The unprecedented impact of the COVID-19 pandemic has called for measures to address the global crisis, which is of utmost importance to psychiatry. As mental health professionals we are part of the frontline health team to provide psychological aid to those affected during this pandemic (Joseph et al., 2020a; Tandon, 2020). Empirical tools such as validated scales and questionnaires are essential for management of mental health issues, and, such tools would aid mental health professionals to deal with psychological impact of the current pandemic and also during the post-pandemic era. Here the authors have attempted to present a brief review on the importance and advantages of using empirically valid tools to address mental health issues related to COVID-19, and also, have presented a variety of such tools in in Table 1 .
Table 1.
Assessment Focus | Scale Name | Factors | Authors | Language Available | Psychometric Properties tested empirically |
---|---|---|---|---|---|
Stress | COVID-19 Stress Scale (CSS) | Danger | Taylor et al., 2020 | English | Internal structure |
Socio-economic consequences | Internal consistency | ||||
Xenophobia | Convergent validity | ||||
Contamination | Discriminant validity | ||||
Traumatic stress | |||||
Compulsive checking | |||||
Perceived Stress Scale modified for COVID-19 (PSS-10-C) | Stress (unifactorial) | Pedrozo-Pupo et al., 2020 | Spanish | Internal consistency | |
English | Criteria validity | ||||
Distress | COVID-19 Peritraumatic Distress Index (CPDI) | Peritraumatic Distress (unidimensional) | Costantini and Mazzotti, 2020a | Italiana | Internal consistency |
Qiu et al., 2020b | Chineseb | Convergent validity | |||
Jahanshahi et al., 2020c | Iranianc | Discriminant validity | |||
Petrozzi et al., 2020d | Spanishd | Criteria validity | |||
Englishd | Predictive validity | ||||
COVID-19 related psychological distress in healthy public (CORPD) | Anxiety and fear | Feng et al., 2020 | Chinese | Content validity | |
Suspicion | Semantic validity | ||||
Internal structure | |||||
Internal consistency | |||||
Criteria validity | |||||
Response process validity | |||||
Anxiety | Anxiety of COVID Scale (CAS) | Anxiety (unifactorial) | Lee et al., 2020a | Englisha,b | Content validity |
Lee, Mathis, et al., 2020b | Turkishc | Internal structure | |||
Evren et al., 2020c | Internal consistency | ||||
Convergent validity | |||||
Criteria validity | |||||
Predictive validity | |||||
COVID-19 Anxiety Scale | Fear of social interaction | Chandu et al., 2020 | Hindi | Content validity | |
Illness anxiety | Semantic validity | ||||
Internal structure | |||||
Internal consistency | |||||
Criteria validity | |||||
Predictive validity | |||||
Fear | Fear of COVID-19 Scale (FC-19S) | Fear (unifactorial) | Ahorsu et al., 2020a; Reznik et al., 2020b; Amir et al., 2020c;Pakpour et al., 2020c | Proto-Iraniana | Content validity |
Russianb | Semantic validity | ||||
Hebrewc,d | Response process validity | ||||
Tzur Bitan et al., 2020d | Vietnamesee | Internal structure | |||
Nguyen et al., 2020e | Turkishf,g | Internal consistency | |||
Satici et al., 2020f | Bengalih | Criteria validity | |||
Haktanir et al., 2020g; Sakib et al., 2020h | Arabici | Functional difference validity | |||
Alyami et al., 2020ISoraci et al., 2020j | Italianj | ||||
Obsession | Obsession with COVID-19 Scale (OCS) | Obsession (unifactorial) | Lee et al., 2020a | Englisha | Content validity |
Ashraf et al., 2020b | Urdub | Internal structure | |||
Internal consistency | |||||
Criteria validity | |||||
Convergent validity | |||||
Predictive validity | |||||
Invariance validity | |||||
Attitude | Attitudes Towards the Response to COVID-19 Pandemic | Attitudes towards responses plans | ben Abdelaziz et al., 2020 | Arabic | Content validity |
Attitudes towards activities plans | Semantic validity | ||||
Attitudes towards crisis communication plans | |||||
Phobia | COVID-19 Phobia Scale (C19P-S) | Psychological factors | Arpaci et al., 2020 | Turkish | Content validity |
Psycho-somatic factors | Internal structure | ||||
Economics factors | Internal consistency | ||||
Social factors | Convergent validity | ||||
Discriminant validity | |||||
Criteria validity | |||||
Perception | Perceived vulnerability to COVID-19 | Perceived infectiousness | González-Olmo et al., 2020 | Spanish | Content validity |
Germ aversion | Internal consistency | ||||
Criteria validity | |||||
Brief Illness Perception Questionnaire to COVID-19 | Illness perception (unifactorial) | Pérez-Fuentes et al., 2020 | Spanish | Content validity | |
Internal structure | |||||
Internal consistency | |||||
Invariance validity | |||||
Information | Knowledge About COVID-19 | Knowledge (unifactorial) | Liang et al., 2020 | Chinese | Content validity |
Knowledge, Attitudes and Practices (KAP) towards COVID-19 | Knowledge | Zhong et al., 2020 | Chinese/English | Criteria validity | |
Attitude | Azlan et al., 2020 | Malay | Predictive validity | ||
Practice | Al-Hanawi et al., 2020 | Arabic/English | |||
Maheshwari et al., 2020; Haque et al., 2020 | English | ||||
Function | Post-COVID-19 Functional Status (PCFS) Scale | Functional status (unidimensional) | Klok et al., 2020 | English | Content validity |
1. Relevance of structured scales to measure the psychological impact of the COVID-19 pandemic
With the unfolding of the COVID-19 pandemic, there is a an ascent in psychological issues amongst people globally. People are finding it difficult to cope with the fear of contracting coronavirus, loss of loved ones, economic and occupational burden and other psychosocial issues, an, also are in a state of uncertainty about the future. It is therefore, essential for mental health professionals to correctly measure the burden of psychological and psychosocial problems in the community to provide timely psychological first-aid to those in need (Das et al., 2020). Structured and validated tools will be crucial in this aspect to comprehensively address the following areas:
1.1. Screening
For early detection of psychiatric manifestations and distinguishing normal reactions to stresses from mental disorders. Commonly used and already existing screening scales during COVID-19 are Depression, Anxiety, and Stress Scale (DASS), Patient Health Questionnaire (PHQ), Impact of Event Scale Revised (IES-R), Maslach Burnout Inventory (MBI) etc.
1.2. Diagnosis and severity assessment
For those who are already suffering from pre-existing psychiatric illness or those who have developed diagnosable psychiatric illness during the pandemic, should be assessed using already existing diagnostic and prognostic scales like Hamilton Anxiety Scale (HAMA), Hamilton Depression Scale (HAMD), Addiction Severity Index (ASI) etc.
1.3. Impact of event assessment
Assessment of the impact of the novel coronavirus pandemic would be important to understand the functional outcome in those who may not have developed any psychiatric symptoms but continued to suffer poor quality of life because of the pandemic – such as refugees, migrant workers etc. WHO Quality of Life scale (WHO-QoL), Wellness scales can be useful in such a context.
1.4. Symptoms and outcome monitoring
Those who have developed symptoms or have worsening of pre-existing illness should be monitored longitudinally for assessment of illness course and also to measure the outcome. For example, longitudinal assessment of PTSD symptoms in frontline healthcare workers would be important to understand the effect of psychological trauma in their quality of lives.
1.5. COVID-19 specific scales
With the emergence of increased research work related to the COVID-19 pandemic, several tools have been recently validated and are helpful not only to study the psychological impact of the pandemic but, may also play a role in assessment and management of patients on a normal basis.
Advantages of using structured scales:
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It would help in objective assessment with minimum observer bias and standardized cut-off scores.
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Scores can be compared across various countries (e.g. developed vs developing) and various subgroups of populations (male vs females; frontline healthcare workers vs non-frontline healthcare worker) and help to guide mental health professionals to understand who are at higher risk of psychosocial issues.
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It would definitely help in policy making process in terms of understanding who are at-risk and also, to guide in where the funds be allocated and how rapid mental health related actions should be taken, as the crisis phase evolves over time
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Scales can also help understand the effectiveness of measures/interventions provided in the community in the form of relief (before-after studies).
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The longitudinal outcome can be better assessed if standardized scales are applied over time to better understand the impact of the pandemic.
2. Future directions
Promptness of international medical bodies and global health researchers has led to the rapid growth of evidence-based mental health literature. With new scales rapidly developed and validated in various language, different ethnic groups and various sub-groups of populations has given us better hope to battle against the mental illness pandemic following the COVID-19 outbreak. Further researches are needed with a focus to the various far-reaching aspects of the current pandemic including the development of new scales for example to assess emotional issues in children during school closure (Joseph et al., 2020b); and hence, to generate better and more generalizable evidence for future preparedness. Also, important is development of scales which are culturally and linguistically valid based on the areas where tools are going to be applied.
Funding sources
Nil.
Declaration of Competing Interest
The authors report no declarations of interest.
Acknowledgement
The authors would like to acknowledge all the Frontline Health Care Workers who are fighting the battle against the COVID-19 pandemic.
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