Arq Neuropsiquiatr
anp
Arquivos de Neuro-Psiquiatria
Arq. Neuro-Psiquiatr.
0004-282X
1678-4227
Academia Brasileira de Neurologia - ABNEURO
RESUMO
Introdução:
A enxaqueca é uma causa importante de incapacidade, afetando diversos domínios, incluindo a produtividade no trabalho. Avaliar o absenteísmo e o presenteísmo decorrentes da enxaqueca, por meio de ferramentas adequadas, é essencial para melhor conhecer o impacto desta doença.
Objetivo:
O objetivo deste estudo foi avaliar o impacto da enxaqueca sobre a produtividade no trabalho utilizando a versão em português do questionário Work Productivity and Activity Impairment (WPAI).
Métodos:
Para a realização desta pesquisa utilizou-se o aplicativo Dr. Cefaleia para Médicos com os seguintes questionários: “ID-Migraine”, “Headache Impact Test - HIT-6” e o WPAI. Os dados foram coletados durante um mutirão de conscientização sobre cefaleias. Foram avaliadas as correlações entre o impacto da enxaqueca (HIT-6) com os parâmetros do WPAI: a) tempo de trabalho perdido (absenteísmo), b) comprometimento do trabalho (presenteísmo), c) perda geral de produtividade (absenteísmo+presenteísmo), e d) comprometimento das atividades fora do trabalho.
Resultados:
Foram entrevistados 305 indivíduos com cefaleia, sendo que 167 dos casos foram classificados como enxaqueca. Não foram encontradas diferenças significativas no impacto da enxaqueca de acordo com o sexo (p=0,8) nem a modalidade de trabalho (p=0,8). As mulheres tiveram maior absenteísmo (p<0,001) mas não houve diferenças significativas entre os sexos quanto ao presenteísmo (p=0,3). Tanto os escores de absenteísmo quanto de presenteísmo do WPAI correlacionaram-se significativamente com o impacto da enxaqueca (HIT-6).
Conclusões:
Os resultados descritos sugerem que a versão em português do WPAI foi eficiente em avaliar o impacto no trabalho relacionado à enxaqueca. O uso de um aplicativo contendo questionários validados facilita pesquisas sobre o impacto da enxaqueca em diferentes populações, permitindo uma melhor compreensão do ônus resultante desta doença.
Migraine is a very frequent disorder with high impact on quality of life and work activities1,2,3. The migraine impact on work productivity can be evaluated by two variables, absenteeism and presenteeism. The latter is defined by working while sick, causing loss of productivity, worsening of health conditions of the worker, and costs4. The overall average of lost working days due to migraine is 4.4 workdays per year and the average worked days with reduced productivity is 11.4 days per year5. The most important determinant of migraine burden is presenteeism5. A recent study in 11 countries showed that the overall work impairment due to migraine in subjects with ≥4 migraine days each month was found in 52% of the subjects, being more attributable to presenteeism than absenteeism (48 vs. 13%, respectively)6.
Assessing presenteeism is more difficult than assessing absenteeism; therefore, the use of validated and standardized scales is desirable. Work Productivity and Activity Impairment (WPAI) questionnaire measures the effect of different health conditions on work productivity, generating scores for absenteeism, presenteeism, absenteeism plus presenteeism, and activity impairment outside work7,8. WPAI has been validated in several different languages, including Brazilian Portuguese9. The WPAI can be adapted to a specific disease or health problem and was previously used in studies assessing migraine impact, but no previous studies have used this questionnaire to assess impact on work due to migraine in Brazil10.
The contribution of mobile apps in the study of migraine has been assessed, showing potential contribution in the assessment of this disease11. In the present study, we assessed the work impact of migraine using a smartphone app that was specifically developed for headache impact surveys.
METHODS
Population
The data were collected during a headache awareness event that was carried out in three subway stations in the city of São Paulo, Brazil. The participants were informed about research, were asked to sign an informed consent form, and answered the questionnaires to the interviewers, who were medical students or Neurology residents at “Santa Casa de Misericórdia de São Paulo”, Brazil. During the event, the participants received educational information regarding headaches. This study was approved by “Santa Casa de Misericórdia de São Paulo” Ethics Committee on Human Research.
APP
The app “Dr Cefaleia” for doctors was used. We developed an app functionality that was specifically designed to conduct research on headache impact. This app was created by one of the authors (RBD) and developed by R2T Rebel Thinking Tech developers. The interviewers downloaded the app in their smartphones, and use permission was given for the involved researchers. Sociodemographic information, including age, sex, and work activities were collected. The work activities were classified as employee (full time or part-time) or self-employed. After this first step, the following questionnaires were applied with the app: ID migraine, in its validated Brazilian Portuguese version11,12,13,14, Brazilian Portuguese validated Headache Impact Test (HIT-6)15,16, and Brazilian Portuguese migraine/headache WPAI9.
The questionnaire answers were stored in the Cloud with encrypted personal data, automatically generating datasheets that were further statistically analyzed.
Data analysis
Socio-demographic data were expressed as mean±SD or percentages. The headache was considered as migraine in subjects who answered “Yes” to at least two out of the three questions of the Migraine ID-questionnaire11,12,13,14. Only data from subjects considered to have migraine were included in the present analysis. Normality of data was assessed with the Kolmogorov-Smirnov test and mean comparisons were performed with the Stundent’s t test. Pearson’s correlation test was used to assess the correlation between HIT-6 score with the four scores obtained with WPAI: work time missed (absenteeism), impairment at work (presenteeism), overall work productivity loss (absenteeism+presenteeism), and activity impairment outside the work.
RESULTS
The use of the app was considered easy by the interviewers and the interviews lasted less than 15 minutes. All the questionnaires were completed successfully, and no interview was interrupted due to technical issues.
Overall, 305 subjects were interviewed during the awareness event and 167 of them were classified as having migraine. Among them, 72.9% were women, aged 32.4±11.1 years. Thirty-two migraine subjects were excluded of WPAI analysis because they declared no work activity. Figure 1 shows a flow-chart describing all the steps of the study with the number of included and excluded subjects in each step. The mean HIT-6 of the studied population was 63.4±9.0 (range 33 to 78). No significant difference in HIT-6 of female (64.5±8.6) and male (59.7±8.5) subjects was found (p=0.8). The modality of work did not significantly affect HIT-6 either, being 63.8±9.0 for employees and 59.3±8.2 for self-employed (p=0.8).
Figure 1.
Flow-chart with all the steps of the study and the number of included and excluded subjects in each of the steps.
The WPAI parameters are shown in Table 1. No significant differences of WPAI scores were found between employees and self-employed. Female subjects had significantly higher absenteeism due to migraine, but the scores of presenteeism and absenteeism+presenteeism were not significantly different between men and women (p=0.27 and 0.30, respectively). No differences in WPAI scores were found according to the modality of work. All four WPAI scores were significantly correlated with HIT-6 (Figure 2).
Table 1.
Work Productivity Impairment (WPAI) Migraine/Headache scores (%) according to sex and work activity.
Work time missed (absenteeism)
Impairment at work (presenteeism)
Overall work productivity loss (absenteeism+presenteeism)
Activity impairment (outside work)
General
0.4±1.1
54.0±33.2
54.7±33.4
62.2±29.1
Female
0.5±1.3
59.9±32.5
60.3±31.8
68.2±26.5
Male
0.0±0.2
36.3±33.5
36.3±33.5
42.7±29.7
p-value
<0.0001
0.27
0.30
0.22
Employees
0.4±1.2
57.0±32.4
57.1±32.2
63.8±27.8
Self-employed
0.2±0.7
36.0±34.4
36.0±34.1
48.6±36.4
p-value
0.15
0.59
0.59
0.06
Figure 2.
Correlations between migraine impact assessed with Headache Impact Test (HIT-6) score (36‒78) with the four Work Productivity Impairment (WPAI) Migraine/Headache scores (%): Work Time Missed (absenteeism), Impairment at Work (presenteeism), Overall Work Productivity Loss (absenteeism+presenteeism), and activity impairment (percentage of daily activity impairment outside work).
DISCUSSION
Assessing the loss of work productivity due to migraine is difficult. However, this is a very relevant topic since migraine is one of the most burdensome neurological diseases5,17,18. In the present work, we employed some validated questionnaires and we used an app specifically developed for this type of survey. The use of this tool facilitated the conduction of the survey. The precise time of interviews could not be assessed since they were carried out during an awareness event and, besides the interviews, the participants received information about headache treatment by the interviewers. The datasheets with survey results were automatically generated, facilitating data analysis. Besides being directly used by the interviewers, the content of the app can also be delivered by mail to the interviewees, as well as being programmed for being downloaded in the smartphone of predetermined groups of interviewees. This is possible with simple technological adaptations since all the questionnaires are self-assessment tools.
Previous studies have assessed the use of technology in clinical and research activities related to headache. The use of telemedicine showed to be efficient and safe in the follow-up of patients with headache19,20,21. These studies employed telemedicine equipment or computer programs dedicated to telemedicine19,20,21. Smartphone technology has been used for headache diaries, behavioral interventions, and electronic monitoring of headaches22,23,24,25. Digital technology has the advantage of facilitating information registry, thus enabling the creation of large databases. On the other hand, they may be associated to limitations, such as the use of self-reported questionnaires. In addition, safety concerns arise so that compliance procedures should be adopted to avoid the use of data for targeted advertising26. Therefore, such devices must be tested and scientifically evaluated prior to its use and must be developed under medical expertise to be used as auxiliary tools.
WPAI is a largely used instrument with simple and objective questions. Translation, cross-cultural adaptation, and validation were already carried out in Brazilian Portuguese9; nonetheless, this was the first study assessing migraine work and activity impairment using this tool in Brazil. Our data confirm high migraine related-work disability. There was a trend toward a greater work disability among female participants; however, the only significantly higher score among women was work time missed (absenteeism). This finding is in agreement with previous works showing less migraine-related disability among men27. There were no significant migraine-related impairment differences according to the type of work activity when we compared employees and self-employed. There is still little information about the impact of migraine on work activities, and future studies are still needed to verify the migraine impact in different types of work activities28.
All the WPAI scores significantly correlated with HIT-6. HIT-6 was developed to measure a wide spectrum of factors which contribute to the burden of headache. It is therefore not surprising that we found significant correlations between all the WPAI scores with HIT-6. The advantage of WPAI is that it can be used in research, specifically evaluating the impact of migraine on work productivity and not only for general headache impact, allowing surveys inside companies, organizations, public services, or any other specific working group or population.
The limitations of the study include the cross-sectional design, precluding the establishment of any causal relationship. We did not include a large and representative Brazilian population. Other limitation is that diagnoses were based on a self-reported questionnaire and not confirmed by clinical assessment. Moreover, there was no control of potential confounding factors, such as medical comorbidities, sleep disorders, and psychiatric comorbidities. Psychiatric disorders, particularly depression, have a strong association with migraine and contribute to increase its impact and reduce quality of life when both conditions occur comorbidly29. On the other hand, conducting the study in a public place possibly prevented biases in selecting patients from headache clinics, which tend to have a higher impact and greater work impairment.
In conclusion, our data suggest that the Brazilian Portuguese version of WPAI is a good tool to assess migraine related work impairment. The use of a smartphone app contributes to quicker surveys. The combination of validated questionnaires and digital resources may facilitate research to better understand the migraine impact on the professional life of sufferers.
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Autoria
Renan Barros DOMINGUES
Santa Casa de Misericórdia de São Paulo, São Paulo SP, Brazil.Santa Casa de Misericórdia de São PauloBrazilSão Paulo, SP, BrazilSanta Casa de Misericórdia de São Paulo, São Paulo SP, Brazil.
Santa Casa de Misericórdia de São Paulo, Faculdade de Ciências Médicas, São Paulo SP, Brazil.Santa Casa de Misericórdia de São PauloBrazilSão Paulo, SP, BrazilSanta Casa de Misericórdia de São Paulo, Faculdade de Ciências Médicas, São Paulo SP, Brazil.
Dr Cefaleia Clínica & Telemedicina, São Paulo SP, Brazil.Dr Cefaleia Clínica & TelemedicinaBrazilSão Paulo, SP, BrazilDr Cefaleia Clínica & Telemedicina, São Paulo SP, Brazil.
Santa Casa de Misericórdia de São Paulo, São Paulo SP, Brazil.Santa Casa de Misericórdia de São PauloBrazilSão Paulo, SP, BrazilSanta Casa de Misericórdia de São Paulo, São Paulo SP, Brazil.
Santa Casa de Misericórdia de São Paulo, São Paulo SP, Brazil.Santa Casa de Misericórdia de São PauloBrazilSão Paulo, SP, BrazilSanta Casa de Misericórdia de São Paulo, São Paulo SP, Brazil.
Santa Casa de Misericórdia de São Paulo, Faculdade de Ciências Médicas, São Paulo SP, Brazil.Santa Casa de Misericórdia de São PauloBrazilSão Paulo, SP, BrazilSanta Casa de Misericórdia de São Paulo, Faculdade de Ciências Médicas, São Paulo SP, Brazil.
Santa Casa de Misericórdia de São Paulo, Faculdade de Ciências Médicas, São Paulo SP, Brazil.Santa Casa de Misericórdia de São PauloBrazilSão Paulo, SP, BrazilSanta Casa de Misericórdia de São Paulo, Faculdade de Ciências Médicas, São Paulo SP, Brazil.
Santa Casa de Misericórdia de São Paulo, Faculdade de Ciências Médicas, São Paulo SP, Brazil.Santa Casa de Misericórdia de São PauloBrazilSão Paulo, SP, BrazilSanta Casa de Misericórdia de São Paulo, Faculdade de Ciências Médicas, São Paulo SP, Brazil.
Santa Casa de Misericórdia de São Paulo, Faculdade de Ciências Médicas, São Paulo SP, Brazil.Santa Casa de Misericórdia de São PauloBrazilSão Paulo, SP, BrazilSanta Casa de Misericórdia de São Paulo, Faculdade de Ciências Médicas, São Paulo SP, Brazil.
Santa Casa de Misericórdia de São Paulo, São Paulo SP, Brazil.Santa Casa de Misericórdia de São PauloBrazilSão Paulo, SP, BrazilSanta Casa de Misericórdia de São Paulo, São Paulo SP, Brazil.
Conflict of interest: There is no conflict of interest to declare.
SCIMAGO INSTITUTIONS RANKINGS
Santa Casa de Misericórdia de São Paulo, São Paulo SP, Brazil.Santa Casa de Misericórdia de São PauloBrazilSão Paulo, SP, BrazilSanta Casa de Misericórdia de São Paulo, São Paulo SP, Brazil.
Santa Casa de Misericórdia de São Paulo, Faculdade de Ciências Médicas, São Paulo SP, Brazil.Santa Casa de Misericórdia de São PauloBrazilSão Paulo, SP, BrazilSanta Casa de Misericórdia de São Paulo, Faculdade de Ciências Médicas, São Paulo SP, Brazil.
Dr Cefaleia Clínica & Telemedicina, São Paulo SP, Brazil.Dr Cefaleia Clínica & TelemedicinaBrazilSão Paulo, SP, BrazilDr Cefaleia Clínica & Telemedicina, São Paulo SP, Brazil.
Figure 2.
Correlations between migraine impact assessed with Headache Impact Test (HIT-6) score (36‒78) with the four Work Productivity Impairment (WPAI) Migraine/Headache scores (%): Work Time Missed (absenteeism), Impairment at Work (presenteeism), Overall Work Productivity Loss (absenteeism+presenteeism), and activity impairment (percentage of daily activity impairment outside work).
Table 1.
Work Productivity Impairment (WPAI) Migraine/Headache scores (%) according to sex and work activity.
imageFigure 1.
Flow-chart with all the steps of the study and the number of included and excluded subjects in each of the steps.
open_in_new
imageFigure 2.
Correlations between migraine impact assessed with Headache Impact Test (HIT-6) score (36‒78) with the four Work Productivity Impairment (WPAI) Migraine/Headache scores (%): Work Time Missed (absenteeism), Impairment at Work (presenteeism), Overall Work Productivity Loss (absenteeism+presenteeism), and activity impairment (percentage of daily activity impairment outside work).
open_in_new
table_chartTable 1.
Work Productivity Impairment (WPAI) Migraine/Headache scores (%) according to sex and work activity.
Work time missed (absenteeism)
Impairment at work (presenteeism)
Overall work productivity loss (absenteeism+presenteeism)
Activity impairment (outside work)
General
0.4±1.1
54.0±33.2
54.7±33.4
62.2±29.1
Female
0.5±1.3
59.9±32.5
60.3±31.8
68.2±26.5
Male
0.0±0.2
36.3±33.5
36.3±33.5
42.7±29.7
p-value
<0.0001
0.27
0.30
0.22
Employees
0.4±1.2
57.0±32.4
57.1±32.2
63.8±27.8
Self-employed
0.2±0.7
36.0±34.4
36.0±34.1
48.6±36.4
p-value
0.15
0.59
0.59
0.06
Como citar
DOMINGUES, Renan Barros et al. Avaliação do questionário|Work Productivity and Activity Impairment(WPAI) para enxaqueca com o auxílio de um aplicativo para|smartphone. Arquivos de Neuro-Psiquiatria [online]. 2020, v. 78, n. 08 [Acessado 3 Abril 2025], pp. 468-472. Disponível em: <https://doi.org/10.1590/0004-282X20200004>. Epub 08 Jun 2020. ISSN 1678-4227. https://doi.org/10.1590/0004-282X20200004.
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