The National Health and Nutrition Examination Survey (NHANES), 2021-2022: Adapting Data Collection in a COVID-19 Environment.

The National Health and Nutrition Examination Survey (NHANES) is a unique source of national data on the health and nutritional status of the US population, collecting data through interviews, standard exams, and biospecimen collection. Because of the COVID-19 pandemic, NHANES data collection was suspended, with more than a year gap in data collection. NHANES resumed operations in 2021 with the NHANES 2021-2022 survey, which will monitor the health and nutritional status of the nation while adding to the knowledge of COVID-19 in the US population. This article describes the reshaping of the NHANES program and, specifically, the planning of NHANES 2021-2022 for data collection during the COVID-19 pandemic. Details are provided on how NHANES transformed its participant recruitment and data collection plans at home and at the mobile examination center to safely collect data in a COVID-19 environment. The potential implications for data users are also discussed. (Am J Public Health. 2021;111(12):2149-2156. https://doi.org/10.2105/AJPH.2021.306517).

Screening for Pregnancy Status in a Population-Based Sample: Characteristics Associated with Item Nonresponse.

OBJECTIVES: Population-based recruitment of a cohort of women who are currently pregnant or who may become pregnant in a given timeframe presents challenges unique to identifying pregnancy status or the likelihood of future pregnancy. Little is known about the performance of individual eligibility items on pregnancy screeners although they are critical to participant recruitment. This paper examined the patterns and respondent characteristics of key pregnancy screener items used in a large national study. METHODS: Cross-sectional analyses were conducted. Descriptive statistics and multivariable logistic regression models were used to examine nonresponse patterns to three questions (currently pregnant, trying to get pregnant and able to get pregnant). The questions were asked of 50,529 women in 17 locations across the US, as part of eligibility screening for the National Children's Study Vanguard Study household-based recruitment. RESULTS: Most respondents were willing to provide information about current pregnancy, trying, and able to get pregnant: 99.3% of respondents answered all three questions and 97.4% provided meaningful answers. Nonresponse ranged from 0.3 to 2.5% for individual items. Multivariable logistic regression results identified small but statistically significant differences in nonresponse by respondent age, marital status, race/ethnicity-language, and household-based recruitment group. CONCLUSIONS FOR PRACTICE: The high levels of response to pregnancy-related items are impressive considering that the eligibility questions were fairly sensitive, were administered at households, and were not part of a respondent-initiated encounter.

Plan and Operations of the National Health and Nutrition Examination Survey, August 2021-August 2023.

The continuous National Health and Nutrition Examination Survey began data collection in 1999 and proceeded without interruption until operations were suspended in March 2020 in response to the COVID-19 pandemic. Once the Division of Health and Nutrition Examination Surveys was able to determine and resume safe field operations, the next survey cycle was conducted between August 2021 and August 2023. This report describes the survey content, procedures, and methodologies implemented in the August 2021-August 2023 National Health and Nutrition Examination Survey cycle.

Comparability of in-person and web screening: Does mode affect what households report?

Household screening is common when information about characteristics of household members is needed for selection of survey respondents. When key characteristics have a low prevalence, or are oversampled, this can result in a large number of sampled households screened, many of which have no persons selected. For in-person surveys this can be inefficient and costly, especially in an environment of declining response. A multimode design using a mail, push-to-web approach is an attractive alternative due to lower cost and high internet penetration. However, little is known about the comparable data quality properties between in-person and web modes. While in-person screening is considered a gold standard approach, respondents may fail to report household members and interviewers may unintentionally screen out reluctant respondents. Similarly, those self-responding sometimes fail to report unrelated household members or young children. In this study we compared in-person and web screening in the National Health and Nutrition Examination Survey. Households were randomly selected to complete a self-administered web screener and subsequently be screened by an interviewer during an in-person visit. We report on the comparability of household characteristics between modes to determine if web screening provides data equivalent to in-person screening. We examine time between the web and in-person screening to see if true change can account for differences. In the presence of conflicting data, we examine selection criteria based on the screening responses to see how inaccuracies affect selection status, or if inaccuracies or person omissions are systematically related to a specific mode. Approximately 93% (80/86) of households agreed on selection status between the web and in-person modes. Household composition matched fully for 84% (72/86) of households. These results indicate that web screening is a viable option enumerating households in population surveys.

Differences in Hypertension and Stage II Hypertension by Demographic and Risk Factors, Obtained by Two Different Protocols in US Adults: National Health and Nutrition Examination Survey, 2017-2018.

BACKGROUND: To compare prevalence of hypertension and stage II hypertension assessed by 2 blood pressure (BP) observation protocols. METHODS: Participants aged 18 years and older (n = 4,689) in the National Health and Nutrition Examination Survey (NHANES 2017-2018) had their BP measured following 2 protocols: the legacy auscultation protocol (AP) and oscillometric protocol (OP). The order of protocols was randomly assigned. Prevalence estimates for hypertension (BP ≥130/80 mm Hg or use of medication for hypertension) and stage II hypertension (BP ≥140/90 mm Hg) were determined overall, by demographics, and by risk factors for each protocol. Ratios (OP% ÷ AP%) and kappa statistics were calculated. RESULTS: Age-adjusted hypertension prevalence was 44.5% (95% confidence interval [CI]: 41.1%-48.0%) using OP and 45.1% (95% CI: 41.5%-48.7%) using AP, prevalence ratio = 0.99 (95% CI = 0.94-1.04). Age-adjusted stage II hypertension prevalence was 15.8% (95% CI: 13.6%-18.2%) using AP and 17.1% (95% CI: 14.7%-19.7%) using OP, prevalence ratio = 0.92 (95% CI = 0.81-1.04). For both hypertension and stage II hypertension, the prevalence ratios by demographics and by risk factors all included unity in their 95% CI, except for stage II hypertension in adults 60+ years (ratio: 0.88 [95% CI: 0.78-0.98]). Kappa for agreement between protocols for hypertension and stage II hypertension was 0.75 (95% CI = 0.71-0.79) and 0.67 (95% CI = 0.61-0.72), respectively. CONCLUSIONS: In adults and for nearly all subcategories there were no significant differences in prevalence of hypertension and stage II hypertension between protocols, indicating that protocol change may not affect the national prevalence estimates of hypertension and stage II hypertension.

The Unique Challenge of Articulating the Behavior Analysts' Ethical Obligations and the Case of Punishment.

There is a long-standing debate about the place for technical versus colloquial language in applied behavior analysis; however, this debate has yet to be considered within the context of a professional code of ethics for applied behavior analysts. In this article we discuss the limitations of technical language in articulating the applied behavior analyst's ethical commitments, illustrating this point by considering the use of the term punishment in the Professional and Ethical Compliance Code for Behavior Analysts (Behavior Analyst Certification Board, 2016). The ethical concerns regarding the use of punishment may be more accurately stated in terms of the need to avoid techniques that cause pain or discomfort rather than techniques that meet the technical definition of punishment. In summary, more consideration should be given to the use of subjective terminology in behavior analysts' ethical discussions.

Sustaining quality improvement in community health centers: perceptions of leaders and staff.

The Health Disparities Collaboratives are the largest national quality improvement (QI) initiatives in community health centers. This article identifies the incentives and assistance personnel believe are necessary to sustain QI. In 2004, 1006 survey respondents (response rate 67%) at 165 centers cited lack of resources, time, and staff burnout as common barriers. Release time was the most desired personal incentive. The highest funding priorities were direct patient care services (44% ranked no. 1), data entry (34%), and staff time for QI (26%). Participants also needed help with patient self-management (73%), information systems (77%), and getting providers to follow guidelines (64%).

The perceived financial impact of quality improvement efforts in community health centers.

We administered surveys to 100 chief executive officers (CEOs) of community health centers to determine their perceptions of the financial impact of the Health Disparities Collaboratives, a national quality improvement initiative. One third of the CEOs believed that the HDC had a negative financial impact on their health center, and this perception was significantly correlated with centers having a higher proportion of uninsured patients. Performance-based payment incentives may improve care but may also add new financial burdens to facilities that treat the uninsured population. As such, a provider's payer mix may need to be considered in the design of QI programs if they are to be sustainable.

Predicting changes in staff morale and burnout at community health centers participating in the health disparities collaboratives.

OBJECTIVE: To identify predictors of changes in staff morale and burnout associated with participation in a quality improvement (QI) initiative at community health centers (HCs). DATA SOURCES: Surveys of staff at 145 HCs participating in the Health Disparities Collaboratives (HDC) program in 2004. DATA COLLECTION AND STUDY DESIGN: Self-administered questionnaire data collected from 622 HC staff (68 percent response rate) were analyzed to identify predictors of reported change in staff morale and burnout. Predictive categories included outcomes of the QI initiative, levels of HDC integration, institutional support, the use of incentives, and demographic characteristics of respondents and centers. PRINCIPAL FINDINGS: Perceived improvements in staff morale and reduced likelihood of staff burnout were associated with receiving personal recognition, career promotion, and skill development opportunities. Similar outcomes were associated with sufficient funding and personnel, fair distribution of work, effective training of new hires, and consistent provider participation. CONCLUSIONS: Having sufficient personnel available to administer the HDC was found to be the strongest predictor of team member satisfaction. However, a number of low-cost, reasonably modifiable, organizational and leadership characteristics were also identified, which may facilitate improvements in staff morale and reduce the likelihood of staff burnout at HCs participating in the HDC.

Smoking cessation interventions in U.S. racial/ethnic minority populations: an assessment of the literature.

BACKGROUND: Smoking prevalence rates in some ethnic minority groups are elevated relative to the majority population. Thus, identifying cessation interventions that are effective for these groups is important. This article reviews published studies that examine effects of smoking cessation interventions relevant to racial ethnic minority populations. METHODS: A literature search of tobacco interventions, reporting smoking cessation outcomes (including quit rates) in U.S. minority populations, was conducted for the period 1985 to 2001. RESULTS: Thirty-six studies met preset criteria for inclusion. Twenty-three reported quit rates for African Americans, 4 for Asian/Pacific Islanders, 3 for Native Americans, and 10 for Hispanics. CONCLUSIONS: The disproportionate number of studies that focused on African American smokers compared with the other major racial/ethnic groups suggests the need for continued efforts to develop and evaluate the effectiveness of smoking cessation interventions for all ethnic minority populations. Abstinence rates varied considerably depending on study design and intervention strategy. Moreover, a relatively small percentage of studies that were randomized trials reported statistically significant findings, and most used intervention strategies that do not reflect the current state-of-the-art. These results strongly suggest that more research is needed to identify successful smoking cessation interventions in these populations.