| Literature DB >> 30866981 |
Patricia A Carney1, Brigit Hatch2, Isabel Stock3, Caitlin Dickinson3, Melinda Davis3, Rex Larsen4, Steele Valenzuela5, Miguel Marino2,6, Paul M Darden7, Rose Gunn3, Laura Ferrara3, Lyle J Fagnan3.
Abstract
OBJECTIVES: To test the effectiveness of a comprehensive team-based intervention to improve human papillomavirus (HPV) vaccination completion rates and reduce missed opportunities to vaccinate in rural Oregon.Entities:
Keywords: Cancer prevention social media campaigns; Cervical cancer prevention; HPV vaccination; Practice-based research network; Stepped-wedge cluster randomized trial
Mesh:
Substances:
Year: 2019 PMID: 30866981 PMCID: PMC6417191 DOI: 10.1186/s13012-019-0871-9
Source DB: PubMed Journal: Implement Sci ISSN: 1748-5908 Impact factor: 7.327
Characteristics of practice and community-based HPV interventions
Multiple strategies within or across approaches (overarching design): not necessarily evaluated separately
*Either restricted to specified group or reported findings separately for each group
Fig. 1Study design
Data collection methods, timing, and measures
| Aim 1: Data collection methods, timing, and measures | |
| Pre-site visit phone interviews—once at baseline | Organizational structure, key stakeholders, practice champion |
| Approaches to delivery of adolescent preventive care services (such as immunizations) | |
| Formal site visit—once at baseline | Baseline workflows; baseline patient data collection: eligible patient population, patient demographics, and other characteristics of the patient population; baseline immunization rates; baseline community partnership data: existing education programs and efforts and existing partnerships; use of ALERT IIS and EHR to capture and track immunizations |
| Practice survey (PS)—once at baseline | Practice and practice’s patient demographics, practice change, payer mix, revenue and payments, and HPV vaccine priority |
| ALERT IIS—at baseline | Patient demographics (age, race/ethnicity, vaccination status, insurance status, and other covariates) |
| Aim 2: Data collection methods, timing, and measures | |
| Quality Improvement Change Questionnaire (QICA)—every 12 months | Engaged leadership |
| Organized, evidence-based care; quality improvement strategy; continuous and team-based healing relationships; care coordination | |
| Site visits—monthly, for 18 months | Workflows; patient data collection: eligible patient population, patient demographics, and other characteristics of the patient population; quarterly immunization rates; quarterly community partnership data: existing education programs and efforts; existing partnerships |
| Intervention data entries—monthly | PDSA cycle worksheets, workflow mapping, field notes |
| Practice survey (PS), administered as needed to reflect change | Practice and practice’s patient demographics, practice change, payer mix, revenue and payments, HPV vaccine priority |
| ALERT IIS—quarterly | Patient demographics (age, race/ethnicity, vaccination status, insurance status, and other covariates) |
| Aim 3: Data collection methods, timing, and measures | |
| Pre- and post-community partner group interviews | Acceptability of HPV vaccination |
| Patient/parent surveys—every 6 months | Child and parents’ knowledge about cancer risk reduction and the HPV vaccine series; where and how information about HPV and cancer risk reduction via vaccination was sought; demographic information |
Fig. 2RAVE CONSORT diagram, practice eligibility—aims 1 and 2. ORH Oregon Office of Rural Health, RUCA Rural-Urban Commuting Area, LHD Local Health Department, HIS Indian Health Services, VFC Vaccines for Children program, UTD up to date on HPV immunizations
2017 HPV vaccination initiation and completion rates among rural Oregon practice (n = 53 practices)
*Vaccines for Children program subsidy
Fig. 3Differences in immunization rates between Tdap and HPV: minding the gap