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Scoping Review Method, Data, （ > 2 independent groups ) - Coggle Diagram

- - - - ( PTs had in-person usual care )
    - - ( PTs had video/phone consults + remote monitoring )
  - - - Average (mean) LDL-C = 110
        
        10-point difference is real or just by chance ?
        
        H₀ (no difference)
        
        μ₁ = μ₂
        Telemean = Control mean
        
        2-sample t-test:
        
        p < 0.05
        
        reject H₀
        
        1 more item...
        
        H₁ (difference)
        
        μ₁ ≠ μ₂
        Tele mean ≠ Control mean
    - - Average (mean) LDL-C = 120
- - - - Study design
        
        50 patients with high LDL-C
      - Measure
        
        LDL-C before starting tele, and again after 6 mths of tele
      - Data (averages)
        
        Before
        
        Mean LDL-C = 130 mg/dL
        
        After
        
        Mean LDL-C = 118 mg/dL
        
        Step 1: Form Hypotheses
        
        H₀ (no change): Mean before = Mean after
        
        Step 2: Choose Test
        
        paired t-test
        
        Step 3: Mean Difference
        
        1 more item...
        
        H₁ (change): Mean before ≠ Mean after
- - - - Standard treatment (n = 207)
      - Standard treatment + telemedicine (n = 168)
      - Analysis
        
        Independent t-tests
- - - - Between-groups variance (how much each group mean differs from overall mean)
      - Within-groups variance (how much individual numbers differ from their group mean)
    - - F ratio
        
        eg, F(3, 371) = 8.2, p < 0.001.
        
        Since p < 0.05 → reject H₀.
        ✅ At least one telehealth approach lowers LDL-C significantly compared to standard care.
        
        If F is big → group means are very different.
        
        If F is small → group means are similar.