Chuan Fen Liu

Effectiveness of Collaborative Care Depression Treatment in Veterans' Affairs Primary Care

AbstractOBJECTIVE: To compare collaborative care for treatment of depression in primary care with consult-liaison (CL) care. In collaborative care, a mental health team provided a treatment plan to the primary care provider, telephoned patients to support adherence to the plan, reviewed treatment results, and suggested modifications to the provider. In CL care, study clinicians informed the primary care provider of the diagnosis and facilitated referrals to psychiatry residents practicing in the primary care clinic. DESIGN: Patients were randomly assigned to treatment model by clinic firm. SETTING: VA primary care clinic. PARTICIPANTS: One hundred sixty-eight collaborative care and 186 CL patients who met criteria for major depression and/or dysthymia. MEASUREMENTS: Hopkins Symptom Checklist (SCL-20), Short Form (SF)-36, Sheehan Disability Scale. MAIN RESULTS: Collaborative care produced greater improvement than CL in depressive symptomatology from baseline to 3 months (SCL-20 change scores), but at 9 months there was no significant difference. The intervention increased the proportion of patients receiving prescriptions and cognitive behavioral therapy. Collaborative care produced significantly greater improvement on the Sheehan at 3 months. A greater proportion of collaborative care patients exhibited an improvement in SF-36 Mental Component Score of 5 points or more from baseline to 9 months. CONCLUSIONS: Collaborative care resulted in more rapid improvement in depression symptomatology, and a more rapid and sustained improvement in mental health status compared to the more standard model. Mounting evidence indicates that collaboration between primary care providers and mental health specialists can improve depression treatment and supports the necessary changes in clinic structure and incentives.

Construction and characteristics of the RxRisk-V: a VA-adapted pharmacy-based case-mix instrument.

Background. Assessment of disease burden is the key to many aspects of health care management. Patient diagnoses are commonly used for case-mix assessment. However, issues pertaining to diagnostic data availability and reliability make pharmacy-based strategies attractive. Our goal was to provide a reliable and valid pharmacy-based case-mix classification system for chronic diseases found in the Veterans Health Administration (VHA) population. Objective. To detail the development and category definitions of a VA-adapted version of the RxRisk (formerly the Chronic Disease Score); to describe category prevalence and reliability; to check category criterion validity against ICD-9 diagnoses; and to assess category-specific regression coefficients in concurrent and prospective cost models. Research Design. Clinical and pharmacological review followed by cohort analysis of diagnostic, pharmacy, and utilization databases. Subjects. 126,075 veteran users of VHA services in Washington, Oregon, Idaho, and Alaska. Methods. We used Kappa statistics to evaluate RxRisk category reliability and criterion validity, and multivariate regression to estimate concurrent and prospective cost models. Results. The RxRisk-V classified 70.5% of the VHA Northwest Network 1998 users into an average of 2.61 categories. Of the 45 classes, 33 classes had good-excellent 1-year reliability and 25 classes had good-excellent criterion validity against ICD-9 diagnoses. The RxRisk-V accounts for a distinct proportion of the variance in concurrent (R2 = 0.18) and prospective cost (R2 = 0.10) models. Conclusions. The RxRisk-V provides a reliable and valid method for administrators to describe and understand better chronic disease burden of their treated populations. Tailoring to the VHA permits assessment of disease burden specific to this population.

Implementation of the Patient-Centered Medical Home in the Veterans Health Administration: Associations With Patient Satisfaction, Quality of Care, Staff Burnout, and Hospital and Emergency Department Use

IMPORTANCE In 2010, the Veterans Health Administration (VHA) began implementing the patient-centered medical home (PCMH) model. The Patient Aligned Care Team (PACT) initiative aims to improve health outcomes through team-based care, improved access, and care management. To track progress and evaluate outcomes at all VHA primary care clinics, we developed and validated a method to assess PCMH implementation. OBJECTIVES To create an index that measures the extent of PCMH implementation, describe variation in implementation, and examine the association between the implementation index and key outcomes. DESIGN, SETTING, AND PARTICIPANTS We conducted an observational study using data on more than 5.6 million veterans who received care at 913 VHA hospital-based and community-based primary care clinics and 5404 primary care staff from (1) VHA clinical and administrative databases, (2) a national patient survey administered to a weighted random sample of veterans who received outpatient care from June 1 to December 31, 2012, and (3) a survey of all VHA primary care staff in June 2012. Composite scores were constructed for 8 core domains of PACT: access, continuity, care coordination, comprehensiveness, self-management support, patient-centered care and communication, shared decision making, and team-based care. MAIN OUTCOMES AND MEASURES Patient satisfaction, rates of hospitalization and emergency department use, quality of care, and staff burnout. RESULTS Fifty-three items were included in the PACT Implementation Progress Index (Pi2). Compared with the 87 clinics in the lowest decile of the Pi2, the 77 sites in the top decile exhibited significantly higher patient satisfaction (9.33 vs 7.53; P < .001), higher performance on 41 of 48 measures of clinical quality, lower staff burnout (Maslach Burnout Inventory emotional exhaustion subscale, 2.29 vs 2.80; P = .02), lower hospitalization rates for ambulatory care-sensitive conditions (4.42 vs 3.68 quarterly admissions for veterans 65 years or older per 1000 patients; P < .001), and lower emergency department use (188 vs 245 visits per 1000 patients; P < .001). CONCLUSIONS AND RELEVANCE The extent of PCMH implementation, as measured by the Pi2, was highly associated with important outcomes for both patients and providers. This measure will be used to track the effectiveness of implementing PACT over time and to elucidate the correlates of desired health outcomes.

The association between nursing factors and patient mortality in the Veterans Health Administration: the view from the nursing unit level.

Context:Nurse staffing is not the same across an entire hospital. Nursing care is delivered in geographically-based units, with wide variation in staffing levels. In particular, staffing in intensive care is much richer than in nonintensive care acute units. Objective:To evaluate the association of in-hospital patient mortality with registered nurse staffing and skill mix comparing hospital and unit level analysis using data from the Veterans Health Administration (VHA). Design, Settings, and Patients:A retrospective observational study using administrative data from 129,579 patients from 453 nursing units (171 ICU and 282 non-ICU) in 123 VHA hospitals. Methods:We used hierarchical multilevel regression models to adjust for patient, unit, and hospital characteristics, stratifying by whether or not patients had an ICU stay during admission. Main Outcome Measure:In-hospital mortality. Results:Of the 129,579 patients, mortality was 2.9% overall: 6.7% for patients with an ICU stay compared with 1.6% for those without. Whether the analysis was done at the hospital or unit level affected findings. RN staffing was not significantly associated with in-hospital mortality for patients with an ICU stay (OR, 1.02; 95% CI, 0.99–1.03). For non-ICU patients, increased RN staffing was significantly associated with decreased mortality risk (OR, 0.91; 95% CI, 0.86–0.96). RN education was not significantly associated with mortality. Conclusions:Our findings suggest that the association between RN staffing and skill mix and in-hospital patient mortality depends on whether the analysis is conducted at the hospital or unit level. Variable staffing on non-ICU units may significantly contribute to in-hospital mortality risk.

Predicting costs of care using a pharmacy-based measure risk adjustment in a veteran population.

Background. Although most widely used risk adjustment systems use diagnosis data to classify patients, there is growing interest in risk adjustment based on computerized pharmacy data. The Veterans Health Administration (VHA) is an ideal environment in which to test the efficacy of a pharmacy-based approach. Objective. To examine the ability of RxRisk-V to predict concurrent and prospective costs of care in VHA and compare the performance of RxRisk-V to a simple age/gender model, the original RxRisk, and two leading diagnosis-based risk adjustment approaches: Adjusted Clinical Groups and Diagnostic Cost Groups/Hierarchical Condition Categories. Methods. The study population consisted of 161,202 users of VHA services in Washington, Oregon, Idaho, and Alaska during fiscal years (FY) 1996 to 1998. We examined both concurrent and predictive model fit for two sequential 12-month periods (FY 98 and FY 99) with the patient-year as the unit of analysis, using split-half validation. Results. Our results show that the Diagnostic Cost Group /Hierarchical Condition Categories model performs best (R2 = 0.45) among concurrent cost models, followed by ADG (0.31), RxRisk-V (0.20), and age/sex model (0.01). However, prospective cost models other than age/sex showed comparable R2: Diagnostic Cost Group /Hierarchical Condition Categories R2 = 0.15, followed by ADG (0.12), RxRisk-V (0.12), and age/sex (0.01). Conclusions. RxRisk-V is a clinically relevant, open source risk adjustment system that is easily tailored to fit specific questions, populations, or needs. Although it does not perform better than diagnosis-based measures available on the market, it may provide a reasonable alternative to proprietary systems where accurate computerized pharmacy data are available.

Use of Outpatient Care in Veterans Health Administration and Medicare among Veterans Receiving Primary Care in Community-Based and Hospital Outpatient Clinics

OBJECTIVE To examine differences in use of Veterans Health Administration (VA) and Medicare outpatient services by VA primary care patients. DATA SOURCES/STUDY SETTING VA administrative and Medicare claims data from 2001 to 2004. STUDY DESIGN Retrospective cohort study of outpatient service use by 8,964 community-based and 6,556 hospital-based VA primary care patients. PRINCIPAL FINDINGS A significant proportion of VA patients used Medicare-reimbursed primary care (>30 percent) and specialty care (>60 percent), but not mental health care (3-4 percent). Community-based patients had 17 percent fewer VA primary care visits (p<.001), 9 percent more Medicare-reimbursed visits (p<.001), and 6 percent fewer total visits (p<.05) than hospital-based patients. Community-based patients had 22 percent fewer VA specialty care visits (p<.0001) and 21 percent more Medicare-reimbursed specialty care visits (p<.0001) than hospital-based patients, but no difference in total visits (p=.80). CONCLUSIONS Medicare-eligible VA primary care patients followed over 4 consecutive years used significant primary care and specialty care outside of VA. Community-based patients offset decreased VA use with increased service use paid by Medicare, suggesting that increasing access to VA primary care via community clinics may fragment veteran care in unintended ways. Coordination of care between VA and non-VA providers and health care systems is essential to improve the quality and continuity of care.

Long‐Term Effectiveness of Screening for Hearing Loss: The Screening for Auditory Impairment—Which Hearing Assessment Test (SAI‐WHAT) Randomized Trial

OBJECTIVES: To evaluate the effect of hearing screening on long‐term hearing outcomes in a general population of older veterans.

Implementing collaborative care for depression treatment in primary care: A cluster randomized evaluation of a quality improvement practice redesign

BackgroundMeta-analyses show collaborative care models (CCMs) with nurse care management are effective for improving primary care for depression. This study aimed to develop CCM approaches that could be sustained and spread within Veterans Affairs (VA). Evidence-based quality improvement (EBQI) uses QI approaches within a research/clinical partnership to redesign care. The study used EBQI methods for CCM redesign, tested the effectiveness of the locally adapted model as implemented, and assessed the contextual factors shaping intervention effectiveness.MethodsThe study intervention is EBQI as applied to CCM implementation. The study uses a cluster randomized design as a formative evaluation tool to test and improve the effectiveness of the redesign process, with seven intervention and three non-intervention VA primary care practices in five different states. The primary study outcome is patient antidepressant use. The context evaluation is descriptive and uses subgroup analysis. The primary context evaluation measure is naturalistic primary care clinician (PCC) predilection to adopt CCM.For the randomized evaluation, trained telephone research interviewers enrolled consecutive primary care patients with major depression in the evaluation, referred enrolled patients in intervention practices to the implemented CCM, and re-surveyed at seven months.ResultsInterviewers enrolled 288 CCM site and 258 non-CCM site patients. Enrolled intervention site patients were more likely to receive appropriate antidepressant care (66% versus 43%, p = 0.01), but showed no significant difference in symptom improvement compared to usual care. In terms of context, only 40% of enrolled patients received complete care management per protocol. PCC predilection to adopt CCM had substantial effects on patient participation, with patients belonging to early adopter clinicians completing adequate care manager follow-up significantly more often than patients of clinicians with low predilection to adopt CCM (74% versus 48%%, p = 0.003).ConclusionsDepression CCM designed and implemented by primary care practices using EBQI improved antidepressant initiation. Combining QI methods with a randomized evaluation proved challenging, but enabled new insights into the process of translating research-based CCM into practice. Future research on the effects of PCC attitudes and skills on CCM results, as well as on enhancing the link between improved antidepressant use and symptom outcomes, is needed.Trial RegistrationClinicalTrials.gov: NCT00105820

Outcomes for medicaid beneficiaries with schizophrenia under a prepaid mental health carve-out

This study examines the impact of a mental health carve-out program in Utah on mental health status of Medicaid beneficiaries with schizophrenia. Three community mental health centers contracted to provide mental health care for all Medicaid beneficiaries in their service areas under managed care arrangements, while beneficiaries in the remainder of the state remained under traditional Medicaid. A pre-post evaluation was utilized, with a contemporaneous control group of Utah Medicaid beneficiaries with schizophrenia under traditional Medicaid. From 1991 to 1994, the average beneficiarys mental health status improved, but the improvement was less under the carve-out program than under traditional fee-for-service Medicaid. The difference was the greatest for beneficiaries with the worst mental health status at baseline, with effects growing over time. Medicaid beneficiaries with schizophrenia experienced less improvement in mental health status under a carve-out arrangement for mental health care compared to what would have happened under traditional Medicaid.

Organizational Cost of Quality Improvement for Depression Care

OBJECTIVE We documented organizational costs for depression care quality improvement (QI) to develop an evidence-based, Veterans Health Administration (VA) adapted depression care model for primary care practices that performed well for patients, was sustained over time, and could be spread nationally in VA. DATA SOURCES AND STUDY SETTING Project records and surveys from three multistate VA administrative regions and seven of their primary care practices. STUDY DESIGN Descriptive analysis. DATA COLLECTION We documented project time commitments and expenses for 86 clinical QI and 42 technical expert support team participants for 4 years from initial contact through care model design, Plan-Do-Study-Act cycles, and achievement of stable workloads in which models functioned as routine care. We assessed time, salary costs, and costs for conference calls, meetings, e-mails, and other activities. PRINCIPLE FINDINGS Over an average of 27 months, all clinics began referring patients to care managers. Clinical participants spent 1,086 hours at a cost of