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Using ICPC in a computer-based primary care information system.

INTRODUCTION: Although the framework of the episode of care offers much promise in examining the process of primary health care, the development of episode-oriented, automated data sources has proceeded slowly. Experience with the International Classification of Primary Care (ICPC) in the European Community has confirmed its usefulness in creating and analyzing episodes of care, but it has seen little use in the United States. We describe the development of a Primary Care Information System (PCIS), which employs ICPC to create episodes of care from routinely collected clinical data. METHODS: The PCIS is a partially computerized medical information system running on a standard Macintosh microcomputer. The PCIS integrates ICPC, ICD-9-CM, and CPT-4 coding structures to provide episode-oriented data for clinical, administrative, research, and reimbursement needs. The performance of the PCIS was assessed based on five major issues: clinician cooperation, data-entry accuracy, validity of episode data, cost, and perceived value to users. RESULTS: The data collection and entry process required minimal additional effort from clinicians and data-entry personnel, and data-entry accuracy exceeded published estimates for other primary care data sources. Data management costs of about $1 per encounter compare favorably to published estimates for other office-based clinical information systems. The major problem seen during pilot testing was inaccurate tracking of episode boundaries through changes in providers and consequent changes in labels for problems and diagnoses. This problem has been addressed in development of the second-generation PCIS. CONCLUSION: The combination of an episode-oriented framework such as ICPC and a flexible medical information system provides a promising platform for the study of the content and process of primary health care.

Family Practice↗

Effect of systematic errors in spectral photometric data on the accuracy of determination of optical parameters of dielectric thin films.

The determination of optical parameters of thin films from experimental data is a typical task in the field of optical-coating technology. The optical characterization of a single layer deposited on a substrate with known optical parameters is widely used for this purpose. Results of optical characterization are dependent on not only the choice of the thin-film model but also on the quality of experimental data. The theoretical results presented highlight the effect of systematic errors in measurement data on the determination of thin-film parameters. Application of these theoretical results is illustrated by the analysis of experimental data for magnesium fluoride thin films.

Journal Article↗

Getting the data right: information accuracy in pediatric emergency medicine.

OBJECTIVES: (1) To identify the extent to which information provided by parents in the pediatric emergency department (ED) can drive the assessment and categorization of data on allergies to medications, and (2) to identify errors related to the capture and documentation of allergy data at specific process level steps during ED care. METHODS: An observational study was conducted in a pediatric ED, combining direct observation at triage, a structured verbal interview with parents to ascertain a full allergy history related to medications, and chart abstraction. A comparative standard for the allergy history was established using parents' interview responses and existing guidelines for allergy. Errors associated with ED information management of allergy data were evaluated at five steps: (1) triage assessment, (2) treating physician's discussion with parent, (3) treating nurse's discussion with parent, (4) use of an allergy bracelet, and (5) documentation of allergy history on medication order sheets. RESULTS: 256 parent-child dyads were observed at triage; 211/256 parents (82.4%) completed the structured verbal interview that served as the basis for the comparative standard (CS). Parents reported a total of 59 medications as possible allergies; 56 (94.9%) were categorized as allergy or not based on the CS. Twenty eight of 48 patient cases were true allergies by guideline based assessment. Sensitivity of triage for detecting true medication allergy was 74.1% (95% confidence interval (CI) 53.7 to 88.9). Specificity of triage personnel for correctly determining that no allergy existed was 93.2% (95% CI 88.5 to 96.5). Physician and nursing care had performance gaps related to medication allergy in 10-25% of cases. CONCLUSIONS: There are significant gaps in the quality of information management regarding medication allergies in the pediatric ED.

Adolescent↗

Availability and accuracy of electronic patient data for medical practice assessment.

UNLABELLED: We analyzed availability and accuracy of electronic patient data needed to assess medical practice. A case study was performed in which pediatricians formulated 14 performance indicators that cover aspects of care for children with suspected meningitis. Data items needed to quantify these indicators were listed. Required patient data were gathered from hospital information system and paper medical records. Accuracy of electronically available data was based on comparison with paper data and, when paper data were not available, on how data were recorded at the source, administrative procedures and original goal for which data were recorded. CONCLUSION: Registration of reason for admission and diagnoses gives no reliable basis to select patients with 'suspicion on a disease' as selection criterion. Besides, many performance indicators cannot be reliably quantified because data are not recorded electronically (indication, medication, outpatient diagnosis), are not recorded specific enough (intervention time), are not standardized (radiology report), or cannot be obtained from other hospitals.

Child↗

Clinical evaluation of the effects of signal integrity and saturation on data availability and accuracy of Masimo SE and Nellcor N-395 oximeters in children.

UNLABELLED: Pulse oximetry manufacturers have introduced technologies that claim improved detection of hypoxemic events. Because improvements in signal processing and data rejection algorithms may differentially affect data reporting, we compared the data reporting and signal heuristic performance and agreement among the Nellcor N-395, Masimo SET, and GE Solar 8000 oximeters under a spectrum of conditions of signal integrity and arterial oxygen saturations. A blinded side-by-side comparison of technologies was performed in 27 patients, and data were analyzed for time of data availability, measures of agreement and signal heuristics, and warnings stratified by signal integrity and SpO(2). The Solar 8000 had less total data dropout than either of the new technologies. Masimo's LoSIQ (signal quality) heuristic rejected less data than Nellcor's MOT/PS (motion/pulse search) flag. When no signal heuristic was displayed, there was little difference in precision and bias between the two newer technologies; however, agreement between devices deteriorated in the presence of SIQ, MOT, or hypoxemia. Both newer devices flagged questionable data, but their use of different rejection algorithms resulted in different probabilities of presenting data. Therefore, with poor SIQ or during hypoxemia, the Nellcor N-395 and Masimo oximeters are not clinically equivalent to each other or to the older Solar 8000 oximeter. IMPLICATIONS: We compared new pulse oximeters from Nellcor and Masimo and found that, with good signal conditions, both new devices performed similarly to older technology. Overall, Masimo reported less data as questionable than Nellcor. With poor signal conditions or during hypoxemia, the new devices are not clinically equivalent to each other or to the older technology.

Algorithms↗

Use of proxy respondents and accuracy of minimum data set assessments of activities of daily living.

BACKGROUND: Although the Minimum Data Set (MDS) presents a wide range of opportunities for policy makers and practitioners interested in outcomes of nursing home care for frail elderly persons, researchers have debated the validity and reliability of measurements in the MDS from the outset. To investigate this issue, the authors studied the accuracy of functional assessments by comparing the MDS and interview data collected in two evaluation studies. METHODS: Activities of daily living (ADL) assessment data from 3385 nursing home residents were collected from interviews with nursing home residents (n = 1200), family members (n = 1070), and nursing home staff (n = 1115). The MDS data for these nursing home residents were obtained and matched with the interview data. The agreement in ADL assessments between interview data and the MDS was assessed using Kappa statistics and multinomial logit regression for each of the three data sources. RESULTS: The agreement on ADL assessments between MDS and interview data was low to moderate (Kappa = 0.25 to 0.52), regardless of the sources of data. Interview data from staff and family proxies agreed to a greater degree with the MDS than did data collected from nursing home residents. The MDS reported fewer ADL difficulties than did staff proxies and more ADL difficulties than did nursing home residents. These findings held even after adjustment for other confounding factors using multinomial logit regression. CONCLUSIONS: The substantial discrepancy between MDS and interview data can be attributed to both bias and error. The ADL assessments based on residents' and family or staff reports differ, but the size of these differences depends on the proxy type and the method of data collection.

Activities of Daily Living↗

Accuracy of routine data on MMR vaccination coverage and validity of parental recall of vaccination.

A study was conducted to re-validate the measles, mumps and rubella (MMR) coverage and measles susceptibility in children resident in Bolton and born between 1991 and 1995; also to examine the accuracy of parental recall of children's MMR vaccination status. Using general practitioner/practice held records, a validation survey was conducted on a random sample of 171 reportedly unvaccinated children. A questionnaire survey was used to assess parental recall. 'Records' to 'recall' agreement was examined. One- and two-dose population coverage according to routine data was 94.6% and 75.2% respectively, with measles susceptibility of 8.1%. Based on the 'records' survey, one- and two-dose population coverage estimates were 97.4% (+2.8%) and 78.9% (+3.7%), with a revised susceptibility estimate of 5.2%, respresenting a 36% reduction in the susceptibility fraction. Routine data may modestly underestimate vaccination coverage and significantly overestimate measles susceptibility. Many parents of MMR unvaccinated children believe that their children have been vaccinated.

Chi-Square Distribution↗

Accuracy of injury coding in Victorian hospital morbidity data.

In Victoria injury surveillance data are drawn from hospital morbidity data. The accuracy and reliability of these data are often questioned. We aimed to ascertain the reliability of injury data in the Victorian inpatient minimum database. A random sample of 546 public hospital separations with principal diagnosis ICD-9-CM codes 800-999 was selected from four metropolitan hospitals. Medical records were reviewed, and the hospital coding was compared with the record content. The frequency of error in any coding field was 73 per cent (349/480); of diagnosis error, 61 per cent (292/480); of procedure error, 45 per cent (168/370); of error in the principal diagnosis, 19 per cent (93/480); and of error in external-cause codes (E-codes), 16 per cent (75/480). Ninety-four per cent of errors (87/93) in the principal diagnosis involved recoding within the same group of codes. Only 6 per cent (6/93) were recoded to principal diagnoses other than injury. Sixty-two per cent (181/292) were errors of omission of codes for comorbid conditions. Nearly half the errors in the principal diagnosis were minor, involving the last two digits. E-codes were more complete than diagnosis codes. The best predictors of error in the principal diagnosis were greater length of stay, type of injury code (poisonings and toxic effects were associated with lower error rates) and death as the outcome. While selection of data from secondary diagnosis fields may not provide complete data, the use of the principal-diagnosis code and E-codes for injury surveillance is feasible and reliable. The database is a valuable source of injury surveillance data, bearing in mind the limitations of coded hospital morbidity data.

Adolescent↗

Prostate cancer localization with endorectal MR imaging and MR spectroscopic imaging: effect of clinical data on reader accuracy.

PURPOSE: To determine the effect of digital rectal examination findings, sextant biopsy results, and prostate-specific antigen (PSA) levels on reader accuracy in the localization of prostate cancer with endorectal magnetic resonance (MR) imaging and MR spectroscopic imaging. MATERIALS AND METHODS: This was a retrospective study of 37 patients (mean age, 57 years) with biopsy-proved prostate cancer. Transverse T1-weighted, transverse high-spatial-resolution, and coronal T2-weighted MR images and MR spectroscopic images were obtained. Two independent readers, unaware of clinical data, recorded the size and location of suspicious peripheral zone tumor nodules on a standardized diagram of the prostate. Readers also recorded their degree of diagnostic confidence for each nodule on a five-point scale. Both readers repeated this interpretation with knowledge of rectal examination findings, sextant biopsy results, and PSA level. Step-section histopathologic findings were the reference standard. Logistic regression analysis with generalized estimating equations was used to correlate tumor detection with clinical data, and alternative free-response receiver operating characteristic (AFROC) curve analysis was used to examine the overall effect of clinical data on all positive results. RESULTS: Fifty-one peripheral zone tumor nodules were identified at histopathologic evaluation. Logistic regression analysis showed awareness of clinical data significantly improved tumor detection rate (P <.02) from 15 to 19 nodules for reader 1 and from 13 to 19 nodules for reader 2 (27%-37% overall) by using both size and location criteria. AFROC analysis showed no significant change in overall reader performance because there was an associated increase in the number of false-positive findings with awareness of clinical data, from 11 to 21 for reader 1 and from 16 to 25 for reader 2. CONCLUSION: Awareness of clinical data significantly improves reader detection of prostate cancer nodules with endorectal MR imaging and MR spectroscopic imaging, but there is no overall change in reader accuracy, because of an associated increase in false-positive findings. A stricter definition of a true-positive result is associated with reduced sensitivity for prostate cancer nodule detection.

Adult↗

Evaluating the accuracy of minimum data set bed-mobility ratings against independent performance assessments: systematic error and directions for improvement.

PURPOSE: The Minimum Data Set (MDS) Activities of Daily Living (ADL) bed-mobility item, which rates the staff-assistance level necessary for bed movement, is used to target scheduled repositioning interventions and to identify physical function changes in nursing home residents; however, accuracy of the item is uncertain. The purpose of this study was to evaluate the accuracy of the MDS ADL bed-mobility item as completed by nursing home nurses with independent performance assessments conducted by research staff. DESIGN AND METHODS: A convenience sample of 197 long-stay residents from 26 California nursing homes participating in a larger project was used in this cross-sectional study to compare independent research-staff performance assessments (using graduated assistance protocols of residents' ability to move in bed) and nursing home nurse MDS bed-mobility ratings. Participants also wore movement monitors to verify performance assessments. RESULTS: Poor agreement existed between the nursing home nurse MDS bed-mobility ratings and the research-staff performance assessments across all assistance levels (kappa range, kappa = 0.007, p =.918 to kappa = 0.484, p <.001), with better agreement seen in totally dependent participants and with fewer elapsed days between MDS ratings and performance assessments. The odds of nursing home nurse errors (underestimating or overestimating dependency) on the MDS bed-mobility item were 2.1 times higher for participants judged independent by research staff compared with participants judged as requiring physical assistance by research staff (95% confidence interval, 1.14-4.03) when adjusted for number of days between nurse MDS ratings and research-staff performance assessments. IMPLICATIONS: Nursing home nurses overestimated resident dependency in bed mobility. The systematic inaccuracies in MDS bed-mobility ratings have implications for their use as a basis for targeting residents for repositioning programs and determining changes in residents' physical function. Performance assessments utilizing graduated assistance protocols are recommended as a method of improving the accuracy of MDS bed-mobility ratings.

Activities of Daily Living↗

Assessing the validity of insurance coverage data in hospital discharge records: California OSHPD data.

OBJECTIVE: To assess the accuracy of data on "expected source of payment" in the patient discharge database compiled by the California Office of Statewide Health Planning and Development (OSHPD). DATA SOURCES: The OSHPD discharge data for the years 1993 to 1996 linked with administrative data from the University of California (UC) health benefits program for the same years. The linked dataset contains records for all stays in California hospitals by UC employees, retirees, and spouses. STUDY DESIGN: The accuracy of the OSHPD data is assessed using cross-tabulations of insurance type as coded in the two data sources. The UC administrative data is assumed to be accurate, implying that differences between the two sources represent measurement error in the OSHPD data. We cross-tabulate insurance categories and analyze the concordance of dichotomous measures of health maintenance organization (HMO) enrollment derived from the two sources. PRINCIPAL FINDINGS: There are significant coding errors in the OSHPD data on expected source of payment. A nontrivial percentage of patients with preferred provider organization (PPO) coverage are erroneously coded as being in HMOs, and vice versa. The prevalence of such errors increased after OSHPD introduced a new expected source of payment category for PPOs. Measurement problems are especially pronounced for older patients. Many patients over age 65 who are still covered by a commercial insurance plan are erroneously coded as having Medicare coverage. This, combined with the fact that during the period we analyzed, Medicare HMO enrollees and beneficiaries in the fee-for-service (FFS) program are combined in a single payment category, means that the OSHPD data provides essentially no information on insurance coverage for older patients. CONCLUSIONS: Researchers should exercise caution in using the expected source of payment in the OSHPD data. While measures of HMO coverage are reasonably accurate, it is not possible in these data to clearly identify PPOs as a distinct insurance category. For patients over age 65, it is not possible at all to distinguish among alternative insurance arrangements.

California↗

An objective spinal motion imaging assessment (OSMIA): reliability, accuracy and exposure data.

BACKGROUND: Minimally-invasive measurement of continuous inter-vertebral motion in clinical settings is difficult to achieve. This paper describes the reliability, validity and radiation exposure levels in a new Objective Spinal Motion Imaging Assessment system (OSMIA) based on low-dose fluoroscopy and image processing. METHODS: Fluoroscopic sequences in coronal and sagittal planes were obtained from 2 calibration models using dry lumbar vertebrae, plus the lumbar spines of 30 asymptomatic volunteers. Calibration model 1 (mobile) was screened upright, in 7 inter-vertebral positions. The volunteers and calibration model 2 (fixed) were screened on a motorized table comprising 2 horizontal sections, one of which moved through 80 degrees. Model 2 was screened during motion 5 times and the L2-S1 levels of the volunteers twice. Images were digitised at 5fps. Inter-vertebral motion from model 1 was compared to its pre-settings to investigate accuracy. For volunteers and model 2, the first digitised image in each sequence was marked with templates. Vertebrae were tracked throughout the motion using automated frame-to-frame registration. For each frame, vertebral angles were subtracted giving inter-vertebral motion graphs. Volunteer data were acquired twice on the same day and analysed by two blinded observers. The root-mean-square (RMS) differences between paired data were used as the measure of reliability. RESULTS: RMS difference between reference and computed inter-vertebral angles in model 1 was 0.32 degrees for side-bending and 0.52 degrees for flexion-extension. For model 2, X-ray positioning contributed more to the variance of range measurement than did automated registration. For volunteer image sequences, RMS inter-observer variation in intervertebral motion range in the coronal plane was 1.86 degrees and intra-subject biological variation was between 2.75 degrees and 2.91 degrees. RMS inter-observer variation in the sagittal plane was 1.94 degrees. Radiation dosages in each view were below the levels recommended for a plain film. CONCLUSION: OSMIA can measure inter-vertebral angular motion patterns in routine clinical settings if modern image intensifier systems are used. It requires skillful radiography to achieve optimal positioning and dose limitation. Reliability in individual subjects can be judged from the variance of their averaged inter-vertebral angles and by observing automated image registration.

Adult↗

Impact of different definitions on estimates of accuracy of the diagnosis data in a clinical database.

Computerized medical databases are increasingly used for research. The influence of different definitions of the accuracy of matching on the estimated accuracy of diagnosis data was assessed in a database of visits to a public pediatric clinic. Differences between definitions involved 1) unit of analysis, 2) number of diagnoses required to match per visit, and/or 3) whether database contents are required to match the medical record or medical record contents are required to be matched in the database. Overall, 90% of diagnoses in the database (391/435) were accurately coded relative to the medical record. Alternatively, 77% of diagnoses listed in the medical record (391/506) were accurately coded in the database. When individual visits were used as the unit of analysis, estimates of accuracy using six definitions ranged from 65% to 92%. The most appropriate definition to use for estimating accuracy of diagnosis data likely depends on the purpose of the study. Use of two or more such definitions may enhance portrayal of the accuracy of diagnosis data.

Algorithms↗

Improving completeness, accuracy & timeliness of HIV voluntary counseling & testing client data in Malawi using touchscreen computers.

A real-time data collection system can mitigate problems of data completeness, accuracy and timeliness often experienced using paper-based data collection and subsequent data entry. The Client Management Information System developed for the Malawi AIDS Counseling and Resource Organization employs touchscreen computers to collect client information during voluntary counseling and testing sessions. A user-friendly interface allows counselors with low levels of computer literacy to electronically capture client data in real-time without compromising the quality of counseling.

Attitude to Computers↗

The accuracy and completeness of data collected by prospective and retrospective methods.

OBJECTIVES: To describe and test a model that compares the accuracy of data gathered prospectively versus retrospectively among adult emergency department patients admitted with chest pain. METHODS: The authors developed a model of information flow from subject to medical record to the clinical study case report form, based on a literature review. To test this model, a bidirectional (prospective and retrospective) study was conducted, enrolling all eligible adult patients who were admitted with a chief complaint of chest pain. The authors interviewed patients in the emergency department to determine their chest pain history and established a prospective database; this was considered the criterion standard. Then, patient medical records were reviewed to determine the accuracy and completeness of the information available through a retrospective medical record review. RESULTS: The model described applies the concepts of reliability and validity to information passed on by the study subject, the clinician, and the medical record abstractor. This study was comprised of 104 subjects, of which 63% were men and the median age was 63 years. Subjects were uncertain of responses for 0-8% of questions and responded differently upon reinterview for subsets of questions 0-30% of the time. The sensitivity of the medical record for risk factors for coronary artery disease was 0.77 to 0.93. Among the 88 subjects (85%) who indicated that their chest pain was substernal or left chest, the medical record described this location in 44%. Timing of the chest pain was the most difficult item to accurately capture from the medical record. CONCLUSIONS: Information obtained retrospectively from the abstraction of medical records is measurably less accurate than information obtained prospectively from research subjects. For certain items, more than half of the information is not available. This loss of information is related to the data types included in the study and by the assumptions that a researcher performing a retrospective study makes about implied versus explicitly stated responses. A model of information flow that incorporates the concepts of reliability and validity can be used to measure some of the loss of information that occurs at each step along the way from subject to clinician to medical record abstractor.

Adult↗

Scoliosis evaluation by direct digital radiography and computerized post-processing.

With the introduction of direct digital radiography into clinical practice, there are opportunities to provide faster and more reliable ways of performing traditional radiological tasks. A technique was developed for evaluating and measuring scoliosis, which involves the computerized stitching of a radiograph of the thoracic spine with a radiograph of the lumbar spine. A technique is provided for real-time, graphic feedback during the stitching process, as well as during calculation and display of the Cobb angle to ensure accuracy. Initial data indicates an accuracy within 1 to 2 degrees. The time required to stitch the two images and measure the Cobb angle is on the average of 5 minutes per case. Using computerized techniques of image stitching and angle calculation, with real-time graphical feedback, the task of scoliosis evaluation is more accurate, less time consuming, and prone to fewer human errors. The requirement for special film cassettes is also eliminated.

Humans↗