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Table 1 Outcomes, variables, measures and methods of analysis

From: The low indexes of metabolism intervention trial (LIMIT): design and baseline data of a randomized controlled clinical trial to evaluate how alerting primary care teams to low metabolic values, could affect the health of patients aged 75 or older

Outcome

Hypothesis

Outcome Measure

Analysis Methods

Primary

Deathsa

Intervention decreases overall mortality

All-cause mortality [binary]

Chi-squared test

Secondary

Nurse evaluation

Intervention enhances rate

Having a nurse evaluation within a year [binary]

Chi-squared test

Dietitian visit in low BMI (<23 kg/m2) participants

Intervention enhances rate

Having a dietitian visit within a year [binary]

Chi-squared test

Dispensed anti-diabetic drugs in criterion b patients

Intervention reduces drug-dispensing

WHO DDD of anti-diabetics in first 3 months [continuous]

T-test/ Wilcoxon

Dispensed cholesterol-lowering drugs in criterion c patients

Intervention reduces drug-dispensing

DDD of cholesterol-lowering drugs in first 3 months [continuous]

T-test/ Wilcoxon

Cost

Intervention reduces medical costs

Total CHS expense per patient [continuous]

T-test/ Wilcoxon

Total drug use

Intervention reduces use

Yearly average total DDD [continuous]

T-test/ Wilcoxon

Emergency room visits

Intervention reduces visits

Annual ER visits [continuous]

T-test/ Wilcoxon

BMI - in low BMI (<23 kg/m2) participants

Intervention decreases weight-loss

BMI change in a year [continuous]

T-test/ Wilcoxon

HbA1c% - in criterion b patients

Intervention increases HbA1c%

HbA1c in a year [continuous]

T-test/ Wilcoxon

Hypoglycemia - in criterion b patients

Intervention decreases hypoglycemia risk

Number of glucose measures <70 mg/dL [continuous]

T-test/ Wilcoxon

Hypocholesterolemia - in criterion c patients

Intervention decreases hypocholesterolemia

Number of cholesterol measures <160 mg/dL in a year [continuous]

T-test/ Wilcoxon

Subgroup analyses will include

Tertiles of BMI, HbA1c% and cholesterol

Participants with lower indexes may benefit more

 

Regression methods with appropriate interaction

Tertiles of Age

Older participants may benefit more

  

Gender

A difference may be found

  

Prior cardiovascular diagnosis vs. none

A difference may be found

  

North vs. South district

Outcomes may be better in the North due to the direct participation of nurses

  
  1. DDD Defined daily dose
  2. aThe effect on mortality will also be analyzed for each LIMIT subgroup that has a sufficient number of participants (groups: A, B, C, F; see Table 4)