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Treadwell JR, Reston JT, Rouse B, et al. Automated-Entry Patient-Generated Health Data for Chronic Conditions: The Evidence on Health Outcomes [Internet]. Rockville (MD): Agency for Healthcare Research and Quality (US); 2021 Mar. (Technical Brief, No. 38.)

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Automated-Entry Patient-Generated Health Data for Chronic Conditions: The Evidence on Health Outcomes [Internet].

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Table 4Obesity: categorization of isolated effects on surrogate outcomes due to device presence/absence

Specific OutcomeAll Results Were p<0.05 in Favor of PGHDMixed Results,* but Most p<0.05 Results Favored PGHDNo Results Were Statistically SignificantMixed Results,* but Most p<0.05 Results Against PGHDAll Results p<0.05 Against PGHD
BMIAA, B, B, B, B, B, B, C
WeightA, B, CB, C
Surrogate outcomes not reported by 1 isolated-effect study

Statement about surrogate outcomes: Likely no effect

Note: This table only displays studies that used an isolated-effect design to compare the presence vs. absence of a PGHD device. p<0.05 refers to whether the effect was statistically different from a null effect.

A: Low risk of bias study of an isolated effect; B: Moderate risk of bias study of an isolated effect; C: High risk of bias study of an isolated effect

*

“Mixed results” means that a study investigated either multiple time points (e.g., both 13 weeks and 26 weeks) or multiple comparisons (e.g., PGHD device A vs. no device, and PGHD device B vs. no device), and data showed statistical significance for some but not all time points/comparisons.

BMI = body mass index; PGHD = patient generated health data.

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