Generating the knowledge needed to make the patient-centered medical home a reality: a collaborative project of the primary care specialties

Instrumental variable methods to assess quality of care the marginal effects of process-of-care on blood pressure change and treatment costs

BACKGROUND

Hypertension is poorly controlled. Team-based care and changes in the process of care have been proposed to address these quality problems. However, assessing care processes is difficult because they are often confounded even in randomized behavioral studies by unmeasured confounders based on discretion of health care providers.

OBJECTIVE

To evaluate the effects of process measures including number of counseling sessions about lifestyle modification and number of antihypertensive medications on blood pressure change and payer-perspective treatment costs.

METHODS

Data were obtained from two prospective, cluster randomized controlled clinical trials (Trial A and B) implementing physician-pharmacist collaborative interventions compared with usual care over six months in community-based medical offices in the Midwest. Multivariate linear regression models with both instrumental variable methods and as-treated methods were utilized. Instruments were indicators for trial and study arms. Models of blood pressure change and costs included both process measures, demographic variables, and clinical variables.

RESULTS

The analysis included 496 subjects. As-treated methods showed no significant associations between process and outcomes. The instruments used in the study were insufficient to simultaneously identify distinct process effects. However, the post-hoc instrumental variable models including one process measure at a time while controlling for the other process demonstrated significant associations between the processes and outcomes with estimates considerably larger than as-treated estimates.

CONCLUSIONS

Instrumental variable methods with combined randomized behavioral studies may be useful to evaluate the effects of different care processes. However, substantial distinct process variation across studies is needed to fully capitalize on this approach. Instrumental variable methods focusing on individual processes provided larger and stronger outcome relationships than those found using as-treated methods which are subject to confounding.

Electronic clinical decision support for management of depression in primary care: a prospective cohort study

OBJECTIVE

To assess the utility of an electronic clinical decision support tool for management of depression in primary care.

METHOD

This prospective study was conducted in a national network of ambulatory practices over a 1-year period (October 2007-October 2008). A clinical decision support tool was embedded into the electronic health record of 19 primary care practices with 119 providers. The main components included (1) the 9-item Patient Health Questionnaire (PHQ-9), with 9 questions paralleling the 9 DSM-IV criteria for the diagnosis of major depressive disorder; (2) a suicide assessment form; and (3) brief patient and provider education. Use of each component was tracked in the electronic health record. Providers completed baseline and postintervention surveys regarding their depression management practices and their perceptions of the clinical decision support tool.

RESULTS

According to electronic health record tracking, the PHQ-9 form was used in 45.6% of the 16,052 adult patients with depression and in 73.7% of the 1,422 patients with new depression. The suicide assessment form was used in 62.0% of patients with possible suicidality. Education modules were rarely used. From before to after the study, providers reported increased use of standardized tools for depression diagnosis (47% to 80%, P < .001) and monitoring (27% to 85%, P < .001). The majority of providers reported often using the PHQ-9 and suicide forms and felt them to be very helpful in patient care, with 85% planning to continue their use after the study.

CONCLUSIONS

The electronic health record-based clinical decision support tool was extensively used and perceived as very helpful for assessment of patients' symptoms but not for provider education. These findings can help guide national efforts incorporating clinical decision support for quality improvement.

Quality of care associated with common chronic diseases in a 9-state Medicaid population utilizing claims data: an evaluation of medication and health care use and costs

The objective of this cross-sectional, retrospective study was to utilize claims data to establish a quality-of-care benchmark in a large multistate Medicaid population overall and by race. Quality of care and medication adherence (persistence and compliance) per national treatment guidelines, and health care costs/utilization were assessed across common chronic conditions in a large, 9-state Medicaid population. Overall, quality of care was suboptimal across conditions. Over 15% of asthma patients had ≥ 1 asthma-related emergency room/hospital event and 12% of chronic obstructive pulmonary disease patients had a Level II or III exacerbation. Only 36% of depression patients filled any antidepressant medication within 90 days of new episode. Only 45% of diabetes patients received ≥ 2 A1c tests. Patients who filled a prescription for any acceptable pharmacotherapy ranged from 35% (depression) to 83% (heart failure [HF]). Persistence for those filling any acceptable medication ranged from 16% (asthma) to 68% (HF). Compliance for patients filling ≥ 2 prescriptions ranged from 27% (asthma) to 75% (HF). Blacks had the lowest medication compliance and persistence for all conditions except hyperlipidemia. The results highlight the need to assess and improve quality across the spectrum of care, both overall and by race.

Adherence to treatment guidelines and therapeutic regimens: a US claims-based benchmark of a commercial population

The objective of this cross-sectional, retrospective study assessing commercially insured patients was to provide a useful benchmark to US health care payers and decision makers to assess quality of care, medication use and adherence, and health care resource utilization/costs associated with common chronic diseases. Measures of quality of care were suboptimal and substantial numbers of patients were not using any pharmacotherapy considered acceptable according to treatment guidelines. The widespread nature of undertreatment, poor medication adherence, and substantial health care costs highlights deficits and points to the need for comprehensive, multifaceted strategies to improve clinical and economic outcomes for chronic diseases.