Evaluating Survey Quality in Health Services Research: A Decision Framework for Assessing Nonresponse Bias

Halbesleben, Jonathon R. B.; Whitman, Marilyn V.

doi:10.1111/1475-6773.12002

Cited by 259 publications

(247 citation statements)

References 37 publications

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“…However, recent reviews of the survey methodology literature suggest that among probability samples conducted with a standardized process that adheres to typical survey methodology standards (as in the present study), response rates are only weakly associated with nonresponse bias and may not be a strong indicator of survey data quality. [36][37][38][39] These limitations notwithstanding, the current analyses fill several key gaps in the literature. First, ours is the first community-based probability sample study to examine the relationship between several domains of sleep and key indicators of QOL in a large, representative sample of women with IC/BPS symptoms.…”

Section: Discussionmentioning

confidence: 99%

Sleep Disturbances and Nocturnal Symptoms: Relationships with Quality of Life in a Population-Based Sample of Women with Interstitial Cystitis/Bladder Pain Syndrome

Troxel

Booth

Buysse

et al. 2014

Journal of Clinical Sleep Medicine

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Study Objectives: To characterize the nature and impact of sleep disturbances on quality of life (QOL) in women with interstitial cystitis/bladder pain syndrome (IC/BPS). Methods: Participants were 3,397 women from a telephone probability survey who met IC/BPS symptom criteria. Sleep quality, duration, and IC/BPS nocturnal symptoms (i.e., trouble sleeping due to bladder pain, urgency, or needing to use the bathroom), general QOL (mental and physical health and sexual functioning), and IC/BPS QOL impairment were assessed via self-report during telephone interview. Results: Over half of the sample reported poor sleep quality, sleep duration ≤ 6 hours, or trouble sleeping due to IC/BPS symptoms. After covariate adjustment, short sleep duration was signifi cantly associated with greater IC/BPS QOL impairment (β = -0.04; p < 0.001) and poorer self-reported physical health (β = 1.86; p < 0.001). Poor sleep quality was signifi cantly associated with greater IC/BPS QOL impairment (β = 0.06; p < 0.001), poorer self-reported physical health (β = -2.86; p < 0.001), and greater sexual dysfunction (β = -0.04; p < 0.05).IC/BPS nocturnal symptoms were signifi cantly associated with greater IC/BPS impairment (β = 0.14; p < 0.001), poorer physical health (β = -2.76; p < 0.001) and mental health (β = 0.52; p < 0.01), and greater sexual dysfunction (β = -0.10; p < 0.001), after covariate adjustment. After further adjustment for IC/BPS nocturnal symptoms, we found that poor sleep quality and short sleep duration were independent correlates of poor self-reported physical health. Conclusions: Poor sleep quality and short sleep duration, as well as disorder-specifi c sleep disturbances, are highly prevalent in women with IC/BPS and are associated with poorer disease-specifi c and general QOL. S C I E N T I F I C I N V E S T I G A T I O N SI nterstitial cystitis (IC)/ bladder pain syndrome (BPS) is a chronic pain syndrome which disproportionately affects women and is characterized by symptoms of urinary urgency and frequency, pelvic pain, and nocturia.1 The etiology and pathophysiology of IC/BPS are currently unknown; however, prevailing theories implicate chronic or subclinical infection, autoimmunity, neurogenic infl ammation, or bladder urothelial defects (i.e., epithelial lining of the urinary tract) as potential mechanisms. 2In the absence of known or measurable pathophysiological biomarkers, the clinical diagnosis of IC/BPS is based on patient-reported symptoms, and many cases remain undiagnosed. For instance, in the RAND Interstitial Cystitis Epidemiology (RICE) Study (from which the current data are drawn), a nationally representative population survey, up to 6.5% of US women reported experiencing IC/BPS symptoms according to established case criteria, but less than 10% of these women had an IC/BPS diagnosis.3 Adding to the diagnostic uncertainty is the considerable symptom overlap and comorbidity between IC/BPS and other chronic pain conditions, such as fi bromyalgia, chronic fatigue syndrome, and irritable bowel syndrome (IB...

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Section: Discussionmentioning

confidence: 99%

Sleep Disturbances and Nocturnal Symptoms: Relationships with Quality of Life in a Population-Based Sample of Women with Interstitial Cystitis/Bladder Pain Syndrome

Troxel

Booth

Buysse

et al. 2014

Journal of Clinical Sleep Medicine

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“…To date, there is no validated method to measure the influence of nonresponse bias on the representativeness of study results. 34,36 However, nonresponse analyses can provide some insight into the likely direction of a possible nonresponse bias. 34 All nonresponse analyses performed by the individual studies suggested that recruited participants were similar or healthier in comparison to nonparticipants.…”

Section: Heterogeneity In Study Populationsmentioning

confidence: 99%

CKD Prevalence Varies across the European General Population

Brück

Stel

Gambaro

et al. 2015

JASN

437

325

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CKD prevalence estimation is central to CKD management and prevention planning at the population level. This study estimated CKD prevalence in the European adult general population and investigated international variation in CKD prevalence by age, sex, and presence of diabetes, hypertension, and obesity. We collected data from 19 general-population studies from 13 European countries. CKD stages 1-5 was defined as eGFR,60 ml/min per 1.73 m 2 , as calculated by the CKD-Epidemiology Collaboration equation, or albuminuria .30 mg/g, and CKD stages 3-5 was defined as eGFR,60 ml/min per 1.73 m 2 .CKD prevalence was age-and sex-standardized to the population of the 27 Member States of the European Union (EU27). We found considerable differences in both CKD stages 1-5 and CKD stages 3-5 prevalence across European study populations. The adjusted CKD stages 1-5 prevalence varied between 3.31% (95% confidence interval [95% CI], 3.30% to 3.33%) in Norway and 17.3% (95% CI, 16.5% to 18.1%) in northeast Germany. The adjusted CKD stages 3-5 prevalence varied between 1.0% (95% CI, 0.7% to 1.3%) in central Italy and 5.9% (95% CI, 5.2% to 6.6%) in northeast Germany. The variation in CKD prevalence stratified by diabetes, hypertension, and obesity status followed the same pattern as the overall prevalence. In conclusion, this large-scale attempt to carefully characterize CKD prevalence in Europe identified substantial variation in CKD prevalence that appears to be due to factors other than the prevalence of diabetes, hypertension, and obesity.

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“…On the other hand, if some service members were unhappy about the way DoD and the Coast Guard handled some specific aspect of health or health care (e.g., quality of mental health treatment) and wanted a mechanism to provide feedback, the results could possibly underestimate the health of the force. Some research suggests that passive nonresponders-that is, those individuals who want to participate but simply forget to complete the survey, cannot access it because of technical problems, or miss the deadline because of competing demands-are more closely aligned with responders than those who actively ignore survey requests (Halbesleben and Whitman, 2013). Nonresponse bias is a common problem in survey research (Brick and Williams, 2013;Halbesleben and Whitman, 2013;Sax, Gilmartin, and Bryant, 2003), and as noted earlier, we took the available steps to remedy this potential problem.…”

Section: Limitationsmentioning

confidence: 99%

“…Some research suggests that passive nonresponders-that is, those individuals who want to participate but simply forget to complete the survey, cannot access it because of technical problems, or miss the deadline because of competing demands-are more closely aligned with responders than those who actively ignore survey requests (Halbesleben and Whitman, 2013). Nonresponse bias is a common problem in survey research (Brick and Williams, 2013;Halbesleben and Whitman, 2013;Sax, Gilmartin, and Bryant, 2003), and as noted earlier, we took the available steps to remedy this potential problem. Nonetheless, because it is not possible to identify nonrespondents in an anonymous survey, the ability to address nonresponse bias and reasons for nonresponse are limited.…”

Section: Limitationsmentioning

confidence: 99%

2015 Department of Defense Health Related Behaviors Survey (HRBS)

Meadows¹,

Engel²,

Collins³

et al. 2018

155

165

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This document and trademark(s) contained herein are protected by law. This representation of RAND intellectual property is provided for noncommercial use only. Unauthorized posting of this publication online is prohibited. Permission is given to duplicate this document for personal use only, as long as it is unaltered and complete. Permission is required from RAND to reproduce, or reuse in another form, any of its research documents for commercial use. For information on reprint and linking permissions, please visit www.rand.org/pubs/permissions.The RAND Corporation is a research organization that develops solutions to public policy challenges to help make communities throughout the world safer and more secure, healthier and more prosperous. RAND is nonprofit, nonpartisan, and committed to the public interest.RAND's publications do not necessarily reflect the opinions of its research clients and sponsors.Support RAND Make a tax-deductible charitable contribution at www.rand.org/giving/contribute www.rand.org Library of Congress Cataloging-in-Publication Data For more information on this publication, visit www.rand.org/t/RR1695Published by the RAND Corporation, Santa Monica, Calif. © Copyright 2018 RAND CorporationR® is a registered trademark. Cover photo credits from top to bottom:Photo by Cpl PrefaceThe Health Related Behaviors Survey (HRBS) is the U.S. Department of Defense's flagship survey for understanding the health, health-related behaviors, and well-being of service members. Originally implemented to assess substance use (i.e., illicit drugs, alcohol, and tobacco), the survey now includes content areas-such as mental and physical health, sexual behavior, and postdeployment problems-that may affect force readiness or the ability to meet the demands of military life. The HRBS is intended to supplement administrative data already collected by the armed forces. In 2014, the Defense Health Agency asked the RAND Corporation to review previous iterations of the HRBS, update survey content, administer a revised version of the survey, and analyze data from the resulting 2015 HRBS of active-duty personnel. The 2015 HRBS included U.S. Air Force, Army, Marine Corps, Navy, and Coast Guard personnel, and this report details the survey methodology and results. No expertise in health, health-related behaviors, or health care is required to read this report. However, it may be of most use to individuals who provide direct care related to the health and health-related behaviors of active-duty service members or who are responsible for making related policy decisions. Additional information can be found in a series of online appendixes.This research was sponsored by the Defense Health Agency and conducted within the Forces and Resources Policy Center of the RAND National Defense Research Institute, a federally funded research and development center sponsored by the Office of the Secretary of Defense, the Joint Staff, the Unified Combatant Commands, the Navy, the Marine Corps, the defense agencies, and the defense Intelli...

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Evaluating Survey Quality in Health Services Research: A Decision Framework for Assessing Nonresponse Bias

Cited by 259 publications

References 37 publications

Sleep Disturbances and Nocturnal Symptoms: Relationships with Quality of Life in a Population-Based Sample of Women with Interstitial Cystitis/Bladder Pain Syndrome

Sleep Disturbances and Nocturnal Symptoms: Relationships with Quality of Life in a Population-Based Sample of Women with Interstitial Cystitis/Bladder Pain Syndrome

CKD Prevalence Varies across the European General Population

2015 Department of Defense Health Related Behaviors Survey (HRBS)

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