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The role of the telephone in medical practice is important, but often problematic. Mistakes in telephone diagnosis and triage can have severe consequences. An effective office system can reduce liability risks, and in some cases telephone contact can substitute for office visits. Internists feel unprepared to provide telephone care. Therefore, residency education needs to focus on documentation, consultant availability, and performance feedback. Research should focus on improving outcomes, reimbursement issues, and technologic advances. This article describes internists' telephone interactions with ambulatory patients, preparation for telephone medicine, and aspects of office telephone systems and makes comparisons with other primary care fields. [ABSTRACT FROM AUTHOR]

Objective: To determine health utility scores for specific debilitated health states and to identify whether race or other demographic differences predict significant variation in these utility scores.Design: Utility analysis.Setting: A community hospital general internal medicine clinic, a private internal medicine practice, and a private pulmonary medicine practice.Participants: Sixty-four consecutive patients aged 50 to 75 years awaiting appointments. In order to participate, patients at the pulmonary clinic had to meet prespecified criteria of breathing impairment.Measurements: Individuals' strength of preference concerning specific states of limited physical function as measured by the standard gamble technique.Main Results: Mean utility scores used to quantitate limitations in physical function were extremely low. Using a scale for which 0 represented death and 1.0 represented normal health, limitation in activities of daily living was rated 0. 19 (95% confidence interval [CI] 0.13, 0.25), tolerance of only bed-to-chair ambulation 0.17 (95% CI 0.11, 0.23), and permanent nursing home placement 0.16 (95% CI 0.10, 0.22). Bivariate analysis identified female gender and African-American race as predictors of higher utility scores ( p Conclusion: Comparisons of African-American values with those of whites concerning defined states of debility demonstrate greater than threefold increases in utility scores. This finding suggests that racial differences need to be taken into account when studying the effects of medical interventions on quality of life. [ABSTRACT FROM AUTHOR]

Background: This study estimates reductions in 10-year atherosclerotic cardiovascular disease (ASCVD) risk associated with EvidenceNOW, a multi-state initiative that sought to improve cardiovascular preventive care in the form of (A)spirin prescribing for high-risk patients, (B)lood pressure control for people with hypertension, (C)holesterol management, and (S)moking screening and cessation counseling (ABCS) among small primary care practices by providing supportive interventions such as practice facilitation., Design: We conducted an analytic modeling study that combined (1) data from 1,278 EvidenceNOW practices collected 2015 to 2017; (2) patient-level information of individuals ages 40 to 79 years who participated in the 2015 to 2016 National Health and Nutrition Examination Survey ( n = 1,295); and (3) 10-year ASCVD risk prediction equations., Measures: The primary outcome measure was 10-year ASCVD risk., Results: EvidenceNOW practices cared for an estimated 4 million patients ages 40 to 79 who might benefit from ABCS interventions. The average 10-year ASCVD risk of these patients before intervention was 10.11%. Improvements in ABCS due to EvidenceNOW reduced their 10-year ASCVD risk to 10.03% (absolute risk reduction: -0.08, P ≤ .001 ). This risk reduction would prevent 3,169 ASCVD events over 10 years and avoid $150 million in 90-day direct medical costs., Conclusion: Small preventive care improvements and associated reductions in absolute ASCVD risk levels can lead to meaningful life-saving benefits at the population level., Competing Interests: Conflict of interest: The authors have no conflicts of interest to declare., (© Copyright by the American Board of Family Medicine.)

Purpose: This paper aims to characterize the use of demographic data in multiple-choice questions from a commercial preclinical question bank and determine if there is appropriate use of different distractors., Background: Multiple-choice questions for medical students often include vignettes describing a patient's presentation to help guide students to a diagnosis, but overall patterns of usage between different types of nonmedical patient information in question stems have yet to be determined., Methods: Three hundred eighty of 453 randomly selected questions were included for analysis after determining they contained a clinical vignette and required a diagnosis. The vignettes and following explanations were then examined for the presence/absence of 11 types of demographic information, including age, sex/gender, and socioeconomic status. We compared both the usage frequency and relevance between the 11 information types., Results: Most information types were present in less than 10% of clinical vignettes, but age and sex/gender were present in over 95% of question stems. Over 50% of questions included irrelevant information about age and sex/gender, but 75% of questions did not include any irrelevant information of other types. Patient weight and environmental exposures were significantly more likely to be relevant than age or sex/gender., Discussion: Students using the questions in this study will frequently gain practice incorporating age and sex/gender into their clinical reasoning while receiving little exposure to other demographic information. Based on our findings, we posit that questions could include more irrelevant information, outside age and sex/gender, to better approximate real clinical scenarios and ensure students do not overvalue certain demographic data., Supplementary Information: The online version contains supplementary material available at 10.1007/s40670-023-01778-z., Competing Interests: Conflict of InterestThe authors declare no competing interests., (© The Author(s) under exclusive licence to International Association of Medical Science Educators 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.)

Purpose: Despite the growing popularity of stepped-wedge cluster randomized trials (SW-CRTs) for practice-based research, the design's advantages and challenges are not well documented. The objective of this study was to identify the advantages and challenges of the SW-CRT design for large-scale intervention implementations in primary care settings., Methods: The EvidenceNOW: Advancing Heart Health initiative, funded by the Agency for Healthcare Research and Quality, included a large collection of SW-CRTs. We conducted qualitative interviews with 17 key informants from EvidenceNOW grantees to identify the advantages and challenges of using SW-CRT design., Results: All interviewees reported that SW-CRT can be an effective study design for large-scale intervention implementations. Advantages included (1) incentivized recruitment, (2) staggered resource allocation, and (3) statistical power. Challenges included (1) time-sensitive recruitment, (2) retention, (3) randomization requirements and practice preferences, (4) achieving treatment schedule fidelity, (5) intensive data collection, (6) the Hawthorne effect, and (7) temporal trends., Conclusions: The challenges experienced by EvidenceNOW grantees suggest that certain favorable real-world conditions constitute a context that increases the odds of a successful SW-CRT. An existing infrastructure can support the recruitment of many practices. Strong retention plans are needed to continue to engage sites waiting to start the intervention. Finally, study outcomes should be ones already captured in routine practice; otherwise, funders and investigators should assess the feasibility and cost of data collection. VISUAL ABSTRACT ., (© 2022 Annals of Family Medicine, Inc.)

Background: Electronic clinical quality measures (eCQMs) from electronic health records (EHRs) are a key component of quality improvement (QI) initiatives in small-to-medium size primary care practices, but using eCQMs for QI can be challenging. Organizational strategies are needed to effectively operationalize eCQMs for QI in these practice settings., Objective: This study aimed to characterize strategies that seven regional cooperatives participating in the EvidenceNOW initiative developed to generate and report EHR-based eCQMs for QI in small-to-medium size practices., Methods: A qualitative study comprised of 17 interviews with representatives from all seven EvidenceNOW cooperatives was conducted. Interviewees included administrators were with both strategic and cooperative-level operational responsibilities and external practice facilitators were with hands-on experience helping practices use EHRs and eCQMs. A subteam conducted 1-hour semistructured telephone interviews with administrators and practice facilitators, then analyzed interview transcripts using immersion crystallization. The analysis and a conceptual model were vetted and approved by the larger group of coauthors., Results: Cooperative strategies consisted of efforts in four key domains. First, cooperative adaptation shaped overall strategies for calculating eCQMs whether using EHRs, a centralized source, or a "hybrid strategy" of the two. Second, the eCQM generation described how EHR data were extracted, validated, and reported for calculating eCQMs. Third, practice facilitation characterized how facilitators with backgrounds in health information technology (IT) delivered services and solutions for data capture and quality and practice support. Fourth, performance reporting strategies and tools informed QI efforts and how cooperatives could alter their approaches to eCQMs., Conclusion: Cooperatives ultimately generated and reported eCQMs using hybrid strategies because they determined neither EHRs alone nor centralized sources alone could operationalize eCQMs for QI. This required cooperatives to devise solutions and utilize resources that often are unavailable to typical small-to-medium-sized practices. The experiences from EvidenceNOW cooperatives provide insights into how organizations can plan for challenges and operationalize EHR-based eCQMs., Competing Interests: None declared., (Thieme. All rights reserved.)

Background Racial and ethnic disparities in outcomes following lower limb revascularization for peripheral artery disease have been ascribed to disease severity at presentation for surgery. Methods and Results We calculated 1-year risk of major adverse limb events (MALEs), major amputation, and death for patients undergoing elective revascularization for claudication or chronic limb-threatening ischemia in the Vascular Quality Initiative data (2011-2018). We report hazard ratios according to race and ethnicity using Cox (death) or Fine and Gray subdistribution hazards models (MALE and major amputation, treating death as a competing event), adjusted for patient, treatment, and anatomic factors associated with disease severity. Among 88 599 patients (age, 69 years; 37% women), 1-year risk of MALE (major amputation and death) was 12.8% (95% CI, 12.5-13.0) in 67 651 White patients, 16.5% (95% CI, 5.8-7.8) in 15 442 Black patients, and 17.2% (95% CI, 5.6-6.9) in 5506 Hispanic patients. Compared with White patients, we observed an increased hazard of poor limb outcomes among Black (MALE: 1.17; 95% CI, 1.12-1.22; amputation: 1.52; 95% CI, 1.39-1.65) and Hispanic (MALE: 1.22; 95% CI, 1.14-1.31; amputation: 1.45; 95% CI, 1.28-1.64) patients. However, Black and Hispanic patients had a hazard of death of 0.85 (95% CI, 0.79-0.91) and 0.71 (95% CI, 0.63-0.79) times the hazard among White patients, respectively. Worse limb outcomes were observed among Black and Hispanic patients across subcohorts of claudication and chronic limb-threatening ischemia. Conclusions Black and Hispanic patients undergoing infrainguinal revascularization for chronic limb-threatening ischemia and claudication had worse limb outcomes compared with White patients, even with similar disease severity at presentation. Additional investigation aimed at eliminating disparate limb outcomes is needed.

Background: Unhealthy alcohol use is a leading cause of preventable deaths in the USA and is associated with many societal and health problems. Less than a third of people who visit primary care providers in the USA are asked about or ever discuss alcohol use with a health professional., Methods/design: This study is an adaptive, randomized, controlled trial to evaluate the effect of primary care practice facilitation and telehealth services on evidence-based screening, counseling, and pharmacotherapy for unhealthy alcohol use in small-to-medium-sized primary care practices. Study participants will include primary care practices in North Carolina with 10 or fewer providers. All enrolled practices will receive a practice facilitation intervention that includes quality improvement (QI) coaching, electronic health record (EHR) support, training, and expert consultation. After 6 months, practices in the lower 50th percentile (based on performance) will be randomized to continued practice facilitation or provision of telehealth services plus ongoing facilitation for the next 6 months. Practices in the upper 50th percentile after the initial 6 months of intervention will continue to receive practice facilitation alone. The main outcome measures include the number (and %) of patients in the target population who are screened for unhealthy alcohol use, screen positive, and receive brief counseling. Additional measures include the number (and %) of patients who receive pharmacotherapy for AUD or are referred for AUD services. Sample size calculations determined that 35 practices are needed to detect a 10% increase in the main outcome (percent screened for unhealthy alcohol use) over 6 months., Discussion: A successful intervention would significantly reduce morbidity among adults from unhealthy alcohol use by increasing counseling and other treatment opportunities. The study will produce important evidence about the effect of practice facilitation on uptake of evidence-based screening, counseling, and pharmacotherapy for unhealthy alcohol use when delivered on a large scale to small and medium-sized practices. It will also generate scientific knowledge about whether embedded telehealth services can improve the use of evidence-based screening and interventions for practices with slower uptake. The results of this rigorously conducted evaluation are expected to have a positive impact by accelerating the dissemination and implementation of evidence related to unhealthy alcohol use into primary care practices., Trial Registration: ClinicalTrials.gov NCT04317989 . Registered on March 23, 2020., (© 2021. The Author(s).)

Background: There is no commonly accepted comprehensive framework for describing the practical specifics of external support for practice change. Our goal was to develop such a taxonomy that could be used by both external groups or researchers and health care leaders., Methods: The leaders of 8 grants from Agency for Research and Quality for the EvidenceNOW study of improving cardiovascular preventive services in over 1500 primary care practices nationwide worked collaboratively over 18 months to develop descriptions of key domains that might comprehensively characterize any external support intervention. Combining literature reviews with our practical experiences in this initiative and past work, we aimed to define these domains and recommend measures for them., Results: The taxonomy includes 1 domain to specify the conceptual model(s) on which an intervention is built and another to specify the types of support strategies used. Another 5 domains provide specifics about the dose/mode of that support, the types of change process and care process changes that are encouraged, and the degree to which the strategies are prescriptive and standardized. A model was created to illustrate how the domains fit together and how they would respond to practice needs and reactions., Conclusions: This taxonomy and its use in more consistently documenting and characterizing external support interventions should facilitate communication and synergies between 3 areas (quality improvement, practice change research, and implementation science) that have historically tended to work independently. The taxonomy was designed to be as useful for practices or health systems managing change as it is for research., Competing Interests: Conflict of interest: None., (© Copyright 2021 by the American Board of Family Medicine.)

Background: Practice facilitation is a promising strategy to enhance care processes and outcomes in primary care settings. It requires that practices and their facilitators engage as teams to drive improvement. In this analysis, we explored the practice and facilitator factors associated with greater team engagement at the mid-point of a 12-month practice facilitation intervention focused on implementing cardiovascular prevention activities in practice. Understanding factors associated with greater engagement with facilitators in practice-based quality improvement can assist practice facilitation programs with planning and resource allocation., Methods: One hundred thirty-six ambulatory care small to medium sized primary care practices that participated in the EvidenceNow initiative's NC Cooperative, named Heart Health Now (HHN), fit the eligibility criteria for this analysis. We explored the practice and facilitator factors associated with greater team engagement at the mid-point of a 12-month intervention using a retrospective cohort design that included baseline survey data, monthly practice activity implementation data and information about facilitator's experience. Generalized linear mixed-effects models (GLMMs) identified variables associated with greater odds of team engagement using an ordinal scale for level of team engagement., Results: Among our practice cohort, over half were clinician-owned and 27% were Federally Qualified Health Centers. The mean number of clinicians was 4.9 (SD 4.2) and approximately 40% of practices were in Medically Underserved Areas (MUA). GLMMs identified a best fit model. The Model presented as odd ratios and 95% confidence intervals suggests greater odds ratios of higher team engagement with greater practice QI leadership 17.31 (5.24-57.19), [0.00], and practice location in a MUA 7.25 (1.8-29.20), [0.005]. No facilitator characteristics were independently associated with greater engagement., Conclusions: Our analysis provides information for practice facilitation stakeholders to consider when considering which practices may be more amendable to embracing facilitation services.

Background: Community Health Workers (CHW) are recommended for delivery of interventions to prevent cardiovascular disease, but there is insufficient evidence to guide implementation of CHW interventions in rural, medically underserved areas., Methods: Using a hybrid implementation-effectiveness design, we evaluated the implementation and effectiveness of an adapted, evidence-based cardiovascular disease risk reduction intervention among rural high-risk adults. CHWs at a community health center and local health department recruited, enrolled and counseled participants during 4 monthly home visits and 3 brief phone contacts. Participant data collection included pre- and post-intervention measurements of blood pressure, weight, and dietary and physical activity behaviors. We evaluated implementation with measures of intervention reach and delivery fidelity. Statistical analyses included descriptive statistics and paired t-tests., Results: Study participants (n = 105) had a mean age of 62 years and included 88% Non-Hispanic Blacks and 82% females. Recruitment strategies resulted in the enrollment of 38% of interested and eligible participants who received 80% of the planned intervention visits and phone contacts. Mean differences in pre-/post-intervention measures showed significant mean reductions in blood pressure (- 5.4 mmHg systolic, p = .006; - 2.3 mmHg diastolic, p = .04) and body weight (- 3.8 lb., p = .02). Self-reported dietary and physical activity behaviors also improved significantly., Conclusion: This feasibility study demonstrated preliminary implementation and program effectiveness of a CHW-delivered intervention to reduce cardiovascular disease risk factors. Additionally, it identified areas for future refinements to strategies that strengthen community-clinical linkages with an integrated role of CHWs in rural health care delivery. If results from this feasibility study can be enhanced in a larger sample, there would be significant potential to positively impact the excess burden of chronic diseases that adversely impact rural, low-income, and medically underserved populations., Trial Registration: ClinicalTrials.gov: NCT03582696.

Objective: We aimed to investigate bias in applying machine learning to predict real-world individual treatment effects., Materials and Methods: Using a virtual patient cohort, we simulated real-world healthcare data and applied random forest and gradient boosting classifiers to develop prediction models. Treatment effect was estimated as the difference between the predicted outcomes of a treatment and a control. We evaluated the impact of predictors (ie, treatment predictors [X1], confounders [X2], treatment effects modifiers [X3], and other outcome risk factors [X4]) with known effects on treatment and outcome using real-world data, and outcome imbalance on predicting individual outcome. Using counterfactuals, we evaluated percentage of patients with biased predicted individual treatment effects., Results: The X4 had relatively more impact on model performance than X2 and X3 did. No effects were observed from X1. Moderate-to-severe outcome imbalance had a significantly negative impact on model performance, particularly among subgroups in which an outcome occurred. Bias in predicting individual treatment effects was significant and persisted even when the models had a 100% accuracy in predicting health outcome., Discussion: Inadequate inclusion of the X2, X3, and X4 and moderate-to-severe outcome imbalance may affect model performance in predicting individual outcome and subsequently bias in predicting individual treatment effects. Machine learning models with all features and high performance for predicting individual outcome still yielded biased individual treatment effects., Conclusions: Direct application of machine learning might not adequately address bias in predicting individual treatment effects. Further method development is needed to advance machine learning to support individualized treatment selection., (© The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.)

Background: Advances in early diagnosis and curative treatment have reduced high mortality rates associated with non-small cell lung cancer. However, racial disparity in survival persists partly because Black patients receive less curative treatment than White patients., Methods: We performed a 5-year pragmatic, trial at five cancer centers using a system-based intervention. Patients diagnosed with early stage lung cancer, aged 18-85 were eligible. Intervention components included: (1) a real-time warning system derived from electronic health records, (2) race-specific feedback to clinical teams on treatment completion rates, and (3) a nurse navigator. Consented patients were compared to retrospective and concurrent controls. The primary outcome was receipt of curative treatment., Results: There were 2841 early stage lung cancer patients (16% Black) in the retrospective group and 360 (32% Black) in the intervention group. For the retrospective baseline, crude treatment rates were 78% for White patients vs 69% for Black patients (P < 0.001); difference by race was confirmed by a model adjusted for age, treatment site, cancer stage, gender, comorbid illness, and income-odds ratio (OR) 0.66 for Black patients (95% CI 0.51-0.85, P = 0.001). Within the intervention cohort, the crude rate was 96.5% for Black vs 95% for White patients (P = 0.56). Odds ratio for the adjusted analysis was 2.1 (95% CI 0.41-10.4, P = 0.39) for Black vs White patients. Between group analyses confirmed treatment parity for the intervention., Conclusion: A system-based intervention tested in five cancer centers reduced racial gaps and improved care for all., (© 2019 The Authors. Cancer Medicine published by John Wiley & Sons Ltd.)

Objective: Large practice networks have access to EHR data that can be used to drive important improvements in population health. However, missing data often limit improvement efforts. Our goal was to determine the proportion of patients in a cohort of small primary care practices who lacked cholesterol data to calculate ASCVD risk scores and then gauge the extent that imputation can accurately identify individuals already at high risk. 219 practices enrolled. Patients between the ages of 40 and 79 years qualified for risk calculation. For patients who lacked cholesterol data, we measured the effect of employing a conservative estimation strategy using a total cholesterol of 170 mg/dl and HDL-cholesterol of 50 mg/dl in the ASCVD risk equation to identify patients with ≥ 10%, 10-year ASCVD risk who were eligible for risk reduction interventions then compared this to a rigorous formal imputation methodology. 345 440 patients, average age 58 years, qualified for risk scores. 108 515 patients were missing cholesterol information. Using the "good value" estimation methodology, 40 565 had risk scores ≥ 10% compared to 43 205 using formal imputation. However, the latter strategy yielded a lower specificity and higher false positive rate. Estimates using either strategy achieved ASCVD risk stratification quickly and accurately identified high risk patients who could benefit from intervention.

Purpose: Our purpose was to assess whether a practice's adaptive reserve and high leadership capability in quality improvement are associated with population blood pressure control., Methods: We divided practices into quartiles of blood pressure control performance and considered the top quartile as the benchmark for comparison. Using abstracted clinical data from electronic health records, we performed a cross-sectional study to assess the association of top quartile hypertension control and (1) the baseline practice adaptive reserve (PAR) scores and (2) baseline practice leadership scores, using modified Poisson regression models adjusting for practice-level characteristics., Results: Among 181 practices, 46 were in the top quartile, which averaged 68% or better blood pressure control. Practices with higher PAR scores compared with lower PAR scores were not more likely to reside in the top quartile of performance (prevalence ratio [PR] = 1.92 for highest quartile; 95% CI, 0.9-4.1). Similarly, high quality improvement leadership capability compared with lower capability did not predict better blood pressure control performance (PR = 0.94; 95% CI, 0.57-1.56). Practices with higher proportions of commercially insured patients were more likely than practices with lower proportions of commercially insured patients to have top quartile performance (37% vs 26%, P =.002), whereas lower proportions of the uninsured (8% vs 14%, P =.055) were associated with better performance., Conclusions: Our findings show that adaptive reserve and leadership capability in quality improvement implementation are not statistically associated with achieving top quartile practice-level hypertension control at baseline in the Heart Health NOW project. Our findings, however, may be limited by a lack of patient-related factors and small sample size to preclude strong conclusions., Competing Interests: Conflicts of interest: authors report none., (© 2018 Annals of Family Medicine, Inc.)

Background: The objective of Heart Health NOW (HHN) is to determine if primary care practice support-a comprehensive evidence-based quality improvement strategy involving practice facilitation, academic detailing, technology support, and regional learning collaboratives-accelerates widespread dissemination and implementation of evidence-based guidelines for cardiovascular disease (CVD) prevention in small- to medium-sized primary care practices and, additionally, increases practices' capacity to incorporate other evidence-based clinical guidelines in the future., Methods/design: HHN is a stepped wedge, stratified, cluster randomized trial to evaluate the effect of primary care practice support on evidence-based CVD prevention, organizational change process measures, and patient outcomes. Each practice will start the trial as a control, receive the intervention at a randomized time point, and then enter a maintenance period 12 months after the start of the intervention. The intervention will be randomized to practices in one of four strata defined by region of the state (east or west) and degree of practice readiness for change. Seventy-five practices in each region with a high degree of readiness will be randomized 1:1:1 in blocks of 3 sometime prior to month 8 to receive the intervention at month 9, 11, or 12. An additional 75 practices within each region that have a low degree of readiness or are recruited later will be randomized 1:1 in blocks of 2 prior to month 13 to receive the intervention at month 14 or 16. The sites will be ordered within each strata based on time of enrollment with the blocking based on this ordering. Evaluation will examine the effect of primary care practice support on (1) practice-level delivery of evidence-based CVD prevention, (2) patient-level health outcomes, (3) practice-level implementation of clinical and organizational changes that support delivery of evidence-based CVD prevention, and (4) practice-level capacity to implement future evidence-based clinical guidelines., Discussion: Results will indicate whether primary care practice support is an effective strategy for widespread dissemination and implementation of evidence-based clinical guidelines in primary care practices. Discernible reductions in cardiovascular risk in 300 practices covering over an estimated 900,000 adult patients would likely lead to prevention of thousands of cardiovascular events within 10 years., Trial Registration: ClinicalTrials.gov NCT02585557.

Objective: To evaluate the association between electronic health record (EHR) satisfaction and job satisfaction in primary care physicians (PCPs)., Method: Cross-sectional survey of PCPs at 825 primary care practices in North Carolina., Results: Surveys were returned from 283 individuals across 214 practices (26% response rate for practices), of whom 122 were physicians with EHRs and no missing information. We found that for each point increase in EHR satisfaction, job satisfaction increased by ∼0.36 points both in an unadjusted and an adjusted model (β 0.359 unadjusted, 0.361 adjusted; p < 0.001 for both models)., Conclusion: We found that EHR satisfaction was associated with job satisfaction in a cross-sectional survey of PCPs. Our conclusions are limited by suboptimum survey response rate, but if confirmed may have substantial implications for how EHR vendors develop their product to support the needs of PCPs.

Objective: To examine the effects of a community-based intervention on decisions about prostate-specific antigen (PSA) screening using multiple measures of informed decision making (IDM)., Data Sources/study Setting: Nonequivalent control group time series design collecting primary data in late 2004 and 2005., Study Design: We developed a multimodal intervention designed to convey the medical uncertainty about the benefits of PSA screening and early treatment and the limited predictive ability of both the PSA test and pathological specimens collected from prostate biopsy. We examined (1) patients' recognition that there is a decision to be made about PSA screening, (2) prostate cancer knowledge levels, (3) their preferred and actual levels of participation in decision making about screening at three points in time, and (4) screening decision., Data Collection: Baseline data collection occurred in community-based organizations. These organizations served as recruiting sources and as sites for the intervention. We collected follow-up data by mail with telephone reminders., Principal Findings: Our intervention was associated with greater recognition of the PSA test as a decision to be made, levels of knowledge, both preferred and actual levels of involvement in decision making, but did not have an impact on the screening decision., Conclusions: Community-based interventions can influence key measures of IDM about PSA screening., (© Health Research and Educational Trust.)

Objectives: To describe the characteristics and attitudes toward complementary and alternative medicine (CAM) use among primary care patients with chronic pain disorders and to determine if CAM use is associated with better pain control., Design: Cross-sectional survey., Subjects: Four hundred sixty-three patients suffering from chronic, nonmalignant pain receiving primary care at 12 U.S. academic medical centers., Outcome Measure: Self-reported current CAM usage by patients with chronic pain disorders., Results: The survey had an 81% response rate. Fifty-two percent reported current use of CAM for relief of chronic pain. Of the patients that used CAM, 54% agreed that nontraditional remedies helped their pain and 14% indicated that their individual alternative remedy entirely relieved their pain. Vitamin and mineral supplements were the most frequently used CAM modalities. There was no association between reported use of CAM and pain severity, functional status, or perceived self-efficacy. Patients who reported having at least a high school education (odds ratio [OR] 1.1, 95% confidence interval [CI] 1.02-1.19, P = 0.016) and high levels of satisfaction with their health care (OR 1.47, 95% CI 1.13-1.91, P = 0.004) were significantly more likely to report using CAM., Conclusions: Complementary and alternative therapies were popular among patients with chronic pain disorders surveyed in academic primary care settings. When asked to choose between traditional therapies or CAM, most patients still preferred traditional therapies for pain relief. We found no association between reported CAM usage and pain severity, functional status, or self-efficacy.

Patients and physicians often disagree in their assessment of pain intensity. This study explores the impact of patient factors on underestimation of pain intensity in chronic noncancer pain. We surveyed patients and their physicians in 12 primary care centers. To measure pain intensity, patients completed an 11-point numeric rating scale for which pain scores range from 0 (no pain) to 10 (unbearable pain). Physicians rated patients' pain on the same scale. We defined disagreement of pain intensity as underestimation or overestimation by 22 points. Of 601 patients approached, 463 (77%) completed the survey. The majority of participants were black (39%) or white (47%), 67% were female, and the mean age was 53 years. Physicians underestimated pain intensity relative to their patients 39% of the time. Forty-six percent agreed with their patients' pain perception, and 15% of physicians overestimated their patients' pain levels by > or =2 points. In both the bivariate and multivariable models, black race was a significant variable associated with underestimation of pain by physicians (p < 0.05; OR = 1.92; 95% CI: 1.31-2.81). This study finds that physicians are twice as likely to underestimate pain in blacks patients compared to all other ethnicities combined. A qualitative study exploring why physicians rate blacks patients' pain low is warranted.

Background: Chronic pain is a frequent cause of suffering and disability that negatively affects patients' quality of life. There is growing evidence that disparities in the treatment of pain occur because of differences in race., Objective: To determine whether race plays a role in treatment decisions involving patients with chronic nonmalignant pain in a primary care population., Design, Setting, and Participants: A cross-sectional survey was administered to patients with chronic nonmalignant pain and their treating physicians at 12 academic medical centers. We enrolled 463 patients with nonmalignant pain persisting for more than 3 consecutive months and the primary care physicians participating in their care., Results: Analysis of the 397 black and white patients showed that blacks had significantly higher pain scores (6.7 on a scale of 0 to 10, 95% confidence interval (CI) 6.4 to 7.0) compared with whites (5.6, 95% CI 5.3 to 5.9); however, white patients were more likely to be taking opioid analgesics compared with blacks (45.7% vs 32.2%, P<.006). Even after controlling for potentially confounding variables, white patients were significantly more likely (odds ratio (OR) 2.67, 95% CI 1.71 to 4.15) to be taking opioid analgesics than black patients. There were no differences by race in the use of other treatment modalities such as physical therapy and nonsteroidal anti-inflammatories or in the use of specialty referral., Conclusion: Equal treatment by race occurs in nonopioid-related therapies, but white patients are more likely than black patients to be treated with opioids. Further studies are needed to better explain this racial difference and define its effect on patient outcomes.

Objective: To determine patient preferences for addressing religion and spirituality in the medical encounter., Design: Multicenter survey verbally administered by trained research assistants. Survey items included questions on demographics, health status, health care utilization, functional status, spiritual well-being, and patient preference for religious/spiritual involvement in their own medical encounters and in hypothetical medical situations., Setting: Primary care clinics of 6 academic medical centers in 3 states (NC, Fla, Vt)., Patients/participants: Patients 18 years of age and older who were systematically selected from the waiting rooms of their primary care physicians., Measurements and Main Results: Four hundred fifty-six patients participated in the study. One third of patients wanted to be asked about their religious beliefs during a routine office visit. Two thirds felt that physicians should be aware of their religious or spiritual beliefs. Patient agreement with physician spiritual interaction increased strongly with the severity of the illness setting, with 19% patient agreement with physician prayer in a routine office visit, 29% agreement in a hospitalized setting, and 50% agreement in a near-death scenario (P <.001). Patient interest in religious or spiritual interaction decreased when the intensity of the interaction moved from a simple discussion of spiritual issues (33% agree) to physician silent prayer (28% agree) to physician prayer with a patient (19% agree; P <.001). Ten percent of patients were willing to give up time spent on medical issues in an office visit setting to discuss religious/spiritual issues with their physician. After controlling for age, gender, marital status, education, spirituality score, and health care utilization, African-American subjects were more likely to accept this time trade-off (odds ratio, 4.9; confidence interval, 2.1 to 11.7)., Conclusion: Physicians should be aware that a substantial minority of patients desire spiritual interaction in routine office visits. When asked about specific prayer behaviors across a range of clinical scenarios, patient desire for spiritual interaction increased with increasing severity of illness setting and decreased when referring to more-intense spiritual interactions. For most patients, the routine office visit may not be the optimal setting for a physician-patient spiritual dialog.

The role of the telephone in medical practice is important, but often problematic. Mistakes in telephone diagnosis and triage can have severe consequences. An effective office system can reduce liability risks, and in some cases telephone contact can substitute for office visits. Internists feel unprepared to provide telephone care. Therefore, residency education needs to focus on documentation, consultant availability, and performance feedback. Research should focus on improving outcomes, reimbursement issues, and technologic advances. This article describes internists' telephone interactions with ambulatory patients, preparation for telephone medicine, and aspects of office telephone systems and makes comparisons with other primary care fields.

Objective: To determine health utility scores for specific debilitated health states and to identify whether race or other demographic differences predict significant variation in these utility scores., Design: Utility analysis., Setting: A community hospital general internal medicine clinic, a private internal medicine practice, and a private pulmonary medicine practice., Participants: Sixty-four consecutive patients aged 50 to 75 years awaiting appointments. In order to participate, patients at the pulmonary clinic had to meet prespecified criteria of breathing impairment., Measurements: Individuals' strength of preference concerning specific states of limited physical function as measured by the standard gamble technique., Main Results: Mean utility scores used to quantitate limitations in physical function were extremely low. Using a scale for which 0 represented death and 1.0 represented normal health, limitation in activities of daily living was rated 0. 19 (95% confidence interval [CI] 0.13, 0.25), tolerance of only bed-to-chair ambulation 0.17 (95% CI 0.11, 0.23), and permanent nursing home placement 0.16 (95% CI 0.10, 0.22). Bivariate analysis identified female gender and African-American race as predictors of higher utility scores ( p

Given the explosive expansion of capitated reimbursement for the services of primary care physicians, we conducted a national survey of a random sample of these practitioners to measure attitudes toward capitated payment and identify predictors of important attitudes. Descriptive, factor analytic, and regression techniques were used. The response rate was 54%. As measured by scales derived from factor analysis, perceptions were strong that capitation was costly to professional and patient relationships. Patients' access to care was perceived as slightly reduced. Actual participation in capitation attenuated feelings of lack of access but not those of capitation's costly effects. Physicians' attitudes toward capitation remain negative, but participants perceive their patients' access to appropriate care as reasonable.