RNOtherNursing research2020

Two Methods for Calculating Symptom Cluster Scores.

Rebecca E Salomon, Jamie Crandell, Keely A Muscatell and 3 others

PMID 31804434

WHAT IT FOUND

A simple equal-weight symptom score and a weighted symptom score tracked each other closely in low-income mothers.

The weighted score showed pain and depressed mood mattered most for functioning.

Key findings

01The two symptom scores were correlated at 0.93, above the threshold of 0.89 set before analysis.

02The five symptoms explained 53.7% of variation in mothers' functioning; depressed mood accounted for 37.2% and pain 15.0%.

03The composite score gave each symptom equal weight, while the RRR score weighted symptoms by their association with function.

STILL TO COME

How it was doneWhat they foundWhat it means for RNs

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What it does not show

The study used baseline data from two intervention projects, so it did not test any treatment or clinical assessment. Symptoms were measured with short self-report items, including single items for some symptoms, so measurement error is possible. The composite and reduced rank regression analyses used different final samples because more mothers were missing functional outcome data than symptom data. The authors chose the 0.89 threshold for calling the composite score sufficient, and no established threshold existed. The sample was low-income mothers from two U.S. sites, so the scoring comparison may not apply to other populations. The weights were specific to mothers' function, so another outcome could produce a different symptom pattern.

Declared interests

The authors report no conflicts. The two parent studies were funded by NIH grants R01 MH065524 and R34 MH086553.

The easy way to misread this

Do not read the pain and depressed mood weights as proof that treating those symptoms improves function. This paper compared symptom-scoring methods in one dataset and did not test any intervention.

Read it on PubMed →