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.

BackgroundSickle cell disease (SCD) is a severe hereditary form of anemia that contributes between 50% and 80% of under-five mortality in Africa. Eleven thousand babies are born with SCD annually in Tanzania, ranking 4th after Nigeria, the Democratic Republic of Congo and India. The absence of well-described SCD cohorts is a major barrier to health research in SCD in Africa.ObjectiveThis paper describes the Sickle Pan African Consortium (SPARCO) database in Tanzania, from the development, design of the study instruments, data collection, analysis of data and management of data quality issues.MethodsThe SPARCO registry used existing Muhimbili Sickle Cell Cohort (MSC) study case report forms (CRF) and later harmonized data elements from the SickleInAfrica consortium to develop Research Electronic Data Capture (REDCap) instruments. Patients were enrolled through various strategies, including mass screening following media sensitization and health education events during World Sickle Cell Day each June and the SCD awareness month in September. Additional patients were identified through active surveillance of previously participating patients in the MSC.ResultsThree thousand eight hundred patients were enrolled between October 2017 and May 2021. Of these, 1,946 (51.21%) were males and 1,864 (48.79%) were females. The hemoglobin phenotype distribution was 3,762 (99%) HbSS, 3 (0.08%) HbSC and 35 (0.92%) HbSβ +thalassemia. Hemoglobin levels, admission history, blood transfusion and painful events were recorded from December 2017 to May 2021.ConclusionThe Tanzania SPARCO registry will improve healthcare for SCD in Africa through the facilitation of collaborative data-driven research for SCD.