Higher BMI associated with shorter visits in male oncology patients: An exploratory analysis

A systematic scoping review of patient and caregiver self-report measures of satisfaction with clinicians' communication

OBJECTIVE

We conducted a systematic scoping review of self-report tools used to measure patient and/or caregiver satisfaction with clinician communication. Aims included identifying: 1) instruments that have been used to measure communication satisfaction, and 2) content of the communication items on measures.

METHODS

Two databases (PubMed and CINAHL) were searched for relevant studies. Eligibility included patient or caregiver self-report tools assessing satisfaction with clinicians' communication in a biomedical healthcare setting; and the stated purpose for using the measurement involved evaluating communication satisfaction and measures included more than one question about this. All data were charted in a form created by the authors.

RESULTS

Our search yielded a total of 4531 results screened as title and abstracts; 228 studies were screened in full text and 85 studies were included in the review. We found 53 different tools used to measure communication satisfaction among those 85 studies, including 29 previously used measures (e.g., FS-ICU-24, CAHPS), and 24 original measures developed by authors. Content of communication satisfaction items included satisfaction with content-specific communication, interpersonal communication skills of clinicians, communicating to set the right environment, and global communication satisfaction items.

CONCLUSION

There was high variability in the number of items and types of content on measures. Communication satisfaction should be better conceptualized to improve measurement, and more robust measures should be created to capture complex factors of communication satisfaction.

PRACTICE IMPLICATIONS

Creating a rigorous evaluation of satisfaction with clinician communication may help strengthen communication research and the assessment of communication interventions.

Urgent-care antibiotic prescribing: An exploratory analysis to evaluate health inequities

Healthcare disparities and inequities exist in a variety of environments and manifest in diagnostic and therapeutic measures. In this commentary, we highlight our experience examining our organization's urgent care respiratory encounter antibiotic prescribing practices. We identified differences in prescribing based on several individual characteristics including patient age, race, ethnicity, preferred language, and patient and/or clinician gender. Our approach can serve as an electronic health record (EHR)-based methodology for disparity and inequity audits in other systems and for other conditions.

A model of weight-based stigma in health care and utilization outcomes: Evidence from the learning health systems network

Objective

Obesity is stigmatized and people with obesity report experiencing stigmatizing situations when seeking health care. The implications of these experiences are not well understood. This study tests an indirect effects model of negative care experiences as an intermediate variable between obesity and care avoidance/utilization and switching primary care doctors.

Methods

A survey was completed by 2380 primary care patients in the Learning Health Systems Network (LHSNet) Clinical Data Research Network with a BMI >25 kg/m2. Measures included scales assessing stigmatizing situations, perceived patient-centered communication, perceived respect, having delayed needed care, and having looked for a new primary doctor in the past 12 months. Sequential and serial indirect effects of care experiences and respect in the association between BMI and care utilization outcomes was modeled.

Results

The hypothesized model was supported by findings. The associations between BMI and delaying needed care (OR = 1.06, p < 0.001) and attempting to switch primary doctors (OR = 1.02, p = 0.04) was mediated by both stigmatizing situations experienced in a health care context and lower patient-centered communication. Lower perceived respect mediated the association between care experiences and utilization outcomes.

Conclusions

People with higher BMIs may avoid care or switch doctors as a result of stigmatizing experiences and poor communication with doctors. These outcomes may contribute to morbidity in people with obesity if they delay or avoid care for health concerns when symptoms first present.

Association between patients' body mass index and emergency department wait times: A multicenter observational cohort investigation by the reducing disparities increasing equity in emergency medicine (REDEEM) study group

OBJECTIVE

Numerous studies have demonstrated evidence of obesity bias in healthcare settings, however, little is known about obesity bias in the Emergency Department (ED). The objective of this study was to investigate obesity bias in an ED setting by assessing the association between body mass index (BMI) and door-to-room (DTR) or door-to-provider (DTP) times among ED patients.

METHODS

We conducted an observational cohort study of all adult patient (age ≥ 18 years of age) visits to 21 Mayo Clinic and Mayo Clinic Health System EDs between November 1, 2018 and March 31, 2020. We compared DTR and DTP times based on BMI category.

RESULTS

We found that median DTR and DTP times for adults with class 3 obesity are significantly shorter than patients in the normal weight category. For men with class 3 obesity, median DTR and DTP times were 7.5% and 5.4% shorter than men in the normal weight category. Relative to women in the normal weight category, the median DTR and DTP times were 4.6% and 3.8% faster for women in obesity class 1, 4.9% and 5.1% faster for women in obesity class 2, and DTR was 4.4% faster for women in obesity class 3. These percentage differences translated to slightly shorter wait times of 0.4-1.2 min compared to median wait times for patients with normal BMI.

CONCLUSION

We did not find evidence of longer wait times experienced by people with obesity. Rather, patients with obesity often experienced wait times that were shorter than patients of normal weight.