Supporting Health and Medical Decision Making: Findings and Insights from Fuzzy-Trace Theory.

HIGHLIGHTS: Fuzzy-trace theory (FTT) supports practical approaches to improving health and medicine.FTT differs in important respects from other theories of decision making, which has implications for how to help patients, providers, and health communicators.Gist mental representations emphasize categorical distinctions, reflect understanding in context, and help cue values relevant to health and patient care.Understanding the science behind theory is crucial for evidence-based medicine.

Provider-patient communication and hospital ratings: perceived gaps and forward thinking about the effects of COVID-19.

OBJECTIVES: To highlight clinical and operational issues, identify factors that shape patient responses in Hospital Consumer Assessment of Healthcare Providers and Systems (HCAHPS) and test the correlations between composite measures and overall hospital ratings. DESIGN: Responses to HCAHPS surveys were used in a partial correlation analysis to ascertain those HCAHPS composite measures that most relate to overall hospital ratings. The linear mean scores for the composite measures and individual and global items were analyzed with descriptive analysis and correlation analysis via JMP and SPSS statistical software. SETTING: HCAHPS is a patient satisfaction survey required by the Centers for Medicare and Medicaid Services for hospitals in the USA. The survey is for adult inpatients, excluding psychiatric patients. PARTICIPANTS: 3382 US hospitals. INTERVENTION: None. MAIN OUTCOME MEASURE: Pearson correlation coefficients for the six composite measures and overall hospital rating. RESULTS: The partial correlations for overall hospital rating and three composite measures are positive and moderately strong for care transition (0.445) and nurse communication (0.369) and weak for doctor communication (0.066). CONCLUSIONS: From a health policy standpoint, it is imperative that hospital administrators stress open and clear communication between providers and patients to avoid problems ranging from misdiagnosis to incorrect treatment. Additional research is needed to determine how the coronavirus of 2019 pandemic influences patients' perceptions of quality and willingness to recommend hospitals at a time when nurses and physicians show symptoms of burnout due to heavy workloads and inadequate personal protective equipment.

Factors affecting cancer patients' electronic communication with providers: Implications for COVID-19 induced transitions to telehealth.

OBJECTIVE: Because of the pandemic, electronic communication between patients and clinicians has taken on increasing significance in the delivery of cancer care. The study explored personal, clinical, and technology factors predicting cancer survivors' electronic communication with clinicians. METHODS: Data for this investigation came from the Health Information National Trends Survey (HINTS5, Cycle 2) that included 593 respondents who previously or currently had cancer. Multivariate regression analyses were used to predict electronic communication with clinicians. Predictors included demographic variables and health status, technology use (online health information-seeking behavior, tracking of health-related data such as using a Fitbit), and quality of past communication experiences with clinicians. RESULTS: In this pre COVID-19 sample, 42 % respondents (N = 252) did not engage in any type of electronic communication (e.g., emailing, texting, data sharing) with providers. In multivariate analyses, predictors of more electronic communication with clinicians included frequency of seeking health-related information online (ß = .267, p < .001) and better communication experiences with clinicians (ß = .028, p = .034), while no demographic variable showed significance. The technology use variables (online health information seeking, health tracking) were significantly higher predictors of electronic communication with clinicians (ΔR2 = .142, p < .001) than was past experiences with clinicians (ΔR2 = .029, p = .016). CONCLUSIONS: Access and past experience with interactive media technologies are strong predictors of cancer patients' electronic communication than with clinicians. Adoption of telehealth technology likely depends as much on patients' relationships with technology as it does their relationships with clinicians. PRACTICE IMPLICATIONS: Since Covid-19, cancer care providers have turned to telehealth provide patients with needed cancer care services. Enhancing patients' digital competence and experience with electronic communication will help them more easily navigate telehealth care. Providers can leverage their relationship with patients to facilitate more effective use of telehealth services.