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1.
J Community Health ; 48(4): 678-686, 2023 Aug.
Article in English | MEDLINE | ID: covidwho-2289050

ABSTRACT

Human papillomavirus (HPV) vaccine uptake among adolescents remains suboptimal in the US. The COVID-19 pandemic posed new challenges to increase HPV vaccination rates. To characterize parent-reported barriers to obtain HPV vaccination for their children and to identify psychosocial factors associated with parents' intention to vaccinate their children for HPV, we administered parent surveys between April 2020 and January 2022 during a randomized pragmatic trial assessing the impact of evidence-based implementation strategies on HPV vaccination rates for adolescent patients at six Mayo Clinic primary care practices in Southeast Minnesota. A total of 342 surveys were completed (response rate 34.1%). Analyses were focused on parents of unvaccinated children (n = 133). The survey assessed the main reason the child did not receive the HPV vaccine, parental beliefs about the vaccine, and the parent's intention to vaccinate the child for HPV in the next 12 months. Frequently reported awareness and access barriers to HPV vaccination included not knowing the child was due (17.8%) and COVID-19 related delay (11.6%). Frequently reported attitudinal barriers include the belief that the child was too young for the vaccine (17.8%) and that the vaccine is not proven to be safe (16.3%). Injunctive social norm (Adjusted-OR = 3.15, 95%CI: 1.94, 5.41) and perceived harm beliefs (Adjusted-OR = 0.58, 95%CI: 0.35, 0.94) about the HPV vaccine were positively and negatively associated with HPV vaccination intention, respectively. Our findings suggest that continued efforts to overcome parental awareness, access, and attitudinal barriers to HPV vaccination are needed and underscore the importance of utilizing evidence-based health system-level interventions.


Subject(s)
COVID-19 , Papillomavirus Infections , Papillomavirus Vaccines , Adolescent , Humans , Child , Minnesota , Intention , Papillomavirus Infections/prevention & control , Pandemics , Health Knowledge, Attitudes, Practice , COVID-19/epidemiology , COVID-19/prevention & control , Parents/psychology , Vaccination , Surveys and Questionnaires , Papillomavirus Vaccines/therapeutic use , Primary Health Care , Patient Acceptance of Health Care
2.
Mayo Clin Proc Innov Qual Outcomes ; 6(6): 605-617, 2022 Dec.
Article in English | MEDLINE | ID: covidwho-2131838

ABSTRACT

Objective: To estimate rates and identify factors associated with asymptomatic COVID-19 in the population of Olmsted County during the prevaccination era. Patients and Methods: We screened first responders (n=191) and Olmsted County employees (n=564) for antibodies to SARS-CoV-2 from November 1, 2020 to February 28, 2021 to estimate seroprevalence and asymptomatic infection. Second, we retrieved all polymerase chain reaction (PCR)-confirmed COVID-19 diagnoses in Olmsted County from March 2020 through January 2021, abstracted symptom information, estimated rates of asymptomatic infection and examined related factors. Results: Twenty (10.5%; 95% CI, 6.9%-15.6%) first responders and 38 (6.7%; 95% CI, 5.0%-9.1%) county employees had positive antibodies; an additional 5 (2.6%) and 10 (1.8%) had prior positive PCR tests per self-report or medical record, but no antibodies detected. Of persons with symptom information, 4 of 20 (20%; 95% CI, 3.0%-37.0%) first responders and 10 of 39 (26%; 95% CI, 12.6%-40.0%) county employees were asymptomatic. Of 6020 positive PCR tests in Olmsted County with symptom information between March 1, 2020, and January 31, 2021, 6% (n=385; 95% CI, 5.8%-7.1%) were asymptomatic. Factors associated with asymptomatic disease included age (0-18 years [odds ratio {OR}, 2.3; 95% CI, 1.7-3.1] and >65 years [OR, 1.40; 95% CI, 1.0-2.0] compared with ages 19-44 years), body mass index (overweight [OR, 0.58; 95% CI, 0.44-0.77] or obese [OR, 0.48; 95% CI, 0.57-0.62] compared with normal or underweight) and tests after November 20, 2020 ([OR, 1.35; 95% CI, 1.13-1.71] compared with prior dates). Conclusion: Asymptomatic rates in Olmsted County before COVID-19 vaccine rollout ranged from 6% to 25%, and younger age, normal weight, and later tests dates were associated with asymptomatic infection.

3.
Mayo Clinic proceedings. Innovations, quality & outcomes ; 2022.
Article in English | EuropePMC | ID: covidwho-2073911

ABSTRACT

Objective To estimate rates and identify factors associated with asymptomatic COVID-19 in the population of Olmsted County during the pre-vaccination era. Patients and Methods We screened first responders (N=191) and Olmsted County employees (N=564) for antibodies to SARS-CoV-2 from November 2020 to February 2021 to estimate seroprevalence and asymptomatic infection. Second, we retrieved all PCR confirmed COVID-19 diagnoses in Olmsted County from March 2020 through January 2021, ed symptom information, estimated rates of asymptomatic infection and examined related factors. Results Twenty (10.5%;95%CI: 6.9%-15.6%) first responders and thirty-eight (6.7%;95% CI: 5.0%-9.1%) county employees had positive antibodies;an additional 5 (2.6%) and 10 (1.8%) had prior positive PCR tests per self-report or medical record, but no antibodies detected. Of persons with symptom information, 4/20, (20%, 95% CI: 3.0%-37.0%) of first responders and 10/39 (26%, 95% CI: 12.6%-40.0%) county employees, were asymptomatic. Of 6,020 positive PCR tests in Olmsted County with symptom information between March 1, 2020, and January 31, 2021, 6% (n=385;95% CI: 5.8%-7.1%) were asymptomatic. Factors associated with asymptomatic disease included age [0-18 years (OR=2.3, 95% CI: 1.7-3.1) and 65+ years (OR=1.40, 95% CI: 1.0-2.0) compared to ages 19-44 years], body-mass-index [overweight OR=0.58, 95% CI: 0.44-0.77) or obese (OR=0.48, 95% CI: 0.57-0.62) compared to normal or underweight] and tests after November 20, 2020 [(OR=1.35;95% CI: 1.13-1.71) compared to prior dates]. Conclusion Asymptomatic rates in Olmsted County prior to vaccine rollout ranged from 6-25%, and younger age, normal weight, and later tests dates were associated with asymptomatic infection.

4.
Contemp Clin Trials Commun ; 30: 101016, 2022 Dec.
Article in English | MEDLINE | ID: covidwho-2068846

ABSTRACT

Objectives: Alaska Native (AN) people experience twice the rate of colorectal cancer (CRC) as US Whites. There is a need for increased screening and early detection. We describe the development and implementation of a randomized controlled trial of the multi-target stool DNA test (mt-sDNA; Cologuard® Exact Sciences, Madison WI) to increase CRC screening among AN people. Methods: A total of 32 rural/remote AN communities were randomized to a varied intensity intervention (patient navigation vs mailed health education) compared to 14 communities receiving usual opportunistic care. Outcome measures include screening completion and method used (mt-sDNA vs colonoscopy). Health care provider interviews and AN patient focus groups will be used to assess patient-, provider-, and system-level CRC screening promoters and barriers. Results: The study began in April 2020 during the COVID-19 pandemic, resulting in a number of challenges and study adaptations. These included difficulty finding laboratory space, lack of timely mail service due to flight reductions across the state, and travel restrictions that led to postponement of in-person focus groups. Videoconferencing platforms for Tribal engagement replaced face-to-face interactions. After an extensive search, a laboratory with space available was identified and the preprocessing laboratory established. Study staff will work closely with patients to monitor mail service to get mt-sDNA kits sent on time. We are also exploring the use of videoconferencing platforms as alternatives to in-person focus groups. Conclusions: Despite the challenges encountered during the COVID-19 pandemic, we successfully initiated the intervention and established the first mt-sDNA preprocessing laboratory in Alaska.

6.
Mayo Clin Proc ; 96(10): 2528-2539, 2021 10.
Article in English | MEDLINE | ID: covidwho-1294052

ABSTRACT

OBJECTIVE: To identify risk factors associated with severe COVID-19 infection in a defined Midwestern US population overall and within different age groups. PATIENTS AND METHODS: We used the Rochester Epidemiology Project research infrastructure to identify persons residing in a defined 27-county Midwestern region who had positive results on polymerase chain reaction tests for COVID-19 between March 1, 2020, and September 30, 2020 (N=9928). Age, sex, race, ethnicity, body mass index, smoking status, and 44 chronic disease categories were considered as possible risk factors for severe infection. Severe infection was defined as hospitalization or death caused by COVID-19. Associations between risk factors and severe infection were estimated using Cox proportional hazard models overall and within 3 age groups (0 to 44, 45 to 64, and 65+ years). RESULTS: Overall, 474 (4.8%) persons developed severe COVID-19 infection. Older age, male sex, non-White race, Hispanic ethnicity, obesity, and a higher number of chronic conditions were associated with increased risk of severe infection. After adjustment, 36 chronic disease categories were significantly associated with severe infection. The risk of severe infection varied significantly across age groups. In particular, persons 0 to 44 years of age with cancer, chronic neurologic disorders, hematologic disorders, ischemic heart disease, and other endocrine disorders had a greater than 3-fold increased risk of severe infection compared with persons of the same age without those conditions. Associations were attenuated in older age groups. CONCLUSION: Older persons are more likely to experience severe infections; however, severe cases occur in younger persons as well. Our data provide insight regarding younger persons at especially high risk of severe COVID-19 infection.


Subject(s)
COVID-19/epidemiology , Health Status Disparities , Severity of Illness Index , Adolescent , Adult , Age Factors , Aged , Aged, 80 and over , Child , Child, Preschool , Chronic Disease/epidemiology , Comorbidity , Ethnicity , Humans , Infant , Male , Middle Aged , Midwestern United States , Risk Factors , Young Adult
7.
Mayo Clin Proc ; 96(3): 699-707, 2021 03.
Article in English | MEDLINE | ID: covidwho-1002867

ABSTRACT

The success of vaccination programs is contingent upon irrefutable scientific safety data combined with high rates of public acceptance and population coverage. Vaccine hesitancy, characterized by lack of confidence in vaccination and/or complacency about vaccination that may lead to delay or refusal of vaccination despite the availability of services, threatens to undermine the success of coronavirus disease 2019 (COVID-19) vaccination programs. The rapid pace of vaccine development, misinformation in popular and social media, the polarized sociopolitical environment, and the inherent complexities of large-scale vaccination efforts may undermine vaccination confidence and increase complacency about COVID-19 vaccination. Although the experience of recent lethal surges of COVID-19 infections has underscored the value of COVID-19 vaccines, ensuring population uptake of COVID-19 vaccination will require application of multilevel, evidence-based strategies to influence behavior change and address vaccine hesitancy. Recent survey research evaluating public attitudes in the United States toward the COVID-19 vaccine reveals substantial vaccine hesitancy. Building upon efforts at the policy and community level to ensure population access to COVID-19 vaccination, a strong health care system response is critical to address vaccine hesitancy. Drawing on the evidence base in social, behavioral, communication, and implementation science, we review, summarize, and encourage use of interpersonal, individual-level, and organizational interventions within clinical organizations to address this critical gap and improve population adoption of COVID-19 vaccination.


Subject(s)
COVID-19 Vaccines/pharmacology , COVID-19/prevention & control , Health Knowledge, Attitudes, Practice , Patient Acceptance of Health Care , SARS-CoV-2/immunology , Social Media , Vaccination/statistics & numerical data , COVID-19/epidemiology , Humans , Pandemics
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