Diabetes management at community health centers: Examining associations with patient and regional characteristics, efficiency, and staffing patterns

Residential Address Amplifies Health Disparities and Risk of Infection in Individuals With Diabetic Foot Ulcers

OBJECTIVE

To determine the association between social determinants of health (SDOH) and a diagnosis of diabetic foot ulcer (DFU) infection.

RESEARCH DESIGN AND METHODS

Targeted interrogation of electronic health record data using novel search engines to analyze individuals with a DFU infection during a 5-year period (2013-2017) was performed. We extracted geolocated neighborhood data and SDOH characteristics from the National Neighborhood Data Archive and used univariate and multiple logistic regression to evaluate associations with outcomes in the population with diabetes.

RESULTS

Among 4.3 million people overall and 144,564 individuals with diabetes seen between 2013 and 2017, 8,351 developed DFU, of which cases 2,252 were complicated by a DFU infection. Sex interactions occurred, as men who experienced a DFU infection more frequently identified as having nonmarried status than their female counterparts. For the population with DFU infection, there were higher rates for other SDOH, including higher neighborhood disadvantaged index score, poverty, nonmarriage, and less access to physician/allied health professionals (all P < 0.01). In multiple logistic regression, those individuals who developed DFU infection came from neighborhoods with greater Hispanic and/or foreign-born concentrations (odds ratio 1.11, P = 0.015).

CONCLUSIONS

We found significant differences in neighborhood characteristics driving a higher risk for DFU infection in comparisons with the grouping of individuals with diabetes overall, including increased risk for individuals with Hispanic and/or foreign-born immigration status. These data strongly support the need to incorporate SDOH, particularly ethnic and immigration status, into triage algorithms for DFU risk stratification to prevent severe diabetic foot complications and move beyond biologic-only determinants of health.

Costs and Health Care Utilization Analysis of Medical Group Visits for Adults With Type 2 Diabetes in Community Health Centers

OBJECTIVE

We evaluated the economic impact of group visits (GVs) in adults with uncontrolled diabetes in community health centers (CHCs) in the United States.

RESEARCH DESIGN AND METHODS

In this prospective controlled trial, we implemented 6 monthly GV sessions in 5 CHCs and compared intervention patients (n=49) to control patients (n=72) receiving usual care within the same CHCs. We conducted patient chart reviews to obtain health care utilization data for the prior 6 months at baseline, 6 months (during the GV implementation), and 12 months (after the implementation). We also collected monthly logs of CHC expenses and staff time spent on activities related to GVs. Per-patient total costs included CHCs' expenses and costs associated with staff time and patients' health care use. For group comparison, we used the Wilcoxon rank-sum test and the bootstrapping method that was to bootstrap generalized estimating equation models.

RESULTS

The GV group had fewer 6-month hospitalizations (mean: GV: 0.06 vs. control: 0.24, rate: 6.1% vs. 19.4%) ( P ≤ 0.04) and similar emergency department visits at 12 months than the control group. Implementing GV incurred $1770 per-patient. The intervention cost $1597 more than the control at 6 months ($3021 vs. $1424) but saved $1855 at 12 months ($857 vs. $2712) ( P =0.002).

CONCLUSIONS

The diabetes GV care model reduced hospitalizations and had cost savings at 12 months, while it improved patients' diabetes-related quality of life and glucose control. Future studies should assess its lifetime cost-effectiveness through a randomized controlled trial.

Levels, trends, and determinants of effectiveness on the hierarchical medical system in China: Data envelopment analysis and bootstrapping truncated regression analysis

Background

The hierarchical medical system (HMS) refers to the classification of treatment according to disease priorities based on severity and difficulty to promote the fairness of medical services for residents, which is regarded as the key to the success of medical reform in China.

Methods

In the past decade of "New Medical Reform," the efficiency of HMS, including secondary and tertiary hospitals and primary healthcare centers (PHCs), was measured horizontally and vertically by employing the combination of an output-oriented superefficiency slack-based model-data envelopment analysis (SE-SBM-DEA) model with the Malmquist total factor productivity index (MTFP). In the second stage, the overall technical efficiency (OTE) scores were regressed against a set of environmental characteristics and several managerial factors through bootstrapping truncated regression.

Results

On average, the OTE score in tertiary hospitals was 0.93, which was higher than that in secondary hospitals and PHCs (0.9 and 0.92, respectively). In terms of trend, the OTE of tertiary hospitals declined at first and then increased. The opposite was true of secondary hospitals, in which the APC of the OTE was 10.82 and -3.11% in early and late 2012, respectively. The PHCs generally showed a fluctuating downward trend. In the aspects of productivity, all institutions showed a downturn by an annual average rate of 2.73, 0.51, and 2.70%, respectively. There was a significant negative relationship between the ratio of outpatients to inpatients and tertiary hospitals. Additionally, the medical technical personnel per 1,000 population negatively affected PHCs. In contrast, the GDP per capita had a significantly positive effect on tertiary hospitals, and the number of beds per 1,000 population positively influenced PHCs.

Conclusion

The efficiency of medical institutions at various levels in HMS was unbalanced and took the form of an "inverted pyramid." Multilateral factors influence the efficiency of HMS, and to address it, multi-intervention packages focusing on sinking high-quality medical resources and improving healthcare capacity, and guiding hierarchical medical practice should be adopted.

Portuguese Primary Healthcare and Prevention Quality Indicators for Diabetes Mellitus - A Data Envelopment Analysis

BACKGROUND

Diabetes mellitus (DM) is a worldwide public health priority. The increasing prevalence and the budget constraints force to have effective healthcare, especially at the primary healthcare (PHC) level. We aim to assess primary care efficiency considering the best use of human resources to produce optimal diabetes care in terms of prevention quality indicators (PQIs) rates across national ACES (health centre groupings).

METHODS

We conducted a two-stage data envelopment analysis (DEA) to assess the technical efficiency of 54 Portuguese primary care health centre groupings for the 2016-2017 biennium. In the first stage, efficiency scores were obtained through five output-oriented DEA models under vector return to scale (VRS) assumption, using three input variables representing key primary care human resources and one output representing each one of the five PQIs related to diabetes. In the second stage, Tobit regression models were estimated to assess the determinants of primary care efficiency in diabetes care.

RESULTS

A total of 13 ACES reached the efficiency frontier. Better managing human resources could reduce PQI rates by 52.3% in 2016 and 49.1% in 2017. Higher proportion of patients under 65 years old and better controlled with a hemoglobin A1c (HbA1c) ≤6.5% were associated with better efficiency in diabetes care, whereas higher prevalence of DM and unemployment worsened hospitalizations rates by diabetes short-term complications and lower-extremity amputation.

CONCLUSION

Inefficiency in DM care was found in most of the primary care settings which can substantially improve the avoidable hospitalization rates by DM using their current level human resources. These findings help to improve diabetes care by targeting human resources at primary care level, which should be integrated into performance assessments considering broader and integrated scopes.