Midge N. Ray

Health and Happiness among Older Adults: A Community-based Study

The relationship between health and happiness was explored using a cross-sectional survey of 383 community-dwelling older adults. As a function of self-reported health, median happiness was increasing at a decreasing rate; happiness variability was decreasing at a decreasing rate. In multivariable logistic regression, lowest-quartile happiness was associated with poverty, unfavorable subjective health, debilitating pain and urinary incontinence, but not with the comorbidity count or other comorbidities. The results, robust to common method bias, suggest that subjective health measures are better predictors of happiness than objective measures are, except for conditions that disrupt daily functioning or are associated with social stigma.

Pathologic fractures: should these be included in epidemiologic studies of osteoporotic fractures?

SummaryPathologic fractures are often excluded in epidemiologic studies of osteoporosis. Using Medicare administrative data, we identified persons with vertebral and hip fractures. Among these, 48% (vertebral) and 3% (hip) of the fractures were coded as pathologic. Only 25% and 66% of persons with these pathologic fractures had evidence for malignancy.IntroductionAnalyses of osteoporosis-related fractures that use administrative data often exclude pathologic fractures (ICD-9 733.1x) due to concern that these are caused by cancer. We examined “pathologic” fractures of the vertebrae and hip to evaluate their contribution to fracture incidence and assessed the evidence for a malignancy.MethodsWe studied US Medicare beneficiaries age ≥65 with new fractures identified using ICD-9 diagnosis codes 733.13 (pathologic vert), 805.0, 805.2, 805.4, 805.8 (nonpathologic vert); and 733.14 (pathologic hip), 820.0, 820.2, 820.8 (nonpathologic hip). We further examined the proportion of cases with a diagnosis of a malignancy proximate to the fracture.ResultsWe identified 44,120 individuals with a vertebral fracture and 60,354 with a hip fracture. Approximately 48% of vertebral fractures and 3% of hip fractures were coded as pathologic. For only approximately 25% of persons with a “pathologic” vertebral fracture ICD-9 code, but 66% of persons with a “pathologic” hip fracture, there was evidence of a possible cancer diagnosis.ConclusionAmong US Medicare beneficiaries, one fourth of pathologic vertebral fracture and two thirds of pathologic hip fracture cases had evidence for a malignancy. Particularly for vertebral fractures, excluding persons with pathologic fractures in epidemiologic analyses that utilize administrative claims data substantially underestimates the burden of fractures due to osteoporosis.

Development of an Interactive, Web-Delivered System to Increase Provider–Patient Engagement in Smoking Cessation

Background Patient self-management interventions for smoking cessation are effective but underused. Health care providers do not routinely refer smokers to these interventions. Objective The objective of our study was to uncover barriers and facilitators to the use of an e-referral system that will be evaluated in a community-based randomized trial. The e-referral system will allow providers to refer smokers to an online smoking intervention during routine clinical care. Methods We devised a four-step development and pilot testing process: (1) system conceptualization using Delphi to identify key functionalities that would overcome barriers in provider referrals for smoking cessation, (2) Web system programming using agile software development and best programming practices with usability refinement using think-aloud testing, (3) implementation planning using the nominal group technique for the effective integration of the system into the workflow of practices, and (4) pilot testing to identify practice recruitment and system-use barriers in real-world settings. Results Our Delphi process (step 1) conceptualized three key e-referral functions: (1) Refer Your Smokers, allowing providers to e-refer patients at the point of care by entering their emails directly into the system, (2) practice reports, providing feedback regarding referrals and impact of smoking-cessation counseling, and (3) secure messaging, facilitating provider–patient communication. Usability testing (step 2) suggested the system was easy to use, but implementation planning (step 3) suggested several important approaches to encourage use (eg, proactive email cues to encourage practices to participate). Pilot testing (step 4) in 5 practices had limited success, with only 2 patients referred; we uncovered important recruitment and system-use barriers (eg, lack of study champion, training, and motivation, registration difficulties, and forgetting to refer). Conclusions Implementing a system to be used in a clinical setting is complex, as several issues can affect system use. In our ongoing large randomized trial, preliminary analysis with the first 50 practices using the system for 3 months demonstrated that our rigorous preimplementation evaluation helped us successfully identify and overcome these barriers before the main trial. Trial Clinicaltrials.gov NCT00797628; http://clinicaltrials.gov/ct2/show/NCT00797628 (Archived by WebCite at http://www.webcitation.org/61feCfjCy)

Internet delivered support for tobacco control in dental practice: randomized controlled trial

Background The dental visit is a unique opportunity for tobacco control. Despite evidence of effectiveness in dental settings, brief provider-delivered cessation advice is underutilized. Objective To evaluate an Internet-delivered intervention designed to increase implementation of brief provider advice for tobacco cessation in dental practice settings. Methods Dental practices (N = 190) were randomized to the intervention website or wait-list control. Pre-intervention and after 8 months of follow-up, each practice distributed exit cards (brief patient surveys assessing provider performance, completed immediately after the dental visit) to 100 patients. Based on these exit cards, we assessed: whether patients were asked about tobacco use (ASK) and, among tobacco users, whether they were advised to quit tobacco (ADVISE). All intervention practices with follow-up exit card data were analyzed as randomized regardless of whether they participated in the Internet-delivered intervention. Results Of the 190 practices randomized, 143 (75%) dental practices provided follow-up data. Intervention practices’ mean performance improved post-intervention by 4% on ASK (29% baseline, adjusted odds ratio = 1.29 [95% CI 1.17-1.42]), and by 11% on ADVISE (44% baseline, OR = 1.55 [95% CI 1.28-1.87]). Control practices improved by 3% on ASK (Adj. OR 1.18 [95% CI 1.07-1.29]) and did not significantly improve in ADVISE. A significant group-by-time interaction effect indicated that intervention practices improved more over the study period than control practices for ADVISE (P = 0.042) but not for ASK. Conclusion This low-intensity, easily disseminated intervention was successful in improving provider performance on advice to quit. Trial Registration clinicaltrials.gov NCT00627185; http://clinicaltrials.gov/ct2/show/NCT00627185 (Archived by WebCite at http://www.webcitation.org/5c5Kugvzj)

Improving Physician Performance Through Internet-Based Interventions: Who Will Participate?

Background The availability of Internet-based continuing medical education is rapidly increasing, but little is known about recruitment of physicians to these interventions. Objective The purpose of this study was to examine predictors of physician participation in an Internet intervention designed to increase screening of young women at risk for chlamydiosis. Methods Eligibility was based on administrative claims data, and eligible physicians received recruitment letters via fax and/or courier. Recruited offices had at least one physician who agreed to participate in the study by providing an email address. After one physician from an office was recruited, intensive recruitment of that office ceased. Email messages reminded individual physicians to participate by logging on to the Internet site. Results Of the eligible offices, 325 (33.2%) were recruited, from which 207 physicians (52.8%) participated. Recruited versus nonrecruited offices had more eligible patients (mean number of eligible patients per office: 44.1 vs 33.6; P < .001), more eligible physicians (mean number of eligible physicians per office: 6.2 vs 4.1; P < .001), and fewer doctors of osteopathy (mean percent of eligible physicians per office who were doctors of osteopathy: 20.5% vs 26.4%; P = .02). Multivariable analysis revealed that the odds of recruiting at least one physician from an office were greater if the office had more eligible patients and more eligible physicians. More participating versus nonparticipating physicians were female (mean percent of female recruited physicians: 39.1% vs 27.0%; P = .01); fewer participating physicians were doctors of osteopathy (mean percent of recruited physicians who were doctors of osteopathy: 15.5% vs 23.9%; P = .04) or international medical graduates (mean percent of recruited physicians who were international graduates: 12.3% vs 23.8%; P = .003). Multivariable analysis revealed that the odds of a physician participating were greater if the physician was older than 55 years (OR = 2.31; 95% CI = 1.09–4.93) and was from an office with a higher Chlamydia screening rate in the upper tertile (OR = 2.26; 95% CI = 1.23–4.16). Conclusions Physician participation in an Internet continuing medical education intervention varied significantly by physician and office characteristics.

The Role of Health Literacy and Written Medicine Information in Nonsteroidal Antiinflammatory Drug Risk Awareness

Background: Despite widespread use of prescription nonsteroidal antiinflammatory drugs (NSAIDs), patients are commonly unaware of their risks. Pharmacies regularly distribute written medicine information (WMI) describing the risks and benefits of NSAID therapy at the time of dispensing. Objective: To clarify the relationship among common sociodemographic factors, education, health literacy, reading of WMI routinefy distributed at pharmacies, and NSAID risk awareness. Methods: Generalized linear latent and mixed models (GLLAMM) ordered logistic regression and confirmatory path analysis were used to evaluate multivariable relationships in a cross-sectional dataset of 382 patients in the second phase of the Alabama NSAID Patient Safety Study. Results: The majority of the analytical sample was female (72.0%) with 38.7% African American, 38.1% age 65 years or older, and 43.3% reporting at least some college education. Health literacy was positively associated with reading of WMI (p = 0.001) and NSAID risk awareness (p = 0.025), while age was negatively associated with reading WMI (p = 0.001) and NSAID risk awareness (p = 0.005). Medicaid/uninsured status was negatively associated with risk awareness (p = 0.013). Reading of WMI was not associated with NSAID risk awareness (p = 0.659). The final path model demonstrated excellent fit. Conclusions: The lack of relationship between reading of WMI and NSAID risk awareness questions the current strategy of distribution of patient-targeted print education materials at pharmacies. To maximize limited resources, future research should identify more effective strategies to deliver risk information to patients and ensure its retention, especially in high-risk groups such as the elderly, the indigent, and those with inadequate health literacy.

Closing the Feedback Loop: An Interactive Voice Response System to Provide Follow-up and Feedback in Primary Care Settings

In primary care settings, follow-up regarding the outcome of acute outpatient visits is largely absent. We sought to develop an automated interactive voice response system (IVRS) for patient follow-up with feedback to providers capable of interfacing with multiple pre-existing electronic medical records (EMRs). A system was designed to extract data from EMRs, integrate with the IVRS, call patients for follow-up, and provide a feedback report to providers. Challenges during the development process were analyzed and summarized. The components of the technological solution and details of its implementation are reported. Lessons learned include: (1) Modular utilization of system components is often needed to adapt to specific clinic workflow and patient population needs (2) Understanding the local telephony environment greatly impacts development and is critical to success, and (3) Ample time for development of the IVRS questionnaire (mapping all branching paths) and speech recognition tuning (sensitivity, use of barge-in tuning, use of “known voice”) is needed. With proper attention to design and development, modular follow-up and feedback systems can be integrated into existing EMR systems providing the benefits of IVRS follow-up to patients and providers across diverse practice settings.

Chlamydia screening of at-risk young women in managed health care: characteristics of top-performing primary care offices

Objectives: Despite effective approaches for managing chlamydial infection, asymptomatic disease remains highly prevalent. We linked administrative data with physician data from the American Medical Association physician survey to identify characteristics of primary care offices associated with best chlamydia screening practices. Study: Criteria from the National Committee for Quality Assurance provided chlamydia screening rates. We defined top-performing offices as those with rates in the top decile among 978 primary care offices from 26 states. Results: Offices screened an average of 16.2% of at-risk, young women, but top-performing offices screened 42.2%. Top-performing offices on average had more black physicians (12.5%, 5.1%, P = 0.001) and were more often located in zip code areas with median income less than

Patterns of Use of Handheld Clinical Decision Support Tools in the Clinical Setting

30,000 (22.6%, 5.5%, P = 0.001). Conclusions: Although chlamydia screening rates are alarmingly low overall, there is substantial variation across offices. Understanding predictors of better office performance may lead to effective interventions to promote screening.

Who Participates in Web-Assisted Tobacco Interventions? The Quit-Primo and National Dental Practice-Based Research Network Hi-Quit Studies

Objectives. To assess the patterns of use of handheld clinical decision support tools by internal medicine residents in clinical settings. Methods. Eighty-two internal medicine residents were given personal digital assistants (PDAs) containing a suite of clinical decision support (CDS) programs. A tracking program was used to prospectively track program use during the study period, and a follow-up survey regarding self-reported program use was administered after the study period. Patterns of program use from the tracking data were compared to the data from the self-report survey. Results. Sixty-eight residents were followed using the tracking data. Residents used an average of 1.81 CDS programs (SD: 1.57; range, 0—5) per month. Forty-nine residents completed the self-report survey. Residents reported using an average of 3.15 (SD: 1.61) and 3.92 (SD: 1.40) CDS programs during a typical clinic session and inpatient day, respectively. In both inpatient and outpatient settings and for both methods of assessing program use, 2 programs (Epocrates and MedCalc) were used more often than the other programs. No association was observed between age, gender, race, and PGY level with the use of handheld clinical decision support tools for either tracked or self-report data. The self-report data show higher estimates of CDS program use than the tracking data in the clinical setting. Conclusions. The data show that physicians prefer to use certain handheld CDS tools in clinical settings. Drug references and medical calculators have been consistently used more than clinical prediction rules and diagnostic systems. Self-report survey instruments may overestimate recorded use of CDS programs.