors' encounters. Burned-out and non-burned-out doctors spent comparable amounts of time with patients (about 25 min). CONCLUSIONS: Key diagnostic elements were seen less often in encounter transcripts and notes in burned-out urgent care physicians.

Developing a Framework and Electronic Tool for Communicating Diagnostic Uncertainty in Primary Care: A Qualitative Study.

Importance: Communication of information has emerged as a critical component of diagnostic quality. Communication of diagnostic uncertainty represents a key but inadequately examined element of diagnosis. Objective: To identify key elements facilitating understanding and managing diagnostic uncertainty, examine optimal ways to convey uncertainty to patients, and develop and test a novel tool to communicate diagnostic uncertainty in actual clinical encounters. Design, Setting, and Participants: A 5-stage qualitative study was performed between July 2018 and April 2020, at an academic primary care clinic in Boston, Massachusetts, with a convenience sample of 24 primary care physicians (PCPs), 40 patients, and 5 informatics and quality/safety experts. First, a literature review and panel discussion with PCPs were conducted and 4 clinical vignettes of typical diagnostic uncertainty scenarios were developed. Second, these scenarios were tested during think-aloud simulated encounters with expert PCPs to iteratively draft a patient leaflet and a clinician guide. Third, the leaflet content was evaluated with 3 patient focus groups. Fourth, additional feedback was obtained from PCPs and informatics experts to iteratively redesign the leaflet content and workflow. Fifth, the refined leaflet was integrated into an electronic health record voice-enabled dictation template that was tested by 2 PCPs during 15 patient encounters for new diagnostic problems. Data were thematically analyzed using qualitative analysis software. Main Outcomes and Measures: Perceptions and testing of content, feasibility, usability, and satisfaction with a prototype tool for communicating diagnostic uncertainty to patients. Results: Overall, 69 participants were interviewed. A clinician guide and a diagnostic uncertainty communication tool were developed based on the PCP interviews and patient feedback. The optimal tool requirements included 6 key domains: most likely diagnosis, follow-up plan, test limitations, expected improvement, contact information, and space for patient input. Patient feedback on the leaflet was iteratively incorporated into 4 successive versions, culminating in a successfully piloted prototype tool as an end-of-visit voice recognition dictation template with high levels of patient satisfaction for 15 patients with whom the tool was tested. Conclusions and Relevance: In this qualitative study, a diagnostic uncertainty communication tool was successfully designed and implemented during clinical encounters. The tool demonstrated good workflow integration and patient satisfaction.

Vaccine hesitancy among health-care professionals in the era of COVID-19.

Health-care professionals (HCPs) are key trusted figures in addressing coronavirus disease 2019 (COVID-19) challenges. They are thought to influence others' health decisions by personal example. However, during the COVID-19 crisis, some HCPs hesitated to be vaccinated. We examined factors contributing to that decision. We performed 12 semi-structured interviews, between February and May 2021, with Israeli HCPs who had declined or delayed COVID-19 vaccination. Three coders conducted a combined top-down and bottom-up analysis. We identified four main themes shaping vaccine decision-making: (i) sources of information, (ii) perceptions of necessity and risks of the vaccine, (iii) individual versus collective responsibility and (iv) political climate and media influence. Participants were worried about long-term effectiveness and safety, and while many agreed that high-risk populations should be vaccinated, all considered themselves to be at low risk for serious disease. Some felt they should avoid taking a perceived risk (accepting a new vaccine) to protect society, although they felt pressured to do so. Vaccination campaign politization and the way the media approached the subject also contributed to mistrust and hesitancy to be vaccinated. These findings help us understand HCP beliefs and uncertainties about COVID-19 vaccinations. This study can help inform future campaigns targeted at HCPs to promote the acceptance of vaccines.

Pharmacists' role in detection and evaluation of adverse drug reactions: Developing proactive systems for pharmacosurveillance.

PURPOSE: To identify current challenges in detection of medication-related symptoms, and review technology-based opportunities to increase the patient-centeredness of postmarketing pharmacosurveillance to promote more accountable, safer, patient-friendly, and equitable medication prescribing. SUMMARY: Pharmacists have an important role to play in detection and evaluation of adverse drug reactions (ADRs). The pharmacist's role in medication management should extend beyond simply dispensing drugs, and this article delineates the rationale and proactive approaches for pharmacist detection and assessment of ADRs. We describe a stepwise approach for assessment, best practices, and lessons learned from a pharmacist-led randomized trial, the CEDAR (Calling for Detection of Adverse Drug Reactions) project. CONCLUSION: Health systems need to be redesigned to more fully utilize health information technologies and pharmacists in detecting and responding to ADRs.

Improving diagnosis: adding context to cognition.

BACKGROUND: The environment in which clinicians provide care and think about their patients is a crucial and undervalued component of the diagnostic process. CONTENT: In this paper, we propose a new conceptual model that links work conditions to clinician responses such as stress and burnout, which in turn impacts the quality of the diagnostic process and finally patient diagnostic outcomes. The mechanism for these interactions critically depends on the relationship between working memory (WM) and long-term memory (LTM), and ways WM and LTM interactions are affected by working conditions. SUMMARY: We propose a conceptual model to guide interventions to improve work conditions, clinician reactions and ultimately diagnostic process, accuracy and outcomes. OUTLOOK: Improving diagnosis can be accomplished if we are able to understand, measure and increase our knowledge of the context of care.

Anatomy of diagnosis in a clinical encounter: how clinicians discuss uncertainty with patients.

BACKGROUND: Studies consider the clinical encounter as linear, comprising six phases (opening, problem presentation, history-taking, physical examination, diagnosis, treatment and closing). This study utilizes formal conversation analysis to explore patient-physician interactions and understanding diagnostic utterances during these phases. METHODS: This study is a qualitative sub-analysis that explores how the diagnosis process, along with diagnostic uncertainty, are addressed during 28 urgent care visits. We analyzed physicians' hypothesis-generation process by focusing on: location of diagnostic utterances during the encounter; whether certain/uncertain diagnostic utterances were revised throughout the encounter; and how physicians tested their hypothesis-generation and managed uncertainty. We recruited 7 primary care physicians (PCPs) and their 28 patients from Brigham and Women's Hospital (BWH) in 3 urgent care settings. Encounters were audiotaped, transcribed, and coded using NVivo12 qualitative data analysis software. Data were analyzed inductively and deductively, using formal content and conversation analysis. RESULTS: We identified 62 diagnostic communication utterances in 12 different clinical situations. In most (24/28, 86%) encounters, the diagnosis process was initiated before the diagnosis phase (57% during history taking and 64% during physical examination). In 17 encounters (61%), a distinct diagnosis phase was not observed. Findings show that the diagnosis process is nonlinear in two ways. First, nonlinearity was observed when diagnostic utterances occurred throughout the encounter, with the six encounter phases overlapping, integrating elements of one phase with another. Second, nonlinearity was noted with respect to the resolution of diagnostic uncertainty, with physicians acknowledging uncertainty when explaining their diagnostic reasoning, even during brief encounters. CONCLUSIONS: Diagnosis is often more interactive and nonlinear, and expressions of diagnostic assessments can occur at any point during an encounter, allowing more flexible and potentially more patient-centered communication. These findings are relevant for physicians' training programs and helping clinicians improve their communication skills in managing uncertain diagnoses.

Power dynamics in doctor-patient relationships: A qualitative study examining how cultural and personal relationships facilitate medication requests in a minority with collectivist attributes.

INTRODUCTION: This study examines personal patient-doctor relationships in a minority with collectivist attributes that facilitate medically inappropriate requests of patients. METHODS: Personal interviews were conducted with 56 (27 family doctors/ 29 patients) members of the Arab minority in Israel. The interviews were transcribed, and thematically analyzed by two coders. FINDINGS: Collectivist attributes and long-term patient-doctor relationships, patients' close and mostly familial affiliation to the doctor, and informal policies of recruiting members to sick funds by doctors could result in shifting power dynamics in patients' favor and enhance their confidence to request treatments from their doctor. CONCLUSIONS: The present study highlights examining closely-knit patient-doctor relationships in a society with collectivist attributes that foster and reinforce patients' requests. These personal relationships challenge patient-doctor partnerships and the patient-centeredness approach. Instead of collaborating and discussing whether a treatment is needed, patients might pressure for inappropriate treatments and doctors accede. These relationships can be channelled to promote patient centeredness and patient-doctor collaboration. PRACTICAL IMPLICATIONS: Programs promoting prudent provision of treatments can emphasize that collectivist attributes and personal relationships challenge professional boundaries in patient-doctor relationships. Also, doctors' experiences dealing with patients' pressures to prescribe medications, could serve as a base for these programs.

'Nesef Doctora'-When mothers are considered to be 'half-doctors': Self-medication with antibiotics and gender roles in the Arab society in Israel.

This qualitative study focuses on self-medication with antibiotics as it relates to gender roles and traditions in the Arab society in Israel, a collectivist minority with defined traditional gender norms. Its findings draw on the analysis of 116 face-to-face interviews with 60 pharmacists, 27 primary care physicians and 29 community members, mainly mothers and unmarried women, from different geographical localities. The findings describe how mothers are assigned the role of the family health caretakers, expected to abide to a hierarchical power structure, and listen to the advice of 'senior mothers'. These expectations can lead to mothers self-medicating their children and themselves with antibiotics. Traditional constraints associated with sexuality were also found to compel unmarried women to self-medicate. The findings point to a duality of power in family relations: women submit to having limited power in traditional gender roles but are accorded power as medical experts in health-care decision-making. The study concludes with recommendations for considering sociocultural factors of hierarchy, traditions and collectivist orientation when researching self-care patterns and developing interventions to curtail antibiotics overuse. It also points to the importance of recognising pressures exerted on unmarried women and enabling them to use health-care resources in their community for managing sexual health.