01-Analyses

TL;DR

Doctors reported the issues in the control articles as being relevant to their experience.
Positive affect was higher (after reading articles) in active versus passive control.
Responses to the noncompliant patient in the scenario were slightly more negative after strike 1 for active control, but differences levelled out for strike 2.

Pre-Items

To what extent do you agree that this is a big issue facing healthcare providers

Patient noncompliance

   vars  n mean   sd median trimmed mad min max range  skew kurtosis   se
X1    1 30 5.17 0.75      5    5.25   0   3   6     3 -0.74     0.48 0.14

Personnel issues

   vars  n mean   sd median trimmed mad min max range  skew kurtosis   se
X1    1 30 5.47 0.63      6    5.54   0   4   6     2 -0.68    -0.63 0.11

Burnout

   vars  n mean   sd median trimmed mad min max range  skew kurtosis  se
X1    1 30  5.5 0.57      6    5.54   0   4   6     2 -0.53    -0.86 0.1

Difficult patients

   vars  n mean   sd median trimmed  mad min max range  skew kurtosis   se
X1    1 30  5.1 0.71      5    5.12 0.74   4   6     2 -0.13    -1.09 0.13

Manipulation Check

How much do the articles reflect your experience as an HCP?

   vars  n mean   sd median trimmed mad min max range  skew kurtosis   se
X1    1 14 5.57 0.51      6    5.58   0   5   6     1 -0.26    -2.07 0.14

Positive & Negative affect


    Welch Two Sample t-test

data:  data$PANAS_pos by data$Condition
t = 1.9233, df = 24.128, p-value = 0.06632
alternative hypothesis: true difference in means between group Control_Active and group Control_Passive is not equal to 0
95 percent confidence interval:
 -0.4837389 13.7694532
sample estimates:
 mean in group Control_Active mean in group Control_Passive 
                     36.64286                      30.00000


    Welch Two Sample t-test

data:  data$PANAS_neg by data$Condition
t = 0.26659, df = 23.458, p-value = 0.7921
alternative hypothesis: true difference in means between group Control_Active and group Control_Passive is not equal to 0
95 percent confidence interval:
 -3.797617  4.922617
sample estimates:
 mean in group Control_Active mean in group Control_Passive 
                      15.0000                       14.4375

Scenario

How severe is this patient’s pain?


    Welch Two Sample t-test

data:  as.numeric(data$severe) by data$Condition
t = 1.6689, df = 26.75, p-value = 0.1068
alternative hypothesis: true difference in means between group Control_Active and group Control_Passive is not equal to 0
95 percent confidence interval:
 -0.2505222  2.4290936
sample estimates:
 mean in group Control_Active mean in group Control_Passive 
                     7.214286                      6.125000

This is frustrating


    Welch Two Sample t-test

data:  as.numeric(data$frustrating_1) by data$Condition
t = 1.5497, df = 27.638, p-value = 0.1326
alternative hypothesis: true difference in means between group Control_Active and group Control_Passive is not equal to 0
95 percent confidence interval:
 -0.1728093  1.2442379
sample estimates:
 mean in group Control_Active mean in group Control_Passive 
                     4.285714                      3.750000


    Welch Two Sample t-test

data:  as.numeric(data$frustrating_2) by data$Condition
t = 0.9973, df = 27.746, p-value = 0.3272
alternative hypothesis: true difference in means between group Control_Active and group Control_Passive is not equal to 0
95 percent confidence interval:
 -0.2166125  0.6273268
sample estimates:
 mean in group Control_Active mean in group Control_Passive 
                     4.642857                      4.437500

This patient is lazy


    Welch Two Sample t-test

data:  as.numeric(data$lazy_1) by data$Condition
t = 1.4573, df = 27.378, p-value = 0.1564
alternative hypothesis: true difference in means between group Control_Active and group Control_Passive is not equal to 0
95 percent confidence interval:
 -0.2216988  1.3109845
sample estimates:
 mean in group Control_Active mean in group Control_Passive 
                     2.857143                      2.312500


    Welch Two Sample t-test

data:  as.numeric(data$lazy_2) by data$Condition
t = -0.40177, df = 27.76, p-value = 0.6909
alternative hypothesis: true difference in means between group Control_Active and group Control_Passive is not equal to 0
95 percent confidence interval:
 -0.9259605  0.6223891
sample estimates:
 mean in group Control_Active mean in group Control_Passive 
                     3.285714                      3.437500

This patient is honest


    Welch Two Sample t-test

data:  as.numeric(data$honest_1) by data$Condition
t = 0.6381, df = 27.64, p-value = 0.5287
alternative hypothesis: true difference in means between group Control_Active and group Control_Passive is not equal to 0
95 percent confidence interval:
 -0.3950126  0.7521555
sample estimates:
 mean in group Control_Active mean in group Control_Passive 
                     4.428571                      4.250000


    Welch Two Sample t-test

data:  as.numeric(data$honest_2) by data$Condition
t = -0.34991, df = 27.888, p-value = 0.729
alternative hypothesis: true difference in means between group Control_Active and group Control_Passive is not equal to 0
95 percent confidence interval:
 -1.1629339  0.8236482
sample estimates:
 mean in group Control_Active mean in group Control_Passive 
                     3.642857                      3.812500

This patient is exaggerating their pain


    Welch Two Sample t-test

data:  as.numeric(data$exaggerate_1) by data$Condition
t = -1.1184, df = 27.995, p-value = 0.2729
alternative hypothesis: true difference in means between group Control_Active and group Control_Passive is not equal to 0
95 percent confidence interval:
 -1.036538  0.304395
sample estimates:
 mean in group Control_Active mean in group Control_Passive 
                     2.071429                      2.437500


    Welch Two Sample t-test

data:  as.numeric(data$exaggerate_2) by data$Condition
t = -1.0235, df = 27.953, p-value = 0.3148
alternative hypothesis: true difference in means between group Control_Active and group Control_Passive is not equal to 0
95 percent confidence interval:
 -1.4203654  0.4739369
sample estimates:
 mean in group Control_Active mean in group Control_Passive 
                     2.714286                      3.187500

I feel like giving up on this patient


    Welch Two Sample t-test

data:  as.numeric(data$givingUp_1) by data$Condition
t = 0.39071, df = 26.931, p-value = 0.6991
alternative hypothesis: true difference in means between group Control_Active and group Control_Passive is not equal to 0
95 percent confidence interval:
 -0.6074473  0.8931616
sample estimates:
 mean in group Control_Active mean in group Control_Passive 
                     2.142857                      2.000000


    Welch Two Sample t-test

data:  as.numeric(data$givingUp_2) by data$Condition
t = -0.33303, df = 27.381, p-value = 0.7416
alternative hypothesis: true difference in means between group Control_Active and group Control_Passive is not equal to 0
95 percent confidence interval:
 -1.1502361  0.8288076
sample estimates:
 mean in group Control_Active mean in group Control_Passive 
                     2.714286                      2.875000