Predictors of Treatment Outcomes for Patients with Persistent Physical Symptoms
Author Information
Author(s): Abrahamsen Cathrine, Wangen Knut Reidar, Lindbaek Morten, Werner Erik Lønnmark
Primary Institution: University of Oslo
Hypothesis
Patients with depression and those manifesting multiple symptoms would face an elevated risk of experiencing an unfavourable treatment outcome.
Conclusion
Living alone and receiving long-term benefits are significant predictors of improved outcomes for patients treated with the ICIT.
Supporting Evidence
- Living alone predicted improvement in the adjusted model.
- Receiving long-term benefits predicted improved PGIC in both unadjusted and adjusted models.
- Living alone predicted reduced sick leave in the adjusted model.
Takeaway
This study found that patients who live alone or receive long-term benefits are more likely to improve when treated with a special communication tool by their doctor.
Methodology
Regression analyses of the intervention group were used to identify predictors of improvements in Patient Global Impression of Change (PGIC) and sick leave after 11 weeks follow-up.
Potential Biases
Finding clear connections between participant characteristics and the efficacy of the conversation tool may be challenging due to the high percentage of participants reporting improvements.
Limitations
The study had a relatively short follow-up period of 11 weeks, which may not capture long-term outcomes.
Participant Demographics
84% female, average age 45 years, 58% reported feelings of depression within the past week.
Statistical Information
P-Value
0.014, 0.011, 0.040, 0.032
Confidence Interval
1.33 to 12.25, 1.21 to 4.39, 1.04 to 5.83, 1.11 to 9.42
Statistical Significance
p<0.05
Digital Object Identifier (DOI)
Want to read the original?
Access the complete publication on the publisher's website