TY - JOUR AU - Gram, Inger Torhild AU - Skeie, Guri AU - Oyeyemi, Sunday Oluwafemi AU - Borch, Kristin Benjaminsen AU - Hopstock, Laila Arnesdatter AU - Løchen, Maja-Lisa PY - 2022 DA - 2022/2/25 TI - A Smartphone-Based Information Communication Technology Solution for Primary Modifiable Risk Factors for Noncommunicable Diseases: Pilot and Feasibility Study in Norway JO - JMIR Form Res SP - e33636 VL - 6 IS - 2 KW - eHealth KW - feasibility study KW - modifiable risk factor KW - noncommunicable disease KW - pilot study KW - smartphone-based information communication technology solution KW - short text message service KW - feasibility KW - risk KW - factor KW - information communication technology KW - smartphone KW - development KW - monitoring AB - Background: Cardiovascular diseases, cancers, chronic respiratory diseases, and diabetes are the 4 main noncommunicable diseases. These noncommunicable diseases share 4 modifiable risk factors (tobacco use, harmful use of alcohol, physical inactivity, and unhealthy diet). Short smartphone surveys have the potential to identify modifiable risk factors for individuals to monitor trends. Objective: We aimed to pilot a smartphone-based information communication technology solution to collect nationally representative data, annually, on 4 modifiable risk factors. Methods: We developed an information communication technology solution with functionalities for capturing sensitive data from smartphones, receiving, and handling data in accordance with general data protection regulations. The main survey comprised 26 questions: 8 on socioeconomic factors, 17 on the 4 risk factors, and 1 about current or previous noncommunicable diseases. For answers to the continuous questions, a keyboard was displayed for entering numbers; there were preset upper and lower limits for acceptable response values. For categorical questions, pull-down menus with response options were displayed. The second survey comprised 9 yes-or-no questions. For both surveys, we used SMS text messaging. For the main survey, we invited 11,000 individuals, aged 16 to 69 years, selected randomly from the Norwegian National Population Registry (1000 from each of the 11 counties). For the second survey, we invited a random sample of 100 individuals from each county who had not responded to the main survey. All data, except county of residence, were self-reported. We calculated the distribution for socioeconomic background, tobacco use, diet, physical activity, and health condition factors overall and by sex. Results: The response rate was 21.9% (2303/11,000; women: 1397/2263; 61.7%, men: 866/2263, 38.3%; missing: 40/2303, 1.7%). The median age for men was 52 years (IQR 40-61); the median age for women was 48 years (IQR 35-58). The main reported reason for nonparticipation in the main survey was that the sender of the initial SMS was unknown. Conclusions: We successfully developed and piloted a smartphone-based information communication technology solution for collecting data on the 4 modifiable risk factors for the 4 main noncommunicable diseases. Approximately 1 in 5 invitees responded; thus, these data may not be nationally representative. The smartphone-based information communication technology solution should be further developed with the long-term goal to reduce premature mortality from the 4 main noncommunicable diseases. SN - 2561-326X UR - https://formative.jmir.org/2022/2/e33636 UR - https://doi.org/10.2196/33636 UR - http://www.ncbi.nlm.nih.gov/pubmed/35212636 DO - 10.2196/33636 ID - info:doi/10.2196/33636 ER -