dc.contributor.author | Liddle, Jacki | |
dc.contributor.author | Wishink, Anna | |
dc.contributor.author | Springfield, Liz | |
dc.contributor.author | Gustafsson, Louise | |
dc.contributor.author | Ireland, David | |
dc.contributor.author | Silburn, Peter | |
dc.date.accessioned | 2018-09-03T23:44:57Z | |
dc.date.available | 2018-09-03T23:44:57Z | |
dc.date.issued | 2017 | |
dc.identifier.issn | 0045-0766 | |
dc.identifier.doi | 10.1111/1440-1630.12360 | |
dc.identifier.uri | http://hdl.handle.net/10072/380261 | |
dc.description.abstract | Background: Understanding quality of life and participation
is a key aspect of occupational therapy research. The
use of smartphones to deliver experience-sampling surveys
may provide an accessible way to monitor these outcomes.
This study used smartphone-based experience sampling
methods (ESM) to investigate factors influencing
momentary quality of life (mQOL) of university students.
Methods: A convenience sample of students at an Australian
university participated. Using a custom smartphone
application, ESM surveys were sent six to eight times, every
second day, over a week. Participants indicated their mQOL,
occupational participation, occupational enjoyment, social
context and location via surveys and provided demographic
and health information in a single self-report questionnaire.
The relationship between mQOL and variables was analysed
at the survey level using logistic regression.
Results: Forty students completed 391 surveys. Higher
mQOL was significantly related to participation in productive
occupations (z = 3.48; P = 0.001), moderate
(z = 4.00; P < 0.001) or high occupational enjoyment
(z = 7.06; P < 0.001), being with someone (z = 2.15,
P = 0.031), being at home (z = 2.49; P = 0.013) and an
excellent self-rated health status (z = 2.35; P = 0.019).
The magnitude of differences in mQOL was small.
Conclusion: This study suggests that mQOL amongst
university students relates to personal, environmental and
occupational factors. The use of smartphone-based ESM
appears to be a practical approach for investigating participation
and QOL. Further research utilising a more
diverse sample, analysing at the individual level, and
using ESM in conjunction with other methodologies is
recommended. | |
dc.description.peerreviewed | Yes | |
dc.language | English | |
dc.language.iso | eng | |
dc.publisher | Wiley-Blackwell Publishing Asia | |
dc.relation.ispartofpagefrom | 294 | |
dc.relation.ispartofpageto | 304 | |
dc.relation.ispartofissue | 4 | |
dc.relation.ispartofjournal | Australian Occupational Therapy Journal | |
dc.relation.ispartofvolume | 64 | |
dc.subject.fieldofresearch | Clinical sciences | |
dc.subject.fieldofresearch | Health services and systems | |
dc.subject.fieldofresearch | Public health | |
dc.subject.fieldofresearchcode | 3202 | |
dc.subject.fieldofresearchcode | 4203 | |
dc.subject.fieldofresearchcode | 4206 | |
dc.title | Can smartphones measure momentary quality of life and participation? A proof of concept using experience sampling surveys with university students | |
dc.type | Journal article | |
dc.type.description | C1 - Articles | |
dc.type.code | C - Journal Articles | |
gro.hasfulltext | No Full Text | |
gro.griffith.author | Gustafsson, Louise | |