Understanding Patient Choice: A Study of Women’s Choice in Prenatal Screening and Testing

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dc.contributor Aalto-yliopisto fi
dc.contributor Aalto University en
dc.contributor.advisor Torkki, Paulus, Associate Prof., University of Helsinki, Finland
dc.contributor.advisor Stefanovic, Vedran, Prof., Helsinki University Hospital and University of Helsinki, Finland
dc.contributor.author Chen, An
dc.date.accessioned 2017-11-15T10:02:46Z
dc.date.available 2017-11-15T10:02:46Z
dc.date.issued 2017
dc.identifier.isbn 978-952-60-7691-1 (electronic)
dc.identifier.isbn 978-952-60-7690-4 (printed)
dc.identifier.issn 1799-4942 (electronic)
dc.identifier.issn 1799-4934 (printed)
dc.identifier.issn 1799-4934 (ISSN-L)
dc.identifier.uri https://aaltodoc.aalto.fi/handle/123456789/28735
dc.description.abstract With the megatrends of autonomy and individual empowerment in health care, patient choice becomes an essential part of improving health care quality and appears as a health care policy in many developed countries. Patients are endowed with increased opportunities to choose and decide according to their own preferences. However, patient choice comes with controversy and complexity. A large amount of evidence has shown that patient choice does not always produce positive effects. The big problem we have to face and address in an urgency is how to manage patient choice in an optimal way. Over the recent decades, a great effort has been made to understand patient choice and design appropriate choice interventions to achieve desired outcomes. However, there is a lack of contextual awareness in the existed research and little attention has been paid to the patient's experience in choice-making process. This dissertation advances the understanding on patient choice by contextualizing patient choice and exploring patient experience in choice-making processes within certain contexts. It aims to provide possible solutions for optimizing patient choice and improving patient satisfaction with the choice. This dissertation based on four articles took a pragmatic view and applied a mixed-method case study approach. The study undertook an in-depth investigation on women's choice in the prenatal screening and testing implemented in the Hospital District of Helsinki and Uusimaa (HUS) in Finland. Qualitative data were collected by reading relevant documents and interviewing pregnant women and the medical staff from maternal clinics, delivery hospitals, and the Fetomaternal Medical Center (FMC). Quantitative data were obtained by accessing the prenatal testing choice database at FMC and conducting a cross-sectional self-completion survey. This study found that contextual factors, e.g. service schedules and arrangement, were important for patients to make choices. It applied Demand-Supply based Operating logic to contextualize patient choice and showed that at different contexts patients had different choice-making processes in terms of activeness, preferences or considerations, information needs and sources, social influence, emotion status and choice-making difficulty. This dissertation also developed a set of measurements to quantify and evaluate patient experience in choice-making processes and identified experiential factors that significantly influence patient satisfaction with the choices the patient made. The combination of the four articles can provides an insight into how to systematically construct possible choice architectures and design appropriate choice aids. Especially, it highlights the role of context in organizing health services and studying patient choices. It also contributes to the practices of communicating with patients who are suffered from unexpected situations and assisting them in arriving at a satisfying choice. en
dc.format.extent 97 + app. 93
dc.format.mimetype application/pdf en
dc.language.iso en en
dc.publisher Aalto University en
dc.publisher Aalto-yliopisto fi
dc.relation.ispartofseries Aalto University publication series DOCTORAL DISSERTATIONS en
dc.relation.ispartofseries 212/2017
dc.relation.haspart [Publication 1]: Chen, An., Tenhunen, Henni., Torkki, Paulus., Heinonen, Seppo., Lillrank, Paul., Stefanovic, Vedran. 2016. Women's choices for invasive or non-invasive testing: influence of gestational age and service delivery. Prenatal Diagnosis, 36(13), 1217-1224. ISSN: 1097-0223. DOI: 10.1002/pd.4960
dc.relation.haspart [Publication 2]: Chen, An., Tenhunen, Henni., Torkki, Paulus., Heinonen, Seppo., Lillrank, Paul., Stefanovic, Vedran. 2017. Considering medical risk information and communicating values: A mixed-method study of women’s choice in prenatal testing. PlOS ONE, 12(3). eISSN: 1932-6203. Full text at Aaltodoc: http://urn.fi/URN:NBN:fi:aalto-201704203641. DOI: 10.1371/journal.pone.0173669
dc.relation.haspart [Publication 3]: Chen, An., Tenhunen, Henni., Torkki, Paulus., Peltokorpi, Antti., Heinonen, Seppo., Lillrank, Paul., Stefanovic, Vedran. Facilitating autonomous, confident and satisfying choices: A mixed-method study of women’s choice-making in prenatal screening for common aneuploidies. Submitted manuscript, 31 pages.
dc.relation.haspart [Publication 4]: Chen, An., Lillrank, Paul., Tenhunen, Henni., Peltokorpi, Antti., Torkki, Paulus., Heinonen, Seppo., Stefanovic, Vedran. 2018. Context-based patient choice management in healthcare. International Journal of Health Care Quality Assurance, 31 (1). Forthcoming.
dc.subject.other Management en
dc.subject.other Medical sciences en
dc.title Understanding Patient Choice: A Study of Women’s Choice in Prenatal Screening and Testing en
dc.type G5 Artikkeliväitöskirja fi
dc.contributor.school Perustieteiden korkeakoulu fi
dc.contributor.school School of Science en
dc.contributor.department Tuotantotalouden laitos fi
dc.contributor.department Department of Industrial Engineering and Management en
dc.subject.keyword patient choice en
dc.subject.keyword contextualization en
dc.subject.keyword experience en
dc.subject.keyword management en
dc.subject.keyword choice architecture en
dc.identifier.urn URN:ISBN:978-952-60-7691-1
dc.type.dcmitype text en
dc.type.ontasot Doctoral dissertation (article-based) en
dc.type.ontasot Väitöskirja (artikkeli) fi
dc.contributor.supervisor Lillrank, Paul, Prof., Aalto University, Department of Industrial Engineering and Management, Finland
dc.opn Bryant, Louise, Associate Prof., Leeds University, UK
dc.contributor.lab HEMA Institute en
dc.rev Möller, Anders, Prof. Emeritus, Ersta Sköndal Bräcke University College, Sweden
dc.rev Vehviläinen-Julkunen, Katri, Prof., University of Eastern Finland, Finland
dc.date.defence 2017-12-15

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