Specific measures using a Six Sigma approach led to sustained reduction of door-to-balloon times among patients with ST-segment elevation myocardial infarction (STEMI) in a community setting.
This qualitative study draws on interviews with clinical staff to examine health workforce use within accountable care organizations and identifies common roles that support value-based care.
Health information technologies can be implemented without impact on patient satisfaction. The lacking synergistic relationship should be concerning to stakeholders for optimizing costs and quality.
Implementation of the Quality Blue Primary Care program in Louisiana was associated with a shift in primary care delivery and reductions in overall cost.
This article evaluates and compares the effectiveness of shared medical appointments versus regular office visits among Hispanic patients with diabetes.
The authors found that comorbidity burden and the direction of behavioral change influence the relationship between adherence and medical spend. This could affect the cost-benefit considerations of medication adherence programs.
Employer policies for access to maximum benefits do not always match those for access to obesity therapy.
African Americans with diabetes are less likely than whites to be treated with lipid-lowering agents, have their medication altered, or reach LDL-C goal.
This study evaluated a pharmacist-managed diabetes clinic to determine its impact on diabetes-related quality measures.(For Tables and Figures, please access the PDF on last page.)
There is no significant association between unfavorable patient satisfaction and opioid reductions for chronic pain, but encounters with unestablished providers may slightly impair satisfaction when reducing opioids.
This paper explores hypertension control among patients with diabetes in a variety of ambulatory care settings. We also consider the role of sociodemographic factors.
Physician and patient predictors of hyperlipidemia screening and statin prescription at a large, multihospital regional health center based on electronic health record data.
Creating a healthcare consumer is more likely than ever before thanks to innovations in information technology, but the benefits are not yet fully realized.
This editorial reviews the recently published study (AJMC April) by Gerrard et al, which analyzed the statistical prediction model of the Fitness Index Measure for hospital readmission in unilateral hip fractures.
This study demonstrates that it is possible to generate a highly accurate model to predict inpatient and emergency department utilization using data on socioeconomic determinants of care.
Predictive modeling can be used to identify disabled Medicaid beneficiaries at high risk of future hospitalizations who could benefit from appropriate interventions.