Previously submitted to: JMIR mHealth and uHealth (no longer under consideration since Aug 23, 2021)
Date Submitted: Aug 15, 2021
Warning: This is an author submission that is not peer-reviewed or edited. Preprints - unless they show as "accepted" - should not be relied on to guide clinical practice or health-related behavior and should not be reported in news media as established information.
Comparative Analysis of Mobile Pain Management Applications in Developed versus Developing Countries
ABSTRACT
Background:
The impact of mobile phones and their applications in healthcare (mobile health) is well established for a range of diseases and cross-cutting complications, such as pain. While numerous mobile health (mHealth) pain interventions have been established, an evaluation of their prevalence, adequacy and distribution remains limited.
Objective:
This study aims at reviewing and comparing current pain management mHealth tools in high- versus low-income countries.
Methods:
A literature and application (app) store search was conducted in May 2021 using combinations of the following keywords: “pain management”, “pain”, “mobile health”, “telemedicine”, and “app”. Literature searches were conducted in PubMed, Scopus, Cochrane Review Library, and Google scholar. App store searches were conducted in Google Play and Apple App Store. Data characteristics descriptive analysis was performed using R software to summarize different datasets and compute p-values (P) for testing the significance of different hypotheses with the significance level set to 0.05.
Results:
The search identified 40 publications (literature search) and 230 mHealth applications (app store search), revealing a non uniform distribution of search categories (χ2= 133.7, P < 0.004) with a ratio approximating 1:6 (OR = 5.730, 95%CI:3.745-8.909, P < 0.004). About 86.7% of these 270 applications (apps) are from high-income countries, showing a statistically significant non uniform distribution of country categories: high- and low-income (χ2= 145.2, P < 0.004) approximating the theoretical distribution of a 7:1 ratio (OR = 6.476, 95%CI:4.180-10.222, P < 0.004). Moreover, there is no significant difference in the proportion of search categories between country categories ( χ2= 0.113, P = 0.737) and the difference in pain app prevalence in high- versus low-income countries is not statistically significant. Finally, we have observed that pain-tracking apps are significantly more prevalent in developed countries in comparison to low-income countries.
Conclusions:
As expected, pain management app prevalence is higher in high-income countries. However, more research is required to readily comprehend the effectiveness of these apps.
Citation
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