Self-report Of Disease Research Articles

How Similar Are Drug Data and Disease Self-report? Estimating the Prevalence of Chronic Diseases in Less Developed Settings.

Drug data has been used to estimate the prevalence of chronic diseases. Disease registries and annual surveys are lacking, especially in less-developed regions. At the same time, insurance drug data and self-reports of medications are easily accessible and inexpensive. We aim to investigate the similarity of prevalence estimation between self-report data of some chronic diseases and drug data in a less developed setting in southwestern Iran. Baseline data from the Pars Cohort Study (PCS) was re-analyzed. The use of disease-related drugs were compared against self-report of each disease (hypertension [HTN], diabetes mellitus [DM], heart disease, stroke, chronic obstructive pulmonary disease [COPD], sleep disorder, anxiety, depression, gastroesophageal reflux disease [GERD], irritable bowel syndrome [IBS], and functional constipation [FC]). We used sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and the Jaccard similarity index. The top five similarities were observed in DM (54%), HTN (53%), heart disease (32%), COPD (30%), and GERD (15%). The similarity between drug use and self-report was found to be low in IBS (2%), stroke (5%), depression (9%), sleep disorders (10%), and anxiety disorders (11%). Self-reports of diseases and the drug data show a different picture of most diseases' prevalence in our setting. It seems that drug data alone cannot estimate the prevalence of diseases in settings similar to ours. We recommend using drug data in combination with self-report data for epidemiological investigation in the less-developed setting.

Associations between pain, health, and lifestyle factors in 10-year-old boys and girls from a Swedish birth cohort

BackgroundPain is common in children and its associations with various biopsychosocial factors is complex. Comprehensive pain assessments could contribute to a better understanding of pediatric pain, but these assessments are scarce in literature. The aim of this study was to examine differences in pain prevalence and pain patterns in 10-year-old boys and girls from a Swedish birth cohort and to study associations between pain, health-related quality of life and various lifestyle factors stratified by sex.Methods866 children (426 boys and 440 girls) and their parents from the “Halland Health and Growth Study” participated in this cross-sectional study. Children were categorized into two pain groups, “infrequent pain” (never–monthly pain) or “frequent pain” (weekly–almost daily pain), based on a pain mannequin. Univariate logistic regression analyses, stratified by sex, were performed to study associations between frequent pain and children’s self-reports of disease and disability and health-related quality of life (Kidscreen-27, five domains), and parents’ reports of their child’s sleep (quality and duration), physical activity time, sedentary time, and participation in organized physical activities.ResultsThe prevalence of frequent pain was 36.5% with no difference between boys and girls (p = 0.442). Boys with a longstanding disease or disability had higher odds of being in the frequent pain group (OR 2.167, 95% CI 1.168–4.020). Higher scores on health-related quality of life in all five domains for girls, and in two domains for boys, was associated with lower odds of being categorized into the frequent pain group. Frequent pain was associated with poor sleep quality (boys OR 2.533, 95% CI 1.243–5.162; girls OR 2.803, 95% CI 1.276–6.158) and more sedentary time (boys weekends OR 1.131, 95% CI 1.022–1.253; girls weekdays OR 1.137, 95% CI 1.032–1.253), but not with physical activity.ConclusionsThe high prevalence of frequent pain needs to be acknowledged and treated by school health-care services and the healthcare sector in order to prevent pain from influencing health and lifestyle factors negatively in children.

Concordance of self-reporting of diabetes compared with medical records: A comparative study using polyclinic data in Singapore

Studies of concordance between patients' self-report of diseases and a criterion standard (e.g. chart review) are usually conducted in epidemiological studies to evaluate the agreement of self-reported data for use in public health research. To our knowledge, there are no published studies on concordance for highly prevalent chronic diseases such as diabetes and pre-diabetes. The aims of this study were to evaluate the concordance between patients' self-report and their medical records of diabetes and pre-diabetes diagnoses, and to identify factors associated with diabetes concordance. A cross-sectional, interviewer-administered survey was conducted on patients with chronic diseases after obtaining written consent to assess their medical notes. Interviewers were blinded to the participants' profiles. Concordance was evaluated using Cohen's kappa (κ). A multivariable logistic regression model was used to identify factors associated with diabetes concordance. There was substantial agreement between self-reported and medical records of diabetes diagnoses (κ=0.76) and fair agreement for pre-diabetes diagnoses (κ=0.36). The logistic regression model suggested that non-Chinese patients had higher odds of diabetes concordance than Chinese patients (odds ratio [OR]=4.10, 95% confidence interval [CI] 1.19-14.13, P=0.03). Patients with 3 or more chronic diseases (i.e. multimorbidity) had lower odds of diabetes concordance than patients without multimorbidity (OR=0.21, 95% CI 0.09-0.48, P<0.001). Diabetes concordance was substantial, supporting the use of self-report of diabetes by patients with chronic diseases in the primary care setting for future research. Pre-diabetes concordance was fair and may have important clinical implications. Further studies to explore and improve health literacy and patient-physician communication are needed.

Inconsistency in the Self-report of Chronic Diseases in Panel Surveys: Developing an Adjudication Method for the Health and Retirement Study.

Chronic disease data from longitudinal health interview surveys are frequently used in epidemiologic studies. These data may be limited by inconsistencies in self-report by respondents across waves. We examined disease inconsistencies in the Health and Retirement Study and investigated a multistep method of adjudication. We hypothesized a greater likelihood of inconsistences among respondents with cognitive impairment, of underrepresented race/ethnic groups, having lower education, or having less income/wealth. We analyzed Waves 1995-2010, including adults 51 years and older (N = 24,156). Diseases included hypertension, heart disease, lung disease, diabetes, cancer, stroke, and arthritis. We used questions about the diseases to formulate a multistep adjudication method to resolve inconsistencies across waves. Thirty percent had inconsistency in their self-report of diseases across waves, with cognitive impairment, proxy status, age, Hispanic ethnicity, and wealth as key predictors. Arthritis and hypertension had the most frequent inconsistencies; stroke and cancer, the fewest. Using a stepwise method, we adjudicated 60%-75% of inconsistent responses. Discrepancies in the self-report of diseases across multiple waves of health interview surveys are common. Differences in prevalence between original and adjudicated data may be substantial for some diseases and for some groups, (e.g., the cognitively impaired).

État de santé et suivi bucco-dentaire selon le statut diabétique : exploitation de l’enquête ESPS 2008

BackgroundPoorly controlled diabetes leads to serious complications including periodontal disease, oral disease leading to tooth loss. Diabetics benefit from care facilitated follow-up. Social inequalities are observed in oral health and diabetes. The objective of this study was to estimate the effect of the social factors on oral health and use of dental care for people with diabetes from the Health and Social Protection Survey 2008 (ESPS) and to compare it with that observed among non-diabetic people. MethodsThe ESPS is a representative survey of the French population. In 2008, data were derived from a self-administered health questionnaire given to all household members aged 16 or older. The scope of this study was restricted to persons aged 35 and over (12.082) having filled out their health survey (8961). Diabetes was defined from self-reports of disease or use of anti-diabetic medication. Oral health was estimated from perceived oral health and the number of missing teeth not replaced. Use of dental care was measured by self-report of a visit within the last two years. Socio-demographic and social coverage indicators were collected. ResultsThe participation rate was 74.1% and prevalence of diabetes was 7.2% (648). People with diabetes had a poorer dental status (42.7% vs 26.5% – OR=1.22, 95% CI [1.01–1.47]), related to social characteristics. The effect of level of precariousness on dental health was equivalent in diabetic and non-diabetic populations. The use of dental care (73.4% of participants) was associated with social factors. Diabetics were less likely to consult dentists than non-diabetics (61.5% vs 74.4%), but this difference was not statistically significant (OR=0.86, 95%CI [0.72–1.04]). The effect of the level of precariousness on use of dental care was the same in both populations. ConclusionThis study raises the question of the impact of recommendations on monitoring dental health among diabetics especially for vulnerable populations despite better management and coverage.

Familial pulmonary fibrosis is the strongest risk factor for idiopathic pulmonary fibrosis

Idiopathic pulmonary fibrosis (IPF) is a lethal lung disorder of unknown etiology. The disease is likely the result of complex interactions between genetic and environmental factors. Evidence suggests that certain environmental factors, such as cigarette smoking and metal dust exposures, or comorbidities like gastroesophageal reflux, and type 2 diabetes mellitus (DM2) may increase risk to develop IPF. Substantial uncertainty remains, however, regarding these and other putative risk factors for IPF. In this study we performed a case-control analysis including 100 patients with IPF and 263 controls matched for age sex and place of residence. We used a structured questionnaire to identify potential risk factors for IPF, including environmental and occupational exposures as well as the relevance of family history of pulmonary fibrosis. The multivariate analysis revealed that family history of pulmonary fibrosis [OR = 6.1, CI95% 2.3-15.9; p < 0.0001] was strongly associated with increased risk of IPF. Actually, 20% of the cases reported a parent or sibling with pulmonary fibrosis. Gastroesophageal reflux [OR = 2.9, CI: 1.3-6.6; p = 0.007], former cigarette smoking [OR = 2.5, CI: 1.4-4.6, p = 0.003], and past or current occupational exposure to dusts, smokes, gases or chemicals [OR = 2.8, CI: 1.5-5.5; p = 0.002] were also associated with the disease. Despite being a significant risk factor on univariate analysis DM2 was not significant in multivariate analysis. These findings indicate that family history of pulmonary fibrosis is a strong risk factor for IPF. Also, we confirmed that occupational exposures, gastroesophageal reflux and former smoking increase the risk for this disease.

Patients' Self-report of Diseases in the Medicare Health Outcomes Survey Based on Comparisons With Linked Survey and Medical Data From the Veterans Health Administration

We evaluated the patient self-report questions about disease from the Medicare Health Outcomes Survey (HOS), using linked Veterans Health Administration (VA) data for patients who are eligible for both Medicare and Veterans Affairs (VA) care to estimate their utility as measures of illness burden. Patients were classified for 12 diseases on the basis of HOS question responses and these were compared with classifications based on similar questions from a VA survey or diagnostic codes from VA medical records. Agreement between classifications based on the 2 surveys was good with over 75% of patients affirming the disease in the HOS also affirming it in the VA survey for most diseases. HOS disease status also agreed well with VA-based disease status using diagnostic codes for most diseases, with reasonably good specificity (70%-94%) and sensitivity (65%-85%). The relatively poor measures of agreement for some of the conditions could be related to differences in question wording and other factors. These findings varied only slightly by education, age, and race. Furthermore, independent decrements in health status, derived from the SF-36 associated with each disease based on the survey questions, were similar in the 2 surveys. These results suggest that patients can provide reasonably good reports of their morbidity in survey questions and that patient self-report questions about disease can be used reliably in case-mix adjustments and in stratifications of patients by diseases.

Long-term physical functioning in persons with knee osteoarthritis from NHANES I: Effects of comorbid medical conditions

This study examined the effects of comorbid medical conditions (heart disease, pulmonary disease, hypertension and obesity) on the association of radiographic knee osteoarthritis (OA) with long-term difficulty in physical function. Data are from the National Health and Nutrition Examination Survey, 1971–1975 (NHANES I), a prospective epidemiologic cohort study, and the NHANES Epidemiologic Follow-up Study, 1982–1984 (NHEFS) and included 4059 persons who were 45–74 years old and participated in the detailed examination component of NHANES I. Knee OA was ascertained by anterior-posterior bilateral radiographs of the knee and self-report of knee pain, heart and pulmonary disease by self report of disease or symptoms, and hypertension and obesity by blood pressure and weight measurements. The presence of symptomatic knee OA at NHANES I was associated with reported difficulty at NHEFS 1982–1984 in functions which used the lower extremity (ambulation and transfer). The presence of coexistent chronic conditions, particularly heart disease, pulmonary disease and obesity, increased the likelihood of subsequent disability. These findings suggest that knee OA is associated with long-term physical disability, and that the presence of coexistent chronic disease may increase the amount of long-term disability from knee OA.

Prevalence of Cardiovascular Diseases among Older Adults

The Cardiovascular Health Study is a population-based longitudinal study of 5,201 adults aged 65 years and older. Prevalences of myocardial infarction, angina pectoris, congestive heart failure, peripheral artery disease, stroke, and transient ischemic attack were ascertained between June 1989 and May 1990 in participants recruited from Forsyth County, North Carolina; Washington County, Maryland; Sacramento County, California; and Pittsburgh, Pennsylvania. A medical history was taken to obtain self-reports of prevalent disease. For all participants, use of nitrates was ascertained to document angina, electrocardiograms were used to document prevalent myocardial infarction, and ankle-arm blood pressure studies were used to document peripheral artery disease. Self-reports of disease that were not confirmed by examination findings were further investigated by examination of medical records. Reported disease that was confirmed by examination findings or by medical records was classified as "definite." Disease that was documented by examination, but not reported by the participant, was classified as "unreported." The prevalence rates of definite myocardial infarction and angina were 11% and 15%, respectively, among men aged 65-69 years, 18% and 17% among men aged 80-84 years, 4% and 8% among women aged 65-69 years, and 3% and 13% among women aged 80-84 years. Twenty-three percent of men and 38% of women with electrocardiographic evidence of myocardial infarction did not report it. These results suggest that prevalent disease estimates based only on self-report may underestimate the prevalence of cardiovascular diseases in older Americans.