Sex differences in osteoporosis self-efficacy among community-residing older adults presenting for DXA.

The Osteoporosis Self Efficacy Scale was determined to equivalently measure calcium and exercise beliefs in both sexes. Despite data illustrating men's and women's similar self-efficacy, gender differences in clinical predictors of self-efficacy imply that efforts to improve care must account for more than self-efficacy. INTRODUCTION: To understand the extent to which the Osteoporosis Self Efficacy (OSE) Scale is reliable for both men and women. A secondary objective was to evaluate sex differences in OSE. METHODS: For this cross-sectional study, we analyzed data collected as part of the Patient Activation after DXA Result Notification (PAADRN) pragmatic trial which enrolled 7749 community-residing adults aged 50 and older reporting for bone densitometry. We used univariable methods, item analysis, exploratory and confirmatory factor analyses, and linear regression to evaluate sex differences in OSE responses and measurement. RESULTS: In this sample, the confirmatory factor analysis model for OSE both overall and within groups indicated a poor fit. The sex differences in the measurement model, however, were minor and reflected configural invariance (i.e., constructs were measuring the same things in both men and women), confirming that the OSE was measuring the same constructs in men and women. Men overall had higher exercise self-efficacy and women higher calcium self-efficacy. Overall, education, hip fracture, and self-reported health status predicted exercise self-efficacy whereas prior DXA, self-reported osteoporosis, and history of pharmacotherapy use did not. Predictors of calcium self-efficacy differed by gender. CONCLUSION: The OSE can be used to measure calcium and exercise self-efficacy in all older adults. However, gender differences in clinical predictors of self-efficacy and the lack of an association of prior DXA with self-efficacy imply that interventions to improve self-efficacy may be insufficient to drive significant improvement in rates of osteoporosis evaluation and treatment. TRIAL REGISTRATION: Patient Activation after DXA Result Notification (PAADRN), NCT01507662, https://clinicaltrials.gov/ct2/show/NCT01507662.

Validity, reliability, and responsiveness to change of the "Osteoporosis and You" knowledge scale.

We studied the Osteoporosis and You knowledge scale in 7749 participants enrolled in a clinical trial. Results confirmed its psychometric properties in a diverse audience. Baseline scores were associated with better recall of bone mineral density test results at follow-up; however, the scale was not responsive to knowledge change. INTRODUCTION: The goal of this study was to confirm the measurement properties of the Osteoporosis and You (O&Y) knowledge scale using classic test theory methods in the 7749 men and women participating in the Patient Activation After DXA Result Notification (PAADRN) randomized controlled trial. We hypothesized a simple factor structure that would reflect the four-factor model previously published. METHODS: We conducted psychometric analyses which included item analysis, internal consistency reliability, construct validity using exploratory and confirmatory factor analysis (EFA and CFA), comparing knowledge levels across pre-specified groups, and responsiveness to change. RESULTS: PAADRN participants were predominantly college educated, White females with low bone density, and a moderate level of 10-year fracture risk. EFA revealed four domains closely matching those in two previous reports. While overall scale reliability was minimally acceptable at 0.68, the reliabilities of the domain subscales were unacceptably low (0.59, 0.64, 0.45, and 0.36 for the Biological, Lifestyle, Consequences, and Prevention and Treatment subscales). CFA revealed the data fit the hypothesized model reasonably well with the items loading on their expected latent variable. The scale was not responsive to change, but although not significant, improved knowledge indicated better DXA result recall at 12 and 52 weeks. CONCLUSIONS: In the PAADRN population, the O&Y knowledge scale had psychometric properties similar to those previously reported. Over 12 and 52 weeks, participants did not demonstrate significant changes in knowledge, but those with higher knowledge at baseline were more likely to accurately recall their baseline DXA result.

The cost of a patient activation intervention for achieving successful outcomes: results from the PAADRN randomized controlled trial.

In a large, pragmatic clinical trial, we calculated the costs of achieving four successful patient-centered outcomes using a tailored patient activation DXA result letter accompanied by a bone health brochure. The cost to achieve one successful outcome (e.g., a 0.5 standard deviation improvement in care satisfaction) ranged from $127.41 to $222.75. INTRODUCTION: Pragmatic randomized controlled trials (RCTs) should focus on patient-centered outcomes and report the costs for achieving those outcomes. We calculated per person incremental intervention costs, the number-needed-to-treat (NNT), and incremental per patient costs (cost per NNT) for four patient-centered outcomes in a direct-to-patient bone healthcare intervention. METHODS: The Patient Activation after DXA Result Notification (PAADRN) pragmatic RCT enrolled 7749 patients presenting for DXA at three health centers between February 2012 and August 2014. Interviews occurred at baseline and 52 weeks post-DXA. Intervention subjects received an individually tailored DXA result letter accompanied by an educational bone health brochure 4 weeks post-DXA, while the usual care subjects did not. Outcomes focused on patients (a) correctly identifying their results, (b) contacting their providers, (c) discussing their results with their providers, and (d) satisfaction with their bone healthcare. NNTs were determined using intention-to-treat linear probability models, per person incremental intervention costs were calculated, and costs per NNT were computed. RESULTS: Mean age was 66.6 years old, 83.8% were women, and 75.3% were non-Hispanic whites. The incremental per patient cost (costs per NNT) to increase the ability of a patient to (a) correctly identify their DXA result was $171.07; (b) contact their provider about their DXA result was $222.75; (c) discuss their DXA result with their provider was $193.55; and (d) achieve a 0.5 SD improvement in satisfaction with their bone healthcare was $127.41. CONCLUSION: An individually tailored DXA result letter accompanied by an educational brochure can improve four patient-centered outcomes at a modest cost. TRIAL REGISTRATION: clinicaltrials.gov identifier NCT01507662.

The effects of a patient activation intervention on smoking and excessive drinking cessations: results from the PAADRN randomized controlled trial.

Patients may exhibit risky bone health behaviors. In a large pragmatic clinical trial, we tested whether a tailored patient activation DXA result letter accompanied by a bone health brochure led to smoking and excessive drinking cessations. The intervention did not, however, alter these risky bone health behaviors. INTRODUCTION: Besides dual-energy x-ray absorptiometry (DXA) screening and pharmacotherapy when indicated, beneficial bone health behaviors including proper calcium and vitamin D intake and weight-bearing and muscle-strengthening exercise should be encouraged. Similarly, risky bone health behaviors like smoking and excessive drinking should be discouraged. We examined whether a direct-to-patient activation intervention led to smoking and excessive drinking cessations. METHODS: The Patient Activation after DXA Result Notification (PAADRN) pragmatic clinical trial enrolled 7749 patients between February 2012 and August 2014. Interviews occurred at baseline and 12 and 52 weeks later. Intervention subjects were mailed an individually tailored DXA results letter accompanied by a bone health educational brochure 4 weeks post-DXA. Usual care subjects were not sent these materials. Smoking and excessive drinking were assessed by self-report at each interview. Intention-to-treat linear probability models were used. RESULTS: Mean age was 66.6 years, 83.8% were women, and 75.3% were Non-Hispanic-Whites. Smoking was reported at baseline by 7.6% of the intervention group vs. 7.7% of the usual care group (p = 0.873). Excessive drinking was reported at baseline by 6.5% of the intervention group vs. 6.5% of the usual care group (p = 0.968). Intention-to-treat analyses indicated no significant differences between the intervention vs. usual care groups at either 12 or 52 weeks post-DXA (all p values ≥ 0.346). CONCLUSION: An individually tailored DXA result letter accompanied by an educational brochure did not lead to smoking or excessive drinking cessations in patients who received DXA. TRIAL REGISTRATION: clinicaltrials.gov identifier NCT01507662.

Patient-activation and guideline-concordant pharmacological treatment after bone density testing: the PAADRN randomized controlled trial.

Patients often do not know or understand their bone density test results, and pharmacological treatment rates are low. In a clinical trial of 7749 patients, we used a tailored patient-activation result letter accompanied by a bone health brochure to improve appropriate pharmacological treatment. Treatment rates, however, did not improve. INTRODUCTION: Patients often do not know or understand their dual-energy x-ray absorptiometry (DXA) test results, which may lead to suboptimal care. We tested whether usual care augmented by a tailored patient-activation DXA result letter accompanied by an educational brochure would improve guideline-concordant pharmacological treatment compared to usual care only. METHODS: We conducted a randomized, controlled, double-blinded, pragmatic clinical trial at three health care centers in the USA. We randomized 7749 patients ≥50 years old and presenting for DXA between February 2012 and August 2014. The primary clinical endpoint at 12 and 52 weeks post-DXA was receiving guideline-concordant pharmacological treatment. We also examined four of the steps along the pathway from DXA testing to that clinical endpoint, including (1) receiving and (2) understanding their DXA results and (3) having subsequent contact with their provider and (4) discussing their results and options. RESULTS: Mean age was 66.6 years, 83.8 % were women, and 75.3 % were non-Hispanic whites. Intention-to-treat analyses revealed that guideline-concordant pharmacological treatment was not improved at either 12 weeks (65.1 vs. 64.3 %, p = 0.506) or 52 weeks (65.2 vs. 63.8 %, p = 0.250) post-DXA, even though patients in the intervention group were more likely (all p < 0.001) to recall receiving their DXA results letter at 12 weeks, correctly identify their results at 12 and 52 weeks, have contact with their provider at 52 weeks, and have discussed their results with their provider at 12 and 52 weeks. CONCLUSION: A tailored DXA result letter and educational brochure failed to improve guideline-concordant care in patients who received DXA.

The personal shopper--a pilot randomized trial of grocery store-based dietary advice.

The objective of this study was to test the feasibility and preliminary efficacy of a store-based dietary education intervention against traditional clinic-based advice. Patients with obesity (n = 55, mean [standard deviation, SD] age 44.3[9.2] years, 64% women, 87% non-Hispanic Black) were randomized to receive dietary counselling either in a grocery store or a clinic. Change between groups (analysis of covariance) was assessed for outcomes including: dietary quality (Healthy Eating Index--2005 [0-100 points]), and nutritional knowledge (0-65-point knowledge scale). Both groups reported improved diet quality at the end of the study. Grocery participants had greater increases in knowledge (mean [SD] change = 5.7 [6.1] points) than clinic participants (mean [SD] change = 3.2 [4.0] points) (P = 0.04). Participants enjoyed the store-based sessions. Grocery store-based visits offer a promising approach for dietary counselling.

Health literacy and pap testing in insured women.

Several studies have found a link between health literacy and participation in cancer screening. Most, however, have relied on self-report to determine screening status. Further, until now, health literacy measures have assessed print literacy only. The purpose of this study was to examine the relationship between participation in cervical cancer screening (Papanicolaou [Pap] testing) and two forms of health literacy-reading and listening. A demographically diverse sample was recruited from a pool of insured women in Georgia, Massachusetts, Hawaii, and Colorado between June 2009 and April 2010. Health literacy was assessed using the Cancer Message Literacy Test-Listening and the Cancer Message Literacy Test-Reading. Adherence to cervical cancer screening was ascertained through electronic administrative data on Pap test utilization. The relationship between health literacy and adherence to evidence-based recommendations for Pap testing was examined using multivariate logistic regression models. Data from 527 women aged 40 to 65 were analyzed and are reported here. Of these 527 women, 397 (75 %) were up to date with Pap testing. Higher health literacy scores for listening but not reading predicted being up to date. The fact that health literacy listening was associated with screening behavior even in this insured population suggests that it has independent effects beyond those of access to care. Patients who have difficulty understanding spoken recommendations about cancer screening may be at risk for underutilizing screening as a result.

The role for public health in reducing iatrogenic patient injuries.

The authors argue that accidental patient deaths are a significant public health concern and that public health professionals are well positioned to contribute to ongoing efforts to protect the public from unintended injuries in the hospital.

Variation in the use of alternative levels of hospital care for newborns in a managed care organization.

OBJECTIVE(S): To assess the extent to which variation in the use of neonatal intensive care resources in a managed care organization is a consequence of variation in neonatal health risks and/or variation in the organization and delivery of medical care to newborns. STUDY DESIGN: Data were collected on a cohort of all births from four sites in Kaiser Permanente by retrospective medical chart abstraction of the birth admission. Likelihood of admission into a neonatal intensive care unit (NICU) is estimated by logistic regression. Durations of NICU stays and of hospital stay following birth are estimated by Cox proportional hazards regression. RESULTS: The likelihood of admission into NICU and the duration of both NICU care and hospital stay are proportional to the degree of illness and complexity of diagnosis. Adjusting for variation in health risks across sites, however, does not fully account for observed variation in NICU admission rates or for length of hospital stay. One site has a distinct pattern of high rates of NICU admissions; another site has a distinct pattern of low rates of NICU admission but long durations of hospital stay for full-term newborns following NICU admission as well as for all newborns managed in normal care nurseries. CONCLUSIONS: Substantial variations exist among sites in the risk-adjusted likelihood of NICU admission and in durations of NICU stay and hospital stay. Hospital and NICU affiliation (Kaiser Permanente versus contract) or affiliation of the neonatologists (Kaiser Permanente versus contract) could not explain the variation in use of alternative levels of hospital care. The best explanation for these variations in neonatal resource use appears to be the extent to which neonatology and pediatric practices differ in their policies with respect to the management of newborns of minimal to moderate illness.

A low-cost approach to prospective identification of impending high cost outcomes.

OBJECTIVES: The overall objective of this study was to define and evaluate patterns of use of medical services in the care of patients with chronic illness that represent circumstances which, if modified, might lead to reduction in risk of acute-level care. METHODS: This was a retrospective observational study. The study population consisted of Kaiser Permanente enrollees at four sites during January 1993 through June 1995, who were 20 to 64 years of age and had two of three chronic diseases (diabetes, circulatory disorders, obstructive pulmonary disorders). Using logistic regression, the effect of primary care visit patterns and therapeutically risky drug combinations on likelihood of hospital admission in a subsequent 3-month period is adjusted for age, gender, and disease state in the prior 12-month period. RESULTS: Enrollees with visits to three or more different primary care physicians were 46% more likely to be admitted than expected (P < 0.01) according to their age, gender, and disease state, and those with therapeutically risky drug combinations were 34% more likely to be admitted (P < 0.01). CONCLUSIONS: The risk adjustment models evaluated in this study defined care processes associated with increased risk of subsequent acute-level services. Those processes may represent nascent acute disease states or suboptimal organization of care delivery. The results of these models can be used to inform changes in organization and delivery of outpatient care that might improve patient outcomes.

Physician profiling using outpatient pharmacy data as a source for case mix measurement and risk adjustment.

Pharmacy data are a potential source of information on the health risks of members in a managed care organization (MCO). Reasons why these data can serve as a basis for case mix measurement of MCO populations are reviewed. Several pharmacy-based case mix measurement systems (CDS, KPARx) are summarized. Applications of pharmacy-based case mix systems for profiling of primary physician panels in an MCO are discussed and illustrated with several examples.

Medical accidents in hospital care: applications of failure analysis to hospital quality appraisal.

BACKGROUND: Medical accidents can be understood as patient injuries that result from interaction of physician or nurse error during the provision of care with faults latent in the hospital system. Medical accidents are not random events but are events with discoverable associations between human error and system faults through application of methods of failure analysis in the evaluation of patient injuries. CASE ANALYSIS: The goal of a failure analysis is to make apparent system faults that are otherwise obscured. Analyses seek to answer several questions. What characteristics of the system failed to prevent a slip, mistake, or rule violation from evolving into an accident? What system changes might have offset, or prevented, the active error from contributing to the sequence of events culminating in injury? Brief descriptions of eight cases of apparent medical accidents are provided in this article. For three of these cases, the failure analysis approach is used to identify the sequence of events contributing to the patient injury; identify events within this sequence that represent active errors; and identify points within this sequence that represent system faults which failed to prevent the occurrence of subsequent events. CONCLUSIONS: Within the framework of current methods of hospital quality appraisal, attribution of patient injury historically has focused on clinician error. Yet unless detected and corrected, system faults persist and create circumstances of "accidents waiting to happen." Understanding of casual factors in the evolution of medical accidents can be usefully applied toward improvement in the quality of hospital appraisal of iatrogenic injuries and, through that application, toward reduction in the rates of adverse outcomes.

Applications of physician profiling in the management of primary care panels.

A primary care panel is a conceptual and institutional unit, in managed care organizations, that holds an individual primary care physician or a team of primary care physicians accountable for the care of a defined population of enrollees. A persistent question in ambulatory care management is how to align, across a set of primary care panels, the distribution of demand for primary care physician time with the distribution of supply of primary care physician time. Part of the solution to this resource allocation decision requires measurement of primary care panel case mix (a principal influence on demand); and, part of the solution requires measurement of physician practice (an influence on both demand and supply). The goals of this article are several, among them, to outline the reasons research and development in this area are important for the successful functioning of a primary care panel system, and to illustrate how methods of physician profiling may be usefully applied toward evaluating and implementing solutions to the alignment of demand for, and supply of, primary care physician time.

Patient case mix measurement using outpatient drug dispense data.

This article outlines issues concerned with the development of case mix measurement using outpatient drug dispense databases, particularly as this method is being explored at Kaiser Permanente. Development is oriented to a population-based measure that emphasizes identification of major chronic diseases, such as diabetes, heart disease, hypertension, and asthma. Examples illustrate potential applications in the areas of utilization management and resource allocation. Questions concerning the integrity of this method--that is, how reliably the method represents population morbidity--are addressed.

Standards for peer evaluation: the hospital quality assurance committee.

Required recertification of physicians has been proposed as a way to improve quality of care. Hospital medical staff quality assurance committees may be more meaningful targets for reform than individual physicians. Review standards are needed to make these committees effective monitors. Increasing regulatory attention to medical staff peer review can be expected.