A Digital Flu Intervention for People With Cardiovascular Conditions (CardioFlu)
Increasing Influenza Vaccination in Individuals With Cardiovascular Conditions: Assessing the Effectiveness of a Digital Intervention in a Decentralized Randomized Controlled Trial
Studienübersicht
Status
Status
Bedingungen
Bedingungen
Intervention / Behandlung
Intervention / Behandlung
Studientyp
Studientyp
Einschreibung (Tatsächlich)
Einschreibung
Phase
Phase
- Unzutreffend
Kontakte und Standorte
Studienorte
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California
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San Mateo, California, Vereinigte Staaten, 94401
- Evidation Health
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Teilnahmekriterien
Zulassungskriterien
Zulassungskriterien
Studienberechtigtes Alter
Akzeptiert gesunde Freiwillige
Studienberechtigte Geschlechter
Beschreibung
Inclusion Criteria:
- Age 18 years or older
- Resides in the U.S.
- Speaks, reads, and understands English
- Has self-reported being diagnosed with any of the following cardiac conditions below in their Achievement profile:
- Atrial Fibrillation or Afib
- Abnormal or irregular heart rhythm, other arrhythmic heart disease
- Cardiac arrest, or heart attack (myocardial infarction)
- Coronary heart disease like a heart blockage, treated with medications, a stent in the heart, or sometimes bypass surgery-
- Heart failure, like congestive heart failure
- Stroke or cerebrovascular accident (CVA)
Exclusion Criteria:
- Participated in Step 1, Part 2 semi-structured interviews used to obtain feedback on the intervention messages
Studienplan
Wie ist die Studie aufgebaut?
Designdetails
- Hauptzweck: Verhütung
- Zuteilung: Zufällig
- Interventionsmodell: Parallele Zuordnung
- Maskierung: Single
Anzahl der Arme
Waffen und Interventionen
Teilnehmergruppe / ArmTeilnehmergruppe / Arm |
Intervention / BehandlungIntervention / Behandlung |
|---|---|
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Experimental: cardiovascular disorders digital intervention arm (CVD-I)
Individuals with cardiovascular disease who receive a targeted digital intervention aimed at increasing influenza vaccination
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Messages that provide informational content on the influenza vaccine (sourced from the Centers for Disease Control and Prevention and the American Heart Association), specific information about influenza and cardiovascular disorders, and behavioral prompts (e.g., reminders) surrounding influenza vaccination behaviors.
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Kein Eingriff: cardiovascular disorders without digital intervention arm
Individuals with cardiovascular disease who receive no intervention
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Was misst die Studie?
Primäre Ergebnismessungen
Primäre Ergebnismessungen
Ergebnis Maßnahme |
Maßnahmenbeschreibung |
Zeitfenster |
|---|---|---|
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Number of Participants With Self-reported Influenza Vaccination Status as Vaccinated
Zeitfenster: Up to 7 months
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To determine the effectiveness of a digital intervention designed to increase influenza vaccination rates in individuals with cardiovascular diagnoses (CV diagnoses) by examining differences in self-reported influenza vaccination rates between individuals with cardiovascular disease who receive a targeted digital intervention (CVD-I) aimed at increasing influenza vaccination and those with CV diagnoses who received no intervention (CVD-C) by the end of the study period.
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Up to 7 months
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Sekundäre Ergebnismessungen
Sekundäre Ergebnismessungen
Ergebnis Maßnahme |
Maßnahmenbeschreibung |
Zeitfenster |
|---|---|---|
|
Number of Participants With Self-reported Influenza Vaccination Status as Vaccinated
Zeitfenster: Up to 7 months
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Differences in rates of self-reported influenza vaccination status after study start between individuals in the intervention group that completed different numbers of intervention messages (0 to 6 messages) over the course of the study
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Up to 7 months
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Participant Completion Rate
Zeitfenster: Up to 7 months
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Differences in completion rates of specific intervention types by individuals in the group receiving the targeted intervention
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Up to 7 months
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Self-Reported Influenza Vaccination Status Prediction
Zeitfenster: Up to 7 months
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Development of a logistic regression model to predict self-reported influenza vaccination status using vaccination predictors such as vaccine drivers/barriers, and vaccine knowledge.
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Up to 7 months
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Mitarbeiter und Ermittler
Sponsor
Sponsor
Mitarbeiter
Mitarbeiter
Ermittler
Ermittler
- Hauptermittler: Nell Marshall, DrPh, Evidation Health
Publikationen und hilfreiche Links
Allgemeine Veröffentlichungen
- Zhong B. How to calculate sample size in randomized controlled trial? J Thorac Dis. 2009 Dec;1(1):51-4.
- Molinari NA, Ortega-Sanchez IR, Messonnier ML, Thompson WW, Wortley PM, Weintraub E, Bridges CB. The annual impact of seasonal influenza in the US: measuring disease burden and costs. Vaccine. 2007 Jun 28;25(27):5086-96. doi: 10.1016/j.vaccine.2007.03.046. Epub 2007 Apr 20.
- Dale LP, White L, Mitchell M, Faulkner G. Smartphone app uses loyalty point incentives and push notifications to encourage influenza vaccine uptake. Vaccine. 2019 Jul 26;37(32):4594-4600. doi: 10.1016/j.vaccine.2018.04.018. Epub 2018 Apr 23.
- Dos Santos G, Tahrat H, Bekkat-Berkani R. Immunogenicity, safety, and effectiveness of seasonal influenza vaccination in patients with diabetes mellitus: A systematic review. Hum Vaccin Immunother. 2018;14(8):1853-1866. doi: 10.1080/21645515.2018.1446719. Epub 2018 Apr 9.
- Doyle JD, Chung JR, Kim SS, Gaglani M, Raiyani C, Zimmerman RK, Nowalk MP, Jackson ML, Jackson LA, Monto AS, Martin ET, Belongia EA, McLean HQ, Foust A, Sessions W, Berman L, Garten RJ, Barnes JR, Wentworth DE, Fry AM, Patel MM, Flannery B. Interim Estimates of 2018-19 Seasonal Influenza Vaccine Effectiveness - United States, February 2019. MMWR Morb Mortal Wkly Rep. 2019 Feb 15;68(6):135-139. doi: 10.15585/mmwr.mm6806a2.
- Frank L, Basch E, Selby JV; Patient-Centered Outcomes Research Institute. The PCORI perspective on patient-centered outcomes research. JAMA. 2014 Oct 15;312(15):1513-4. doi: 10.1001/jama.2014.11100. No abstract available.
- Healthy People 2020. (2019). Retrieved from https://www.healthypeople.gov/. from Healthy People 2020, United States Department of Health and Human Services, Office of Disease Prevention and Health Promotion, https://www.healthypeople.gov/
- Hurley LP, Beaty B, Lockhart S, Gurfinkel D, Breslin K, Dickinson M, Whittington MD, Roth H, Kempe A. RCT of Centralized Vaccine Reminder/Recall for Adults. Am J Prev Med. 2018 Aug;55(2):231-239. doi: 10.1016/j.amepre.2018.04.022. Epub 2018 Jun 15.
- Jackson ML, Chung JR, Jackson LA, Phillips CH, Benoit J, Monto AS, Martin ET, Belongia EA, McLean HQ, Gaglani M, Murthy K, Zimmerman R, Nowalk MP, Fry AM, Flannery B. Influenza Vaccine Effectiveness in the United States during the 2015-2016 Season. N Engl J Med. 2017 Aug 10;377(6):534-543. doi: 10.1056/NEJMoa1700153.
- Lee WN, Stuck D, Konty K, Rivers C, Brown CR, Zbikowski SM, Foschini L. Large-scale influenza vaccination promotion on a mobile app platform: A randomized controlled trial. Vaccine. 2020 Apr 16;38(18):3508-3514. doi: 10.1016/j.vaccine.2019.11.053. Epub 2019 Nov 29.
- Nehme EK, Delphia M, Cha EM, Thomas M, Lakey D. Promoting Influenza Vaccination Among an ACA Health Plan Subscriber Population: A Randomized Trial. Am J Health Promot. 2019 Jul;33(6):916-920. doi: 10.1177/0890117118823157. Epub 2019 Jan 10.
- Rolfes MA, Flannery B, Chung JR, O'Halloran A, Garg S, Belongia EA, Gaglani M, Zimmerman RK, Jackson ML, Monto AS, Alden NB, Anderson E, Bennett NM, Billing L, Eckel S, Kirley PD, Lynfield R, Monroe ML, Spencer M, Spina N, Talbot HK, Thomas A, Torres SM, Yousey-Hindes K, Singleton JA, Patel M, Reed C, Fry AM; US Influenza Vaccine Effectiveness (Flu VE) Network, the Influenza Hospitalization Surveillance Network, and the Assessment Branch, Immunization Services Division, Centers for Disease Control and Prevention. Effects of Influenza Vaccination in the United States During the 2017-2018 Influenza Season. Clin Infect Dis. 2019 Nov 13;69(11):1845-1853. doi: 10.1093/cid/ciz075.
- Samson, S., Lee, J., Tai, C., & Foschini, L. (2020, September). Digital intervention is effective at increasing influenza vaccination in people living with diabetes. Poster presented at the European Association for the Science of Diabetes in Vienna, Austria - Conference to occur digitally 22-25 September, 2020 due to COVID-19.
- Samson SI, Konty K, Lee WN, Quisel T, Foschini L, Kerr D, Liska J, Mills H, Hollingsworth R, Greenberg M, Beal AC. Quantifying the Impact of Influenza Among Persons With Type 2 Diabetes Mellitus: A New Approach to Determine Medical and Physical Activity Impact. J Diabetes Sci Technol. 2021 Jan;15(1):44-52. doi: 10.1177/1932296819883340. Epub 2019 Nov 20.
- Marshall NJ, Lee JL, Schroeder J, Lee WN, See J, Madjid M, Munagala MR, Piette JD, Tan L, Vardeny O, Greenberg M, Liska J, Mercer M, Samson S. Influence of Digital Intervention Messaging on Influenza Vaccination Rates Among Adults With Cardiovascular Disease in the United States: Decentralized Randomized Controlled Trial. J Med Internet Res. 2022 Oct 7;24(10):e38710. doi: 10.2196/38710.
Studienaufzeichnungsdaten
Haupttermine studieren
Studienbeginn (Tatsächlich)
Studienbeginn
Primärer Abschluss (Tatsächlich)
Primärer Abschluss
Studienabschluss (Tatsächlich)
Studienabschluss
Studienanmeldedaten
Zuerst eingereicht
Zuerst eingereicht
Zuerst eingereicht, das die QC-Kriterien erfüllt hat
Zuerst eingereicht, das die QC-Kriterien erfüllt hat
Zuerst gepostet (Tatsächlich)
Zuerst gepostet
Studienaufzeichnungsaktualisierungen
Letztes Update gepostet (Tatsächlich)
Letztes Update gepostet
Letztes eingereichtes Update, das die QC-Kriterien erfüllt
Letztes eingereichtes Update, das die QC-Kriterien erfüllt
Zuletzt verifiziert
Zuletzt verifiziert
Mehr Informationen
Begriffe im Zusammenhang mit dieser Studie
Schlüsselwörter
Zusätzliche relevante MeSH-Bedingungen
- Ischämie
- Pathologische Prozesse
- Nekrose
- Myokardischämie
- Gefäßerkrankungen
- Zerebrovaskuläre Erkrankungen
- Erkrankungen des Gehirns
- Erkrankungen des zentralen Nervensystems
- Erkrankungen des Nervensystems
- Infarkt
- Herzinfarkt
- Herzkrankheiten
- Streicheln
- Koronare Krankheit
- Herz-Kreislauf-Erkrankungen
- Vorhofflimmern
- Arrhythmien, Herz
Andere Studien-ID-Nummern
Andere Studien-ID-Nummern
- 2020/08/14
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Arzneimittel- und Geräteinformationen, Studienunterlagen
Studiert ein von der US-amerikanischen FDA reguliertes Arzneimittelprodukt
Studiert ein von der US-amerikanischen FDA reguliertes Geräteprodukt
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