Privacy, achieved through self-administered modes of interviewing, has long been assumed to be a necessary prerequisite for obtaining unbiased responses to sexual identity questions due to their potentially sensitive nature. This study uses data collected as part of a split-ballot field test embedded in the National Health Interview Survey (NHIS) to examine the association between survey mode (computer-assisted personal interviewing (CAPI) versus audio computer-assisted self-interviewing (ACASI)) and sexual minority identity reporting. Bivariate and multivariate quantitative analyses tested for differences in sexual minority identity reporting and non-response by survey mode, as well as for moderation of such differences by sociodemographic characteristics and interviewing environment. No significant main effects of interview mode on sexual minority identity reporting or nonresponse were found. Two significant mode effects emerged in subgroup analyses of sexual minority status out of 35 comparisons, and one significant mode effect emerged in subgroup analyses of item nonresponse. We conclude that asking the NHIS sexual identity question using CAPI does not result in estimates that differ systematically and meaningfully from those produced using ACASI.

Calls for remedies for the persistent scarcity of accurate, reliable, national, disaggregated health statistics on hard-to-survey populations are common, but solutions are rare. Survey strategies used in community and clinical studies of hard-to-survey populations often cannot be, and generally are not, implemented at the national level.This essay presents a set of approaches, for use in combination with traditional survey methods in large-scale surveys of these populations, to overcome challenges in 2 domains: sampling and motivating respondents to participate. The first approach consists of using the American Community Survey as a frame, and the second consists of implementing a multifaceted community engagement effort.We offer lessons learned from implementing these strategies in a national survey, some of which are relevant to all survey planners. We then present evidence of the quality of the resulting data set. If these approaches were used more widely, hard-to-survey populations could become more visible and accurately represented to those responsible for setting national priorities for health research and services. (Am J Public Health. Published online ahead of print August 15, 2019: e1-e8. doi:10.2105/AJPH.2019.305217).

INTRODUCTION: This study identifies associations between sleep outcomes and sexual orientation net of sociodemographic and health-related characteristics, and produces estimates generalizable to the US adult population. PARTICIPANTS/METHODS: We used 2013-2015 National Health Interview Survey data (46,909 men; 56,080 women) to examine sleep duration and quality among straight, gay/lesbian, and bisexual US adults. Sleep duration was measured as meeting National Sleep Foundation age-specific recommendations for hours of sleep per day. Sleep quality was measured by 4 indicators: having trouble falling asleep, having trouble staying asleep, taking medication to help fall/stay asleep (all >/=4 times in the past week), and having woken up not feeling well rested (>/=4 days in the past week). RESULTS: In the adjusted models, there were no differences by sexual orientation in the likelihood of meeting National Sleep Foundation recommendations for sleep duration. For sleep quality, gay men were more likely to have trouble falling asleep, to use medication to help fall/stay asleep, and to wake up not feeling well rested relative to both straight and bisexual men. Gay/lesbian women were more likely to have trouble staying asleep and to use medication to help fall/stay asleep relative to straight women. Finally, bisexual women were more likely to have trouble falling and staying asleep relative to straight women. CONCLUSIONS: Sexual minority women and gay men report poorer sleep quality compared with their straight counterparts.

PURPOSE: The purpose of this study was to compare the prevalence and odds of participation in online health-related activities among lesbian, gay, and bisexual adults and straight adults aged 18-64. METHODS: Primary data collected in the 2013 and 2014 National Health Interview Survey, a nationally representative household health survey, were used to examine associations between sexual orientation and four measures of health information technology (HIT) use. Data were collected through face-to-face interviews (some telephone follow-up) with 54,878 adults aged 18-64. RESULTS: Compared with straight men, both gay and bisexual men had higher odds of using computers to schedule appointments with healthcare providers, and using email to communicate with healthcare providers. Gay men also had significantly higher odds of seeking health information or participating in a health-related chat group on the Internet, and using computers to fill a prescription. No significant associations were observed between sexual orientation and HIT use among women in the multivariate analysis. CONCLUSIONS: Gay and bisexual men make greater use of HIT than their straight counterparts. Additional research is needed to determine the causal factors behind these group differences in the use of online healthcare, as well as the health implications for each group.

OBJECTIVES: To assess the extent to which lesbian, gay, and bisexual (LGB) adults aged 18 to 64 years experience barriers to health care. METHODS: We used 2013 National Health Interview Survey data on 521 gay or lesbian (291 men, 230 women), 215 bisexual (66 men, 149 women), and 25 149 straight (11 525 men, 13 624 women) adults. Five barrier-to-care outcomes were assessed (delayed or did not receive care because of cost, did not receive specific services because of cost, delayed care for noncost reasons, trouble finding a provider, and no usual source of care). RESULTS: Relative to straight adults, gay or lesbian and bisexual adults had higher odds of delaying or not receiving care because of cost. Bisexual adults had higher odds of delaying care for noncost reasons, and gay men had higher odds than straight men of reporting trouble finding a provider. By contrast, gay or lesbian women had lower odds of delaying care for noncost reasons than straight women. Bisexual women had higher odds than gay or lesbian women of reporting 3 of the 5 barriers investigated. CONCLUSIONS: Members of sexual minority groups, especially bisexual women, are more likely to encounter barriers to care than their straight counterparts.

INTRODUCTION: Research is needed on chronic health conditions among lesbian, gay, and bisexual populations. The objective of this study was to examine 10 diagnosed chronic conditions, and multiple (≥2) chronic conditions (MCC), by sexual orientation among US adults. METHODS: The 2013 National Health Interview Survey was used to generate age-adjusted prevalence rates and adjusted odds ratios of diagnosed chronic conditions and MCC for civilian, noninstitutionalized US adults who identified as gay/lesbian, straight, or bisexual, and separately for men and women. Chronic conditions were selected for this study on the basis of previous research. RESULTS: Hypertension and arthritis were the most prevalent conditions for all groups. Gay/lesbian adults had a 4.7 percentage-point higher prevalence of cancer than bisexual adults, and a 5.6 percentage-point higher prevalence of arthritis and a 2.9 percentage point higher prevalence of hepatitis than straight adults. The prevalence of chronic obstructive pulmonary disease was 8.1 percentage points higher among bisexual adults than among gay/lesbian adults and 7.0 percentage points higher than among straight adults. These differences remained in the multivariate analyses. Additional differences were found in the sex-stratified analyses. No significant differences were found in MCC by sexual orientation. CONCLUSION: After age adjustment and controlling for sociodemographic characteristics, only a few significant health disparities for diagnosed chronic conditions were found by sexual orientation, and none for MCC. However, for conditions where differences were found, magnitudes were relatively large. Further examination of these differences among gay/lesbian and bisexual adults could yield a better understanding of why these disparities exist.

BACKGROUND: The Health Measures at Home Study was a study designed to evaluate the feasibility of incorporating dried blood spots (DBS) collection into the National Health Interview Survey and to compare the proficiencies between field interviewers and health technicians in obtaining DBS. METHODS: DBS collection and venipuncture were attempted on 125 participants. The DBS were collected in the participant's home and venous blood was collected in the National Health and Nutrition Examination Survey (NHANES) mobile examination center. The DBS results were compared to venous results in the NHANES for the measurements of hemoglobin A1c (HbA1c) and total and high-density lipoprotein (HDL) cholesterol. RESULTS: Field interviewers and health technicians were able to collect the DBS for greater than 95% of participants. For DBS, health technicians and field interviewers were highly correlated for HbA1c (r=0.92) and total cholesterol (r=0.89), but not for HDL cholesterol (r=0.72). The DBS results of interviewers and health technicians compared to the venous method for HbA1c (r=0.90), but did not compare well for HDL cholesterol (r=0.64-0.66) and total cholesterol (r=0.65-0.67). CONCLUSION: DBS was comparable to venous HbA1c, but not for total and HDL cholesterol. Health technicians and field interviewers had similar performance for DBS methods, except HDL cholesterol.