| Literature DB >> 33647533 |
SarahAnn M McFadden1, Linda K Ko2, Megha Shankar3, Anisa Ibrahim4, Debra Berliner5, John Lin6, Farah B Mohamed7, Fanaye Amsalu8, Ahmed A Ali9, Sou Hyun Jang10, Rachel L Winer11.
Abstract
OBJECTIVE: To develop and evaluate an online continuing education (CE) course designed to improve healthcare provider self-efficacy to make strong adolescent HPV vaccine recommendations to East African immigrant families.Entities:
Keywords: Continuing education; East African; HPV vaccine; Immigrant families; Provider recommendation; Self-efficacy
Year: 2021 PMID: 33647533 PMCID: PMC7944093 DOI: 10.1016/j.tvr.2021.200214
Source DB: PubMed Journal: Tumour Virus Res ISSN: 2666-6790
Mapping table for provider CE course content.
| CE Course Section | Topic |
|---|---|
| Understand the burden of HPV infection and disease | The burden of HPV infection and disease, focused on HPV infection, types, and associated cancers. |
| HPV vaccine information | Details about HPV vaccines available in the United States, including recommended ages for administration and variations in the dosing schedule by age at administration. |
| East African demographic and cultural context | Basic demographic information and background on East African immigrant populations in the Seattle metropolitan area, norms that may be shared among the three East African communities (Somali, Ethiopian, and Eritrean), and an explanation of cultural humility and how it is different than cultural competence. |
| Talking to parents about HPV Vaccines | Introduced the Recommend, Ask, Acknowledge, Advise Framework. |
| Common concerns about the HPV vaccine | Recommendations for how to advise parents about common HPV vaccine concerns, including concerns frequently voiced by the Somali, Eritrean, and Ethiopian mothers in our focus groups. |
Demographic characteristics of healthcare providers who participated in the evaluation of an online CE course on strategies for making strong recommendations to East African patients and parents about HPV vaccine (N = 202).
| n | % | |
|---|---|---|
| Health care role | ||
| Physician | 78 | 38.6 |
| Nurse Practitioner | 16 | 7.9 |
| Physician Assistant | 4 | 2.0 |
| Registered Nurse | 29 | 14.4 |
| Licensed Practical Nurse | 5 | 2.5 |
| Medical Assistant | 70 | 34.7 |
| Time in current role (years) | ||
| <5 | 102 | 50.5 |
| 5–9 | 46 | 22.8 |
| 10–14 | 23 | 11.4 |
| 15–19 | 9 | 4.5 |
| 20+ | 22 | 10.9 |
| Gender | ||
| Male | 27 | 13.4 |
| Female | 174 | 86.1 |
| Other | 1 | 0.5 |
| Hispanic ethnicity | ||
| Yes | 20 | 9.9 |
| No | 182 | 90.1 |
| Race | ||
| White | 110 | 54.5 |
| Black | 11 | 5.5 |
| Asian | 49 | 24.3 |
| Pacific Islander | 3 | 1.5 |
| Other | 29 | 14.4 |
| Specialty | ||
| Pediatrics | 53 | 26.2 |
| Obstetrics | 5 | 2.5 |
| Family Medicine | 126 | 62.4 |
| Internal Medicine | 3 | 1.5 |
| Other | 10 | 5.0 |
| N/A | 5 | 2.5 |
| Number of adolescent patients per week | ||
| 1-9 | 98 | 48.5 |
| 10-24 | 75 | 37.1 |
| 25-49 | 22 | 10.9 |
| 50+ | 7 | 3.5 |
A not applicable option was provided because medical assistants and nurses do not have a specialty associated with their license. However, many may have selected the specialty in which they are actively practicing.
Proportion of correct and incorrect responses to HPV knowledge questions immediately before and after participating in the online CE course (N = 202).
| Mean % Difference in Correct Responses | |||||
|---|---|---|---|---|---|
| n | % | n | % | ||
| Correct (True) | 179 | 88.6 | 196 | 97.0 | 8.4*** |
| Incorrect (False/Don't know) | 23 | 11.4 | 6 | 3.0 | |
| Correct (False) | 164 | 81.2 | 188 | 93.1 | 11.9*** |
| Incorrect (True/Don't know) | 38 | 18.8 | 14 | 6.9 | |
| Correct (True) | 188 | 93.1 | 200 | 99.0 | 5.9** |
| Incorrect (False/Don't | 14 | 6.9 | 2 | 1.0 | |
| Correct – A process of openness, self-awareness, and self-reflection after interacting with patients from diverse backgrounds. | 102 | 50.5 | 125 | 61.9 | 11.4** |
| Incorrect – Bringing cultural awareness, sensitivity, knowledge, and skill to your interactions with patients from diverse backgrounds. | 88 | 43.6 | 71 | 35.2 | |
| Incorrect – Helping people from diverse backgrounds understand current western medical standards. | 6 | 3.0 | 4 | 2.0 | |
| Incorrect – None of the above | 6 | 3.0 | 2 | 1.0 | |
McNemar's tests were used for statistical analysis. *p < 0.05, **p < 0.01, ***p < 0.001.
Provider responses to questions about HPV vaccination conversations with East African patients immediately before and after participating in the online CE course (N = 202).
| Mean Likert Score | Mean Likert Score | Mean Difference in Likert scores | |||||
|---|---|---|---|---|---|---|---|
| n | % | n | % | ||||
| Strongly Agree | 29 | 14.4 | 3.4 | 104 | 51.5 | 4.4 | 0.9*** |
| Agree | 80 | 39.6 | 82 | 40.6 | |||
| Neutral | 51 | 25.3 | 4 | 2.0 | |||
| Disagree | 35 | 17.3 | 9 | 4.5 | |||
| Strongly Disagree | 7 | 3.5 | 3 | 1.5 | |||
| Strongly Agree | 29 | 14.5 | 3.5 | 111 | 55.5 | 4.4 | 0.9*** |
| Agree | 80 | 40.0 | 68 | 34.0 | |||
| Neutral | 54 | 27.0 | 10 | 5.0 | |||
| Disagree | 31 | 15.5 | 8 | 4.0 | |||
| Strongly Disagree | 6 | 3.0 | 3 | 1.5 | |||
| Strongly Agree | 38 | 19.0 | 3.7 | 116 | 58.0 | 4.4 | 0.7*** |
| Agree | 97 | 48.5 | 67 | 33.5 | |||
| Neutral | 37 | 18.5 | 9 | 4.5 | |||
| Disagree | 23 | 11.5 | 6 | 3.0 | |||
| Strongly Disagree | 5 | 2.5 | 2 | 1.0 | |||
| Strongly Agree | 28 | 14.0 | 3.1 | 121 | 60.5 | 4.4 | 1.3*** |
| Agree | 47 | 23.5 | 58 | 29.0 | |||
| Neutral | 57 | 28.5 | 10 | 5.0 | |||
| Disagree | 58 | 29.0 | 9 | 4.5 | |||
| Strongly Disagree | 10 | 5.0 | 2 | 1.0 | |||
| Strongly Agree | 48 | 23.8 | 3.8 | 125 | 61.9 | 4.6 | 0.7*** |
| Agree | 90 | 44.6 | 72 | 35.6 | |||
| Neutral | 50 | 24.8 | 3 | 1.5 | |||
| Disagree | 12 | 5.9 | 2 | 1.0 | |||
| Strongly Disagree | 2 | 1.0 | 0 | 0 | |||
Dependent t-tests were used for statistical analysis. *p < 0.05, **p < 0.01, ***p < 0.001.
Likert scale 1–5 (strongly disagree – strongly agree).
N = 200. Two subjects excluded since no response to this question.
Provider responses to questions about HPV vaccination conversations with East African patients immediately before and two months after participating in the online CE course (N = 158a).
| Mean Difference in Likert Scores | ||||||||
|---|---|---|---|---|---|---|---|---|
| N | % | N | % | |||||
| Very Likely | 87 | 55.8 | 4.3 | 120 | 76.9 | 4.7 | 0.4*** | |
| Likely | 44 | 28.2 | 30 | 19.2 | ||||
| Neutral | 16 | 10.3 | 5 | 3.2 | ||||
| Unlikely | 7 | 4.5 | 0 | 0 | ||||
| Very Unlikely | 2 | 1.3 | 1 | 0.6 | ||||
| Always | 114 | 73.1 | 4.5 | 125 | 80.1 | 4.7 | 0.2* | |
| Often | 25 | 16.0 | 18 | 11.5 | ||||
| Sometimes | 7 | 4.5 | 10 | 6.4 | ||||
| Rarely | 6 | 3.9 | 1 | 0.6 | ||||
| Never | 4 | 2.6 | 2 | 1.3 | ||||
| Strongly Agree | 18 | 11.4 | 3.4 | 90 | 57.0 | 4.5 | 1.1*** | |
| Agree | 66 | 41.8 | 61 | 38.6 | ||||
| Neutral | 42 | 26.6 | 6 | 3.8 | ||||
| Disagree | 29 | 18.4 | 1 | 0.6 | ||||
| Strongly Disagree | 3 | 1.9 | 0 | 0 | ||||
| Strongly Agree | 20 | 12.7 | 3.4 | 92 | 58.2 | 4.5 | 1.1*** | |
| Agree | 63 | 39.9 | 56 | 35.4 | ||||
| Neutral | 47 | 29.8 | 9 | 5.7 | ||||
| Disagree | 24 | 15.2 | 1 | 0.6 | ||||
| Strongly Disagree | 4 | 2.5 | 0 | 0 | ||||
| Strongly Agree | 26 | 16.5 | 3.7 | 97 | 61.4 | 4.6 | 0.9*** | |
| Agree | 80 | 50.6 | 57 | 36.1 | ||||
| Neutral | 30 | 19.0 | 4 | 2.5 | ||||
| Disagree | 18 | 11.4 | 0 | 0 | ||||
| Strongly Disagree | 4 | 2.5 | 0 | 0 | ||||
| Strongly Agree | 19 | 12.0 | 3.1 | 89 | 56.3 | 4.5 | 1.4*** | |
| Agree | 37 | 23.4 | 61 | 38.6 | ||||
| Neutral | 47 | 29.8 | 7 | 4.4 | ||||
| Disagree | 46 | 29.1 | 1 | 0.6 | ||||
| Strongly Disagree | 9 | 5.7 | 0 | 0 | ||||
| Strongly Agree | 35 | 22.2 | 3.9 | 105 | 66.5 | 4.6 | 0.8*** | |
| Agree | 76 | 48.1 | 48 | 30.4 | ||||
| Neutral | 36 | 22.8 | 5 | 3.2 | ||||
| Disagree | 11 | 7.0 | 0 | 0 | ||||
| Strongly Disagree | 0 | 0 | 0 | 0 | ||||
Dependent t-tests were used for statistical analysis. *p < 0.05, **p < 0.01, ***p < 0.001.
Likert scale 1 – 5 (strongly disagree – strongly agree).
Sample restricted to include providers who participated in the two-month follow-up.
N = 156. Two subjects excluded since no response to this question.
Participant responses to questions about HPV vaccination conversations with East African patients immediately before and after participating in the online CE course, stratified by provider role and specialty (N = 202).
| Pre-Test Mean Likert Score | Post-Test | Mean Difference in Likert scores | ||
|---|---|---|---|---|
| Provider type | ||||
| Practitioner (n = 98) | 3.4 | 4.6 | 1.2*** | |
| Staff (n = 104) | 3.5 | 4.2 | 0.7*** | |
| Specialty | ||||
| Pediatrics (n = 53) | 3.4 | 4.5 | 1.2*** | |
| Other Specialties (n = 149) | 3.5 | 4.3 | 0.8*** | |
| Provider type | ||||
| Practitioner (n = 97) | 3.6 | 4.6 | 1.1*** | |
| Staff (n = 103) | 3.4 | 4.1 | 0.7*** | |
| Specialty | ||||
| Pediatrics (n = 53) | 3.4 | 4.6 | 1.2*** | |
| Other Specialties (n = 147) | 3.5 | 4.3 | 0.8*** | |
| Provider type | ||||
| Practitioner (n = 97) | 3.8 | 4.7 | 0.9*** | |
| Staff (n = 103) | 3.7 | 4.2 | 0.6*** | |
| Specialty | ||||
| Pediatrics (n = 53) | 3.7 | 4.7 | 1.0*** | |
| Other Specialties (n = 147) | 3.7 | 4.3 | 0.6*** | |
| Provider type | ||||
| Practitioner (n = 97) | 2.8 | 4.7 | 1.9*** | |
| Staff (n = 103) | 3.4 | 4.2 | 0.8*** | |
| Specialty | ||||
| Pediatrics (n = 53) | 2.7 | 4.7 | 2.0*** | |
| Other Specialties (n = 147) | 3.3 | 4.3 | 1.1*** | |
| Provider type | ||||
| Practitioner (n = 98) | 3.8 | 4.7 | 0.9*** | |
| Staff (n = 104) | 3.9 | 4.5 | 0.6*** | |
| Specialty | ||||
| Pediatrics (n = 53) | 3.7 | 4.8 | 1.1*** | |
| Other Specialties (n = 149) | 3.9 | 4.5 | 0.6*** | |
Dependent t-tests were used for statistical analysis. *p < 0.05, **p < 0.01, ***p < 0.001.
Practitioner = physician, nurse practitioner, and physician assistant.
Staff = registered nurse, licensed practical nurse, and medical assistant.
N = 200. Two subjects excluded since no response to this question.
Participant responses to questions about HPV vaccination conversations with East African patients immediately before and two months after participating in the online CE course, stratified by provider role and specialty (N = 158).
| Pre-Test Mean Likert Score | Two Month | Mean Difference in Likert scores | ||
|---|---|---|---|---|
| Provider type | ||||
| Practitioner (n = 76) | 4.6 | 4.9 | 0.2*** | |
| Staff (n = 80) | 4.1 | 4.6 | 0.5*** | |
| Specialty | ||||
| Pediatrics (n = 40) | 4.6 | 4.8 | 0.2* | |
| Other Specialties (n = 116) | 4.2 | 4.7 | 0.4*** | |
| Provider type | ||||
| Practitioner (n = 76) | 4.8 | 4.8 | 0.1 | |
| Staff (n = 80) | 4.3 | 4.5 | 0.2 | |
| Specialty | ||||
| Pediatrics (n = 40) | 4.7 | 4.8 | 0.1 | |
| Other Specialties (n = 116) | 4.5 | 4.6 | 0.2* | |
| Provider type | ||||
| Practitioner (n = 78) | 3.4 | 4.6 | 1.2*** | |
| Staff (n = 80) | 3.4 | 4.4 | 1.0*** | |
| Specialty | ||||
| Pediatrics (n = 42) | 3.3 | 4.6 | 1.4*** | |
| Other Specialties (n = 116) | 3.5 | 4.5 | 1.0*** | |
| Provider type | ||||
| Practitioner (n = 78) | 3.6 | 4.7 | 1.1*** | |
| Staff (n = 80) | 3.3 | 4.4 | 1.1*** | |
| Specialty | ||||
| Pediatrics (n = 42) | 3.3 | 4.7 | 1.3*** | |
| Other Specialties (n = 116) | 3.5 | 4.5 | 1.0*** | |
| Provider type | ||||
| Practitioner (n = 78) | 3.8 | 4.7 | 0.9*** | |
| Staff (n = 80) | 3.6 | 4.5 | 1.0*** | |
| Specialty | ||||
| Pediatrics (n = 42) | 3.7 | 4.7 | 1.0*** | |
| Other Specialties (n = 116) | 3.7 | 4.6 | 0.9*** | |
| Provider type | ||||
| Practitioner (n = 78) | 2.9 | 4.6 | 1.7*** | |
| Staff (n = 80) | 3.3 | 4.4 | 1.2*** | |
| Specialty | ||||
| Pediatrics (n = 42) | 2.6 | 4.6 | 2.0*** | |
| Other Specialties (n = 116) | 3.2 | 4.5 | 1.3*** | |
| Provider type | ||||
| Practitioner (n = 78) | 3.9 | 4.8 | 0.9*** | |
| Staff (n = 80) | 3.8 | 4.5 | 0.7*** | |
| Specialty | ||||
| Pediatrics (n = 42) | 3.7 | 4.8 | 1.1*** | |
| Other Specialties (n = 116) | 3.9 | 4.6 | 0.7*** | |
Dependent t-tests were used for statistical analysis. *p < 0.05, **p < 0.01, ***p < 0.001.
N = 156. Two subjects excluded since no response to this question.
Practitioner = physician, nurse practitioner, and physician assistant.
Staff = registered nurse, licensed practical nurse, and medical assistant.