Caroline Goldzweig

Costs And Benefits Of Health Information Technology: New Trends From The Literature

To understand what is new in health information technology (IT), we updated a systematic review of health IT with studies published during 2004-2007. From 4,683 titles, 179 met inclusion criteria. We identified a proliferation of patient-focused applications although little formal evaluation in this area; more descriptions of commercial electronic health records (EHRs) and health IT systems designed to run independently from EHRs; and proportionately fewer relevant studies from the health IT leaders. Accelerating the adoption of health IT will require greater public-private partnerships, new policies to address the misalignment of financial incentives, and a more robust evidence base regarding IT implementation.

Electronic Patient Portals: Evidence on Health Outcomes, Satisfaction, Efficiency, and Attitudes: A Systematic Review

BACKGROUND Patient portals tied to provider electronic health record (EHR) systems are increasingly popular. PURPOSE To systematically review the literature reporting the effect of patient portals on clinical care. DATA SOURCES PubMed and Web of Science searches from 1 January 1990 to 24 January 2013. STUDY SELECTION Hypothesis-testing or quantitative studies of patient portals tethered to a provider EHR that addressed patient outcomes, satisfaction, adherence, efficiency, utilization, attitudes, and patient characteristics, as well as qualitative studies of barriers or facilitators, were included. DATA EXTRACTION Two reviewers independently extracted data and addressed discrepancies through consensus discussion. DATA SYNTHESIS From 6508 titles, 14 randomized, controlled trials; 21 observational, hypothesis-testing studies; 5 quantitative, descriptive studies; and 6 qualitative studies were included. Evidence is mixed about the effect of portals on patient outcomes and satisfaction, although they may be more effective when used with case management. The effect of portals on utilization and efficiency is unclear, although patient race and ethnicity, education level or literacy, and degree of comorbid conditions may influence use. LIMITATION Limited data for most outcomes and an absence of reporting on organizational and provider context and implementation processes. CONCLUSION Evidence that patient portals improve health outcomes, cost, or utilization is insufficient. Patient attitudes are generally positive, but more widespread use may require efforts to overcome racial, ethnic, and literacy barriers. Portals represent a new technology with benefits that are still unclear. Better understanding requires studies that include details about context, implementation factors, and cost.

The State of Women Veterans' Health Research

AbstractOBJECTIVE: Assess the state of women veterans’ health research. DESIGN: Systematic review of studies that pertained specifically to or included explicit information about women veterans. A narrative synthesis of studies in 4 domains/topics was conducted: Stress of military life; Health and performance of military/VA women; Health services research/quality of care; and Psychiatric conditions. MEASUREMENTS AND MAIN RESULTS: We identified 182 studies. Of these, 2 were randomized-controlled trials (RCTs) and the remainder used observational designs. Forty-five percent of studies were VA funded. We identified 77 studies pertaining to the stress of military life, of which 21 reported on sexual harassment or assault. Rates of harassment ranged from 55% to 79% and rates of sexual assault from 4.2% to 7.3% in active duty military women and 11% to 48% among women veterans. Forty-two studies concerned the health and performance of military/VA women, with 21 studies evaluating sexual assault and posttraumatic stress disorder (PTSD) and their effect on health. Fifty-nine studies assessed various aspects of health services research. Eight studies assessed quality of care and 5, patient satisfaction. Twenty-five studies assessed utilization and health care organization, and findings include that women veterans use the VA less than men, that gender-specific reasons for seeking care were common among female military and veteran personnel, that provision of gender-specific care increased women veterans’ use of VA, and that virtually all VAs have available on-site basic women’s health services. Fifty studies were classified as psychiatric; 31 of these were about the risk, prevalence, and treatment of PTSD. CONCLUSIONS: Most research on VA women’s health is descriptive in nature and has concerned PTSD, sexual harassment and assault, the utilization and organization of care, and various psychiatric conditions. Experimental studies and studies of the quality of care are rare.

Screening for Osteoporosis in Men: A Systematic Review for an American College of Physicians Guideline

Osteoporosis in men is substantially underdiagnosed and undertreated in the United States and worldwide (1). Looker and colleagues (2), evaluating the Third National Health and Nutrition Examination Survey database in 1997, estimated that between 300000 and 2 million Americans older than age 50 years have osteoporosis and up to 13 million may have low bone mass. A 60-year-old white man has a 25% lifetime risk for an osteoporotic fracture (3), and the consequences of the fracture can be severe. The 1-year mortality rate in men after hip fracture is twice that in women (1). Diagnostic evaluation and treatment of men at high risk for fracture remains low, despite the prevalence of this condition in men (1, 4). Dual-energy x-ray absorptiometry (DXA) is the current gold standard test for diagnosing osteoporosis in people without a known osteoporotic fracture. It is, however, an imperfect test, identifying less than one half of the people who progress to have an osteoporotic fracture. For example, in the Rotterdam Study (5), the sensitivity of DXA-determined osteoporosis was only 44% and 21% in identifying elderly women and men, respectively, who subsequently had a nonvertebral fracture. Clearly, factors other than low bone mass are important in identifying patients at elevated risk for osteoporotic fracture. An increased risk for falling may explain why some factors are identified as risk factors for osteoporotic fractures independent of bone mineral density (BMD) (for example, tricyclic antidepressants) (6). Although imperfect, a strong and graded relationship exists between DXA-determined BMD and future osteoporotic fracture in women and men (7, 8). The Rotterdam Study (7) reported that the incidence of vertebral and hip fracture approximately doubled for every SD decrease in BMD at the lumbar spine and femoral neck, respectively. Furthermore, pharmacologic treatment of men with low DXA-determined BMD has been shown to decrease the risk for subsequent fractures (9). Some organizations have called for universal screening of older men with DXA testing (5, 10). Although these universal DXA screening strategies would probably increase the diagnosis rate of undetected male osteoporosis, such strategies may not be cost-effective in all men. Schousboe and colleagues (11) recently reported that universal screening would probably be cost-effective only in men age 80 years or older, although this result was sensitive to the cost of treatment. In addition, DXA is not portable, requires a special technician, and is not readily available in many locales (5, 1013), and efforts to find a non-DXA test that is suitable for widespread use have not succeeded to date. We conducted a systematic review of the published literature to identify evidence relevant to screening men for osteoporosis. We focused solely on studies concerning the identification of men with risk factors for fracture that may be mediated through low BMD. Recent reviews have summarized the evidence on non-BMD risk factors, including determining who is at increased risk for falls (14) and treatment of persons at elevated risk (15). Our aims were to determine the risk factors for low BMDmediated osteoporotic fracture in men that could be used to help select patients for BMD testing and whether non-DXA screening tests could be reliably used to diagnose DXA-defined osteoporosis. Methods Search Strategy and Study Selection We searched MEDLINE from 1990 through July 2007 to find articles relevant to risk factors for low BMD and osteoporotic fracture and screening tests for male osteoporosis (Table 1). In addition to our MEDLINE search, we performed reference mining of retrieved articles and previous reviews and solicited articles from experts. Table 1. Search Strategy To be included in our review, a study had to measure risk factors for low BMD or osteoporotic fracture in men or compare a non-DXA index screening test with a gold standard reference test in men (DXA or, for calcaneal ultrasonography, fracture occurrence). Eligible risk factors were judged to be mediated through low BMD on the basis of published literature or expert opinion. Eligible study designs included controlled clinical trials, cohort studies and case series, casecontrol studies, and systematic reviews or meta-analyses. We excluded case reports, nonsystematic reviews, letters to the editor, and other similar publications. Four trained researchers (working in pairs) reviewed the list of titles and selected articles for further review. They reviewed each retrieved article with a brief screening form that collected data on demographic characteristics, study design, and clinical outcomes. Data Abstraction Two physicians independently abstracted data and resolved differences by repeated review. For studies evaluating the performance of osteoporosis screening tests, a statistician extracted sensitivity, specificity, and their SEs at the relevant quantitative ultrasonography or questionnaire threshold. We calculated the SEs of sensitivity and specificity for studies that did not report them (16). If the sensitivity or specificity was not reported in a study and if they could not be calculated from the given data, we excluded the study from quantitative analysis. We contacted the original authors of some studies to obtain the sample sizes per group needed to perform this calculation. Quality Assessment To evaluate the quality of the included diagnostic studies, we evaluated for potential sources of bias. Our quality appraisal included components from the Quality Assessment of Diagnostic Accuracy Studies (QUADAS) evaluation tool (17) and additional quality variables noted as important in other published studies (11). The QUADAS tool is a 14-item questionnaire that evaluates the bias, data variability, and quality of reporting in diagnostic accuracy studies (18). Data Synthesis For studies of risk factors for low BMDmediated osteoporotic fracture, we identified a meta-analysis and summarized the results. We assessed the study by using the Overview Quality Assessment Questionnaire (19) and judged it to be of sufficiently high quality and acceptable to use the results. We summarized studies published after this meta-analysis and presented them narratively. For studies of non-DXA screening tests that met inclusion criteria and were clinically appropriate, we reviewed test thresholds for determining osteoporosis across studies to see whether they were comparable and evaluate whether statistical pooling was appropriate. This analysis revealed these studies to be too heterogeneous for statistical pooling. Therefore, where data were available, we abstracted information on the sensitivity and specificity of the screening tests and graphed the data points of studies evaluating the same screening method on receiver-operating characteristic (ROC) curves (20). Rating the Body of Evidence We assessed the overall quality of evidence for outcomes by using a method developed by the Grading of Recommendations, Assessment, Development, and Evaluation group (GRADE) (21), which classifies the grade of evidence across outcomes (Table 2). Table 2. GRADE Categories of Quality of Evidence Role of the Funding Source The U.S. Department of Veterans Affairs Health Services Research and Development Evidence Synthesis Activity Pilot Program provided funding. The funding source was involved in development of the key questions and provided review on a draft version of the evidence report, but it had no role in the decision to submit the manuscript for publication. Results Literature Flow Our initial literature search identified 614 titles (Figure 1): 540 from the electronic search, 69 from reference mining, and 5 from content experts. Of these, 177 assessed risk factors for low BMDmediated osteoporotic fracture and 20 evaluated screening tools for osteoporosis. The studies that addressed screening tools for osteoporosis enrolled a total of 28359 participants (2248). Table 3 shows details of these screening studies. Figure 1. Study flow diagram. Some articles assessed multiple risk factors. A total of 614 titles were identified for review; 20 articles evaluated male osteoporosis screening tools and were included in the analysis. BMD = bone mineral density; PSA = prostate-specific antigen. Table 3. Characteristics of NonDual-Energy X-Ray Absorptiometry Osteoporosis Screening Tests Risk Factors for Low BMDMediated Fracture We identified a systematic review and meta-analysis by Espallargues and colleagues (49) of risk factors for low BMDmediated osteoporotic fracture to guide bone densitometry assessments. Espallargues and colleagues searched several databases up to 1997 and identified 94 cohort studies, 72 casecontrol studies, and 1 randomized clinical trial. Most studies were performed in participants older than age 50 years and used American or European study populations. Where feasible, the authors used fixed-effects methods to provide meta-analytic pooled estimates of risk. They classified risk factors into the following groups: high risk, an associated relative risk or odds ratio of 2 or greater; moderate risk, risk values of between 1.0 and 2.0; no risk, risk values close or equal to the null value, or even a protective effect; and unclassifiable, data were insufficient to reach a conclusion or contradictory. Strengths of this review include the search strategy and identification of a very large number of articles, categorization of risk factors, and use of meta-analytic techniques to provide summary results. The main limitation is that data specific for men are not presented. The authors performed separate analyses for men and women, found no important differences, and presented results for both sexes combined. The most important high-risk factors relevant to men are age older than 70 years and low body weight (body mass index <20 to 25 m/kg2). Additional important high-risk factors are physical inactivity, corticosteroid use, and prev

The organization and delivery of women’s health care in Department of Veterans Affairs Medical Center

Congressional eligibility reforms have profoundly changed the array of services to be made available to women veterans in Department of Veterans Affairs (VA) health care facilities. These include access not only to primary and specialty care services already afforded VA users, but also to a full spectrum of gender-specific services, including prenatal, obstetric, and infertility services never before provided in VA settings. The implications of this legislative mandate for delivering care to women veterans are poorly understood, as little or no information has been available about how care for women veterans is organized. This article reports on the first national assessment of variations in the organization of care for women veterans.

Availability of comprehensive women's health care through Department of Veterans Affairs Medical Center.

Despite increased numbers of women veterans, little is known about health services delivery to women across the Department of Veterans Affairs (VA). To assess VA availability of womens health services, we surveyed the senior clinician at each VA site serving 400 or more women veterans. We found that virtually all sites have developed arrangements, either directly or through off-site contracts, to ensure availability of comprehensive womens health care. On-site care, however, is routinely available only for basic services. Future work should evaluate cost and quality trade-offs between using non-VA sites to increase specialized service availability and using VA sites to enhance continuity of care.

A cancer genetics toolkit improves access to genetic services through documentation and use of the family history by primary-care clinicians

Purpose:We developed, implemented, and evaluated a multicomponent cancer genetics toolkit designed to improve recognition and appropriate referral of individuals at risk for hereditary cancer syndromes.Methods:We evaluated toolkit implementation in the women’s clinics at a large Veterans Administration medical center using mixed methods, including pre–post semistructured interviews, clinician surveys, and chart reviews, and during implementation, monthly tracking of genetic consultation requests and use of a reminder in the electronic health record. We randomly sampled 10% of progress notes 6 months before (n = 139) and 18 months during implementation (n = 677).Results:The toolkit increased cancer family history documentation by almost 10% (26.6% pre- and 36.3% postimplementation). The reminder was a key component of the toolkit; when used, it was associated with a twofold increase in cancer family history documentation (odds ratio = 2.09; 95% confidence interval: 1.39–3.15), and the history was more complete. Patients whose clinicians completed the reminder were twice as likely to be referred for genetic consultation (4.1–9.6%, P < 0.0001).Conclusion:A multicomponent approach to the systematic collection and use of family history by primary-care clinicians increased access to genetic services.Genet Med 16 1, 60–69.

Addressing Physician Concerns About Performance Profiling: Experience With a Local Veterans Affairs Quality Evaluation Program

The Authors investigated the addition of novel quality indicators, patient risk adjustment, and simple statistics in an ongoing clinician feedback initiative that profiles diabetes care for 13 Veterans Affairs (VA) clinics. Data were extracted from a computerized database for calendar years 2004 to 2005. Performance was assessed with 4 monitoring measures, 3 intermediate outcomes, and 3 appropriate treatment measures. Attainment rates for each indicator were calculated by clinic. The effect of risk adjustment and the significance of clinic performance variation were determined with multivariate logistic models. Analysis of the 10 quality measures revealed lower attainment and greater clinic-level variation for the less familiar indicators. Statistically significant performance variations were detected among clinics, with several being of a clinically important magnitude. Risk adjustment did not substantially change performance. The addition of clinically relevant quality measures and simple statistics appeared to enhance the characterization of performance by this profiling program. (Am J Med Qual 2009;24:123-131)