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@ARTICLE{Brinker:136848,
author = {T. J. Brinker$^*$ and C. M. Brieske and S. Esser and J.
Klode and U. Mons$^*$ and A. Batra and T. Rüther and W.
Seeger and A. H. Enk and C. von Kalle$^*$ and C. Berking and
M. V. Heppt and M. V. Gatzka and B. Bernardes-Souza and R.
Schlenk$^*$ and D. Schadendorf},
title = {{A} {F}ace-{A}ging {A}pp for {S}moking {C}essation in a
{W}aiting {R}oom {S}etting: {P}ilot {S}tudy in an {HIV}
{O}utpatient {C}linic.},
journal = {Journal of medical internet research},
volume = {20},
number = {8},
issn = {1438-8871},
address = {Richmond, Va.},
publisher = {Healthcare World},
reportid = {DKFZ-2018-01286},
pages = {e10976},
year = {2018},
abstract = {There is strong evidence for the effectiveness of
addressing tobacco use in health care settings. However, few
smokers receive cessation advice when visiting a hospital.
Implementing smoking cessation technology in outpatient
waiting rooms could be an effective strategy for change,
with the potential to expose almost all patients visiting a
health care provider without preluding physician action
needed.The objective of this study was to develop an
intervention for smoking cessation that would make use of
the time patients spend in a waiting room by passively
exposing them to a face-aging, public morphing, tablet-based
app, to pilot the intervention in a waiting room of an HIV
outpatient clinic, and to measure the perceptions of this
intervention among smoking and nonsmoking HIV patients.We
developed a kiosk version of our 3-dimensional face-aging
app Smokerface, which shows the user how their face would
look with or without cigarette smoking 1 to 15 years in the
future. We placed a tablet with the app running on a table
in the middle of the waiting room of our HIV outpatient
clinic, connected to a large monitor attached to the
opposite wall. A researcher noted all the patients who were
using the waiting room. If a patient did not initiate app
use within 30 seconds of waiting time, the researcher
encouraged him or her to do so. Those using the app were
asked to complete a questionnaire.During a 19-day period,
464 patients visited the waiting room, of whom 187
$(40.3\%)$ tried the app and 179 $(38.6\%)$ completed the
questionnaire. Of those who completed the questionnaire, 139
of 176 $(79.0\%)$ were men and 84 of 179 $(46.9\%)$ were
smokers. Of the smokers, 55 of 81 $(68\%)$ said the
intervention motivated them to quit (men: 45, $68\%;$ women:
10, $67\%);$ 41 $(51\%)$ said that it motivated them to
discuss quitting with their doctor (men: 32, $49\%;$ women:
9, $60\%);$ and 72 $(91\%)$ perceived the intervention as
fun (men: 57, $90\%;$ women: 15, $94\%).$ Of the nonsmokers,
92 $(98\%)$ said that it motivated them never to take up
smoking (men: 72, $99\%;$ women: 20, $95\%).$ Among all
patients, 102 $(22.0\%)$ watched another patient try the app
without trying it themselves; thus, a total of 289
$(62.3\%)$ of the 464 patients were exposed to the
intervention (average waiting time 21 minutes).A face-aging
app implemented in a waiting room provides a novel
opportunity to motivate patients visiting a health care
provider to quit smoking, to address quitting at their
subsequent appointment and thereby encourage
physician-delivered smoking cessation, or not to take up
smoking.},
cin = {G100 / M050 / G040 / L101 / L401},
ddc = {610},
cid = {I:(DE-He78)G100-20160331 / I:(DE-He78)M050-20160331 /
I:(DE-He78)G040-20160331 / I:(DE-He78)L101-20160331 /
I:(DE-He78)L401-20160331},
pnm = {317 - Translational cancer research (POF3-317)},
pid = {G:(DE-HGF)POF3-317},
typ = {PUB:(DE-HGF)16},
pubmed = {pmid:30111525},
doi = {10.2196/10976},
url = {https://inrepo02.dkfz.de/record/136848},
}