Improving care for depression: there's no free lunch.
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Publications and source records attributed to Lisa V Rubenstein.
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CONTEXT: Previous studies testing continuous quality improvement (CQI) for depression showed no effects. Methods for practices to self-improve depression care performance are needed. We assessed the impacts of evidence-based quality improvement (EBQI), a modification of CQI, as carried out by 2 different health care systems, and collected qualitative data on the design and implementation process. OBJECTIVE: Evaluate impacts of EBQI on practice-wide depression care and outcomes. DESIGN: Practice-level randomized experiment comparing EBQI with usual care. SETTING: Six Kaiser Permanente of Northern California and 3 Veterans Administration primary care practices randomly assigned to EBQI teams (6 practices) or usual care (3 practices). Practices included 245 primary care clinicians and 250,000 patients. INTERVENTION: Researchers assisted system senior leaders to identify priorities for EBQI teams; initiated the manual-based EBQI process; and provided references and tools. EVALUATION PARTICIPANTS: Five hundred and sixty-seven representative patients with major depression. MAIN OUTCOME MEASURES: Appropriate treatment, depression, functional status, and satisfaction. RESULTS: Depressed patients in EBQI practices showed a trend toward more appropriate treatment compared with those in usual care (46.0% vs 39.9% at 6 months, P = .07), but no significant improvement in 12-month depression symptom outcomes (27.0% vs 36.1% poor depression outcome, P = .18). Social functioning improved significantly (mean score 65.0 vs 56.8 at 12 months, P = .02); physical functioning did not. CONCLUSION: Evidence-based quality improvement had perceptible, but modest, effects on practice performance for patients with depression. The modest improvements, along with qualitative data, identify potential future directions for improving CQI research and practice.
PURPOSE: As evidence mounts for effectiveness, an increasing proportion of the United States population undergoes colorectal cancer screening. However, relatively little is known about rates of follow-up after abnormal results from initial screening tests. This study examines patterns of colorectal cancer screening and follow-up within the nation's largest integrated health care system: the Veterans Health Administration. METHODS: We obtained information about patients who received colorectal cancer screening in the Veterans Health Administration from an existing quality improvement program and from the Veterans Health Administration's electronic medical record. Linking these data, we analyzed receipt of screening and follow-up testing after a positive fecal occult blood test. RESULTS: A total of 39,870 patients met criteria for colorectal cancer screening; of these 61 percent were screened. Screening was more likely in patients aged 70 to 80 years than in those younger or older. Female gender (relative risk, 0.92; 95 percent confidence interval, 0.9-0.95), Black race (relative risk, 0.92; 95 percent confidence interval, 0.89-0.96), lower income, and infrequent primary care visits were associated with lower likelihood of screening. Of those patients with a positive fecal occult blood test (n = 313), 59 percent received a follow-up barium enema or colonoscopy. Patient-level factors did not predict receipt of a follow-up test. CONCLUSIONS: The Veterans Health Administration rates for colorectal cancer screening are significantly higher than the national average. However, 41 percent of patients with positive fecal occult blood tests failed to receive follow-up testing. Efforts to measure the quality of colorectal cancer screening programs should focus on the entire diagnostic process.
BACKGROUND: Depression is undertreated in primary care settings. Little research investigates the impact of patient involvement in decisions on guideline-concordant treatment and depression outcomes. OBJECTIVE: The objective of this study was to determine whether patient involvement in decision-making is associated with guideline-concordant care and improvement in depression symptoms. DESIGN: Prospective cohort study. SETTING: Multisite, nationwide randomized clinical trial of quality improvement strategies for depression in primary care. SUBJECTS: Primary care patients with current symptoms and probable depressive disorder. MEASUREMENTS: Patients rated their involvement in decision-making (IDM) about their care on a 5-point scale from poor to excellent 6 months after entry into the study. Depressive symptoms were measured every 6 months for 2 years using a modified version of the Center for Epidemiologic Studies-Depression (CES-D) scale. We examined probabilities (Pr) of receipt of guideline-concordant care and resolution of depression across IDM groups using multivariate logistic regression models controlling for patient and provider factors. RESULTS: For each 1-point increase in IDM ratings, the probability of patients' report of receiving guideline-concordant care increased 4% to 5% (adjusted Pr 0.31 vs. 0.50 for the lowest and highest IDM ratings, respectively, P < 0.001). Similarly, for each 1-point increase in IDM ratings, the probability of depression resolution increased 2% to 3% (adjusted Pr 0.10 vs. 0.19 for the lowest and highest IDM ratings respectively, P = 0.004). CONCLUSIONS: Depressed patients with higher ratings of involvement in medical decisions have a higher probability of receiving guideline-concordant care and improving their symptoms over an 18-month period. Interventions to increase patient involvement in decision-making may be an important means of improving care for and outcomes of depression.
BACKGROUND: The persistence of a large quality gap between what we know about how to produce high quality clinical care and what the public receives has prompted interest in developing more effective methods to get evidence into practice. Implementation research aims to supply such methods. PURPOSE: This article proposes a set of recommendations aimed at establishing a common understanding of what implementation research is, and how to foster its development. METHODS: We developed the recommendations in the context of a translation research conference hosted by the VA for VA and non-VA health services researchers. IMPACTS: Health care organizations, journals, researchers and academic institutions can use these recommendations to advance the field of implementation science and thus increase the impact of clinical and health services research on the health and health care of the public.
OBJECTIVE: Improving care for depressed primary care (PC) patients requires system-level interventions based on chronic illness management with collaboration among primary care providers (PCPs) and mental health providers (MHPs). We describe the development of an effective collaboration system for an ongoing multisite Department of Veterans Affairs (VA) study evaluating a multifaceted program to improve management of major depression in PC practices. METHOD: Translating Initiatives for Depression into Effective Solutions (TIDES) is a research project that helps VA facilities adopt depression care improvements for PC patients with depression. A regional telephone-based depression care management program used Depression Case Managers (DCMs) supervised by MHPs to assist PCPs with patient management. The Collaborative Care Workgroup (CWG) was created to facilitate collaboration between PCPs, MHPs, and DCMs. The CWG used a 3-phase process: (1) identify barriers to better depression treatment, (2) identify target problems and solutions, and (3) institutionalize ongoing problem detection and solution through new policies and procedures. RESULTS: The CWG overcame barriers that exist between PCPs and MHPs, leading to high rates of the following: patients with depression being followed by PCPs (82%), referred PC patients with depression keeping their appointments with MHPs (88%), and PC patients with depression receiving antidepressants (76%). The CWG helped sites implement site-specific protocols for addressing patients with suicidal ideation. CONCLUSION: By applying these steps in PC practices, collaboration between PCPs and MHPs has been improved and maintained. These steps offer a guide to improving collaborative care to manage depression or other chronic disorders within PC clinics.
National smoking cessation guidelines include recommended strategies for providers and health care organizations, but they offer little guidance on how to structure care. We conducted a cross-sectional survey at 40 Veterans Health Administration facilities, to describe the structure of smoking cessation care, to assess adherence to national guidelines, and to assess facilities' preferred approach to providing smoking cessation treatment. We categorized sites as those using a primary care approach (most smokers treated by the primary care provider) versus a specialty approach (medication restricted to smoking cessation clinics, to which most patients were referred). Nearly all sites reported systematic screening for smoking and counseling of smokers, usually by both nursing staff members and the primary care provider. Most sites used a specialty approach, restricting medication access to smokers attending a cessation program. Future research should evaluate whether this approach provides adequate access and responsiveness to patient preferences for the full population of smokers in primary care.
BACKGROUND: We aimed to determine optimal strategies for complete mortality ascertainment comparing death certificates and United States (US) Veterans Administration (VA) records. METHODS: We constructed a cohort of California veterans who died in fiscal year (FY) 2000 and used VA services the year before death. We determined decedent status using California death certificates linked to VA utilization data and the VA Beneficiary Identification and Records Locator System (BIRLS) death file. We compared the characteristics of decedents who would not have been identified by either single source (e.g., VA BIRLS alone or California death certificates alone) with the rest of the cohort. RESULTS: A total of 8,813 veteran decedents were identified from both VA decedent files and death certificates. Of all decedents, 5,698 / 8,813 (65%) veterans were identified in both source files, but 2,426 / 8,813 (28%) decedents were not identified in VA BIRLS, and 689 / 8,813 (8%) were not identified in death certificates. Compared to the rest of the cohort, decedents whose mortality status was ascertained through either single source differed by race / ethnicity, marital status, and California residence. Clinically, veterans identified from either single source had less comorbidity and were less likely to have been users of VA inpatient or long term care, but equally or more likely to have been users of VA outpatient services. CONCLUSION: As single sources, VA decedent files and death certificates each provided an incomplete record, and death ascertainment was improved by using both source files. Potential bias may vary depending on analytic interest.
BACKGROUND: We sought to develop a more reliable structured implicit chart review instrument for use in assessing the quality of care for chronic disease and to examine if ratings are more reliable for conditions in which the evidence base for practice is more developed. METHODS: We conducted a reliability study in a cohort with patient records including both outpatient and inpatient care as the objects of measurement. We developed a structured implicit review instrument to assess the quality of care over one year of treatment. 12 reviewers conducted a total of 496 reviews of 70 patient records selected from 26 VA clinical sites in two regions of the country. Each patient had between one and four conditions specified as having a highly developed evidence base (diabetes and hypertension) or a less developed evidence base (chronic obstructive pulmonary disease or a collection of acute conditions). Multilevel analysis that accounts for the nested and cross-classified structure of the data was used to estimate the signal and noise components of the measurement of quality and the reliability of implicit review. RESULTS: For COPD and a collection of acute conditions the reliability of a single physician review was quite low (intra-class correlation = 0.16-0.26) but comparable to most previously published estimates for the use of this method in inpatient settings. However, for diabetes and hypertension the reliability is significantly higher at 0.46. The higher reliability is a result of the reviewers collectively being able to distinguish more differences in the quality of care between patients (p < 0.007) and not due to less random noise or individual reviewer bias in the measurement. For these conditions the level of true quality (i.e. the rating of quality of care that would result from the full population of physician reviewers reviewing a record) varied from poor to good across patients. CONCLUSIONS: For conditions with a well-developed quality of care evidence base, such as hypertension and diabetes, a single structured implicit review to assess the quality of care over a period of time is moderately reliable. This method could be a reasonable complement or alternative to explicit indicator approaches for assessing and comparing quality of care. Structured implicit review, like explicit quality measures, must be used more cautiously for illnesses for which the evidence base is less well developed, such as COPD and acute, short-course illnesses.
BACKGROUND: Lipid screening is recommended for patients taking protease inhibitors (PIs). METHODS: We examined data from the Veterans Administration Immunology Case Registry to assess lipid screening among HIV-infected veterans who received PIs for at least 6 consecutive months during 1999 and 2001. We estimated crude and adjusted associations between lipid screening and patient characteristics (age, gender, HIV exposure, and race/ethnicity), comorbidities (AIDS, cardiovascular disease, diabetes, hypertension, smoking, and hyperlipidemia), and facility characteristics (urban location, case management, guidelines, and quality improvement programs). RESULTS: Among 4065 patients on PIs, clinicians screened 2395 (59%) for lipids within 6 months of initiating treatment. Adjusting for patient characteristics, comorbidities, facility traits, and clustering, lipid screening was more common among patients who were cared for in urban areas (relative risk [RR] = 1.3, confidence limits: 1.0-1.5), diabetic (RR = 1.2, confidence limits: 1.1-1.3), or previously hyperlipidemic (RR = 1.4, confidence limits: 1.3-1.5) and less common among patients with a history of intravenous drug use (IVDU) (RR = 0.90, confidence limits: 0.79-1.0) or unknown HIV risk (RR = 0.85, confidence limits: 0.75-0.95). CONCLUSIONS: Six in 10 patients taking PIs receive lipid screening within 6 months of PI use. Systemic interventions to improve overall HIV quality of care should also address lipid screening, particularly among patients with unknown or IVDU HIV risk and those cared for in nonurban areas.
OBJECTIVE: To develop a new instrument for judging the appropriateness of three key services (new prescription, diagnostic test, and referral) as delivered in primary care outpatient visits. DESIGN: Candidate items were generated by a seven-member expert panel, using a five-step nominal technique, for each of three service categories in primary care: new prescriptions, diagnostic tests, and referrals. Expert panelists and a convenience sample of 95 community-based primary care physicians ranked items for (i) importance and (ii) feasibility of ascertaining from a typical office chart record. Resulting items were used to construct a measure of appropriateness using principals of structured implicit review. Two physician reviewers used this measure to judge the appropriateness of 421 services from 160 outpatient visits. SETTING: Primary care practices in a staff model health maintenance organization and a large preferred provider network. MEASURES: Inter-rater agreement was measured using intraclass correlation coefficient (ICC) and kappa statistic. RESULTS: For overall appropriateness, the ICC and kappa were 0.52 and 0.44 for new medication, 0.35 and 0.32 for diagnostic test, and 0.40 and 0.41 for referral, respectively. Only 3% of services were judged to be inappropriate by either reviewer. The proportion of services judged to be less than definitely appropriate by one or both reviewers was 56% for new medication, 31% for diagnostic test, and 22% for referral. CONCLUSIONS: This new measure of appropriateness of primary care services has fair inter-rater agreement for new medications and referrals, similar to appropriateness measures of other general services, but poor agreement for diagnostic tests. It may be useful as a tool to assess the appropriateness of common primary care services in studies of health care quality, but is not suitable for evaluating performance of individual physicians.
PURPOSE: We investigated geographic variation in the treatment of early stage prostate cancer in a national sample of veterans after widespread adoption of the prostate specific antigen test. MATERIALS AND METHODS: Our sample consisted of 16,352 cases from the Veterans Affairs Central Cancer Registry that were diagnosed between January 1997 and December 1999 with stage I or II prostate cancer. We used a 2-stage nested logit model to compare surgery, radiation therapy and noncurative treatment among 4 geographic regions of the United States. RESULTS: Multivariate analysis showed that patients in the West (referent group) had a higher OR of undergoing surgery than radiation compared with the Northeast, South or Midwest (OR 0.77, 95% CI 0.67 to 0.87, OR 0.86, 95% CI 0.76 to 0.98 and OR 0.75, 95% CI 0.64 to 0.87, respectively. Black men, men with lower grade and higher stage tumors, and unmarried men were less likely to undergo curative treatment and less likely to undergo surgery than radiation. CONCLUSIONS: Geographic variation persists in patterns of care in men with early stage prostate cancer. However, this variation is limited to the choice between surgery and radiation rather than to the choice between curative and noncurative treatment.
BACKGROUND: Increasingly, primary care practices include nurse practitioners (NPs) in their staffing mix to contain costs and expand primary care. To achieve these aims in U.S. Department of Veterans Affairs medical centers (VAMCs), national policy endorsed involvement of NPs as primary care (PC) providers. OBJECTIVES: To evaluate the degree to which VAMCs incorporated NPs into PC practices between 1996 and 1999, and to identify the internal and external practice environment features associated with NP use. STUDY DESIGN: We surveyed 131 PC directors of all VAMCs in 1996 and 1999 to ascertain the staffing and characteristics of the PC practice and parent organization (e.g., academic affiliation, level of physician staffing, use of managed care arrangements), and drew on previously published studies and HRSA State Health Workforce Profiles to characterize each practice's regional health care environment (e.g., geographic region, state NP practice laws, state managed care penetration). Using multivariate linear regression, we evaluate the contribution of these environmental and organizational factors on the number of NPs/10,000 PC patients in 1999, controlling for the rate of NP use in 1996. PRINCIPAL FINDINGS: From 1996-1999, NP use increased from 75 percent to 90 percent in VA PC practices. The mean number of NPs per practice increased by about 60 percent (2.0 versus 3.2; p<.001), while the rate of NPs/10,000 PC patients trended upward (2.2 versus 2.7; p=.09). Staffing of other primary care clinicians (e.g., physicians and physician assistants per practice) remained stable, while the NP-per-physician rate increased (0.2 versus 0.4; p<.001). After multivariate adjustment, greater reliance on managed-care-oriented provider education programs (p=.02), the presence of NP training programs (p=.05), and more specialty-trained physicians/10,000 PC patients (p=.09) were associated with greater NP involvement in primary care. CONCLUSIONS: Staffing models in VA PC practices have, in fact, changed, with NPs having a greater presence. However, we found substantial practice-based variations in their use, suggesting that more research is needed to better understand how they have been integrated into practice and what impact their involvement has had on the VA's ability to achieve its restructuring goals.
OBJECTIVES: This study aims to assess overall nursing home (NH) implementation of pressure ulcer (PU) prevention guidelines and variation in implementation rates among a geographically diverse sample of NHs. DESIGN: Review of NH medical records. SETTING: A geographically diverse sample of 35 Veterans Health Administration NHs. PARTICIPANTS: A nested random sample of 834 residents free of PU on admission. MEASUREMENTS: Adherence to explicit quality review criteria based on the Agency for Healthcare Research and Quality Practice Guidelines for PU prevention was measured. Medical record review was used to determine overall and facility-specific adherence rates for 15 PU guideline recommendations and for a subset of six key recommendations judged as most critical. RESULTS: Six thousand two hundred eighty-three instances were identified in which one of the 15 guideline recommendations was applicable to a study patient based on a specific indication or resident characteristic in the medical record. NH clinicians adhered to the appropriate recommendation in 41% of these instances. For the six key recommendations, clinicians adhered in 50% of instances. NHs varied significantly in adherence to indicated guideline recommendations, ranging from 29% to 51% overall adherence across all 15 recommendations (P <.001) and from 24% to 75% across the six key recommendations (P <.001). Adherence rates for specific indications also varied, ranging from 94% (skin inspection) to 1% (education of residents or families). Standardized assessment of PU risk was identified as one of the most important and measurable recommendations. Clinicians performed this assessment in only 61% of patients for whom it was indicated. CONCLUSIONS: NHs' overall adherence to PU prevention guidelines is relatively low and is characterized by large variations between homes in adherence to many recommendations. The low level of adherence and high level of variation to many best-care practices for PU prevention indicate a continued need for quality improvement, particularly for some guidelines.
BACKGROUND: Ethnic minority patients are less likely than white patients to receive guideline-concordant care for depression. It is uncertain whether racial and ethnic differences exist in patient beliefs, attitudes, and preferences for treatment. METHODS: A telephone survey was conducted of 829 adult patients (659 non-Hispanic whites, 97 African Americans, 73 Hispanics) recruited from primary care offices across the United States who reported 1 week or more of depressed mood or loss of interest within the past month and who met criteria for Major Depressive Episode in the past year. Within this cohort, we examined differences among African Americans, Hispanics, and whites in acceptability of antidepressant medication and acceptability of individual counseling. RESULTS: African Americans (adjusted OR, 0.30; 95% CI 0.19-0.48) and Hispanics (adjusted OR, 0.44; 95% CI, 0.26-0.76) had lower odds than white persons of finding antidepressant medications acceptable. African Americans had somewhat lower odds (adjusted OR, 0.63; 95% CI, 0.35-1.12), and Hispanics had higher odds (adjusted OR, 3.26; 95% CI, 1.08-9.89) of finding counseling acceptable than white persons. Some negative beliefs regarding treatment were more prevalent among ethnic minorities; however adjustment for these beliefs did not explain differences in acceptability of treatment for depression. CONCLUSIONS: African Americans are less likely than white persons to find antidepressant medication acceptable. Hispanics are less likely to find antidepressant medication acceptable, and more likely to find counseling acceptable than white persons. Racial and ethnic differences in beliefs about treatment modalities were found, but did not explain differences in the acceptability of depression treatment. Clinicians should consider patients' cultural and social context when negotiating treatment decisions for depression. Future research should identify other attitudinal barriers to depression care among ethnic minority patients.
OBJECTIVE: To examine quality improvement (QI) implementation in nursing homes, its association with organizational culture, and its effects on pressure ulcer care. DATA SOURCES/STUDY SETTING: Primary data were collected from staff at 35 nursing homes maintained by the Department of Veterans Affairs (VA) on measures related to QI implementation and organizational culture. These data were combined with information obtained from abstractions of medical records and analyses of an existing database. STUDY DESIGN: A cross-sectional analysis of the association among the different measures was performed. DATA COLLECTION/EXTRACTION METHODS: Completed surveys containing information on QI implementation, organizational culture, employee satisfaction, and perceived adoption of guidelines were obtained from 1,065 nursing home staff. Adherence to best practices related to pressure ulcer prevention was abstracted from medical records. Risk-adjusted rates of pressure ulcer development were calculated from an administrative database. PRINCIPAL FINDINGS: Nursing homes differed significantly (p<.001) in their extent of QI implementation with scores on this 1 to 5 scale ranging from 2.98 to 4.08. Quality improvement implementation was greater in those nursing homes with an organizational culture that emphasizes innovation and teamwork. Employees of nursing homes with a greater degree of QI implementation were more satisfied with their jobs (a 1-point increase in QI score was associated with a 0.83 increase on the 5-point satisfaction scale, p<.001) and were more likely to report adoption of pressure ulcer clinical guidelines (a 1-point increase in QI score was associated with a 28 percent increase in number of staff reporting adoption, p<.001). No significant association was found, though, between QI implementation and either adherence to guideline recommendations as abstracted from records or the rate of pressure ulcer development. CONCLUSIONS: Quality improvement implementation is most likely to be successful in those VA nursing homes with an underlying culture that promotes innovation. While QI implementation may result in staff who are more satisfied with their jobs and who believe they are providing better care, associations with improved care are uncertain.
OBJECTIVE: This study examined whether depressed patients treated exclusively in primary care report less need for care and less acceptability of treatment options than those depressed patients treated in the specialty mental health setting after up to 6 months of treatment. DESIGN: Cross-sectional study. SETTING: Forty-five community primary care practices. PARTICIPANTS: A total of 881 persons with major depression who had received mental health services in the previous 6 months and who enrolled in 3 of the 4 Quality Improvement for Depression Collaboration Studies. MEASUREMENTS AND RESULTS: Patients were categorized into 1 of 2 groups: 1) having received mental health services exclusively from a primary care provider (45%), or 2) having received any services from a mental health specialist (55%) in the previous 6 months. Compared with patients who received care from mental health specialists, patients who received mental health services exclusively from primary care providers had 2.7-fold the odds (95% confidence interval [CI], 1.6 to 4.4) of reporting that no treatment was definitely acceptable and had 2.4-fold the odds (95% CI, 1.5 to 3.9) of reporting that evidence-based treatment options (antidepressant medication) were definitely not acceptable. These results were adjusted for demographic, social/behavioral, depression severity, and economic factors using multiple logistic regression analysis. CONCLUSIONS: Patients with depression treated exclusively by primary care providers have attitudes and beliefs more averse to care than those seen by mental health specialists. These differences in attitudes and beliefs may contribute to lower quality depression care observed in comparisons of primary care and specialty mental health providers.
PURPOSE: The relative effectiveness of the diverse approaches used to promote preventive care activities, such as cancer screening and adult immunization, is unknown. Despite many high-quality published studies, practices and policymakers attempting to improve preventive care have little definitive information on which to base decisions. Thus, we quantitatively assessed the relative effectiveness of previously studied approaches for improving adherence to adult immunization and cancer screening guidelines. DATA SOURCES: MEDLINE, the Cochrane Effective Practice and Organization of Care Review Group register, previous systematic reviews, and the Medicare Health Care Quality Improvement Project database. STUDY SELECTION: Controlled clinical trials that assessed interventions to increase use of immunizations for influenza and pneumococcal pneumonia and screening for colon, breast, and cervical cancer in adults. DATA EXTRACTION: Two reviewers independently extracted data on characteristics and outcomes from unmasked articles. Intervention components to increase use of services were classified as reminder, feedback, education, financial incentive, legislative action, organizational change, or mass media campaign. DATA SYNTHESIS: Of 552 abstracts and articles, 108 met the inclusion criteria. To assess the effect of intervention components, meta-regression models were developed for immunizations and each cancer screening service by using 81 studies with a usual care or control group. The most potent intervention types involved organizational change (the adjusted odds ratios for increased use of services from organizational change ranged from 2.47 to 17.6). Organizational change interventions included the use of separate clinics devoted to prevention, use of a planned care visit for prevention, or designation of nonphysician staff to do specific prevention activities. The next most effective intervention components were patient financial incentives (adjusted odds ratios, 1.82 to 3.42) and patient reminders (adjusted odds ratios, 1.74 to 2.75); the adjusted odds ratios ranged from 1.29 to 1.53 for patient education and from 1.10 to 1.76 for feedback. CONCLUSIONS: Rates of adult immunization and cancer screening are most likely to improve when a health care organization supports performance of these activities through organizational changes in staffing and clinical procedures. Involving patients in self-management through patient financial incentives and reminders is also likely to positively affect performance.