The Influence of Respondent Characteristics on the Validity of Self‐Reported Survey Responses

Guerard, Barbara; Omachonu, Vincent K.; Harvey, Raymond A.; Hernandez, S. Robert; Sen, Bisakha

doi:10.1111/1475-6773.12356

Cited by 14 publications

(6 citation statements)

References 31 publications

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“…A study determining the agreement between self-reported and diagnosis-based multimorbidity in older community dwelling women reported similar findings, where agreement was found to decrease with decreasing cognition and education, increasing age, and four or more diseases [ 22 ]. Multiple chronic conditions and polypharmacy have also been shown to negatively affect cognitive recall [ 55 ]. In addition, patients with chronic disease often experience co-morbidities such as mental health conditions and psychosocial difficulties (e.g.…”

Section: Discussionmentioning

confidence: 99%

Agreement between self-reported morbidity and pharmacy claims data for prescribed medications in an older community based population

et al. 2020

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Background Studies have indicated variability around prevalence estimates of multimorbidity due to poor consensus regarding its definition and measurement. Medication-based measures of morbidity may be valuable resources in the primary-care setting where access to medical data can be limited. We compare the agreement between patient self-reported and medication-based morbidity; and examine potential patient-level predictors of discordance between these two measures of morbidity in an older (≥ 50 years) community-based population. Methods A retrospective cohort study was performed using national pharmacy claims data linked to The Irish LongituDinal study on Ageing (TILDA). Morbidity was measured by patient self-report (TILDA) and two medication-based measures, the Rx-Risk (< 65 years) and Rx-Risk-V (≥65 years), which classify drug claims into chronic disease classes. The kappa statistic measured agreement between self-reported and medication-based morbidity at the individual patient-level. Multivariate logistic regression was used to examine patient-level characteristics associated with discordance between measures of morbidity. Results Two thousand nine hundred twenty-five patients were included (< 65 years: N = 1095, 37.44%; and ≥ 65 years: N = 1830 62.56%). Hypertension and high cholesterol were the most prevalent self-reported morbidities in both age cohorts. Agreement was good or very good (κ = 0.61–0.81) for diabetes, osteoporosis and glaucoma; and moderate for high cholesterol, asthma, Parkinson’s and angina (κ = 0.44–0.56). All other conditions had fair or poor agreement. Age, gender, marital status, education, poor-delayed recall, depression and polypharmacy were significantly associated with discordance between morbidity measures. Conclusions Most conditions achieved only moderate or fair agreement between self-reported and medication-based morbidity. In order to improve the accuracy in prevalence estimates of multimorbidity, multiple measures of multimorbidity may be necessary. Future research should update the current Rx-Risk algorithms in-line with current treatment guidelines, and re-assess the feasibility of using these indices alone, or in combination with other methods, to yield more accurate estimates of multimorbidity.

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Section: Discussionmentioning

confidence: 99%

Agreement between self-reported morbidity and pharmacy claims data for prescribed medications in an older community based population

et al. 2020

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“…We address two aspects of misclassification: self‐reported prescription drug use, and lack of specificity of prescription drug exposure. With respect to the former, misclassification is more likely to involve underreporting of prescription drug use overall, with evidence for underreporting of analgesics and sedatives, increased underreporting of all prescription drugs with increased age and number of dispensed prescriptions, but reduced underreporting with increased numbers of chronic conditions …”

Section: Discussionmentioning

confidence: 99%

“…With respect to the former, misclassification is more likely to involve underreporting of prescription drug use overall, with evidence for underreporting of analgesics and sedatives, 38 increased underreporting of all prescription drugs with increased age and number of dispensed prescriptions, but reduced underreporting with increased numbers of chronic conditions. 39 Lack of specificity of prescription drug exposures is implicit in the HRS questions about prescription drug use for pain or sleep. Multiple prescription and over-thecounter therapeutics are available to treat chronic pain and insomnia, 40,41 and we have no specific information (chemical entity, class, or brand) on primary (or concomitant) analgesic or sedative prescription (or over-the-counter) drugs from the core interview.…”

Section: Discussionmentioning

confidence: 99%

Self‐Reported Prescription Drug Use for Pain and for Sleep and Incident Frailty

Cil

Park

Bergen

2019

J American Geriatrics Society

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OBJECTIVES We aimed to estimate incident frailty risks of prescription drugs for pain and for sleep in older US adults. DESIGN Longitudinal cohort. SETTING Health and Retirement Study. PARTICIPANTS Community‐living respondents aged 65 years and older, excluding individuals who received recent treatment for cancer (N = 14 208). Our longitudinal analysis sample included respondents who were not frail at baseline and had at least one follow‐up wave with complete information on both prescription drug use and frailty, or date of death (N = 7201). MEASUREMENTS Prescription drug use for pain and sleep, sociodemographics, other drug and substance use, and Burden frailty model components. Multivariable drug use stratified hazard models with death as a competing risk evaluated frailty risks associated with co‐use and single use of prescription drugs for pain and for sleep. RESULTS Proportions endorsing prescription drug use were 22.1% for pain only, 6.8% for sleep only, and 7.7% for both indications. Burden frailty model prevalence was 41.0% and varied significantly by drug use. Among non‐frail individuals at baseline, proportions endorsing prescription drug use were 14.9%, 5.6%, and 2.2% for the three indications. Prescription drug use was associated with increased risk of frailty (co‐use adjusted subhazard ratio [sHR] = 1.95; 95% confidence interval [CI] = 1.6‐2.4; pain only adjusted sHR = 1.58; CI = 1.4‐1.8; sleep‐only adjusted sHR = 1.35; CI = 1.1‐1.6; no use = reference group). Cumulative incidence of frailty over 8 years for the four groups was 60.6%, 50.9%, 45.8%, and 34.1%. Sensitivity analyses controlling for chronic diseases associated with persistent pain resulted in minor risk reductions. CONCLUSION Prescription pain and sleep drug use is significantly associated with increased incidence of frailty. Research to estimate effects of pain and sleep indications and of drug class–specific dosage and duration on incident frailty is indicated before advocating deprescribing based on these findings. J Am Geriatr Soc 67:2474–2481, 2019

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“…Self-reporting by the elderly on prescription medications and chronic conditions has not been shown to align with medical claims data. 45 Unmeasured confounders may have been a factor in this study. The sample was not weighted to be representative of the US general population, and this study is limited due to the disproportionate subsamples by sex and race.…”

Section: Discussionmentioning

confidence: 90%

Lipophilic Antioxidants and Cognitive Function in the Elderly

Niemchick

Riemersma

Lasker

2020

Nutr Metab Insights

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Objective: To determine the relationship between blood serum lipophilic antioxidant levels and cognitive function (CF) in older adults aged 60 and above guided by the oxidative stress theory of aging. Methods: Cross-sectional data from the National Health and Nutrition Examination Survey ( n = 291) for older adults aged 60 and above were examined using Pearson correlation coefficient and multiple linear regression to determine whether blood serum antioxidant status predicted CF while controlling for age, sex, race, hypertension, smoking status, and body mass index. Results: Alpha-tocopherol, retinyl palmitate, trans-lycopene, and retinyl stearate were all significantly correlated with CF. After controlling for covariates, α-tocopherol and retinyl palmitate were associated with CF. Age, sex, and current smoking status were significant predictors of CF. Conclusions: The benefits of antioxidants in CF may be a part of nutritional recommendations which include α-tocopherol and retinyl palmitate for delay of CI, and subsequently a better quality of life.

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The Influence of Respondent Characteristics on the Validity of Self‐Reported Survey Responses

Abstract: Self-reported number of chronic conditions and prescription medications are not in high concordance with claims data. Health care researchers and policy makers using patient self-reported data should be aware of these potential biases.

Cited by 14 publications

References 31 publications

Agreement between self-reported morbidity and pharmacy claims data for prescribed medications in an older community based population

Agreement between self-reported morbidity and pharmacy claims data for prescribed medications in an older community based population

Self‐Reported Prescription Drug Use for Pain and for Sleep and Incident Frailty

Lipophilic Antioxidants and Cognitive Function in the Elderly

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