Assessing clinical quality performance and staffing capacity differences between urban and rural Health Resources and Services Administration-funded health centers in the United States: A cross sectional study

Critical Bias in Critical Care Devices

Critical care data contain information about the most physiologically fragile patients in the hospital, who require a significant level of monitoring. However, medical devices used for patient monitoring suffer from measurement biases that have been largely underreported. This article explores sources of bias in commonly used clinical devices, including pulse oximeters, thermometers, and sphygmomanometers. Further, it provides a framework for mitigating these biases and key principles to achieve more equitable health care delivery.

Impact of the COVID-19 vaccination mandate on the primary care workforce and differences between rural and urban settings to inform future policy decision-making

INTRODUCTION

Little is known about the impact of mandated vaccination policies on the primary care clinic workforce in the United States or differences between rural and urban settings, especially for COVID-19. With the continued pandemic and an anticipated increase in novel disease outbreaks and emerging vaccines, healthcare systems need additional information on how vaccine mandates impact the healthcare workforce to aid in future decision-making.

METHODS

We conducted a cross-sectional survey of Oregon primary care clinic staff between October 28, 2021- November 18, 2021, following implementation of a COVID-19 vaccination mandate for healthcare personnel. The survey consisted of 19 questions that assessed the clinic-level impacts of the vaccination mandate. Outcomes included job loss among staff, receipt of an approved vaccination waiver, new vaccination among staff, and the perceived significance of the policy on clinic staffing. We used univariable descriptive statistics to compare outcomes between rural and urban clinics. The survey also included three open-ended questions that were analyzed using a template analysis approach.

RESULTS

Staff from 80 clinics across 28 counties completed surveys, representing 38 rural and 42 urban clinics. Clinics reported job loss (46%), use of vaccination waivers (51%), and newly vaccinated staff (60%). Significantly more rural clinics (compared to urban) utilized medical and/or religious vaccination waivers (71% vs 33%, p = 0.04) and reported significant impact on clinic staffing (45% vs 21%, p = 0.048). There was also a non-significant trend toward more job loss for rural compared to urban clinics (53% vs. 41%, p = 0.547). Qualitative analysis highlighted a decline in clinic morale, small but meaningful detriments to patient care, and mixed opinions of the vaccination mandate.

CONCLUSIONS

Oregon's COVID-19 vaccination mandate increased healthcare personnel vaccination rates, yet amplified staffing challenges with disproportionate impacts in rural areas. Staffing impacts in primary care clinics were greater than reported previously in hospital settings and with other vaccination mandates. Mitigating primary care staffing impacts, particularly in rural areas, will be critical in response to the continued pandemic and novel viruses in the future.

Impact of transfer from non-acute care centers on clinical outcomes in patients with congestive heart failure

Study objective

To compare the clinical outcomes in patients with congestive heart failure who are transferred to an acute care hospital from non-acute care centers with patients who are admitted as regular hospital admissions.

Design

This was a retrospective cohort study.

Setting

We utilized the National Inpatient Sample database from 2016 to 2018.

Participants

Our cohort consisted of hospitalized patients who were at least 18 years old with a primary diagnosis of congestive heart failure.

Interventions

These patients were either transferred from non-acute centers or presented as regular hospital admissions.

Main outcome measurements

We matched patients in a greedy nearest neighbor 1:1 model with caliper set at 0.2. Multivariable logistic regression, adjusted for age, sex, race and comorbidities, was used to compare mortality in our matched cohort.

Results

This study included 35,010 non-acute care transfers and 951,189 regularly admitted patients. Compared to patients who were not transferred, non-acute care transfers were older, predominantly female, White and less racially diverse. After matching, there were 6689 patients in each cohort. When adjusted for age, race, sex and comorbidities, non-acute care transfers with congestive heart failure had 2.20 times higher odds of suffering in-hospital mortality compared to regular, non-transferred admissions (aOR 2.20, 95 % CI: 1.85-2.61; p < 0.001).

Conclusion

Our findings illustrate that non-acute care transfers are a vulnerable population that require additional medical support in the acute care setting.

Prevalence and Risk Factors of Abnormal Glucose Metabolism and New-Onset Diabetes Mellitus after Kidney Transplantation: A Single-Center Retrospective Observational Cohort Study

Background and objectives: New-onset diabetes after transplantation (NODAT) represents a primary cause of morbidity and allograft loss. We assessed prevalence and risk factors for NODAT in a population of Italian kidney transplant (KT) recipients. Methods: Data from 522 KT performed between January 2004 and December 2014 were analyzed. Participants underwent clinical examination; blood and urine laboratory tests were obtained at baseline, one, six, and 12-month of follow-up to detect glucose homeostasis abnormalities and associated metabolic disorders. An oral glucose tolerance test (OGTT) was performed at six months in 303 subjects. Results: Most patients were Caucasian (82.4%) with a mean age of 48 ± 12 years. The prevalence of abnormal glucose metabolism (AGM) and NODAT was 12.6% and 10.7%, respectively. Comparing characteristics of patients with normal glucose metabolism (NGM) to those with NODAT, we found a significant difference in living donation (16.6% vs. 6.1%; p = 0.03) and age at transplant (46 ± 12 vs. 56 ± 9 years; p = 0.0001). Also, we observed that patients developing NODAT had received higher cumulative steroid doses (1-month: 1165 ± 593 mg vs. 904 ± 427 mg; p = 0.002; 6-month:2194 ± 1159 mg vs. 1940 ± 744 mg; p = 0.002). The NODAT group showed inferior allograft function compared to patients with NGM (1-year eGFR: 50.1 ± 16.5 vs. 57 ± 20 mL/min/1.73 m²; p = 0.02). NODAT patients were more likely to exhibit elevated systolic blood pressure and higher total cholesterol and triglyceride levels than controls. Conclusions: The prevalence of NODAT in our cohort was relatively high. Patient age and early post-transplant events such as steroid abuse are associated with NODAT development.

Study on the Economic Burden of Neurodevelopmental Diseases on Patients With Genetic Diagnosis

Objective

To study the burden of neurodevelopmental diseases (NDDs) via cost-of-illness analysis of Chinese patients with genetic diagnosis.

Methods

We recruited NDD patients (0–18 years old) with genetic diagnosis (GD) from September 1, 2020 to January 30, 2021. We gathered basic information on the details of diagnosis, as well as the direct medical cost, direct non-healthcare cost and indirect cost before and after receiving GD. We corrected the cost for time biases by calculating the cost per day for each patient.

Results

For the 502 patients with NDDs, the mean age was 4.08 ± 3.47. The household income was 0.6 (0.4, 1.0) 10,000 CNY per-month on average. The direct medical cost, direct non-healthcare cost and indirect cost were 12.27 (7.36, 22.23) 10,000 CNY, 1.45 (0.73, 2.69)10,000 CNY and 14.14(4.80, 28.25) 10,000 CNY per patient, respectively. Every patient received 1.20 (0.34, 3.60) 10,000 CNY on average (15.91%) from insurance. The daily total cost after receiving GD were ~62.48% lower than those before GD (191.59 CNY vs. 71.45 CNY). The descend range of lab cost (95.77%, P < 0.05) was the largest, followed by drugs (91.39%, P < 0.05), hospitalization (90.85%, P < 0.05), and consultation (57.41%, P < 0.05). The cost of rehabilitation kept slightly increasing but there were no significant differences (P > 0.05). The daily direct medical cost of each patient fell by 75.26% (P < 0.05) from 311.79 CNY to 77.14 CNY when the diagnostic age was younger than 1, and declined by 49.30% (P < 0.05) and 8.97% (P > 0.05) when the diagnostic age was 1–3 and older than 3, respectively.

Conclusions

Early genetic diagnosis is crucial for to reducing the burden of disease because of the amount of money spent was lower when they are diagnosed at younger age. Patients with NDDs can incur a heavy economic burden, especially in rehabilitation cost and indirect cost, because the insurance coverage for patients is low, so it is urgent for governments to pay more attention to these issues.