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1.
PLoS One ; 19(4): e0300175, 2024.
Article En | MEDLINE | ID: mdl-38603766

Timely case notifications following the introduction of an uncommon pathogen, such as mpox, are critical for understanding disease transmission and for developing and implementing effective mitigation strategies. When Massachusetts public health officials notified the Centers for Disease Control and Prevention (CDC) about a confirmed orthopoxvirus case on May 17, 2023, which was later confirmed as mpox at CDC, mpox was not a nationally notifiable disease. Because existing processes for new data collections through the National Notifiable Disease Surveillance System were not well suited for implementation during emergency responses at the time of the mpox outbreak, several interim notification approaches were established to capture case data. These interim approaches were successful in generating daily case counts, monitoring disease transmission, and identifying high-risk populations. However, the approaches also required several data collection approvals by the federal government and the Council for State and Territorial Epidemiologists, the use of four different case report forms, and the establishment of complex data management and validation processes involving data element mapping and record-level de-duplication steps. We summarize lessons learned from these interim approaches to inform and improve case notifications during future outbreaks. These lessons reinforce CDC's Data Modernization Initiative to work in close collaboration with state, territorial, and local public health departments to strengthen case-based surveillance prior to the next public health emergency.


Mpox (monkeypox) , Public Health , United States/epidemiology , Humans , Emergencies , Disease Outbreaks , Massachusetts/epidemiology , Population Surveillance
2.
Vital Health Stat 1 ; (207): 1-31, 2024 04.
Article En | MEDLINE | ID: mdl-38630839

The National Health Interview Survey (NHIS), conducted by the National Center for Health Statistics since 1957, is the principal source of information on the health of the U.S. civilian noninstitutionalized population. NHIS selects one adult (Sample Adult) and, when applicable, one child (Sample Child) randomly within a family (through 2018) or a household (2019 and forward). Sampling weights for the separate analysis of data from Sample Adults and Sample Children are provided annually by the National Center for Health Statistics. A growing interest in analysis of parent-child pair data using NHIS has been observed, which necessitated the development of appropriate analytic weights. Objective This report explains how dyad weights were created such that data users can analyze NHIS data from both Sample Children and their mothers or fathers, respectively. Methods Using data from the 2019 NHIS, adult-child pair-level sampling weights were developed by combining each pair's conditional selection probability with their household-level sampling weight. The calculated pair weights were then adjusted for pair-level nonresponse, and large sampling weights were trimmed at the 99th percentile of the derived sampling weights. Examples of analyzing parent-child pair data by means of domain estimation methods (that is, statistical analysis for subpopulations or subgroups) are included in this report. Conclusions The National Center for Health Statistics has created dyad or pair weights that can be used for studies using parent-child pairs in NHIS. This method could potentially be adapted to other surveys with similar sampling design and statistical needs.


Family Characteristics , Mothers , Adult , Female , Humans , Data Collection , Health Services Accessibility , National Center for Health Statistics, U.S. , Parent-Child Relations , Research Design , Socioeconomic Factors , United States , Male , Child
3.
MMWR Morb Mortal Wkly Rep ; 72(20): 547-552, 2023 May 19.
Article En | MEDLINE | ID: mdl-37200231

Monkeypox (mpox) is a serious viral zoonosis endemic in west and central Africa. An unprecedented global outbreak was first detected in May 2022. CDC activated its emergency outbreak response on May 23, 2022, and the outbreak was declared a Public Health Emergency of International Concern on July 23, 2022, by the World Health Organization (WHO),* and a U.S. Public Health Emergency on August 4, 2022, by the U.S. Department of Health and Human Services.† A U.S. government response was initiated, and CDC coordinated activities with the White House, the U.S. Department of Health and Human Services, and many other federal, state, and local partners. CDC quickly adapted surveillance systems, diagnostic tests, vaccines, therapeutics, grants, and communication systems originally developed for U.S. smallpox preparedness and other infectious diseases to fit the unique needs of the outbreak. In 1 year, more than 30,000 U.S. mpox cases were reported, more than 140,000 specimens were tested, >1.2 million doses of vaccine were administered, and more than 6,900 patients were treated with tecovirimat, an antiviral medication with activity against orthopoxviruses such as Variola virus and Monkeypox virus. Non-Hispanic Black (Black) and Hispanic or Latino (Hispanic) persons represented 33% and 31% of mpox cases, respectively; 87% of 42 fatal cases occurred in Black persons. Sexual contact among gay, bisexual, and other men who have sex with men (MSM) was rapidly identified as the primary risk for infection, resulting in profound changes in our scientific understanding of mpox clinical presentation, pathogenesis, and transmission dynamics. This report provides an overview of the first year of the response to the U.S. mpox outbreak by CDC, reviews lessons learned to improve response and future readiness, and previews continued mpox response and prevention activities as local viral transmission continues in multiple U.S. jurisdictions (Figure).


Mpox (monkeypox) , Sexual and Gender Minorities , Male , Humans , United States/epidemiology , Homosexuality, Male , Mpox (monkeypox)/epidemiology , Disease Outbreaks/prevention & control , Centers for Disease Control and Prevention, U.S.
4.
Am J Public Health ; 113(4): 408-415, 2023 04.
Article En | MEDLINE | ID: mdl-36758202

Data System. Federal health surveys, like the National Health Interview Survey (NHIS), represent important surveillance mechanisms for collecting timely, representative data that can be used to monitor the health and health care of the US population. Data Collection/Processing. Conducted by the National Center for Health Statistics (NCHS), NHIS uses an address-based, complex clustered sample of housing units, yielding data representative of the civilian noninstitutionalized US population. Survey redesigns that reduce survey length and eliminate proxy reporting may reduce respondent burden and increase participation. Such were goals in 2019, when NCHS implemented a redesigned NHIS questionnaire that also focused on topics most relevant and appropriate for surveillance of child and adult health. Data Analysis/Dissemination. Public-use microdata files and selected health estimates and detailed documentation are released online annually. Public Health Implications. Declining response rates may lead to biased estimates and weaken users' ability to make valid conclusions from the data, hindering public health efforts. The 2019 NHIS questionnaire redesign was associated with improvements in the survey's response rate, declines in respondent burden, and increases in data quality and survey relevancy. (Am J Public Health. 2023;113(4):408-415. https://doi.org/10.2105/AJPH.2022.307197).


Data Accuracy , Adult , Child , United States , Humans , Health Surveys , National Center for Health Statistics, U.S.
5.
Natl Health Stat Report ; (161): 1-9, 2021 08.
Article En | MEDLINE | ID: mdl-34546873

Objective-This report examines differences in survey reports of disability between two sets of disability questions, the Short Set on Functioning (WG-SS) developed by the Washington Group on Disability Statistics (WG) and a set of disability questions developed for the American Community Survey (ACS).


Disabled Persons , Humans , Surveys and Questionnaires , Washington/epidemiology
6.
Nicotine Tob Res ; 21(11): 1565-1572, 2019 10 26.
Article En | MEDLINE | ID: mdl-30239948

INTRODUCTION: Emerging tobacco products have become increasingly popular, and the US Food and Drug Administration extended its authority to all products meeting the definition of a tobacco product in 2016. These changes may lead to shifts in public perceptions about tobacco products and regulation, and national surveys are attempting to assess these perceptions at the population level. This article describes the item development and cognitive interviewing of the tobacco product and regulation perception items included in two tobacco-focused cycles of the Health Information National Trends Survey (HINTS-FDA), referred to as HINTS-FDA. METHODS: Cognitive interviewing was used to investigate how respondents comprehended and responded to tobacco product and regulation perception items. Adult participants (n = 20) were selected purposively to oversample current tobacco users and were interviewed in two iterative rounds. Weighted descriptive statistics from the fielded HINTS-FDA surveys (N = 5474) were also calculated. RESULTS: Items were generally interpreted as intended, and participants meaningfully discriminated between tobacco products when assessing addiction perceptions. Response selection issues involved inconsistent reporting among participants with little knowledge or ambivalent opinions about either government regulation or tobacco products and ingredients, which resolved when a "don't know" response option was included in the survey. The fielded survey found that a non-negligible proportion of the population do not have clear perceptions of emerging tobacco products or government regulation. CONCLUSIONS: A "don't know" response option is helpful for items assessing many emerging tobacco products but presents several analytic challenges that should be carefully considered. Multiple items assessing specific tobacco product and regulation perception items are warranted in future surveys. IMPLICATIONS: The findings from this study can serve as a foundation for future surveys that assess constructs related to emerging tobacco products, harm perceptions across multiple tobacco products, and tobacco-related government regulatory activities. The data provide unique insight into item-specific motivation for selecting a "don't know" response option for tobacco survey items.


Health Knowledge, Attitudes, Practice , Surveys and Questionnaires , Tobacco Products/legislation & jurisprudence , Tobacco Use Disorder/prevention & control , Government Regulation , Humans , United States
7.
J Health Commun ; 22(7): 545-553, 2017 07.
Article En | MEDLINE | ID: mdl-28557627

We conducted a nonresponse bias analysis of the Health Information National Trends Survey (HINTS) 4, Cycles 1 and 3, collected in 2011 and 2013, respectively, using three analysis methods: comparison of response rates for subgroups, comparison of estimates with weighting adjustments and external benchmarks, and level-of-effort analysis. Areas with higher concentrations of low socioeconomic status, higher concentrations of young households, and higher concentrations of minority and Hispanic populations had lower response rates. Estimates of health information seeking behavior were higher in HINTS compared to the National Health Interview Survey (NHIS). The HINTS estimate of doctors always explaining things in a way that the patient understands was not significantly different from the same estimate from the Medical Expenditure Panel Survey (MEPS); however, the HINTS estimate of health professionals always spending enough time with the patient was significantly lower than the same estimate from MEPS. A level-of-effort analysis found that those who respond later in the survey field period were less likely to have looked for information about health in the past 12 months, but found only small differences between early and late respondents for the majority of estimates examined. There is some evidence that estimates from HINTS could be biased toward finding higher levels of health information seeking.


Bias , Health Surveys , Consumer Health Information , Humans , Information Seeking Behavior , United States
8.
J Adolesc ; 34(1): 95-103, 2011 Feb.
Article En | MEDLINE | ID: mdl-20153517

Socioeconomic status (SES) is considered to be an important marker of physical, mental, and social outcomes. However, methods used to gather socioeconomic information vary widely in terms of both the indicators of SES used (e.g., education, occupation, income, etc.) and data collection strategies. In particular, studies of adolescents often rely on children's proxy reports of measures of parents' SES. There is disagreement in the literature regarding children's ability to reliably serve as proxy respondents for their parents. Using data from the National Longitudinal Study of Adolescent Health, a nationally representative sample of adolescents and their parents, we assess the accuracy of children's proxy reports of mothers' education and receipt of public assistance. Results show that accuracy of children's proxy reports varies by children's age, gender, and race; however, social class largely accounts for race differences found.


Parents , Proxy , Social Class , Adolescent , Female , Humans , Logistic Models , Longitudinal Studies , Male , Reproducibility of Results , United States
9.
J Altern Complement Med ; 15(12): 1319-25, 2009 Dec.
Article En | MEDLINE | ID: mdl-19954343

OBJECTIVES: The aim of this study was to assess the construct validity of survey questions about the use of herbal and other nonvitamin/nonmineral dietary supplements. DESIGN: We conducted one-on-one, in-depth cognitive interviews with 32 respondents to test questions from the complementary and alternative medicine (CAM) supplement for the 2007 National Health Interview Survey. Respondents were sampled purposively according to their use of CAM. Interviewers probed respondents for their understanding of the questions, and analysis was guided by grounded theory, an approach that generates explanations of response error that are closely tied to the empirical data. RESULTS: We found two sources of misinterpretation of CAM questions. First, some respondents did not have any pre-established definition of what constitutes an herbal supplement while others had interpretations that did not match the intended definitions. These problems are common to many survey questions. However, a second finding is that misinterpretation also arose when respondents incorporated notions of self-concept into the act of taking "natural herbs," and answered based on their understanding of this image rather than on actual behavior. CONCLUSIONS: There are several sources of misinterpretation of CAM questions. One of the most important sources is whether or not the respondent has created a concept of self-image that includes the use of herbal supplements. Common questionnaire design techniques such as providing definitions to respondents will not help to eliminate misinterpretation due to self-image. We found that careful question wording that does not evoke definitions of self, combined with visual aids that narrow the focus of the questions, can lead to more accurate answers.


Dietary Supplements/statistics & numerical data , Health Care Surveys/standards , Phytotherapy/statistics & numerical data , Self Concept , Self Medication , Surveys and Questionnaires/standards , Female , Health Care Surveys/methods , Herbal Medicine , Humans , Interviews as Topic , Male , Reproducibility of Results
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