Rheumatoid arthritis

Self-evidence-based digital care programme improves health-related quality of life in adults with a variety of autoimmune diseases and long COVID: a retrospective study

RMD OpenPublished Retrospective cohort study

Authors' conclusion

An evidence-based DCP that uses patient data to help identify hidden symptom triggers and guide personalised dietary and other non-pharmacological interventions was associated with a high level of engagement and adherence and statistically significant, clinically meaningful improvements in HRQoL. Those with the least favourable PROMIS scores at BL experienced the greatest improvements.

Study context

Population
Adults (17–82 years) with a variety of autoimmune diseases and long COVID who participated in the digital care programme (DCP) between April 2020 and June 2022, with baseline (BL) and end-of-programme (EOP) Patient-Reported Outcomes Measurement Information System (PROMIS) scoresRA 20.1%
Participants
202 adults
Exposure
End of digital care programme vs baseline
  • DCPn = 202
Outcome
Change in health-related quality of life (HRQoL) (PROMIS standardised T-scores) from BL to EOP
Follow-up
End of programme
Methodological detailssingle-group, pre-post (BL to EOP)
  • Single-group
  • Pre-post (BL to EOP)

Main finding

As reported in the abstract

HRQoL change BL to EOP, 10 PROMIS domains
  • Statistically significant improvements in all 10 PROMIS domains analysed

Observational data: associations, not effects.

Further findings

Engagement and adherence

Observations entered, average per day
7.6 times/day
Programme days with observations entered, average
86%
Coach sessions attended, average
14
Time to complete programme, average
17.2 weeks

PROMIS domains in individuals with higher severity of compromise at BL (subgroup) · EOP

Greater average improvements than all-comers in all 10 PROMIS domains

Original publication

Self-evidence-based digital care programme improves health-related quality of life in adults with a variety of autoimmune diseases and long COVID: a retrospective study. RMD Open. Published 16 May 2023. doi:10.1136/rmdopen-2023-003061

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