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At least 37 records · Page 2Linked to original sources
PubMed2006

Paulista Registry of glomerulonephritis: 5-year data report.

BACKGROUND: The Paulista Registry of Glomerulopathies was created in May 1999 and comprises several centres of São Paulo, the most populous Brazilian State, that concentrates people from all regions of the country who look for health care. METHODS: This report includes data from 2086 patients from Brazil submitted to renal biopsy due to the presumed diagnosis of glomerular diseases, registered prospectively since May 1999 until January 2005. Data were collected by the integrants of the 11 centres involved, utilizing a standardized questionnaire. RESULTS: The mean age of the patients was 34.5+/-14.6 years. Primary glomerular diseases were more frequent in males (55.1%) than in females; on the other hand, secondary glomerular diseases were more frequent in females (71.8%). The most common clinical presentation was nephrotic syndrome and the frequency of hypertension, at this time, was 55.5%. There was a predominance of indication of biopsies in the third, fourth and fifth decades of life. The most common primary glomerular diseases were focal and segmental glomerulosclerosis (29.7%), followed by membranous nephropathy (20.7%), IgA nephropathy (17.8%), minimal change disease (9.1%), membranoproliferative glomerulonephritis (7%), crescentic glomerulonephritis (4.1%), advanced chronic glomerulopathy (4%), non-IgA mesangial glomerulonephritis (3.8%), diffuse proliferative glomerulonephritis (2.5%), focal segmental proliferative glomerulonephritis (1%) and others (0.3%). The most frequent secondary glomerular disease was lupus nephritis, corresponding to 66.2% of the cases, followed by post-infectious glomerulonephritis (12.5%), diabetic nephropathy (6.2%), diseases associated to paraproteinaemia (4.9%), hereditary diseases (4.6%), vasculitis (3.2%), malignancies (0.9.%), secondary focal segmental glomerulosclerosis (0.6%) and others (0.9%). CONCLUSION: Focal segmental glomerulosclerosis was the most frequent primary glomerular disease, followed by membranous nephropathy and IgA nephropathy. Lupus nephritis predominated over all the other secondary glomerular diseases.

Adolescent↗
PubMed2003

Using self-reported data to predict expenditures for the health care of older people.

OBJECTIVES: To create and test a method for using self-reported data to predict future expenditures for the health care of older people. DESIGN: A two-stage regression model of the relationship between self-reported data and Medicare expenditures during the following year was constructed from a randomly selected (derivation) half of a cohort of fee-for-service Medicare beneficiaries. For the other (validation) half of the cohort, two sets of predictions of 12-month Medicare expenditures were generated, one using the new two-stage model and the other using the principal inpatient diagnostic cost group (PIP-DCG) method now used to risk-adjust capitation payments to Medicare + Choice health plans. Both sets of predictions were compared with Medicare's actual 12-month expenditures for the validation cohort. SETTING: Ramsey County, Minnesota. PARTICIPANTS: Community-dwelling Medicare beneficiaries aged 70 and older (N = 13,682) who responded to a mailed survey. MEASUREMENTS: Predicted-to-observed ratio (PTOR) of Medicare expenditures. RESULTS: For the validation cohort, Medicare's actual 12-month expenditures totaled $26.5 million. The two-stage model predicted Medicare expenditures of $26.4 million (PTOR = 1.00); the PIP-DCG method predicted $31.2 million (PTOR = 1.18). Within subpopulations of healthy and ill beneficiaries, the two-stage model's predictions remained considerably more accurate than the PIP-DCG predictions. CONCLUSION: Self-reported data may predict future Medicare expenditures more accurately than administrative data about beneficiaries' demographic characteristics, and previous hospitalizations.

Aged↗
PubMed2005

Emergency department visits in Wisconsin 1998-2002: trends in usage and accuracy of reported data.

INTRODUCTION: There is a paucity of data regarding the utilization of emergency departments (EDs) across Wisconsin. It is unknown if national trends in increased utilization are consistent within our state. Several years ago, mandatory reporting of ED visits to the Department of Health and Family Services was instituted and, if accurate, may provide a method for tracking ED usage. METHODS: We conducted a survey of existing EDs to study the trend in patient visits for the 5-year time period 1998-2003. Data reported in the surveyed departments were compared to those reported to the state database. RESULTS: On average, all EDs reported a consistent yearly increase in patient visits over the time period (an average overall increase of 10%). On average, this increase was larger for smaller hospitals. Growth was consistent over the time period, but the yearly rate steadily slowed down. Data reported to the state consistently underreported the actual census. CONCLUSION: All sizes of EDs across Wisconsin continue to show increases in ED utilization. The growth rate is consistent but may be slowing. This has implications for planning for ED resources. Reported data have many discrepancies and need to be independently checked before they can be utilized in any research or planning.

Catchment Area, Health↗
PubMedDate not supplied

Verification of data reported by practices for a study of spontaneous abortion.

Little is known about the accuracy of data reported in practice based primary care research. The Ambulatory Sentinel Practice Network (ASPN) undertook a 100% audit of 226 patients included in a study of spontaneous abortion (SAB). The audit was conducted to assess the feasibility of conducting audits in primary care research networks dispersed over large geographic areas, verify that patients met inclusion criteria, and assess the frequency of reporting errors using the medical record as a standard. Of the originally reported SABs, 24% could not be verified. The overall error rate was 4.5%, a total of 106 errors out of a possible 2,361. Seventy percent of these errors came from five of the 34 participating practices. Sixty-six percent of the records were error-free. Seventy-seven percent of the errors were associated with problems with methods and clustered into three categories: gravidity, gestational age, and dilation and curettage (D&C). According to this audit, the data reported by the practices for research purposes were very similar to the data found in the medical record.

Abortion, Spontaneous↗
PubMed1998

Publicly reported data impacts administrative procedures, contracting decisions.

Publicly reported data can positively impact cost and quality of care--especially when hospitals use the data to improve their administrative procedures. After reading published data on the cost, mortality, and length of stay related to coronary artery bypass graft surgery at 44 Pennsylvania hospitals, 77% of hospital CEOs responding to a survey said they used the data to make institutional decisions.

Benchmarking↗
PubMed1990

A review of data reports published in the Journal of Manipulative and Physiological Therapeutics from 1986 to 1988.

Forty-six data reports which appeared in the Journal of Manipulative and Physiological Therapeutics from 1986 to 1988 were reviewed according to specific methodological criteria. There appears to be a need for improved study design in contemporary chiropractic research. Experimental and quasi-experimental studies were most commonly deficient in the areas of reliable methods of measurement, the use of blind assessors and blind, or at least naive, study subjects. Common flaws in surveys were: failure to test the survey instrument prior to the study, not stating the response rate, and omitting discussion of the question of confidentiality. The results confirmed findings obtained in a similar study of data reports of an Australian peer-reviewed chiropractic journal. The use of various types of checklists is recommended for authors and reviewers of chiropractic scientific material.

Bibliographies as Topic↗
PubMed2002

Unrealistic expectations arising from mortality data reported in the cardiothoracic journals.

BACKGROUND: This study was undertaken to ascertain whether mortality data in the cardiac surgical literature mirror data reported in national databases. METHODS: This was a review of articles with 50 or more subjects reporting single-center mortality data for coronary artery bypass or aortic or mitral valve replacement published in the three major cardiothoracic surgical journals from 1997 through 2000. Mortality data and trends were examined. RESULTS: One hundred sixty-nine articles were found (coronary artery bypass, n = 119; aortic valve replacement, n = 34; mitral valve replacement, n = 16). Articles were predominantly case series (N = 95), with smaller numbers of comparative retrospective studies (n = 34), randomized trials (n = 29), and prospective noncomparative studies (n = 11). The median mortality figures for these studies were 1.5% (interquartile range, 0.3%-2.6%) for coronary artery bypass, 3.4% (interquartile range, 2.0%-5.3%) for aortic valve replacement, and 4.7% (interquartile range, 2.1%-6.9%) for mitral valve replacement. In contrast, the national registry mortality figures were 2.9%, 4.0%, and 6.0%, respectively, in the United States and 2.6%, 4.5% and 6.3%, respectively, in the United Kingdom. Coronary bypass studies with samples smaller than 100 patients reported lower mortality figures (median 0%) than did those with more than 100 patients (1.8%). Exploration with graphical plots suggested a bias toward reporting and publication of studies with below average mortality. CONCLUSIONS: Particularly for coronary artery bypass, published data tend to underrepresent the risk of death as seen in most centers. Outcomes and magnitudes of effects as reported in these research studies may not be replicable to the same degree in most centers. In particular, extreme caution should be taken in extrapolating results from studies with fewer than 100 patients to larger surgical populations.

Aortic Valve↗
PubMedDate not supplied

Self-reported data: reliability and role in determining program effectiveness.

This study was conducted to assess the reliability of self-reported hospitalization data, as well as the appropriateness of using self-reported data in evaluating the effectiveness of the Maine Ambulatory Diabetes Education and Follow-Up (ADEF) program. A Maine Blue Cross/Blue Shield (BC/BS) inpatient claims file was used as the reference source to verify self-reported hospitalization data. For a sample of 99 BC/BS subscribers who attended the ADEF program, 77% of the study participants accurately self-reported hospitalization patterns over a 12-mo time period before attending the education program, and 81% of the participants accurately self-reported hospitalization patterns during a posteducation follow-up time period. The reference BC/BS claims data documented a reduction in hospitalizations for the study participants similar to that reported using the ADEF self-reported hospitalization data. The Maine Diabetes Control Project used the self-reported hospitalization data in combination with selected reference claims data to secure third-party reimbursement for the Maine ADEF Program.

Adult↗
PubMed1996

Pattern reliability of narcotics addicts' self-reported data: a confirmatory assessment of construct validity and consistency.

Pattern reliability, or the invariance of relationships among variables, was investigated in this study. The consistency of theoretical constructs reflected by measures taken at two separate occasions can be tested using confirmatory factor analysis. Self-report data were obtained from 323 narcotics addicts in two face-to-face interviews conducted in 1974/75 and 1985/86. The two interviews overlapped approximately 4 years between 1970 and 1974/75. Through the testing of the invariance of measurement and structural models, pattern reliability was confirmed in one of the models developed. Explication of pattern reliability offers an alternative means of assessing validity of self-report data.

Adult↗
PubMed1995

Can self-reported data accurately describe the prevalence of overweight?

Overweight is an important public health problem affecting around 50% of the population of Wales, resulting in increased risk of illness, premature disability and premature death. The aim of this study was to examine critically the accuracy of self-reported data in describing the prevalence of overweight in Wales. A sample of 1622 adults aged 18 to 64 years was taken from the Welsh Heart Health Survey 1985. In that survey weight and height data were collected on a self-completed questionnaire and by clinical measurement. Mean differences between self-reported and measured weight and height were used as indicators of bias, and the accuracy of BMI and the prevalence of overweight based on this data were analysed. Weight was reported without significant bias in men, but women under-reported their weight by an average of 1.1 kg. Height was over-reported by 1.4 cm in men, and 0.7 cm in women, on average. More than two-thirds of subjects reported to within 2.3 kg and 2.5 cm of their actual weight and height. Reporting was more biased in older and overweight groups. The calculation of body mass index resulted in amplification of bias and underestimation of the prevalence of overweight and obesity in the study sample of 4.5% in men and 6.7% in women. The results have important implications for the use of self-reported data for the scientific measurement of the prevalence of overweight, especially in longitudinal studies, and suggest that further research should be conducted into the stability of reporting bias over time.

Adult↗
PubMed1992

Quality of self-report data: a comparison of older and younger chronically ill patients.

This study examined age differences in the quality of self-report data in patients with chronic disease conditions (hypertension, diabetes, heart disease, depression). Data are from 2,304 patients in three health care systems in Los Angeles, Chicago, and Boston. Results support the idea that self-report health data can be gathered from older and younger patients without significant decrements in data quality. Specifically, results showed: (1) small decreases in the reliability of multi-item measures with age, primarily occurring in balanced scales; (2) little evidence of differences among age groups in response set or the tendency to respond "don't know" or "uncertain," although older patients had a greater tendency to respond in a socially desirable manner; (3) higher item nonresponse in older patients; (4) little variation in item nonresponse by type of question or question placement; (5) generally high panel retention in all age groups, supporting the value of repeated follow-up; and (6) similar known-groups validity across age groups.

Adolescent↗
PubMed2004

The estimation of relative fitness and frailty in community-dwelling older adults using self-report data.

BACKGROUND: While on average health declines with age, it also becomes more variable with age. As a consequence of this marked variability, it becomes more important as people age to have a means of summarizing health status, but how precisely to do so remains controversial. We developed one measure of health status, personal biological age, from a frailty index. The index itself is a count of deficits derived, in the first instance, from a clinical database. In our earlier investigations, personal biological age demonstrated a strong relationship with 6-year survival. Here we extend this approach to self-reported data. METHODS: This is a secondary analysis of community-dwelling people aged 65 years and older (n = 9008) in the Canadian Study of Health and Aging. The frailty index was calculated from 40 self-reported variables, representing symptoms, attitudes, illnesses, and function. Personal biological age was estimated for each individual as the age corresponding to the mean chronological age for the index value. Individual frailty (and the related construct of fitness) was calculated as the difference between chronological and personal biological age. RESULTS: The frailty index showed, on average, an exponential increase with age at an average rate of 3% per year. Although women, on average, demonstrate more frailty than men of the same chronological age, their survival chances are greater. The frailty index strongly correlated (Pearson r =.992 for women and.955 for men) with survival. CONCLUSIONS: A frailty index, based on self-report data, can be used as a tool for capturing heterogeneity in the health status of older adults.

Aged↗
PubMed2003

Comparisons of self-report data and oral fluid testing in detecting drug use amongst new treatment clients.

Drug testing is widely used and employed in diverse contexts, including drug treatment clinics. Building on previous research, this paper aims to (i) compare self-report data and oral fluid (OMT) testing in detecting drug use amongst individuals beginning a new episode of drug treatment and (ii) identify factors that may predict drug users who have discordant self-report and OMT test results. Two hundred and seventy-one new drug treatment clients completed a structured questionnaire that included questions relating to drug use during the preceding 3 days and provided an oral fluid sample that was independently tested for opiates, benzodiazepines, methadone and cannabis. Data were analysed using kappa statistics (Cohen, 1960) and univariate and multivariate logistic regression. Findings indicated a high level of consistency between self-reported drug use and OMT testing. However, agreement varied by drug type and respondents commonly reported consumption that screening failed to identify. Inconsistencies appeared to relate to a number of factors and were not necessarily a function of deliberate distortion by the drug user. Overall, it is concluded that OMT testing is a good indicator of the validity and reliability of drug users' self-report data. Nonetheless, its accuracy might be greater for some drug categories than for others. Equally, further study comparing test results and self-reported drug use amongst different populations and in different contexts is required.

Adult↗
PubMed1991

Proxy respondents in reproductive research: a comparison of self- and partner-reported data.

The quality of proxy reporting was assessed among 136 prenatal patients and their spouse/partners recruited from the obstetric services of a New Jersey hospital between 1985 and 1987. The concordance, sensitivity, and specificity of proxy reports about partners' occupation, smoking, and drinking were examined in relation to self-reports. Overall, private patients provided better proxy data than did clinic patients, and women provided better data than did men. No consistent effects on the quality of proxy reports were found in relation to age, level of education, marital status, or length of cohabitation. Partners' recent job titles appeared to be quite accurately reported, whereas partners' smoking and drinking patterns were less well-reported. For alcohol use in particular, there was evidence of considerable misclassification resulting from proxy reports even when kappa statistics and intraclass correlation coefficients suggested good agreement. Use of proxy respondents is unnecessary in reproductive studies and should be avoided when it may produce misleading results. Our data indicate that private prenatal patients and their partners can give reasonable proxy reports about job titles and smoking, but not about alcohol use. The high proportion of clinic patients who did not refer a partner (or whose partners could not be contacted) limits the generalizability of our results for this group and gives cause for concern about collecting proxy information from clinic populations.

Adolescent↗
PubMed2004

Predicting autonomic reactivity to public speaking: don't get fixed on self-report data!

The study focused on the prediction of autonomic reactivity to public speaking by using self-report and objective data (other-ratings and behavioral data) of task-induced nervousness and task engagement. Forty-one individuals participated in the study. Heart rate and electrodermal activity were recorded during baseline and speech delivery. Stepwise multiple regression analyses indicated that self-report data of task engagement and nervousness largely failed in predicting psychophysiological reactivity to the speech task. After controlling for baseline values, demographic variables, and self-report data objective variables, however, were strong predictors of autonomic reactivity. Heart rate reactivity was significantly associated with gaze-duration towards the camera, indicating task engagement/involvement. Electrodermal activity was significantly related to other-rated nervousness/unstableness. Researchers are encouraged to record additionally objective variables when focusing on the prediction of psychophysiological reactivity.

Adult↗