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| ID | Type | Description | Link |
|---|---|---|---|
| U54GM104938-08S1 | U.S. NIH Grant/Contract | View source |
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| Name | Class |
|---|---|
| National Institutes of Health (NIH) | NIH |
| National Institute of General Medical Sciences (NIGMS) | NIH |
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The pandemic caused by the novel coronavirus, Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2), has resulted in substantial global morbidity and mortality including in Oklahoma and caused unprecedented interruptions in nearly all aspects of our lives. The population of the state of Oklahoma is at particular risk to SARS-CoV-2 due to its large rural population, strained healthcare system, and poor overall health. The Community-Engaged Approaches to Testing in Community and Healthcare Settings for Underserved Populations (CATCH-UP) program will involve both practice-based and community-based approaches to maximize the reach of the Rapid Acceleration of Diagnostics - Underserved Populations (RADx-UP) consortium, broaden the potential perspectives that could be captured, and compare the effectiveness of strategies. The interventions will be pragmatic to allow CATCH-UP to respond to changing attitudes, barriers, and environments as the pandemic progresses as well as expected technology developments to produce more effective viral testing that can provide rapid results to patients. The investigators will assist 50 small primary care practices to implement guidelines-based testing and patient education about Coronavirus Disease 2019 (COVID-19) and risk mitigation strategies. The project's community-based approach is designed to rapidly respond to community testing needs by deploying mobile testing sites that will provide operational support to increase the efficiency and the existing capacity for state-wide testing by Oklahoma's public health authorities. Together, the investigators estimate that the CATCH-UP program will result in at least 105,000 SARS-CoV-2 tests performed during the first year of implementation. A comprehensive, ongoing evaluation will be performed to analyze patient and provider attitudes, barriers and facilitators of viral testing, identified health disparities caused by COVID-19, effectiveness of the intervention in both settings, and to allow robust collaboration with other RADx-UP consortium sites.
The broad RADx-UP initiative aims to understand the factors associated with COVID-19 morbidity and mortality disparities and to lay the foundation to reduce disparities for underserved and vulnerable populations disproportionately affected by the pandemic through efforts to increase access and effectiveness of diagnostic methods. The approach used in this project will leverage the investigators' experiences in designing and implementing evidence-based interventions in primary care settings, partnerships with Native American and Latino communities, investments in the development of community- driven and responsive organizations developed primarily in rural counties, and the capacity and needs of Oklahoma's government testing and contact tracing infrastructure to develop, test, and evaluate a culturally- responsive SARS-CoV-2 testing intervention, collection of additional data on COVID-19 related health disparities, and identification of additional attitudes, facilitators, and barriers to testing and eventual vaccination.
The investigators have designed an approach that not only allows for collecting essential information about community, provider, and patient-relevant impediments to viral testing but also meeting the critical need to increase testing in testing deserts in Oklahoma as rapidly as possible. The investigators believe that a singular focus on one testing strategy will be ineffective in truly understanding the barriers to testing. No one strategy would be effective in reaching all of the population, due to issues such as lack of access to a primary care provider, lack of insurance, transportation, available time, or individual/community perceptions on testing itself (e.g., safety, necessity, availability, trust). Thus, the investigators have chosen to develop the Community-engaged Approaches to Testing in Community and Healthcare settings for Underserved Populations (CATCH-UP) program with practice-based and community-based approaches to maximize the reach of the RADx-UP consortium, broaden the potential perspectives that could be captured, and compare the effectiveness of strategies. Rather than developing an inflexible practice-based intervention a priori, the investigators believe that the ever-changing barriers, attitudes and conditions in the pandemic, as well as the development and deployment of more effective diagnostic technologies over the next few months, necessitate a pragmatic approach in which increased testing is initiated quickly while simultaneously collaborating with stakeholders and collecting participant survey data in real-time, which will allow the intervention to evolve to changing needs, and provide rapid-cycle evaluation of effectiveness of these activities to provide timely feedback to the partners and other RADx-UP initiatives.
The specific aims of the CATCH-UP Project are as follows:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Primary Care Practices | Other | A practice-based implementation study was conducted with 35 practices, with baseline data collection, and overlapping with interim measurements of care quality and process outcomes, followed by a final data collection at the end of the intervention. Patients were not direct subjects in this part of the study. The intervention targeted practices and practice members. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Dissemination and Implementation Research | Other | Dissemination and Implementation research involves assisting primary care practices to address SARS-CoV-2 testing using evidence-based practices as well as increased testing in mobile-based community settings. The D&I model also involves Practice Assessment, Academic Detailing, Practice Facilitation, Health Information Technology Support, Performance Feedback and Benchmarking, and a Virtual Learning Community. |
| Measure | Description | Time Frame |
|---|---|---|
| Change in SARS-CoV-2 Testing Rate (Practices) | Change in the proportion of patients eligible for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) testing based on screening that receive SARS-CoV-2 test. The proportion ranges between zero and one. | Baseline to 12 months |
| Change in SARS-CoV-2 Test Positivity Rate | Change in the proportion of SARS-CoV-2 test results that are positive. | Baseline to 12 months |
| Barriers to SARS-CoV-2 Testing | Number (and type) of barriers to SARS-CoV-2 testing reported by practice members based on what they experienced during practice encounters with patients during the study. | Baseline |
| Barriers to SARS-CoV-2 Testing (Practices) | Number (and type) of barriers to SARS-CoV-2 testing reported by practice members based on what they experienced during practice encounters with patients during the study. | Month 3 |
| Barriers to SARS-CoV-2 Testing (Practices) | Number (and type) of barriers to SARS-CoV-2 testing reported by practice members based on what they experienced during practice encounters with patients during the study. | Month 6 |
| Barriers to SARS-CoV-2 Testing (Practices) | Number (and type) of barriers to SARS-CoV-2 testing reported by practice members based on what they experienced during practice encounters with patients during the study. | Month 9 |
| Barriers to SARS-CoV-2 Testing (Practices) |
| Measure | Description | Time Frame |
|---|---|---|
| Change in Influenza Vaccination Rate (NQF #41) | Change in the proportion of patients aged 6 months and older who received an influenza immunization or reported receipt of an influenza immunization. Influenza Vaccination Rate was defined in alignment with National Quality Forum (NQF) measure #41 and was recorded as a proportion ranging between zero and one. | Baseline to 12 months |
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Inclusion Criteria:
Practices:
Patients survey participants:
Exclusion Criteria:
Practices:
Patient survey participants:
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| Name | Affiliation | Role |
|---|---|---|
| Judith A James, MD, PhD | University of Oklahoma | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Oklahoma Clinical and Translational Science Institute | Oklahoma City | Oklahoma | 73104 | United States |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 32298250 | Background | CDC COVID-19 Response Team. Geographic Differences in COVID-19 Cases, Deaths, and Incidence - United States, February 12-April 7, 2020. MMWR Morb Mortal Wkly Rep. 2020 Apr 17;69(15):465-471. doi: 10.15585/mmwr.mm6915e4. | |
| 32543763 | Background | Zhang CH, Schwartz GG. Spatial Disparities in Coronavirus Incidence and Mortality in the United States: An Ecological Analysis as of May 2020. J Rural Health. 2020 Jun;36(3):433-445. doi: 10.1111/jrh.12476. Epub 2020 Jun 16. |
| Label | URL |
|---|---|
| Abrams EM, Szefler SJ. COVID-19 and the impact of social determinants of health. The Lancet Respiratory Medicine. 2020;8(7):659-61. doi: 10.1016/s2213-2600(20)30234-4. | View source |
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| ID | Title | Description |
|---|---|---|
| FG000 | Primary Care Practices | A practice-based implementation study was conducted with 35 primary care practices, with baseline data collection, and overlapping interim measurements of care quality and process outcomes, followed by a final data collection at the end of the intervention. The practice-based approach involved assisting primary care practices to address SARS-CoV-2 testing using evidence-based practices. The intervention model included practice assessment, academic detailing, practice facilitation, health information technology support, performance feedback and benchmarking, and a virtual learning community. Practice members were surveyed to better understand barriers to SARS-CoV-2 testing. Patients were not direct subjects. The intervention targeted practices and practice members. |
| Title | Milestones | Reasons Not Completed | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Overall Study |
|
Participants are primary care practice members within the 35 participating practices (physicians, physician assistants, nurse practitioners, clinical staff, office managers, etc.)
| ID | Title | Description |
|---|---|---|
| BG000 | Primary Care Practices | A practice-based implementation study was conducted with 35 practices, with baseline data collection, and overlapping with interim measurements of care quality and process outcomes, followed by a final data collection at the end of the intervention (including baseline measures plus semi-structured interviews. The practice based approach to increasing testing will be compared to a community-based approach using mobile-setting to increase testing. Additional, non-clinical trial components of this study include patient surveys to understand facilitators and barriers to SARS-CoV-2 testing and identification of legal/ethical, socioeconomic, and behavioral implications of increased testing. Patients are not direct subjects in this part of the study. Intervention will target practices and practice members. Dissemination and Implementation Research: Dissemination and Implementation research involves assisting primary care practices to address SARS-CoV-2 testing using evidence-based practices as well as increased testing in mobile-based community settings. The D&I model also involves Practice Assessment, Academic Detailing, Practice Facilitation, Health Information Technology Support, Performance Feedback and Benchmarking, and a Virtual Learning Community. |
| Units | Counts |
|---|---|
| Participants |
|
| Title | Description | Population Description | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Denominator Units Selected | Denominators | Classes |
|---|---|---|---|---|---|---|---|---|---|
| Age, Categorical | Age information was only collected for 179 participants. |
| Type | Title | Description | Population Description | Reporting Status | Anticipated Posting Date | Parameter Type | Dispersion Type | Unit of Measure | Calculate Percentage | Time Frame | Units Analyzed | Denominator Units Selected | Arm/Group Information | Denominators | Classes | Analyses | |||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Primary | Change in SARS-CoV-2 Testing Rate (Practices) | Change in the proportion of patients eligible for Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) testing based on screening that receive SARS-CoV-2 test. The proportion ranges between zero and one. | The average proportion of patients receiving a SARS-CoV-2 test at the practice-level. Data were collected at the practice level only, no participant or patient level data were collected. | Posted | Mean | Standard Deviation | proportion of patients (ranging 0-1) | Baseline to 12 months | Practices | Practices |
|
Up to approximately 29 months
All-cause mortality was tracked for enrolled participants starting at participant enrollment and throughout their participation in the study.
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| ID | Title | Description | Deaths (Affected) | Deaths (At Risk) | Serious Events (Affected) | Serious Events (At Risk) | Other Events (Affected) | Other Events (At Risk) |
|---|---|---|---|---|---|---|---|---|
| EG000 | Primary Care Practices | A practice-based implementation study was conducted with 35 practices, with baseline data collection, and overlapping with interim measurements of care quality and process outcomes, followed by a final data collection at the end of the intervention including baseline measures plus semi-structured interviews. The practice based approach to increasing testing will be compared to a community-based approach using mobile-setting to increase testing. Additional, non-clinical trial components of this study include patient surveys to understand facilitators and barriers to SARS-CoV-2 testing and identification of legal/ethical, socioeconomic, and behavioral implications of increased testing. Patients are not direct subjects in this part of the study. Intervention will target practices and practice members. Dissemination and Implementation Research: Dissemination and Implementation research involves assisting primary care practices to address SARS-CoV-2 testing using evidence-based practices as well as increased testing in mobile-based community settings. The D&I model also involves Practice Assessment, Academic Detailing, Practice Facilitation, Health Information Technology Support, Performance Feedback and Benchmarking, and a Virtual Learning Community. |
Not provided
Not provided
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| Title | Organization | Phone | Extension | |
|---|---|---|---|---|
| Dr. Juell Homco | University of Oklahoma Tulsa | 918-660-3038 | juell-homco@ouhsc.edu |
Not provided
| Type | Includes Protocol | Includes SAP | Includes ICF | Document Label | Document Date | Document Uploaded Date | Document File Name |
|---|---|---|---|---|---|---|---|
| Prot | Yes | No | No | Study Protocol | Jun 25, 2021 | Jun 21, 2024 | Prot_000.pdf |
| SAP | No | Yes | No | Statistical Analysis Plan | Jun 25, 2021 | Jun 22, 2024 | SAP_001.pdf |
| ICF | No | No | Yes | Informed Consent Form | Jun 25, 2021 | Jun 21, 2024 | ICF_002.pdf |
Not provided
| ID | Term |
|---|---|
| D000086382 | COVID-19 |
| ID | Term |
|---|---|
| D011024 | Pneumonia, Viral |
| D011014 | Pneumonia |
| D012141 | Respiratory Tract Infections |
| D007239 | Infections |
Not provided
Not provided
Dissemination and Implementation Research (D&I): Involves assisting primary care practices to address SARS-CoV-2 testing using evidence-based practices as well as increased testing in mobile-based community settings. The D&I model also involves Practice Assessment, Academic Detailing, Practice Facilitation, Health Information Technology Support, Performance Feedback and Benchmarking, and a Virtual Learning Community.
Not provided
Not provided
Not provided
Not provided
|
Number (and type) of barriers to SARS-CoV-2 testing reported by practice members based on what they experienced during practice encounters with patients during the study. |
| Month 12 |
| Change in Pneumococcal Vaccination Rate (NQF #127) | Change in the proportion of patients 65 years of age or older who have ever received a pneumococcal vaccine. Pneumococcal Vaccination Rate was defined in alignment with National Quality Forum (NQF) measure #41 and was recorded as a proportion ranging between zero and one. | Baseline to 12 months |
| Change in Zoster Vaccination Rate | Change in the proportion of patients aged 50 years and older who have had the Shingrix zoster (shingles) vaccination. Proportion ranges from zero to one. | Baseline to 12 months |
| COVID-19 Referrals | Practices that reported not administering the COVID-19 vaccine were asked "Where do you send your patients that require a COVID-19 vaccine?" on the Practice Member Survey. | Baseline |
| COVID-19 Referrals | Practices that reported not administering the COVID-19 vaccine were asked "Where do you send your patients that require a COVID-19 vaccine?" on the Practice Member Survey. | Month 3 |
| COVID-19 Referrals | Practices that reported not administering the COVID-19 vaccine were asked "Where do you send your patients that require a COVID-19 vaccine?" on the Practice Member Survey. | Month 6 |
| COVID-19 Referrals | Practices that reported not administering the COVID-19 vaccine were asked "Where do you send your patients that require a COVID-19 vaccine?" on the Practice Member Survey. | Month 9 |
| COVID-19 Referrals | Practices that reported not administering the COVID-19 vaccine were asked "Where do you send your patients that require a COVID-19 vaccine?" on the Practice Member Survey. | Month 12 |
| 32255507 | Background | Shahid Z, Kalayanamitra R, McClafferty B, Kepko D, Ramgobin D, Patel R, Aggarwal CS, Vunnam R, Sahu N, Bhatt D, Jones K, Golamari R, Jain R. COVID-19 and Older Adults: What We Know. J Am Geriatr Soc. 2020 May;68(5):926-929. doi: 10.1111/jgs.16472. Epub 2020 Apr 20. |
| 32564693 | Background | Iaccarino G, Grassi G, Borghi C, Ferri C, Salvetti M, Volpe M; SARS-RAS Investigators. Age and Multimorbidity Predict Death Among COVID-19 Patients: Results of the SARS-RAS Study of the Italian Society of Hypertension. Hypertension. 2020 Aug;76(2):366-372. doi: 10.1161/HYPERTENSIONAHA.120.15324. Epub 2020 Jun 22. |
| 32240123 | Background | CDC COVID-19 Response Team. Preliminary Estimates of the Prevalence of Selected Underlying Health Conditions Among Patients with Coronavirus Disease 2019 - United States, February 12-March 28, 2020. MMWR Morb Mortal Wkly Rep. 2020 Apr 3;69(13):382-386. doi: 10.15585/mmwr.mm6913e2. |
| 32377638 | Background | Wang X, Fang X, Cai Z, Wu X, Gao X, Min J, Wang F. Comorbid Chronic Diseases and Acute Organ Injuries Are Strongly Correlated with Disease Severity and Mortality among COVID-19 Patients: A Systemic Review and Meta-Analysis. Research (Wash D C). 2020 Apr 19;2020:2402961. doi: 10.34133/2020/2402961. eCollection 2020. |
| 32545647 | Background | Turner-Musa J, Ajayi O, Kemp L. Examining Social Determinants of Health, Stigma, and COVID-19 Disparities. Healthcare (Basel). 2020 Jun 12;8(2):168. doi: 10.3390/healthcare8020168. |
| 32551932 | Background | Rollston R, Galea S. COVID-19 and the Social Determinants of Health. Am J Health Promot. 2020 Jul;34(6):687-689. doi: 10.1177/0890117120930536b. No abstract available. |
| 32539166 | Background | Hawkins D. Differential occupational risk for COVID-19 and other infection exposure according to race and ethnicity. Am J Ind Med. 2020 Sep;63(9):817-820. doi: 10.1002/ajim.23145. Epub 2020 Jun 15. |
| 32281405 | Background | Terry DL, Woo MJ. Burnout, job satisfaction, and work-family conflict among rural medical providers. Psychol Health Med. 2021 Feb;26(2):196-203. doi: 10.1080/13548506.2020.1750663. Epub 2020 Apr 13. |
| 32603030 | Background | Kaufman BG, Whitaker R, Pink G, Holmes GM. Half of Rural Residents at High Risk of Serious Illness Due to COVID-19, Creating Stress on Rural Hospitals. J Rural Health. 2020 Sep;36(4):584-590. doi: 10.1111/jrh.12481. Epub 2020 Jun 30. |
| 32685610 | Background | Davoodi NM, Healy M, Goldberg EM. Rural America's Hospitals are Not Prepared to Protect Older Adults From a Surge in COVID-19 Cases. Gerontol Geriatr Med. 2020 Jul 7;6:2333721420936168. doi: 10.1177/2333721420936168. eCollection 2020 Jan-Dec. |
| 29145359 | Background | James CV, Moonesinghe R, Wilson-Frederick SM, Hall JE, Penman-Aguilar A, Bouye K. Racial/Ethnic Health Disparities Among Rural Adults - United States, 2012-2015. MMWR Surveill Summ. 2017 Nov 17;66(23):1-9. doi: 10.15585/mmwr.ss6623a1. |
| 32396220 | Background | Henning-Smith C, Tuttle M, Kozhimannil KB. Unequal Distribution of COVID-19 Risk Among Rural Residents by Race and Ethnicity. J Rural Health. 2021 Jan;37(1):224-226. doi: 10.1111/jrh.12463. Epub 2020 Jun 25. No abstract available. |
| 32355299 | Background | Bavel JJV, Baicker K, Boggio PS, Capraro V, Cichocka A, Cikara M, Crockett MJ, Crum AJ, Douglas KM, Druckman JN, Drury J, Dube O, Ellemers N, Finkel EJ, Fowler JH, Gelfand M, Han S, Haslam SA, Jetten J, Kitayama S, Mobbs D, Napper LE, Packer DJ, Pennycook G, Peters E, Petty RE, Rand DG, Reicher SD, Schnall S, Shariff A, Skitka LJ, Smith SS, Sunstein CR, Tabri N, Tucker JA, Linden SV, Lange PV, Weeden KA, Wohl MJA, Zaki J, Zion SR, Willer R. Using social and behavioural science to support COVID-19 pandemic response. Nat Hum Behav. 2020 May;4(5):460-471. doi: 10.1038/s41562-020-0884-z. Epub 2020 Apr 30. |
| 32150748 | Background | Lauer SA, Grantz KH, Bi Q, Jones FK, Zheng Q, Meredith HR, Azman AS, Reich NG, Lessler J. The Incubation Period of Coronavirus Disease 2019 (COVID-19) From Publicly Reported Confirmed Cases: Estimation and Application. Ann Intern Med. 2020 May 5;172(9):577-582. doi: 10.7326/M20-0504. Epub 2020 Mar 10. |
| 32079150 | Background | Linton NM, Kobayashi T, Yang Y, Hayashi K, Akhmetzhanov AR, Jung SM, Yuan B, Kinoshita R, Nishiura H. Incubation Period and Other Epidemiological Characteristics of 2019 Novel Coronavirus Infections with Right Truncation: A Statistical Analysis of Publicly Available Case Data. J Clin Med. 2020 Feb 17;9(2):538. doi: 10.3390/jcm9020538. |
| 32364890 | Background | Furukawa NW, Brooks JT, Sobel J. Evidence Supporting Transmission of Severe Acute Respiratory Syndrome Coronavirus 2 While Presymptomatic or Asymptomatic. Emerg Infect Dis. 2020 Jul;26(7):e201595. doi: 10.3201/eid2607.201595. Epub 2020 Jun 21. |
| 32329971 | Background | Arons MM, Hatfield KM, Reddy SC, Kimball A, James A, Jacobs JR, Taylor J, Spicer K, Bardossy AC, Oakley LP, Tanwar S, Dyal JW, Harney J, Chisty Z, Bell JM, Methner M, Paul P, Carlson CM, McLaughlin HP, Thornburg N, Tong S, Tamin A, Tao Y, Uehara A, Harcourt J, Clark S, Brostrom-Smith C, Page LC, Kay M, Lewis J, Montgomery P, Stone ND, Clark TA, Honein MA, Duchin JS, Jernigan JA; Public Health-Seattle and King County and CDC COVID-19 Investigation Team. Presymptomatic SARS-CoV-2 Infections and Transmission in a Skilled Nursing Facility. N Engl J Med. 2020 May 28;382(22):2081-2090. doi: 10.1056/NEJMoa2008457. Epub 2020 Apr 24. |
| 32706958 | Background | Tromberg BJ, Schwetz TA, Perez-Stable EJ, Hodes RJ, Woychik RP, Bright RA, Fleurence RL, Collins FS. Rapid Scaling Up of Covid-19 Diagnostic Testing in the United States - The NIH RADx Initiative. N Engl J Med. 2020 Sep 10;383(11):1071-1077. doi: 10.1056/NEJMsr2022263. Epub 2020 Jul 22. No abstract available. |
| 28353501 | Background | Dwyer JW, Contreras D, Eschbach CL, Tiret H, Newkirk C, Carter E, Cronk L. Cooperative Extension as a Framework for Health Extension: The Michigan State University Model. Acad Med. 2017 Oct;92(10):1416-1420. doi: 10.1097/ACM.0000000000001640. |
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| Practices |
|
| Count of Participants |
| Participants |
| Participants |
|
|
| Sex: Female, Male | Information for sex (female/male) was not collected for 128 participants. | Count of Participants | Participants | Participants |
|
|
| Race (NIH/OMB) | Count of Participants | Participants | Participants |
|
|
| Region of Enrollment | Number | participants | Participants |
|
|
|
|
| Primary | Change in SARS-CoV-2 Test Positivity Rate | Change in the proportion of SARS-CoV-2 test results that are positive. | The proportion of SARS-CoV-2 tests conducted at each participating practice that were positive were recorded at both baseline and at 12 months. These practice-level proportions were averaged. Data were collected at the practice level only, no participant or patient level data were collected. | Posted | Mean | Standard Deviation | proportion of tests (ranging 0-1) | Baseline to 12 months | Practices | Practices |
|
|
|
| Primary | Barriers to SARS-CoV-2 Testing | Number (and type) of barriers to SARS-CoV-2 testing reported by practice members based on what they experienced during practice encounters with patients during the study. | Primary care practice members reported barriers to SARS-CoV-2 testing on a Practice Member Survey. Practice members could report more than one barrier. | Posted | Number | participants | Baseline | Practices | Practices |
|
|
|
| Primary | Barriers to SARS-CoV-2 Testing (Practices) | Number (and type) of barriers to SARS-CoV-2 testing reported by practice members based on what they experienced during practice encounters with patients during the study. | Primary care practice members reported barriers to SARS-CoV-2 testing on a Practice Member Survey. Practice members could report more than one barrier. | Posted | Number | participants | Month 3 | Practices | Practices |
|
|
|
| Primary | Barriers to SARS-CoV-2 Testing (Practices) | Number (and type) of barriers to SARS-CoV-2 testing reported by practice members based on what they experienced during practice encounters with patients during the study. | Primary care practice members reported barriers to SARS-CoV-2 testing on a Practice Member Survey. Practice members could report more than one barrier. | Posted | Number | participants | Month 6 | Practices | Practices |
|
|
|
| Primary | Barriers to SARS-CoV-2 Testing (Practices) | Number (and type) of barriers to SARS-CoV-2 testing reported by practice members based on what they experienced during practice encounters with patients during the study. | Primary care practice members reported barriers to SARS-CoV-2 testing on a Practice Member Survey. Practice members could report more than one barrier. | Posted | Number | participants | Month 9 | Practices | Practices |
|
|
|
| Primary | Barriers to SARS-CoV-2 Testing (Practices) | Number (and type) of barriers to SARS-CoV-2 testing reported by practice members based on what they experienced during practice encounters with patients during the study. | Primary care practice members reported barriers to SARS-CoV-2 testing on a Practice Member Survey. Practice members could report more than one barrier. | Posted | Number | participants | Month 12 | Practices | Practices |
|
|
|
| Secondary | Change in Influenza Vaccination Rate (NQF #41) | Change in the proportion of patients aged 6 months and older who received an influenza immunization or reported receipt of an influenza immunization. Influenza Vaccination Rate was defined in alignment with National Quality Forum (NQF) measure #41 and was recorded as a proportion ranging between zero and one. | Proportion of patients receiving influenza vaccine at the practice-level at baseline versus at 12 months. Data were collected at the practice level only, no participant or patient level data were collected. | Posted | Mean | Standard Deviation | proportion of patients (ranging 0-1) | Baseline to 12 months | Practices | Practices |
|
|
|
| Secondary | Change in Pneumococcal Vaccination Rate (NQF #127) | Change in the proportion of patients 65 years of age or older who have ever received a pneumococcal vaccine. Pneumococcal Vaccination Rate was defined in alignment with National Quality Forum (NQF) measure #41 and was recorded as a proportion ranging between zero and one. | Proportion of patients receiving pneumococcal vaccine at the practice-level at baseline versus at 12 months. Data were collected at the practice level only, no participant or patient level data were collected. | Posted | Mean | Standard Deviation | proportion of patients (ranging 0-1) | Baseline to 12 months | Practices | Practices |
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| Secondary | Change in Zoster Vaccination Rate | Change in the proportion of patients aged 50 years and older who have had the Shingrix zoster (shingles) vaccination. Proportion ranges from zero to one. | Data were not collected because collection of Zoster vaccination rates from primary care practices requires an electronic medical record query that was not available across participating practices. | Posted | Baseline to 12 months |
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| Secondary | COVID-19 Referrals | Practices that reported not administering the COVID-19 vaccine were asked "Where do you send your patients that require a COVID-19 vaccine?" on the Practice Member Survey. | The plan was to report where primary care practices reported referring patients to for the COVID-19 vaccine, but data were not collected for this time frame. | Posted | Baseline |
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| Secondary | COVID-19 Referrals | Practices that reported not administering the COVID-19 vaccine were asked "Where do you send your patients that require a COVID-19 vaccine?" on the Practice Member Survey. | The plan was to report where primary care practices reported referring patients to for the COVID-19 vaccine, but data were not collected for this time frame. | Posted | Month 3 |
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|
| Secondary | COVID-19 Referrals | Practices that reported not administering the COVID-19 vaccine were asked "Where do you send your patients that require a COVID-19 vaccine?" on the Practice Member Survey. | Primary care practice members reported where they refer patients to for the COVID-19 vaccine. Note, practice members could report more than one referral location. | Posted | Number | participants | Month 6 | Practices | Practices |
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| Secondary | COVID-19 Referrals | Practices that reported not administering the COVID-19 vaccine were asked "Where do you send your patients that require a COVID-19 vaccine?" on the Practice Member Survey. | Primary care practice members reported where they refer patients to for the COVID-19 vaccine. Note, practice members could report more than one referral location. | Posted | Number | participants | Month 9 | Practices | Practices |
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| Secondary | COVID-19 Referrals | Practices that reported not administering the COVID-19 vaccine were asked "Where do you send your patients that require a COVID-19 vaccine?" on the Practice Member Survey. | Primary care practice members reported where they refer patients to for the COVID-19 vaccine. Note, practice members could report more than one referral location. | Posted | Number | participants | Month 12 | Practices | Practices |
|
|
|
| 2 |
| 323 |
| 0 |
| 323 |
| 0 |
| 323 |
Not provided
Not provided
Not provided
| D014777 |
| Virus Diseases |
| D018352 | Coronavirus Infections |
| D003333 | Coronaviridae Infections |
| D030341 | Nidovirales Infections |
| D012327 | RNA Virus Infections |
| D008171 | Lung Diseases |
| D012140 | Respiratory Tract Diseases |
| White |
|
| More than one race |
|
| Unknown or Not Reported |
|
| Title | Measurements |
|---|---|
|
| Transportation |
|
| Not being able to pay |
|
| Not knowing where to go for testing |
|
| Childcare |
|
| Not able to take time off work |
|
| Title | Measurements |
|---|---|
|
| Transportation |
|
| Not being able to pay |
|
| Not knowing where to go for testing |
|
| Childcare |
|
| Not able to take time off work |
|
| Already had COVID-19 and don't think testing is needed |
|
| Don't see testing as important |
|
| Title | Measurements |
|---|---|
|
| Transportation |
|
| Not being able to pay |
|
| Not knowing where to go for testing |
|
| Childcare |
|
| Not able to take time off work |
|
| Already had COVID-19 and don't think testing is needed |
|
| Don't see testing as important |
|
| Title | Measurements |
|---|---|
|
| Transportation |
|
| Not being able to pay |
|
| Not knowing where to go for testing |
|
| Childcare |
|
| Not able to take time off work |
|
| Already had COVID-19 and don't think testing is needed |
|
| Don't see testing as important |
|
| Title | Measurements |
|---|---|
|
| Transportation |
|
| Not being able to pay |
|
| Not knowing where to go for testing |
|
| Childcare |
|
| Not able to take time off work |
|
| Already had COVID-19 and don't think testing is needed |
|
| Don't see testing as important |
|
| Title | Measurements |
|---|---|
|
| Other |
|
| Title | Measurements |
|---|---|
|
| Other |
|
| Title | Measurements |
|---|---|
|
| Other |
|