Teamwork in health care

The Health and Health Care of Adults With Type 1 And 2 Diabetes Across the Spectrum of Estimated Glomerular Filtration Rates

OBJECTIVES

Little is known about the health and health-care patterns of patients with diabetes according to their estimated glomerular filtration rates, especially within a publicly funded health-care system.

METHODS

Using linked health-care databases in Ontario, Canada, we performed a population-based study of adults 50 years of age and older (mean age, 68 years) with prevalent diabetes on January 1, 2014. We categorized patients according to their levels of kidney function (estimated glomerular filtration rate ≥90, 60 to 89, 30 to 59, 15 to 29 or <15 mL/min/1.73 m², or the receipt of ongoing maintenance dialysis). We then followed patients for 2 years to determine: 1) their level of contact with health-care providers (i.e. visits to family doctors, specialists); 2) their use and repeated use of acute medical services (i.e. hospitalizations and emergency department encounters; 3) diabetes-related monitoring and screening (i.e. glycated hemoglobin and cholesterol tests, vision screening); 4) glycemic and lipid control; and 5) diabetes-related outcomes.

RESULTS

There were 569,384 patients in our study. Most had estimated glomerular filtration rates between 60 and 89 mL/min/1.73 m². At baseline, patients with lower kidney function had longer durations of diabetes and more comorbidities. Over 2 years of follow up, they had higher burdens of medical care, excessive diabetes monitoring and were underscreened for diabetes-related complications. Although metabolic control was reasonable across groups, patients with low kidney function had more hospital encounters and more diabetes-related complications.

CONCLUSIONS

Patients with diabetes and low kidney function are a vulnerable population that faces health system challenges and care gaps. Suggestions for policy and practice are discussed.

Impact of peer pressure on accuracy of reporting vital signs: An interprofessional comparison between nursing and medical students

The hierarchical relationship between nursing and medicine has long been known, yet its direct influence on procedural tasks has yet to be considered. Drawing on the theory of conformity from social psychology, we suggest that nursing students are likely to report incorrect information in response to subtle social pressures imposed by medical students. Second-year medical and third-year nursing students took vital signs readings from a patient simulator. In a simulation exercise, three actors, posing as medical students, and one nursing student participant all took a total of three rounds of vital signs on a high-fidelity patient simulator. In the first two rounds the three actors individually stated the same correct vital signs values, and on the third round the three actors individually stated the same incorrect vital sign values. This same procedure was repeated with actors posing as nursing students, and one medical student. A two-way analysis of variance (ANOVA) revealed that nursing student participants (M = 2.84; SD = 1.24) reported a higher number of incorrect vital signs than did medical student participants (M = 2.13; SD = 1.07), F (1,100) = 5.51, p = 0.021 (Cohen's d = 0.61). The study indicated that social pressure may prevent nursing students from questioning incorrect information within interprofessional environments, potentially affecting quality of care.