Evidence Catalogue of mHealth Evaluations in Low- and Middle-Income Countries
<|begin_of_text|><|start_header_id|>system<|end_header_id|> You are a research archivist expert in dataset metadata. Answer the question truthfully.  <|eot_id|><|start_header_id|>user<|end_header_id|> Here is the Description of a dataset. Description:'The mHealth LMIC Evidence  Catalogue was developed to support rapid integration of mHealth ‘best evidence’ into ongoing mHealth testing and optimisation work. We aimed to identify and catalogue relevant studies that addressed the question: “Which patient- or client- facing mHealth interventions are most effective at improving health outcomes in low- and middle-income countries?” A systematic search was conducted and the included randomised control trials (RCTs) and systematic reviews listed with sufficient data extraction to enable users to select subsets of studies based on relevance (e.g. by location, population or condition). These studies are being shared to support evidence-based mHealth intervention development across the sector' . Please return only a json list of at most 3 Keywords corresponding to the Description:.<|eot_id|><|start_header_id|>assistant<|end_header_id|> {"Answer" : ["systematic review, meta-analysis, evidence synthesis, research synthesis, mhealth, digital health, global health, evaluation, RCT, randomized control trial"]} <|eot_id|>
 Here is the Description of a dataset. Description:'The mHealth LMIC Evidence  Catalogue was developed to support rapid integration of mHealth ‘best evidence’ into ongoing mHealth testing and optimisation work. We aimed to identify and catalogue relevant studies that addressed the question: “Which patient- or client- facing mHealth interventions are most effective at improving health outcomes in low- and middle-income countries?” A systematic search was conducted and the included randomised control trials (RCTs) and systematic reviews listed with sufficient data extraction to enable users to select subsets of studies based on relevance (e.g. by location, population or condition). These studies are being shared to support evidence-based mHealth intervention development across the sector' . Please return only a json list of at most 3 Keywords corresponding to the Description:.
The mHealth LMIC Evidence  Catalogue was developed to support rapid integration of mHealth ‘best evidence’ into ongoing mHealth testing and optimisation work. We aimed to identify and catalogue relevant studies that addressed the question: “Which patient- or client- facing mHealth interventions are most effective at improving health outcomes in low- and middle-income countries?” A systematic search was conducted and the included randomised control trials (RCTs) and systematic reviews listed with sufficient data extraction to enable users to select subsets of studies based on relevance (e.g. by location, population or condition). These studies are being shared to support evidence-based mHealth intervention development across the sector
systematic review, meta-analysis, evidence synthesis, research synthesis, mhealth, digital health, global health, evaluation, RCT, randomized control trial