# The Elusive Path Toward Measuring Health Outcomes: Lessons Learned From a Pseudo-Randomized Controlled Trial of a Large-Scale Mobile Health Initiative

**Type:** Papers  
**Canonical URL:** https://scholariq.org/papers/the-elusive-path-toward-measuring-health-outcomes-lessons-learned-from-a-pseudo/

## Facts

| Field | Value |
| --- | --- |
| Author Names | Patricia Mechael,Nadi Kaonga,Subhashini Chandrasekharan,Prakash Muthuperumal,Joanne Peter,Aakash Ganju,Nirmala Murthy |
| Citations | 8 |
| DOI | 10.2196/14668 |
| Fields | Computer Science,Health Professions |
| Open Access | true |
| OA Status | gold |
| OA URL | https://doi.org/10.2196/14668 |
| OpenAlex ID | https://openalex.org/W2969717523 |
| PMID | 31436165 |
| Type | article |
| Year | 2019 |

## Paper authors

- [Prakash Muthuperumal](https://scholariq.org/researchers/prakash-muthuperumal/)

## Paper primary topic

- [Mobile Health and mHealth Applications](https://scholariq.org/topics/mobile-health-and-mhealth-applications/)

## Paper topics

- [Mobile Health and mHealth Applications](https://scholariq.org/topics/mobile-health-and-mhealth-applications/)
- [ICT in Developing Communities](https://scholariq.org/topics/ict-in-developing-communities/)
- [Context-Aware Activity Recognition Systems](https://scholariq.org/topics/context-aware-activity-recognition-systems/)

---
Source: ScholarIQ — public research metadata, principally OpenAlex. See https://scholariq.org/sources/ for provenance and https://scholariq.org/methodology/ for what these figures mean.