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2.
Article in English | MEDLINE | ID: mdl-31531212

ABSTRACT

Background: Diabetes mellitus (DM) affects over 30 million Americans with an estimated annual cost of $327 billion in 2017. Patients with diabetes, especially with financial and/or social hardships, pose challenges in achieving target hemoglobin A1c (HbA1c) values. Understanding patient-specific barriers offer opportunities to improve outcomes in patient care. Objective: We aimed to improve a patient's glycemic control by reducing barriers to care. Furthermore, we evaluated the impact that a resident quality improvement effort had on providing high value diabetic care. Methods: We performed a retrospective cohort study of patients with HbA1c >9.0% in an underserved, resident-run clinic. Patients were surveyed on their knowledge of diabetes and reported obstacles to achieve diabetic control. We then implemented a 12 -month customized, patient-directed, multi-modal, multidisciplinary intervention. Results: Ninety-four patients with HbA1c >9.0% were identified, 65 surveyed, and 51 included in the intervention phase. After the intervention phase, re-evaluation of HbA1c in a paired sample comparison showed that the average HbA1c had decreased by 1.41% (11.28% vs. 9.87%, p < 0.01). Among the patients included in the intervention group, approximately 8% had their HbA1c reduced by ≥50% from their baseline, 23% had their HbA1c reduced by ≥25% from their baseline and 49% had their HbA1c reduced by ≥10% from their baseline. Conclusions: A strategically designed, a patient-centered customized intervention can have a positive impact on a patient's diabetic control.

3.
Diabetes Spectr ; 31(3): 245-253, 2018 Aug.
Article in English | MEDLINE | ID: mdl-30140140

ABSTRACT

IN BRIEF Older adults with diabetes present unique challenges and require considerations that are not traditionally associated with diabetes management. In this review, we focus on issues that are unique to the older population and provide practical guidance for clincians who care for them.

4.
J Community Hosp Intern Med Perspect ; 7(3): 168-172, 2017 Jul.
Article in English | MEDLINE | ID: mdl-28808509

ABSTRACT

At our resident-run clinic in an underserved community, laboratory test costs in 2013 exceeded the government subsidy by $400 000. To optimize limited resources and improve patient care, an education program to reduce testing was implemented. Between November 2014 and January 2015, residents attended lectures on utilization of laboratory testing, focusing on standard practice guidelines, and analyses of unnecessary tests. Multivariate nonparametric statistical methods and subgroup analysis were used to evaluate cost reduction. There were 453 clinic visits during the intervention period and 471 visits during the control period. Lectures were independently associated with a significant laboratory cost reduction. Median laboratory cost per visit decreased from $106.00 to $74.00. Total cost in the study period decreased from $79 403 to $51 463. There were similar reductions of laboratory costs in two subgroups: age groups of <50 years and ≥50 years, new encounters, and follow-up visits . In the analysis of individual tests, the cost of TSH and Vitamin D tests had the greatest reduction ($8176 and $5088 respectively). An appropriate physician education program can reduce laboratory tests and costs. Screening tests with inadequate evidence support were reduced most, whereas those with proven benefits did not decrease significantly.

5.
Lancet Infect Dis ; 10(10): 688-98, 2010 Oct.
Article in English | MEDLINE | ID: mdl-20813587

ABSTRACT

BACKGROUND: Simple, rapid, and affordable tests are needed to detect drug resistance in Mycobacterium tuberculosis. We did a systematic review and meta-analysis to investigate the accuracy of microscopic-observation drug susceptibility (MODS) and thin layer agar (TLA) assays for rapid screening of patients at risk of drug-resistant tuberculosis. METHODS: In accordance with protocols and methods recommended by the Cochrane Diagnostic Test Accuracy Working Group, we systematically searched PubMed, Embase, and Biosis for reports published between January, 1990, and February, 2009. We included studies investigating detection of drug resistance in M tuberculosis with the MODS or TLA assay, and in which an accepted reference standard was used. Data extracted from the studies were combined by use of bivariate random-effects regression models and hierarchical summary receiver operating characteristic curves to estimate sensitivity and specificity for detection of resistance to specific drugs. FINDINGS: We identified 12 studies, of which nine investigated the MODS assay and three investigated the TLA assay. For the MODS assay of rifampicin resistance, pooled estimates were 98·0% (95% CI 94·5-99·3) for sensitivity and 99·4% (95·7-99·9) for specificity. For the MODS assay of isoniazid resistance with a 0·1 µg/mL cutoff, pooled sensitivity was 97·7% (94·4-99·1) and pooled specificity was 95·8% (88·1-98·6), but with a 0·4 µg/mL cutoff, sensitivity decreased to 90·0% (84·5-93·7) and specificity increased to 98·6% (96·9-99·4). All assessments of rifampicin and isoniazid resistance with the TLA assay yielded 100% accuracy. Mean turnaround time was 9·9 days (95% CI 4·1-15·8) for the MODS assay and 11·1 days (10·1-12·0) for the TLA assay. INTERPRETATION: MODS and TLA assays are inexpensive, rapid alternatives to conventional methods for drug susceptibility testing of M tuberculosis. Our data and expert opinion informed WHO's recommendation for use of selected non-commercial drug susceptibility tests, including MODS, as an interim solution until capacity for genotypic or automated liquid culture drug susceptibility testing is developed. FUNDING: Stop TB Department of WHO.


Subject(s)
Antitubercular Agents/pharmacology , Drug Resistance, Bacterial , Mycobacterium tuberculosis/drug effects , Mycobacterium tuberculosis/isolation & purification , Tuberculosis, Multidrug-Resistant/diagnosis , Tuberculosis, Multidrug-Resistant/microbiology , Humans , Microbial Sensitivity Tests/economics , Microbial Sensitivity Tests/methods , Microscopy/methods , ROC Curve , Sensitivity and Specificity , Time Factors
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