Terry C. Wall

Compliance With Vision-Screening Guidelines Among a National Sample of Pediatricians

OBJECTIVE The American Academy of Pediatrics (AAP) recommends vision screening from birth through adolescence, with visual acuity testing and binocular screening to begin at age 3 years. The 1996 AAP guidelines advised referral for visual acuity worse than 20/40 for children aged 3 to 5 years and worse than 20/30 for children aged 6 years and older. Our objective was to describe vision-screening and referral practices in a national sample of primary care pediatricians. METHODS We mailed a survey to a random sample of US pediatricians. Initial nonresponders were mailed up to 3 additional surveys. All mailings occurred between May and October 1998. Analyses focused on primary care pediatricians and consisted of descriptive statistics and regression analyses. The main outcome measure was compliance with 1996 AAP recommendations for vision screening. RESULTS Of the 1491 surveys mailed, 888 (60%) were returned, including 576 (65%) from primary care pediatricians. Vision-screening methods included visual acuity testing (92%), cover test (64%), red reflex test (95%), fundoscopic examinations (65%), and stereopsis testing (32%). Respondents routinely performed visual acuity testing at 3 years (37%), 4 years (79%), 5 years (91%), 6 years (80%), 7-12 years (82%), and 13-18 years (80%). Visual acuity thresholds for referring 3- and 4-year-olds were 20/40 (47%, 51%), 20/50 (36%, 32%), or worse than 20/50 (14%, 12%). The majority of pediatricians referred children aged 5 years and older at 20/40, although thresholds worse than 20/40 were reported commonly (18%-33%). Logistic regressions were done to identify factors associated with higher likelihood of performing specific screening tests. Although no factor was consistently associated with use of all screening tests, size of the practice was significant in several regression models. CONCLUSIONS Many pediatricians do not follow AAP guidelines for vision screening and referral, especially in younger children. Two thirds of pediatricians do not begin visual acuity testing at age 3 years as recommended, and about one fifth do not test until age 5 years. In addition, one fourth do not perform cover tests or stereopsis testing at any age.

Effect of maternal weight on postterm delivery.

Objective:Examine the effect of prepregnancy weight and maternal gestational weight gain on postterm delivery rates.Study Design:This was a retrospective cohort study of term, singleton births (N=375 003). We performed multivariable analyses of the association between postterm pregnancy and both prepregnancy body mass index (BMI) and maternal weight gain.Result:Prolonged or postterm delivery (41 or 42 weeks) was increasingly common with increasing prepregnancy weight (P<0.001) and increasing maternal weight gain (P<0.001). Underweight women were 10% less likely to deliver postterm than normal weight women who gain within the recommendations (adjusted odds ratio 0.90 (95% confidence interval 0.83, 0.97)). Overweight women who gain within or above recommendations were also at increased risk of a 41-week delivery. Finally, obese women were at increased risk of a 41-week delivery with increasing risk with increasing weight (below, within and above recommendations adjusted odds ratios 1.19, 1.21, and 1.27, respectively).Conclusion:Elevated prepregnancy weight and maternal weight gain both increase the risk of a postterm delivery. Although most women do not receive preconceptional care, restricting weight gain to the within the recommended range can reduce the risk of postterm pregnancy in normal, overweight and obese women.

Quantitative Pediatric Vision Screening in Primary Care Settings in Alabama

Purpose. Alabama Medicaid reimburses “objective” vision screening (VS), i.e., by acuity or similar quantitative method, and well child checks (WCCs) separately. We analyzed the frequency of each service obtained. Methods. Claims for WCC and VS provided between October 1, 2002 and September 30, 2003 for children aged 3 to 18 years, and summary data for all enrolled children, were obtained from Alabama Medicaid. We used univariate analysis followed by logistic regression to explore the potential influence of factors (patient age, provider type, and provider’s volume of WCCs) on the receipt of VS at pre-school ages. Results. Children receiving WCCs were 55% black, 40% white, and 5% other. Percentages of children with WCC claims were highest at 4 years (57%) and thereafter declined to 30% at 6 to 14 years and to <10% at 18 years. Nearly all VS (>98% at each age) occurred the same day as the WCC. Pediatricians provided 68% of all WCCs. Multivariate analysis, after adjusting for nesting of pre-school patients within provider, showed the odds ratios (ORs) of VS were increased by patient age (5 years vs. 3 years, OR = 3.57, p < 0.0001), nonphysician provider type (nonphysician vs. pediatrician, OR = 1.80, p = 0.0004) and high WCC volume (at or above vs. below the median number (n = 8) of WCC per provider per year (OR = 7.11, p < 0.0001)). Because VS rates were high when attendance to WCC visits was low, few enrolled children received VS at any age (6% at the age of 3, 13% at the age of 4, and a maximum of 20% at the age of 5). Conclusions. National efforts to reduce preventable vision loss from amblyopia are hampered because children are not available for screening and because providers miss many opportunities to screen vision at pre-school age. Efforts to improve VS should target pediatrician-led practices, because these serve greater numbers of children.

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.

Measuring resident physicians' performance of preventive care. Comparing chart review with patient survey

AbstractBACKGROUND: The Accreditation Council for Graduate Medical Education has suggested various methods for evaluation of practice-based learning and improvement competency, but data on implementation of these methods are limited. OBJECTIVE: To compare medical record review and patient surveys on evaluating physician performance in preventive services in an outpatient resident clinic. DESIGN: Within an ongoing quality improvement project, we collected baseline performance data on preventive services provided for patients at the University of Alabama at Birmingham (UAB) Internal Medicine Residents’ ambulatory clinic. PARTICIPANTS: Seventy internal medicine and medicine-pediatrics residents from the UAB Internal Medicine Residency program. MEASUREMENTS: Resident- and clinic-level comparisons of aggregated patient survey and chart documentation rates of (1) screening for smoking status, (2) advising smokers to quit, (3) cholesterol screening, (4) mammography screening, and (5) pneumonia vaccination. RESULTS: Six hundred and fifty-nine patient surveys and 761 charts were abstracted. At the clinic level, rates for screening of smoking status, recommending mammogram, and for cholesterol screening were similar (difference <5%) between the 2 methods. Higher rates for pneumonia vaccination (76% vs 67%) and advice to quit smoking (66% vs 52%) were seen on medical record review versus patient surveys. However, within-resident (N=70) comparison of 2 methods of estimating screening rates contained significant variability. The cost of medical record review was substantially higher (

Implementing Achievable Benchmarks in Preventive Health: A Controlled Trial in Residency Education

107 vs

Validity of pure-tone hearing screening at well-child visits.

17/physician). CONCLUSIONS: Medical record review and patient surveys provided similar rates for selected preventive health measures at the clinic level, with the exception of pneumonia vaccination and advising to quit smoking. A large variation among individual resident providers was noted.

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

Purpose To evaluate the Preventive Health Achievable Benchmarks Curriculum, a multifaceted improvement intervention that included an objective, practice-based performance evaluation of internal medicine and pediatric residents’ delivery of preventive services. Method The authors conducted a nonrandomized experiment of intervention versus control group residents with baseline and follow-up of performance audited for 2001-2004. All 130 internal medicine and 78 pediatric residents at two continuity clinics at the University of Alabama School of Medicine, Birmingham, participated. Performance of preventive care was assessed by structured chart review. The multifaceted feedback curriculum included individualized performance feedback, academic detailing by faculty, and collective didactic sessions. The main outcome was difference in receipt of preventive care for patients seen by intervention and control residents, comparing baseline and follow-up. Results Charts were reviewed for 3,958 patients. Receipt of preventive care increased for patients of intervention residents, but not for patients of control residents. For the intervention group, significant increases occurred for five of six indicators in internal medicine: smoking screening, quit smoking advice, colon cancer screening, pneumonia vaccine, and lipid screening; and four of six in pediatrics: parental quit smoking advice, car seats, car restraints, and eye alignment (p < .05 for all). For control residents, no consistent improvements were seen. There was greater improvement for intervention than for control residents for four of six indicators in internal medicine, and two of six in pediatrics. Conclusions Using a multifaceted feedback curriculum, the authors taught residents about the care they provide and improved documented patient care.

Differences in preventive health quality by residency year. Is seniority better

OBJECTIVE To estimate the sensitivity and specificity of pure-tone audiometry hearing screening in the primary care setting. DESIGN Prospective cohort study. SETTING Eight academic and private pediatric practices. PARTICIPANTS A subset of children from a convenience sample of 1061 children between 3 and 19 years of age were screened for hearing loss using pure-tone audiometry. Intervention Formal audiologic evaluations (gold standard) for those children referred by their primary care physician (28 children) and for a random sample of children not referred (102 children). Main Exposure Pure-tone audiometry screening. MAIN OUTCOME MEASURES Audiologic evaluations. RESULTS A total of 28 children were referred to an audiologist for formal hearing testing after pure-tone audiometry screening during a well-child visit, at which 25 children did not pass the initial screening and 3 could not complete the screening. Of the 25 children, only 7 were evaluated by an audiologist, for a follow-up rate of 25%. One child was diagnosed as having hearing loss. Formal audiologic assessment was also performed on a random sample of 102 children who were not referred to the audiologist. For the random sample, hearing loss was identified in 2 of 76 (3%) children who passed and 1 of 16 (6%) children who did not pass pure tone audiometry screening. The sensitivity and specificity of pure-tone audiometry were 50% and 78%, respectively. CONCLUSION In light of the increasing burden on physicians to provide preventive care, this study calls into question the value of hearing screening using pure-tone audiometry during well-child visits given the lack of follow-up after referral and the poor sensitivity.

Knowledge, attitudes, and environment: what primary care providers say about pre-school vision screening.

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