The final questionnaire consists of three sections with 55 closed questions and one open-ended question. (Appendix 1 contains the final questionnaire in Spanish and English).
Content and face validation and feasibility were conducted through the debriefing sessions held with the medical associations which led to the incorporation of questions related to the role of these associations in the process of doctors falling ill and on the periodic revalidation. The debriefing sessions held with experts from PAIME led to questions on the availability of services to manage ill doctors. Furthermore, in order to facilitate comparison with general population of same age and level of education, the experts suggested the incorporation of 11 questions from the ESNE17.
The median completion time recorded by the online platform was 10–12 minutes, which was quite an optimal period. With regard to the form, method and time required to classify the scale scores, the survey was very easy to fill as the items were categorically arranged and many of them were also rated by a Likert-like scale. Finally, in terms of the consideration of the person who filled the survey, the questions were highly focused in the field of healthcare and physicians’ experiences, and the survey was only available through the websites of medical associations, so there was a need to be a registered doctor to access and answer.
The questionnaire was completed by a total of 4,308 physicians, of whom 1,858 were men (43.13%) and 2,450 women (56.87%). Considering professional stages, more female junior doctors (73.06%) than male (26.94%) took part. With regard to medical specialists, female representation was also higher (59.37%) than men (40.63%). Finally, the retired doctors group comprised a majority of men (73.08%). The mean age of the male participants (54.78 ± 11.87 years) was higher than that of the female participants (45.95 ± 11.76) in all professional stages, with statistically significance among medical specialists and retired doctors (Table-1).
Table 1: Distribution by age, sex and professional category of sample
|
|
Professional category
|
Sex
|
Professional
|
Mean
|
SD*
|
P Value
|
Junior doctors
|
Male
|
97
|
31.67
|
9.91
|
|
|
Female
|
263
|
28.90
|
5.95
|
p > 0.05
|
Medical Specialists
|
Male
|
1,408
|
52.93
|
9.24
|
|
|
Female
|
2,057
|
46.84
|
9.69
|
P < 0.05
|
Retired doctors
|
Male
|
353
|
68.48
|
5.09
|
|
|
Female
|
130
|
66.43
|
5.58
|
P < 0.05
|
Total of doctors
|
Male
|
1,857
|
54.78
|
11.87
|
|
Female
|
2,449
|
45.95
|
11.76
|
P < 0.05
|
Total
|
4,306
|
49.76
|
12.59
|
|
*SD: Standard Deviation |
The fact that our initial estimated sample was 3,662 medical practitioners and the current sample is slightly bigger reinforced the feasibility of the questionnaire. Only three questions were not answer by all participants (Table-2).
|
Tabla-2: Distribution and percentage of unanswered items in BADOI
|
Items
|
|
Answers
|
Participants
|
%Answers
|
% No Answered
|
p21
|
21. What was the main reason that any of your health problems was the result of or worsened because of your professional activity? 1. The level of responsibility in your profession. 2. Overwork and working hours. 3. The impact of a medical error or errors experienced with your patients. 4. Another reason (give details in the following question)
|
1,952.00
|
4,308.00
|
45.31
|
54.69
|
p25
|
25. The main reason you went to work while you were ill was…1. Your responsibility to your patients; 2. To not overburden your colleagues; 3. Fear of losing your contract; 4. To keep up your regular income
|
3,850.00
|
4,308.00
|
89.37
|
10.63
|
p36
|
36. Is your GP your spouse/partner, a family member or close friend?
|
4,186.00
|
4,308.00
|
97.17
|
2.83
|
|
The rest of items were answered by 100% of the sample size
|
|
With regard to the construct validity, EFA was performed to corroborate the questionnaire dimensions and to analyse the distribution of items into the dimensions. The KMO value was 0.8193, which was good and justified the use of this multivariating technique. Bartlett’s Test of Sphericity obtained a p-value of < 0.001, indicating that the items were related and confirming the use of EFA. For the calculation of CFA, the NFI was used, with an NFI value of 0.721 indicating good model fit. The RMSEA index score below 0.109 indicated that model fit was within acceptable limits. The CFI index score of 0.859 indicated good model fit.
Five dimensions were selected as a solution to the CFA, fulfilling the Kaiser rule, selecting all factors whose eigenvalues were greater than one. The factor model with the five factors explained 78.08% of model variance, a high value. Table-3 shows the variance that explains each of the factors, and their aggregate value.
Table 3
Variance for every factors in the factor analysis and Crombach's Alpha Index
Factor
|
Actual Variance
|
Difference
|
% Variance of factors
|
% Total Variance
|
CAI
|
Factor 1
|
3.09456
|
1.16497
|
26.75
|
26.75
|
0.8045
|
Factor 2
|
1.92959
|
0.18723
|
16.68
|
43.42
|
0.6764
|
Factor 3
|
1.74236
|
0.59075
|
15.06
|
58.48
|
0.5722
|
Factor 4
|
1.15161
|
0.03609
|
9.95
|
68.44
|
0.6790
|
Factor 5
|
1.11552
|
0.28656
|
9.64
|
78.08
|
0.6924
|
*C.A.I.: Crombach's Alpha Index |
Table-4 provided the distribution of items within each factor. Factor 1 explained 26.75% of the model. It grouped 3 questions concerning the relationship between illness and work (p18, p20 and p21); Factor 2 explained 16.68% of the model. It was formed by mental health issues, impact of work on health and the weighting of toxic habits (consumption of toxic substances). Factor 3, explaining 15.06%, was made of sick leave and presenteeism; Factor 4, which explained 9.95%, included items related to the handling of an ill colleague and medical associations. Finally, Factor 5, which explained 9.64% of the model, contained questions related to the healthcare given to ill physicians and the revalidation of medical profession.
Table-4: Distribution of KMO values per item and distribution of items in each factor. [Table exceed a A4 page so we have attached it as a separate excel file]
To conclude, the internal consistency and homogeneity of the instrument was analysed by Crombach’s Alpha Index for each dimension from the CFA. The final column of Table-3 shows the values obtained, which are high and close to one for each factor. Each of the factors is consistent in the sense that the items that it comprises are stable in the dimension.