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Biomedical subjects

Terry C Wall

Publications and source records attributed to Terry C Wall.

9 recordsLinked to original sources

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

BACKGROUND: 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 ($107 vs $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.

Accreditation↗

Hearing screening practices among a national sample of primary care pediatricians.

The objective of this study was to describe variations in hearing screening using a survey mailed to a national sample of primary care pediatricians prior to the 2003 American Academy of Pediatrics (AAP) hearing screening guidelines. Of the 390 primary care respondents, only 303 (78%) performed audiometry, routinely beginning at age 3 (32%), 4 (44%), or 5 (17%); 81% defined abnormal audiometry primarily as failure to hear at a specified decibel level: 15 dB hearing level (HL) (<1%), 16 to 20 dB HL (10%), 21 to 25 dB HL (23%), 26 to 30 dB HL (44%), 31 to 40 dB HL (16%), and more than 40 dB HL (6%). This study serves as a baseline for comparison with postguideline practices.

Adolescent↗

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.

Adult↗

Hearing screening at well-child visits.

OBJECTIVES: To determine hearing screening failure rates in primary care settings and to examine the referral practices in response to an abnormal screening test. METHODS: We enrolled a convenience sample of children between 3 and 19 years of age who were undergoing hearing screening during a well-child visit. A failure was defined as missing any frequency (1000, 2000, or 4000 Hz) in either ear at 20-dB hearing level. The pediatrician made the decision of whether to refer the patient for further evaluation. RESULTS: Three academic and 5 private practices enrolled 1061 children. Sixty-seven children (7%) were unable to complete the screening. Of the 948 children who completed the screen, a total of 852 children (90%) passed the screening and 96 children (10%) failed. After multivariable logistic regression analysis, the only statistically significant factor predictive of a failed screen was developmental delay (P = .02). Of the 96 children who failed the hearing screening, 57 (59%) had no further evaluation, 12 (13%) were rechecked, and 27 (28%) were referred. Similar percentages were seen with children who could not be screened. CONCLUSIONS: Although 10% of the children failed hearing screening, pediatricians neither rechecked nor referred more than half of these children. Screening that does not result in action for those failing the screening wastes resources and fails to properly identify hearing impairment in children.

Adolescent↗

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

BACKGROUND: It is assumed that the performance of more senior residents is superior to that of interns, but this has not been assessed objectively. OBJECTIVE: To determine whether adherence to national guidelines for outpatient preventive health services differs by year of residency training. DESIGN: Cross-sectional study. PARTICIPANTS: One hundred twenty Internal Medicine residents, postgraduate year (PGY)- 1 and PGY -2, attending a University Internal Medicine teaching clinic between June 2000 and May 2003. MEASUREMENTS: We studied 6 preventive health care services offered or received by patients by abstracting data from 1,017 patient records. We examined the differences in performance between PGY-1 and PGY-2 residents. RESULTS: Postgraduate year-2 residents did not statistically outperform PGY-1 residents on any measure. The overall proportion of patients receiving appropriate preventive health services for pneumococcal vaccination, advising tobacco cessation, breast and colon cancer screening, and lipid screening was similar across levels of training. PGY-1s outperformed PGY-2s for tobacco use screening (58%, 51%, P = .03). These results were consistent after accounting for clustering of patients within provider and adjusting for patient age, gender, race and insurance, resident gender, and number of visits during the measurement year. CONCLUSIONS: Overall, patients cared for by PGY-2 residents did not receive more outpatient preventive health services than those cared for by PGY-1 residents. Efforts should be made to ensure quality patient care in the outpatient setting for all levels of training.

Adult↗

Designing tailored Web-based instruction to improve practicing physicians' preventive practices.

BACKGROUND: The World Wide Web has led to the rapid growth of medical information and continuing medical educational offerings. Ease of access and availability at any time are advantages of the World Wide Web. Existing physician-education sites have often been designed and developed without systematic application of evidence and cognitive-educational theories; little rigorous evaluation has been conducted to determine which design factors are most effective in facilitating improvements in physician performance and patient-health outcomes that might occur as a result of physician participation in Web-based education. Theory and evidence-based Web design principles include the use of: needs assessment, multimodal strategies, interactivity, clinical cases, tailoring, credible evidence-based content, audit and feedback, and patient-education materials. Ease of use and design to support the lowest common technology denominator are also important. OBJECTIVE: Using these principles, design and develop a Web site including multimodal strategies for improving chlamydial-screening rates among primary care physicians. METHODS: We used office-practice data in needs assessment and as an audit/feedback tool. In the intervention introduced in 4 phases over 11 months, we provided a series of interactive, tailored, case vignettes with feedback on peer answers. We included a quality-improvement toolbox including clinical practice guidelines and printable patient education materials. RESULTS: In the formative evaluation of the first 2 chlamydia modules, data regarding the recruitment, enrollment, participation, and reminders have been examined. Preliminary evaluation data from a randomized, controlled trial has tested the effectiveness of this intervention in improving chlamydia screening rates with a significant increase in intervention physicians' chlamydia knowledge, attitude, and skills compared to those of a control group. CONCLUSIONS: The application of theory in the development and evaluation of a Web-based continuing medical education intervention offers valuable insight into World Wide Web technology's influence on physician performance and the quality of medical care.

Adolescent↗

Does early discharge with nurse home visits affect adequacy of newborn metabolic screening?

OBJECTIVE: To examine the impact of early discharge on newborn metabolic screening. STUDY DESIGN: Metabolic screening results were obtained from the Alabama State Lab for all infants born at our hospital between 8/1/97, and 1/31/99, and were matched with an existing database of early discharge infants. An early newborn discharge was defined as a discharge between 24 and 47 hours of age. Metabolic screening tests included phenylketonuria (PKU), hypothyroidism, and congenital adrenal hyperplasia (CAH). Early discharge and traditional stay infants were compared to determine the percentage of newborns screened and the timing of the first adequate specimen. RESULTS: The state laboratory received specimens from 3860 infants; 1324 were on early discharge newborns and 2536 infants in the traditional stay group. At least one filter paper test (PKU, hypothyroidism, and CAH) was collected on 99.2% of early discharge infants and 96.0% of traditional stay infants (P<.0001). Early discharge infants had a higher rate of initial filter paper specimens being inadequate (22.9%) compared with traditional stay infants (14.3%, P<.0001) but had a higher rate of repeat specimens when the initial specimen was inadequate (85.0% early discharge vs 75.3% traditional stay, P=.002). The early discharge group was more likely to have an adequate specimen within the first 9 days of life (1001, 98.8% early discharge vs 2016, 96.7% traditional stay, P=.0005). CONCLUSIONS: In this well established early discharge program with nurse home visits, newborn metabolic screening is not compromised by early discharge.

Alabama↗

Identifying physician-recognized depression from administrative data: consequences for quality measurement.

BACKGROUND: Multiple factors limit identification of patients with depression from administrative data. However, administrative data drives many quality measurement systems, including the Health Plan Employer Data and Information Set (HEDIS). METHODS: We investigated two algorithms for identification of physician-recognized depression. The study sample was drawn from primary care physician member panels of a large managed care organization. All members were continuously enrolled between January 1 and December 31, 1997. Algorithm 1 required at least two criteria in any combination: (1) an outpatient diagnosis of depression or (2) a pharmacy claim for an antidepressant Algorithm 2 included the same criteria as algorithm 1, but required a diagnosis of depression for all patients. With algorithm 1, we identified the medical records of a stratified, random subset of patients with and without depression (n = 465). We also identified patients of primary care physicians with a minimum of 10 depressed members by algorithm 1 (n = 32,819) and algorithm 2 (n = 6,837). RESULTS: The sensitivity, specificity, and positive predictive values were: Algorithm 1: 95 percent, 65 percent, 49 percent; Algorithm 2: 52 percent, 88 percent, 60 percent. Compared to algorithm 1, profiles from algorithm 2 revealed higher rates of follow-up visits (43 percent, 55 percent) and appropriate antidepressant dosage acutely (82 percent, 90 percent) and chronically (83 percent, 91 percent) (p < 0.05 for all). CONCLUSIONS: Both algorithms had high false positive rates. Denominator construction (algorithm 1 versus 2) contributed significantly to variability in measured quality. Our findings raise concern about interpreting depression quality reports based upon administrative data.

Algorithms↗

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.

Adolescent↗