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Transl Behav Med ; 10(3): 723-733, 2020 08 07.
Article in English | MEDLINE | ID: mdl-30834438

ABSTRACT

The majority of research to date on the links between well-being and green spaces comes from cross-sectional studies. Shmapped is an app that allows for the collection of well-being and location data live in the field and acts as a novel dual data collection tool and well-being intervention, which prompts users to notice the good things about their surroundings. We describe the process of developing Shmapped from storyboarding, budgeting, and timescales; selecting a developer; drawing up data protection plans; and collaborating with developers and end-user testers to ultimately publishing Shmapped. The development process and end-user testing resulted in a highly functional app. Limitations and future uses of such novel dual data collection and intervention apps are discussed and recommendations are made for prospective developers and researchers.


Subject(s)
Mobile Applications , Cross-Sectional Studies , Data Collection , Humans , Prospective Studies
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