INTRODUCTION
Chikungunya (CHIK) is a painful health condition caused by the Aedes mosquito bite infected with the chikungunya virus (CHIKV)1. After the year 2000, there was a geographical expansion of the CHIKV1-4. The main symptoms are polyarthralgia, high fever in the early days, fatigue, edema, headache, among others5,6. In the acute condition, the population reports difficulties in getting around and performing their activities of daily and working life, adding to the losses in interpersonal relationships7,8. There are reports that the limitations remain in chronic stage9. Due to the painful and disabling symptoms, CHIK has become a major public health problem10.
In the context of a holistic analysis of the person, not having the disease as the main focus, the World Health Organization (WHO) published the International Classification of Functioning, Disability, and Health (ICF)11. This instrument promotes an approach to functioning and disability in the biopsychosocial context12. It proposes a new approach that increases environmental, personal, participation and activity factors in understanding the individual’s situation13.
The ICF has seven domains: health condition, body functions, and structures, activity, participation, environmental and personal factors. There is a dynamic relationship between these domains, presenting itself as a network of correlations11,14. The concept of functioning brought by the WHO is a complex interaction between the health condition and contextual factors through a single and standardized language of health11.
This study aimed to study the instruments used to measure functioning in individuals affected with CHIK and to compare their consistency with the ICF model, seeking to detect whether these instruments are related to ICF, helping to make the most appropriate choice to measure functioning in clinical practice and research. Also, to check if the functioning is being approached according to the model proposed by the ICF.
CONTENTS
A systematic literature review study conducted from May to July 2018. Scielo, Pubmed, Scopus, LILACS, PEDro and Cochrane databases were used in English, Portuguese, and Spanish.
The following descriptors were used: impairment, functional performance, functionality, functional capacity, disability, chikungunya fever, chikungunya virus, in English, Portuguese, and Spanish. The combination was applied as follows: [(“Impairment” OR “Functional Performance” OR “Functionality” OR “Functional Capacity” OR “Disability”)) AND (“Chikungunya Fever” OR “Chikungunya Virus”)].
The inclusion criteria for the selection of articles were publications as of 2001 (year of publication of the ICF), and that assessed the functioning in individuals affected with CHIK. Review articles, theses, and dissertations were excluded.
The search and selection of studies were performed by two researchers independently, with a third researcher for cases of disagreement, which was not necessary. The researchers found 783 and 1579 articles, respectively. They used the same databases and descriptors, but one used the filters at the time of the search, and the other did not, creating the difference found in the number.
First, duplicate studies were excluded. Then, the screening by title and abstract was performed. The articles were read in full, with the selection of the eligible ones. All steps were performed individually. In the end, both found the same articles, five in total. Many studies assessed functional capacity or quality of life and not functioning, as was the expected outcome, so they excluded. Some articles addressed functioning in the microbiological aspects of mosquitoes. Figure 1 describes the selection process.
The selected studies were assessed according to methodological quality using the Grading of Recommendations Assessment, Development and Evaluation (GRADE). A system designed to achieve unification that is sensitive to grading the quality of evidence15,16. Publications can be graded into four levels of scientific evidence: high, moderate, low, very low. Among the articles found, four had low evidence and one moderate (Table 1).
Table 1 General distribution of articles according to the number of participants, objectives, measurement instrument used and methodological quality score
Authors | No. of participants | Objectives | Functioning instruments | Quality scores |
---|---|---|---|---|
Sepúlveda-Delgado et al.17 | 10 | Assess the association between joint involvement, self-reported disability, and inflammatory biomarkers. | WHO Disability Assessment Schedule 2.0 | Low |
Rahim et al.18 | 3869 | Investigate the effects of chronic rheumatic and musculoskeletal symptoms on the functional status of people affected by the chikungunya epidemic in Calicut district, Kerala, southern India, in 2009. | Health Assessment Questionnaire (Modified - CRD pune version). | Low |
Moro et al.3 | 250 | Describe the clinical course and outcome of long-term chikungunya infection. | Recent-Onset Arthritis Disability (ROAD) | Moderate |
Bouquillard et al.19 | 307 | Analyze the characteristics and progression of rheumatic manifestations in patients with post-chikungunya joint pain. | Health Assessment Questionnaire | Low |
Heath et al.20 | 240 | Investigate epidemiological, demographic, physical, and behavioral risks. Factors associated with the development of chikungunya virus-related chronic arthralgia in Granada | Arthritis Impact Measurement Scale | Low |
The selected articles assessed the functioning through questionnaires, with no repetition of instruments. The second stage of the research consisted of coding these instruments by the ICF domains. This process consisted of the extraction of significant concepts considering the outcomes of the articles. The coding according to the ICF domains was performed by two independent coders taking into account the established and published rules21. The process findings were compared, and discrepancies resolved with the supervision of the third researcher. The coding data are described in table 2 and figure 2.

Figure 2 Domains of the International Classification of Functioning and Health that encodes the total frequency in the included instruments
Table 2 Frequency distribution of the domains of the International Classification of Functioning and Health contained in each instrument
Article | Instruments | ICF domains n (%) |
---|---|---|
Sepúlveda-Delgado et al.17 | WHO Disability Assessment Schedule 2.0 | Health condition n:9 (11.54%) Function n:6 (7.7%) Body structure n:1 (1.28%) Activity n:39 (50%) Participation n:10 (12.88%) Personal factors n:8 (10.25%) Environmental factors n:5 (6.41%) |
Rahim et al.18 | Health Assessment Questionnaire (Modified - CRD pune version). | Activity n:46 (86.80%) Environmental factors n:7 (13.20%) |
Moro et al.3 | Recent-Onset Arthritis Disability (ROAD) | Function n:3 (13.04%) Body structure n:1 (4.35%) Activity n:18 (78.26%) Participation n:1 (4.35%) |
Bouquillard et al.19 | Health Assessment Questionnaire | Activity n:31 (100%) |
Heath et al.20 | Arthritis Impact Measurement Scale | Function n:2 (4%) Activity n:2 (48%) Participation n:8 (16%) Personal factors n:9 (18%) Environmental factors n:7 (14%) |
The frequency in which the domains appear in the collected instruments were: health condition (3.86%), function (3.86%), body structure (0.86%), activity (67.82%), participation (8.15%), environmental factors (7.3%) and personal factors (8.15%). All domains were covered by at least one instrument, and only 1 covered all domains.
DISCUSSION
There was a range of articles that aimed to assess the functioning of people with CHIK. However, when analyzing the studies, the final sample consisted of five studies. This small number is due to the fact that most had the quality of life and/or functional capacity as their outcome, not functioning.
When analyzing the years of publication, there was an increase from 2016 to 2018, a fact that may be correlated with the increased geographic distribution of the virus1. The objective of the selected publications is directly related to the confirmation of the profile of the population affected with CHIK, having functioning as an outcome, which is with the purpose of this review.
Regarding the methodological assessment of the studies, most publications are of low quality, showing that the methodological elaboration needs to be more rigorous in execution, according to the GRADE system guidelines.
Among the selected articles, there was no repetition of instruments for the analysis of functioning, nor a consensus on which tool to use to assess the given outcome. In contrast, Gomes, Buranello and Castro22 found a physical test used in nine studies, by reviewing the instruments that assess functioning in the elderly.
It was observed that the population affected with CHIK has pain and difficulties in moving one or some joints, mainly: ankles, wrists, hands, and knees3,18,19, compromising the functioning of individuals to perform their activities and interpersonal relationships. When analyzing the correlation of the instruments with the ICF, a deficit in the structure domain was noted, where only one presented questions regarding this outcome, present in one question.
The WHODAS 2.0 was one of the questionnaires chosen to perform functioning analysis in individuals with CHIK17. When analyzing the correlation with the ICF, it was noticed that it addressed all domains, being the only one to present this characteristic, but 50% of its questions were activity-oriented, not homogeneous among the domains. WHO created it intending to analyze health and disability levels based on ICF23,24. Although not a validated instrument for CHIK, it is generic and cross-cultural, providing a standard measurement of functioning for any health condition24.
Rahim et al.18 used the Health Assessment Questionnaire (Modified - CRD Pune version), a version of the Stanford Health Assessment Questionnaire validated and modified for the Indian population25. This tool is widely used to assess rheumatic patients. The questionnaire focuses on the assessment of physical function and quality of life25, addressing only one aspect related to functioning. The relationship with the ICF reveals questions related to activities and environmental factors, showing a disagreement between what the instrument proposes to assess and what is really being considered in its structure, treating functioning in a limited way.
Another instrument used is the Recent-Onset Arthritis Disability in the validated version adapted for Italian patients with rheumatoid arthritis26. When checking the correspondence with the ICF, it was noticed that the instrument addresses four domains. In addition, 78.26% of the questionnaire refers to the activity, such as WHODAS 2.0, placing the other domains in a lower position and approaching the outcome narrowly. The same was found in the Arthritis Impact Measurement Scale (AIMS), when related to the ICF, its approach is mainly in the activity domain.
The study by Bouquillard et al.19 used the Health Assessment Questionnaire that assessed functional status through 20 questions27. By correlating with the domains of the ICF, the tool addressed only the activity item, revealing the present biomedical perspective, not addressing important aspects of the ICF.
Only WHODAS 2.0 respects and addresses all the theoretical concepts presented by the ICF. It was produced by WHO for this purpose, as ICF does not assess but classifies it. The WHO recommends the use of this instrument to measure functioning24. AIMS was the second tool that most covered the domains, excluding Health Structure and Condition.
There was disagreement among the instruments when addressing functioning with the predominance of activity. Thus, it seems that functioning is still understood in a reductionist and simplified way, placing activity in a higher importance perspective. However, the ICF seeks to treat its domains equally28.
Through the analysis of the research, some relevant data were found: lack of validation of the instruments for people with CHIKV (used for the general population or rheumatic conditions), and one of the studies had a very small sample. Also, almost all articles had low methodological quality, according to GRADE.
As a limitation of this study, there were a small number of articles that assessed the outcome in CHIK. It is attributed to the recent geographical expansion of the virus, resulting in a limited number of studies that seek to determine the consequences of this health condition. However, functioning is an indicator that has been gaining proportion in recent years, both in the field of science and health. Another limitation is regarding the languages of the publications since the search took place in only three languages.
The study has a prominent character since functioning is being seen as one important indicator to assess the population’s health29, and it is necessary to have an instrument that can address this outcome entirely. CHIK has become a major public health problem and data from this population need to be obtained for better clinical management.
CONCLUSION
The instruments used to measure functioning have shown to be related to the conceptual framework of the ICF, but most did not contemplate the structure in its entirety. WHODAS 2.0 stands out as the most reliable option for the assessment of this outcome, as it can cover all the concepts proposed by the classification, but it has limitations, lacking validated tools that show a complete approach to functioning and validated for the CHIK population. In addition, it is clear that the choice of instruments to measure functioning is not being made considering the relationship with the ICF.