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Cost-effectiveness for Safe Steps health intervention, a mobile based intervention for falling prevention in elderly.
Umeå University, Faculty of Medicine, Department of Epidemiology and Global Health.
2019 (English)Independent thesis Advanced level (degree of Master (Two Years)), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

Introduction: Falling is a major health concern in elderly which is associated with huge societal costs. Exercise based interventions have been proven to be effective to reduce accidental falls. Safe Steps is a mobile based intervention which helps elderly to exercise, attain better strength and balance to reduce falls. The study investigates the cost effectiveness of Safe Steps intervention.

Methods: Markov model was constructed to capture the long-term effect of the intervention compared to no intervention arm. Deterministic analysis was initially conducted, then a probabilistic sensitivity analysis with altered assumptions to test uncertainty effect.

Results: deterministic analysis resulted in an ICER of -839 Thousand SEKs/QALY gained which suggests lower costs and higher QALYS gained through the intervention. Sensitivity analysis showed possibly low effect of uncertainty for most of the parameters and assumptions, however the model output seemed to be sensitive to the assumptions about intervention cost.

Discussion: The base case showed ICER estimates below the commonly accepted thresholds. Uncertainty is still a key issue that has to be further investigated. However, quantifying uncertainties in the factors affecting the intervention cost effectiveness could guide future research insightfully.

Conclusion: The Safe Steps intervention seems to be highly cost effective according to the estimates produced by this model.

Place, publisher, year, edition, pages
2019. , p. 35
Series
Centre for Public Health Report Series, ISSN 1651-341X ; 2019:10
Keywords [en]
Falling prevention, elderly, cost-effectiveness, mobile based intervention, Safe Steps, Markov model
National Category
Public Health, Global Health, Social Medicine and Epidemiology Health Care Service and Management, Health Policy and Services and Health Economy
Identifiers
URN: urn:nbn:se:umu:diva-165642OAI: oai:DiVA.org:umu-165642DiVA, id: diva2:1374703
External cooperation
Östersunds kommun - Magnus Zingmark
Educational program
Master's Programme in Public Health
Presentation
2019-05-23, Room A310, Caring Sciences building, Umeå University, Umeå, 11:00 (English)
Supervisors
Examiners
Available from: 2019-12-05 Created: 2019-12-02 Last updated: 2019-12-10Bibliographically approved

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CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf