Incorporating co-design principles and social media strategies to enhance cross-sectional online survey participation: The Birth Experience Study

被引:4
作者
Keedle, Hazel [1 ,2 ]
Dahlen, Hannah G. [1 ]
机构
[1] Western Sydney Univ, Sch Nursing & Midwifery, Penrith, NSW, Australia
[2] Western Sydney Univ, Sch Nursing & Midwifery, Locked Bag 1797, Penrith, NSW 2751, Australia
关键词
co-design; patient involvement; social media; survey design; MOTHERS; TRAUMA;
D O I
10.1111/jnu.12945
中图分类号
R47 [护理学];
学科分类号
1011 ;
摘要
Aim: To use co-design principles to design a nationwide maternity experiences survey and to distribute the survey through social media.Design: A co-designed, cross sectional, and national online survey.Methods: Using co-design principles from study design and throughout the research process a cross-sectional, online, national survey of Australian women's experiences of maternity care was designed. Four validated survey instruments were included in the survey design.Results: An extensive social media strategy was utilized, which included paid advertising, resulting in 8804 surveys for analysis and 54,896 comments responding to open text questions.Discussion: The inclusion of co-design principles contributed to a well-designed survey and consumer involvement in distribution and support of the online survey. The social media distribution strategy contributed to high participation rates with overall low marketing costs.Clinical Relevance: Maternity services should be designed to provide woman-centered, individualized care. This survey was co-designed with maternity users and maternity organizations to explore women's recent experiences of maternity care in Australia. The outcomes of this study will highlight the factors that contribute to positive and negative experiences in maternity services.Patient or Public Contribution: As a co-designed study, there was consumer engagement from the design of the study, throughout the research process.
引用
收藏
页码:341 / 350
页数:10
相关论文
共 47 条
[11]   Interventions in labour and birth and satisfaction with care: The Canadian Maternity Experiences Survey Findings [J].
Chalmers, Beverley Elizabeth ;
Dzakpasu, Susie .
JOURNAL OF REPRODUCTIVE AND INFANT PSYCHOLOGY, 2015, 33 (04) :374-387
[12]   Childbirth and the development of acute trauma symptoms: Incidence and contributing factors [J].
Creedy, DK ;
Shochet, IM ;
Horsfall, J .
BIRTH-ISSUES IN PERINATAL CARE, 2000, 27 (02) :104-111
[13]   Vaccine intention and hesitancy among Australian women who are currently pregnant or have recently given birth: the Birth in the Time of COVID-19 (BITTOC) national online survey [J].
Dahlen, Hannah G. ;
Homer, Caroline ;
Boyle, Jacqueline ;
Lequertier, Belinda ;
Kildea, Sue ;
Agho, Kingsley Emwinyore .
BMJ OPEN, 2023, 13 (04)
[14]   The Role of Social Media in Enhancing Clinical Trial Recruitment: Scoping Review [J].
Darmawan, Ida ;
Bakker, Caitlin ;
Brockman, Tabetha A. ;
Patten, Christi A. ;
Eder, Milton .
JOURNAL OF MEDICAL INTERNET RESEARCH, 2020, 22 (10)
[15]   Major Survey Findings of Listening to Mothers(SM) III: New Mothers Speak Out [J].
Declercq, Eugene ;
Sakala, Carol ;
Corry, Maureen ;
Applebaum, Sandra ;
Herrlich, Ariel .
JOURNAL OF PERINATAL EDUCATION, 2014, 23 (01) :17-24
[16]   Listening to Mothers II: Report of the Second National US Survey of Women's Childbearing Experiences [J].
Declercq, Eugene R. ;
Sakala, Carol ;
Corry, Maureen P. ;
Applebaum, Sandra .
JOURNAL OF PERINATAL EDUCATION, 2007, 16 (04) :9-14
[17]   Women's perceptions and experiences of a traumatic birth: a meta-ethnography [J].
Elmir, Rakime ;
Schmied, Virginia ;
Wilkes, Lesley ;
Jackson, Debra .
JOURNAL OF ADVANCED NURSING, 2010, 66 (10) :2142-2153
[18]   Sample size estimation: How many individuals should be studied? [J].
Eng, J .
RADIOLOGY, 2003, 227 (02) :309-313
[19]   Facebook Digital Traces for Survey Research: Assessing the Efficiency and Effectiveness of a Facebook Ad-Based Procedure for Recruiting Online Survey Respondents in Niche and Difficult-to-Reach Populations [J].
Iannelli, Laura ;
Giglietto, Fabio ;
Rossi, Luca ;
Zurovac, Elisabetta .
SOCIAL SCIENCE COMPUTER REVIEW, 2020, 38 (04) :462-476
[20]  
International Association for Public Participation, 2015, AUSTR QUAL ASS STAND