Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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COMPLETED
4969 participants
OBSERVATIONAL
2022-09-29
2023-11-23
Brief Summary
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Link for the web-survey \[Anticipated\]: https://it.surveymonkey.com/r/CallforWomen
Detailed Description
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\[Methods\] Descriptive observational study, collecting data using a population-based web-survey.
\[Study design\] Descriptive observational cross-sectional study. The study will be coordinated by a Women Research Group - a multidisciplinary team of women active in the Clinical, Managerial, and Research sectors.
\[Data collection\] The data will be collected via a population-based web-survey (8-10) created with the SurveyMonkey® software. The collected data will be sent into an electronic data collector, whose output will be saved as an eCRF file in REDCap. The start and end of the data collection are scheduled for April 2022 and April 2023, respectively. Taking into consideration a population of roughly 5 million women in the Lombardy region and an estimated response rate of 80%, the required sample size is calculated in 2182 subjects. More precisely, a sample size of 2182 from a population of 5.000.000 produces a two-sided 80% confidence interval with a precision (half-width) of 0,0070 when the actual proportion is near 0,0700 \[from previous web-based studies, roughly 7% of women - an average percentage from several ethnic and demographic groups - were aware regarding CVD (6)\]. Consequently, the number of individuals out of the population needed to ask for participation to achieve the required sample size based on the expected response rate is roughly 12.000. The sample size was calculated using the statistical package PASS 2019, v19.0.1.
\[Measured variables\] All variables will be collected in a self-reporting format. To describe the web-survey-related camp, questions related to socio-demographic profile will be asked, taking into account age, sex, education, and marital status. The proposed item in the population-based web-survey will also face a process of validation: a group of 10/12 health professionals will be asked to express their opinion on the relevance of each item of the questionnaire with regard to the measurement objective of the scale itself. They will express a rating by evaluating each item with a 4-step Likert scale (1 = completely irrelevant; 4 = completely relevant). This approach is useful for content validation and was described by Lawshe (1975) to calculate two quantitative content validation indices (i.e., CVI, CVR). For the face validation (i.e., qualitative validation) three open questions will be asked to the same group of expert clinicians. These questions will be qualitatively analyzed, and any proposals for clarification on the linguistic form of the items will be taken into consideration.
\[Statistical analysis\] All the data will be checked using the frequency distribution to assess possible missing, errors or outliers. Descriptive statistics will be used to describe the sample characteristics, where categorical data will be presented as frequencies, and continuous data were presented as means ± standard deviation (M±SD) for normally distributed variables, and as median and interquartile range (25°-75° percentile) for continues data non-normally distributed. The study of skewness will be used to preliminary assess the normal distribution of the variables, followed by the Kolmogorov-Smirnov test. Missing data will be managed using a pairwise approach. The sample characteristics will be compared between and within groups and using Pearson's χ2 test for dichotomous variables in the univariate analysis or using The Student's t-test (or one-way ANAOVA when appropriate) for parametric values. Structural equation modellings will test the relationships among the collected health data and to determine whether latent factors might predict the observed variables. Structural equation models will be evaluated considering the interpretation of the following indices of fit: the Satorra-Bentler χ2; the comparative fit index (CFI) (values \>0.90 indicated an acceptable fit); the root mean square error of approximation (RMSEA) (values \<0.06 indicated an acceptable fit); the weighted root mean square residual (WRMR; values 1.0 indicated an acceptable fit). All data were analyzed using Statistical Package for Social Science version 22 (SPSS, Chicago, IL, USA) and MPLus 8.1, and the level of significance of each test was set at 0.05 and two-tailed.
\[Ethical considerations\] The study can be described as anonymous because it is impossible to link any particular sample to a person based on the obtained data. Prior to the compilation of the web-survey, the informed consent will be obtained online in the same page. It is not considered necessary to employ a separate written informed permission for this sort of study, according to current legislation (European Regulation 2016/679, Legislative Decree 101/2018), because it would cease to exist the study's confidentiality. On the other hand, it is thought to prioritize properly informing patients with a clear and understandable presentation webpage that explains the survey's purpose before they complete the online questionnaire.
\[Data management\] All data collected anonymously through the population-based web-survey will be processed in accordance with current legislation (European Regulation 2016/679, Legislative Decree 101/2018), with the GCP and in overall respect of the privacy of the participating subjects, as it will be impossible. for anyone to link any given sample to a subject. The data will be automatically entered into an online binder after each patient completes the questionnaire. Once the collection phase is complete, the binder will be extrapolated into an Excel sheet for analysis purposes. The Excel output will also be deposited in REDCap.
Conditions
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Keywords
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Study Design
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ECOLOGIC_OR_COMMUNITY
CROSS_SECTIONAL
Eligibility Criteria
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Inclusion Criteria
* Being over the age of 18
* Residing in the Lombardy region
* Providing informed consent at the start of the population-based web-survey
Exclusion Criteria
* NOT Being over the age of 18
* NOT Residing in the Lombardy region
* NOT Providing informed consent at the start of the population-based web-survey
18 Years
FEMALE
Yes
Sponsors
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IRCCS Policlinico S. Donato
OTHER
Responsible Party
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Serenella Castelvecchio, MD, FESC
Principal Investigator
Principal Investigators
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Serenella Castelvecchio, MD
Role: PRINCIPAL_INVESTIGATOR
IRCCS Policlinico S. Donato
Locations
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IRCCS Policlinico San Donato
San Donato Milanese, Milano, Italy
Countries
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References
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Benjamin EJ, Muntner P, Alonso A, Bittencourt MS, Callaway CW, Carson AP, Chamberlain AM, Chang AR, Cheng S, Das SR, Delling FN, Djousse L, Elkind MSV, Ferguson JF, Fornage M, Jordan LC, Khan SS, Kissela BM, Knutson KL, Kwan TW, Lackland DT, Lewis TT, Lichtman JH, Longenecker CT, Loop MS, Lutsey PL, Martin SS, Matsushita K, Moran AE, Mussolino ME, O'Flaherty M, Pandey A, Perak AM, Rosamond WD, Roth GA, Sampson UKA, Satou GM, Schroeder EB, Shah SH, Spartano NL, Stokes A, Tirschwell DL, Tsao CW, Turakhia MP, VanWagner LB, Wilkins JT, Wong SS, Virani SS; American Heart Association Council on Epidemiology and Prevention Statistics Committee and Stroke Statistics Subcommittee. Heart Disease and Stroke Statistics-2019 Update: A Report From the American Heart Association. Circulation. 2019 Mar 5;139(10):e56-e528. doi: 10.1161/CIR.0000000000000659. No abstract available.
Vaccarino V, Parsons L, Peterson ED, Rogers WJ, Kiefe CI, Canto J. Sex differences in mortality after acute myocardial infarction: changes from 1994 to 2006. Arch Intern Med. 2009 Oct 26;169(19):1767-74. doi: 10.1001/archinternmed.2009.332.
Mosca L, Hammond G, Mochari-Greenberger H, Towfighi A, Albert MA; American Heart Association Cardiovascular Disease and Stroke in Women and Special Populations Committee of the Council on Clinical Cardiology, Council on Epidemiology and Prevention, Council on Cardiovascular Nursing, Council on High Bloo. Fifteen-year trends in awareness of heart disease in women: results of a 2012 American Heart Association national survey. Circulation. 2013 Mar 19;127(11):1254-63, e1-29. doi: 10.1161/CIR.0b013e318287cf2f. Epub 2013 Feb 19.
Cushman M, Shay CM, Howard VJ, Jimenez MC, Lewey J, McSweeney JC, Newby LK, Poudel R, Reynolds HR, Rexrode KM, Sims M, Mosca LJ; American Heart Association. Ten-Year Differences in Women's Awareness Related to Coronary Heart Disease: Results of the 2019 American Heart Association National Survey: A Special Report From the American Heart Association. Circulation. 2021 Feb 16;143(7):e239-e248. doi: 10.1161/CIR.0000000000000907. Epub 2020 Sep 21.
Kouvari M, Souliotis K, Yannakoulia M, Panagiotakos DB. Cardiovascular Diseases in Women: Policies and Practices Around the Globe to Achieve Gender Equity in Cardiac Health. Risk Manag Healthc Policy. 2020 Oct 12;13:2079-2094. doi: 10.2147/RMHP.S264672. eCollection 2020.
Mosca L, Ferris A, Fabunmi R, Robertson RM; American Heart Association. Tracking women's awareness of heart disease: an American Heart Association national study. Circulation. 2004 Feb 10;109(5):573-9. doi: 10.1161/01.CIR.0000115222.69428.C9. Epub 2004 Feb 4.
Visseren FLJ, Mach F, Smulders YM, Carballo D, Koskinas KC, Back M, Benetos A, Biffi A, Boavida JM, Capodanno D, Cosyns B, Crawford C, Davos CH, Desormais I, Di Angelantonio E, Franco OH, Halvorsen S, Hobbs FDR, Hollander M, Jankowska EA, Michal M, Sacco S, Sattar N, Tokgozoglu L, Tonstad S, Tsioufis KP, van Dis I, van Gelder IC, Wanner C, Williams B; ESC National Cardiac Societies; ESC Scientific Document Group. 2021 ESC Guidelines on cardiovascular disease prevention in clinical practice. Eur Heart J. 2021 Sep 7;42(34):3227-3337. doi: 10.1093/eurheartj/ehab484. No abstract available.
Gnambs T, Kaspar K. Disclosure of sensitive behaviors across self-administered survey modes: a meta-analysis. Behav Res Methods. 2015 Dec;47(4):1237-1259. doi: 10.3758/s13428-014-0533-4.
Eysenbach G, Wyatt J. Using the Internet for surveys and health research. J Med Internet Res. 2002 Apr-Nov;4(2):E13. doi: 10.2196/jmir.4.2.e13.
Ball HL. Conducting Online Surveys. J Hum Lact. 2019 Aug;35(3):413-417. doi: 10.1177/0890334419848734. Epub 2019 May 14.
Other Identifiers
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40/INT/2022
Identifier Type: -
Identifier Source: org_study_id