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Table 1 DESCRIPTIVE measures, variable- oriented hypotheses

From: Analyzing repeated data collected by mobile phones and frequent text messages. An example of Low back pain measured weekly for 18 weeks

Research question

Outcome

Method of analysis

Results from the model data set

All respondents, n = 244

Highly compliant respondents, answering 80% (≥15/18 weeks), n = 161

1A: Crude outcome

Total number of 1: days with pain from 18 weekly measures, 2: weeks reported

Summaries.

1: Mean 33.0, Range 0 – 126 Short duration: Mean 24.5, Range 0-124 Long duration: 41.1, Range 0-126 2: Mean 15.2. Range 2-18

1: Mean 36.4. Range 0-126 Short duration: Mean 27.4, Range 0-124 Long duration: mean 45.4, Range 4-126 2: Mean 17.3, Range 15-18

1B: Difference in weekly outcome between groups

Average number of pain days per week

Student’s t-test

Short duration: 1.6 Long duration: 2.8 p < 0.001

Short duration: 1.6 Long duration: 2.6 p < 0.001

2A: Proportion with different levels of the condition

Incidence of recovered = reporting 0 pain days week by week

Proportion, i.e. percentage of subjects who are recovered compared to those who are not

Illustrated in Figure 1a Proportions recovered week 8: Short duration: 58.6% Long duration: 30.7% OR = 3.19 (1.88 – 5.72) RR = 1.8 (1.62 – 1.93) Long duration reference category

Illustrated in Figure 1b Proportions recovered week 8: Short duration: 58.3% Long duration: 32.5% OR = 2.91 (1.50 – 5.65) RR = 1.66 (1.51 – 1.83) Long duration reference category

2B: Incidence at a prespecified time point

Proportion of patients recovered = reporting 0 or 1 pain days at the chosen time, e.g. the 5th week

Logistic regression (or other generalised linear regression models)

Short duration: 58.7% Long duration: 27.7% OR = 3.71 (2.1-6.6) RR = 1.75 (1.4 – 2.3) Long duration reference category

Short duration: 58.2% Long duration: 28.0% OR = 3.58 (1.8 - 7.0) RR = 1.72 (1.34 – 2.3) Long duration reference category