HPV vaccine recommendations by age: A survey of providers in federally qualified health centers.

Clinician recommendation remains a critical factor in improving HPV vaccine uptake. Clinicians practicing in federally qualified health centers were surveyed between October 2021 and July 2022. Clinicians were asked how they recommended HPV vaccination for patients aged 9-10, 11-12, 13-18, 19-26, and 27-45 y (strongly recommend, offer but do not recommend strongly, discuss only if the patient initiates the conversation, or recommend against). Descriptive statistics were assessed, and exact binomial logistic regression analyses were utilized to examine factors associated with HPV vaccination recommendation in 9-10-y-old patients. Respondents (n = 148) were primarily female (85%), between the ages of 30-39 (38%), white, non-Hispanic (62%), advanced practice providers (55%), family medicine specialty (70%), and practicing in the Northeast (63%). Strong recommendations for HPV vaccination varied by age: 65% strongly recommended for ages 9-10, 94% for ages 11-12, 96% for ages 13-18, 82% for age 19-26, and 26% for ages 27-45 y. Compared to Women's Health/OBGYN specialty, family medicine clinicians were less likely to recommend HPV vaccination at ages 9-10 (p = .03). Approximately two-thirds of clinicians practicing in federally qualified health centers or safety net settings strongly recommend HPV vaccine series initiation at ages 9-10. Additional research is needed to improve recommendations in younger age groups.

Factors associated with parental COVID-19 vaccine attitudes and intentions among a national sample of United States adults ages 18-45.

PURPOSE: This study explored factors associated with parents' attitudes and intentions to seek information about the COVID-19 vaccine for their children (ages 0-18) and intentions to vaccinate their age-eligible children. DESIGN AND METHODS: As part of an anonymous online cross-sectional survey, parents' vaccine attitudes, COVID-19 vaccine intentions for their children, health literacy, health numeracy, and sociodemographic variables were assessed. Multivariable ordered logistic regression models identified factors associated with parents' COVID-19 vaccine intentions for their children. RESULTS: Parents/guardians (n = 963) were mostly White (82.3%), insured (88.0%), and college graduates (57.3%). Men reported higher intentions than women to seek information about the COVID-19 vaccine for their children (p = 0.003) and higher intentions to vaccinate their children (p = 0.049). Parental characteristics associated with increased intentions to have their children vaccinated included higher educational attainment (p < 0.001), more positive general vaccine attitudes (p < 0.001), preference for health information in a language other than English (p = 0.006), higher income (p = 0.048), having health insurance (p = 0.05), health literacy (p = 0.024), and health numeracy (p = 0.049). CONCLUSIONS: Multiple sociodemographic characteristics including male gender, higher health literacy and numeracy, and language preference are noteworthy factors associated with parental COVID-19 vaccine intentions that could inform the planning and implementation of educational interventions. PRACTICE IMPLICATIONS: Nurses are important sources of trusted information and play an important role in parent/family health education and in understanding myriad factors that may improve attitudes and enhance readiness toward vaccine uptake. Our findings emphasize the potential value of examining tailored/targeted COVID-19 vaccine education according to key influencing factors.

Impact of the COVID-19 Pandemic on Women's Health Care Access: A Cross-Sectional Study.

Background: There has been limited study of how the COVID-19 pandemic has affected women's health care access. Our study aims to examine the prevalence and correlates of COVID-19-related disruptions to (1) primary care; (2) gynecologic care; and (3) preventive health care among women. Materials and Methods: We recruited 4,000 participants from a probability-based online panel. We conducted four multinomial logistic regression models, one for each of the study outcomes: (1) primary care access; (2) gynecologic care access; (3) patient-initiated disruptions to preventive visits; and (4) provider-initiated disruptions to preventive visits. Results: The sample included 1,285 women. One in four women (28.5%) reported that the pandemic affected their primary care access. Sexual minority women (SMW) (odds ratios [OR]: 1.67; 95% confidence intervals [CI]: 1.19-2.33) had higher odds of reporting pandemic-related effects on primary care access compared to women identifying as heterosexual. Cancer survivors (OR: 2.07; 95% CI: 1.25-3.42) had higher odds of reporting pandemic-related effects on primary care access compared to women without a cancer history. About 16% of women reported that the pandemic affected their gynecologic care access. Women with a cancer history (OR: 2.34; 95% CI: 1.35-4.08) had higher odds of reporting pandemic-related effects on gynecologic care compared to women without a cancer history. SMW were more likely to report patient- and provider-initiated delays in preventive health care. Other factors that affected health care access included income, insurance status, and having a usual source of care. Conclusions: The COVID-19 pandemic disrupted women's health care access and disproportionately affected access among SMW and women with a cancer history, suggesting that targeted interventions may be needed to ensure adequate health care access during the COVID-19 pandemic.

Characteristics associated with healthcare disruptions during the COVID-19 pandemic for women in the United States at high risk for breast cancer.

Delays in healthcare, including breast cancer screening, were documented during the coronavirus disease 2019 (COVID-19) pandemic. However, no studies have examined the impact of COVID-19 on healthcare among women at high (≥20 % lifetime) risk for breast cancer. This study fills that gap. Between August 2020 and January 2021, high-risk women (N = 225) living in the United States (US) completed an online survey assessing COVID-related healthcare disruptions. Descriptive statistics characterized the frequency of breast cancer screening (mammogram and breast magnetic resonance imaging [MRI]) since the beginning of the COVID-19 pandemic. Multivariable linear regression analysis with backward selection examined demographic characteristics associated with COVID-related healthcare disruptions. Since March 2020, 40 % of participants had received a mammogram and 12 % had received a screening breast MRI. On average, participants reported low levels of COVID-related healthcare disruptions (M = 1.97 on a 0-4 scale, higher = more disruptions). Participants who were younger (ß = -0.21, p = 0.002) and not working (ß = 0.18, p = 0.009) reported more COVID-related healthcare disruptions. Compared to non-Hispanic White participants, those from any other racial or ethnic group reported fewer COVID-related healthcare disruptions (ß = -0.15, p = 0.020). Although few high-risk women received breast cancer screening after the declaration of the COVID-19 pandemic, they reported overall low levels of COVID-related healthcare disruptions. Results identify subgroups of high-risk women whose healthcare may have been more affected by the pandemic. Efforts to encourage US women at high risk for breast cancer to return to routine preventive care (including breast cancer screening) may need to be targeted towards women who are younger, not working, and non-Hispanic White.

Strategies and Lessons Learned During Cleaning of Data From Research Panel Participants: Cross-sectional Web-Based Health Behavior Survey Study.

BACKGROUND: The use of web-based methods to collect population-based health behavior data has burgeoned over the past two decades. Researchers have used web-based platforms and research panels to study a myriad of topics. Data cleaning prior to statistical analysis of web-based survey data is an important step for data integrity. However, the data cleaning processes used by research teams are often not reported. OBJECTIVE: The objectives of this manuscript are to describe the use of a systematic approach to clean the data collected via a web-based platform from panelists and to share lessons learned with other research teams to promote high-quality data cleaning process improvements. METHODS: Data for this web-based survey study were collected from a research panel that is available for scientific and marketing research. Participants (N=4000) were panelists recruited either directly or through verified partners of the research panel, were aged 18 to 45 years, were living in the United States, had proficiency in the English language, and had access to the internet. Eligible participants completed a health behavior survey via Qualtrics. Informed by recommendations from the literature, our interdisciplinary research team developed and implemented a systematic and sequential plan to inform data cleaning processes. This included the following: (1) reviewing survey completion speed, (2) identifying consecutive responses, (3) identifying cases with contradictory responses, and (4) assessing the quality of open-ended responses. Implementation of these strategies is described in detail, and the Checklist for E-Survey Data Integrity is offered as a tool for other investigators. RESULTS: Data cleaning procedures resulted in the removal of 1278 out of 4000 (31.95%) response records, which failed one or more data quality checks. First, approximately one-sixth of records (n=648, 16.20%) were removed because respondents completed the survey unrealistically quickly (ie, <10 minutes). Next, 7.30% (n=292) of records were removed because they contained evidence of consecutive responses. A total of 4.68% (n=187) of records were subsequently removed due to instances of conflicting responses. Finally, a total of 3.78% (n=151) of records were removed due to poor-quality open-ended responses. Thus, after these data cleaning steps, the final sample contained 2722 responses, representing 68.05% of the original sample. CONCLUSIONS: Examining data integrity and promoting transparency of data cleaning reporting is imperative for web-based survey research. Ensuring a high quality of data both prior to and following data collection is important. Our systematic approach helped eliminate records flagged as being of questionable quality. Data cleaning and management procedures should be reported more frequently, and systematic approaches should be adopted as standards of good practice in this type of research.

COVID-19 vaccine behaviors and intentions among a national sample of United States adults ages 18-45.

BACKGROUND: Vaccination for SARS-CoV-2, the virus that causes COVID-19 illness, is an important public health tool to reduce hospitalizations and deaths. PURPOSE: This report focuses on intentions and behaviors related to COVID-19 vaccination among United States (U.S.) adults ages 18-45. METHODS: From February 25-March 24, 2021, we conducted an online survey assessing COVID-19 vaccine intentions and behaviors, health beliefs, vaccine attitudes, and sociodemographic characteristics. Participants were adults aged 18-45, living throughout the U.S. with oversampling in Florida, panelists of a research panel company directly or via verified partners, and able to read, write, and understand English. Associations between COVID-19 vaccination uptake, intentions, and other study variables were examined through multivariable logistic and proportional odds regression analyses. RESULTS: Among participants in the final analytic sample (n = 2722), 18% reported having received at least one dose of a COVID-19 vaccine. Approximately 31% of unvaccinated participants reported strong intentions to receive a COVID-19 vaccine in the next year, whereas 35% reported strong intentions to receive a COVID-19 vaccine if it were strongly recommended by a healthcare provider. All COVID-19 vaccination outcomes were associated with male gender, sexual minority status, higher levels of education, and previous influenza vaccination. All vaccination intention outcomes were associated with vaccine attitudes and geographic region. Vaccination status and intentions were differentially associated with multiple additional sociodemographic, attitudinal, and/or healthcare experience variables. CONCLUSIONS: Several demographic variables, vaccine attitudes, and healthcare experiences were found to contribute to COVID-19 vaccine receipt and intentions. Targeted efforts are necessary to increase uptake of the vaccine in the U.S.