Gastrointestinal (GI) disorders, particularly when chronic, negatively impact the physical, psychological and social well-being as well as the quality of life (QoL) of an individual. Objective assessments are invaluable, but often fail to capture the patient’s subjective distress, as the severity of a given GI symptom or disease and its impact on QoL can vary greatly among individuals, even when objective findings are similar. This variability in symptom or disease perception arises from differences in individual symptom sensitivity thresholds, psychological factors, cultural background, coping mechanisms and individual expectations. In this context, patient-reported outcomes (PROs) are essential tools to integrate the patient’s perspective into clinical decision-making. PROs encompass disease symptoms, treatment side effects, functional outcomes or multidimensional measures such as health-related quality of life (HRQOL) [1].

PROs are assessed using validated questionnaires to ensure standardization. A questionnaire is a systematically developed set of items designed to measure specific domains of health, symptoms or QoL as perceived by the patient [2]. Questionnaire development involves defining objectives and the target population, conducting literature reviews and/or interviews to identify key themes and creating a conceptual framework outlining the domains and sub-domains to be measured. Items (questions) are then generated, refined further through pre-testing and evaluated for psychometric properties such as validity and reliability [2, 3]. Based on the findings, the questionnaire is revised as necessary before being finalized for use.

Psychometric evaluation of a questionnaire ensures reliability (consistent results over time) and validity (the degree to which it accurately measures the intended construct). Reliability is assessed using internal consistency (e.g. using Cronbach’s alpha), test-retest reliability (e.g. using intra-class correlation coefficient [ICC]) and inter-observer or intra-observer reliability [4]. Internal consistency measures how well items in a questionnaire correlate and measure the same construct. Test-retest reliability indicates the consistency of results when repeated after an appropriate interval in the absence of any change in the disease status or treatment intervention [4]. Validity includes several types such as content validity (ensures item relevance, assessed through expert review and the Content Validity Index [CVI]), face validity (surface appropriateness), construct validity (e.g. using exploratory factor analysis [EFA] or confirmatory factor analysis [CFA] and criterion validity [compares with external standards]) (Fig. 1) [3,4,5]. Multiple forms of validity are often assessed to ensure a robust and accurate measurement tool [3,4,5].

Different types of validity

Psychometric testing is generally conducted using data collected from a pilot study or validation sample. Based on the analysis, the questionnaire may be refined to enhance its precision and relevance, ensuring it is appropriate for the target population and its intended use.

Each culture is unique due to its own distinct characteristics such as economic conditions, population dynamics, political systems, geographic location and social structures. While several questionnaires exist in English and other widely spoken languages, their utility in multi-lingual nations like India is limited unless they are culturally adapted. The cultural adaptation of a QoL questionnaire involves two essential steps: (1) linguistic translation to maintain language accuracy and (2) psychometric evaluation to ensure measurement validity and reliability [6]. Both components are crucial and interdependent to establish the questionnaire’s functional equivalence across different cultural contexts. Ensuring both semantic and content equivalence is essential when translating a questionnaire into a regional language. Semantic equivalence means that the translated items carry the same meaning as the original, while content equivalence ensures that the questions remain culturally relevant and appropriate for the target population. Forward and back translation, expert review and pilot testing ensure both [6].

In this editorial, we comment on two different studies recently published in the Indian Journal of Gastroenterology that focus on the translation and validation of clinical questionnaires into regional Indian languages.

The first study by Unnisa et al. [7] explores the adaptation of Comprehensive Pain Assessment Tool Short Form (COMPAT-SF) questionnaire for patients with chronic pancreatitis (CP) into multiple regional languages (Telugu, Bengali and Hindi). CP is a fibro-inflammatory disease of the pancreas which manifests as debilitating abdominal pain, occurring in ~ 90% patients [8], significantly impairing QoL. It is the chronic, persistent pain (type-B pain) rather than episodic pain that drives poor QoL [8]. It leads to emotional disturbances, which manifest as anxiety or depression. Moreover, presence of malnutrition, exocrine and endocrine insufficiency and frequent hospitalizations compound the suffering. Pain is a complex and subjective experience that necessitates a multidimensional approach to assessment, rather than relying solely on traditional unidimensional severity scales [5]. Pain assessment tools for CP include the Izbicki pain scale [9], Brief Pain Inventory (BPI) [10] and COMPAT [11, 12]. COMPAT-SF, the short version, is the first validated and clinically practical questionnaire specifically designed for pain assessment in CP [13]. It evaluates five dimensions of pain (pain severity, pain fluctuation, pain provocation, spreading pain and qualitative pain descriptors), but notably omits psychological, emotional and social factors; components that are essential to understanding the full burden of chronic pain. Moreover, most current pain assessment instruments for CP rely predominantly on self-reported outcomes and fail to incorporate objective assessments such as quantitative sensory testing (QST), limiting their ability to capture the neurophysiological underpinnings of pain [5]. Current tools often lack linguistic and cultural validation. Many QoL instruments, such as the pancreatic quality of life instrument (PANQOLI) [14] and pain assessment tools such as the Izbicki pain scale [9] and BPI [10] have not been adapted or validated for Indian languages, ignoring region-specific influences such as diet, family dynamics and healthcare accessibility, that significantly influence QoL and symptom burden in these populations. Unnisa et al.’s study [7] addressed this critical gap by offering validated tools in three widely spoken Indian languages, relevant to a high-prevalence population of chronic pancreatitis in India. The study followed rigorous cross-cultural adaptation protocols, including forward and backward translation. Validation was conducted through convergent, construct and concurrent validity assessments, with bilingual CP patients completing both Hindi and English versions at a three-week interval. The use of structural equation modeling and confirmatory factor analysis further enhanced the psychometric rigor. The study’s limitations include the relatively small sample size in each language group which may have limited the statistical power and increased the risk of Type-II (false negative) error and lack of concurrent validity testing in Telugu and Bengali.

The second study by Sherly and Divya [15] focuses on the development, translation and validation of a Symptom Specific Dysphagia Quality of Life Questionnaire (SSDQOL) in Tamil. Dysphagia, expressed in numerous neurological, mechanical/structural (motility disorders or obstruction) and degenerative disorders, is a distressing symptom causing poor QoL. Malnutrition, fear of choking, social isolation, aspiration pneumonia or airway compromise further compounds the suffering. Assessing QoL outcomes in dysphagia provides an opportunity to individualize treatment plans and rehabilitation objectives. These assessments can be repeated at regular intervals to track progress and detect both improvements and deterioration in the patient's subjective experience [16]. A multitude of dysphagia questionnaires exist, such as Sydney Swallow Questionnaire (SSQ) [17], MD Anderson Dysphagia Inventory (MDADI) [18] and symptom-specific questionnaires like the Eating Assessment Tool (EAT-10) [19]. While instruments like MDADI [18] and Swallowing Quality of Life questionnaire (SWAL-QOL) [20] provide valuable insights into emotional, functional and physical impacts, they often fail to thoroughly measure the pain, discomfort and social isolation associated with a chronic condition like dysphagia. Also, these tools, due to lack of validation in regional languages, do not fully address the cultural nuances and healthcare practices in India, leading to potential inaccuracies in assessing the true burden of the disease on patients in our country. Another significant limitation is the incomplete symptom-specific assessment in many of the existing QoL tools. The aforementioned study by Sherly and Divya marks a crucial step in filling this gap. It followed rigorous methodological steps (translation, back translation, pilot testing and psychometric validation) ensuring that the tool is both linguistically accurate and clinically meaningful. The questionnaire, comprising 25 items across 12 domains, demonstrated good internal consistency (Cronbach’s α = 0.78) and strong construct validity via correlation with the established Dysphagia Handicap Index in Tamil (r = 0.89), underlining the tool’s credibility in measuring QoL in dysphagia patients. The availability of a validated Tamil-language SSDQOL enables healthcare providers in Tamil-speaking regions to more effectively assess disease severity and treatment response, ultimately improving patient-cantered care. While the SSDQOL-T is a valuable contribution, the study’s limitations warrant acknowledgment. The relatively small patient sample (n = 32) and lack of objective assessments (videofluoroscopic swallowing study [VFS] or fiberoptic endoscopic evaluation of swallowing [FEES]) limit the instrument’s generalizability and concurrent validation. Additionally, the tool’s responsiveness to treatment interventions has not yet been assessed.

Both these studies are commendable for their methodological rigor, clinical relevance and much-needed focus on linguistic and cultural adaptation. These contributions are not merely academic exercises; they represent an important stride towards making healthcare tools more accessible and culturally relevant for diverse populations. India’s linguistic diversity is a barrier to the universal applicability of many standardized tools developed in western settings. By adapting and validating these tools for regional use, these studies ensure that patient care is not compromised by language [21]. Nonetheless, limitations such as sample sizes and limited geographical representation must be addressed. Broader validation across multiple centres and dialects will enhance generalizability.

In conclusion, there is a pressing need for culturally adapted, symptom-specific and validated tools for QoL assessment. The regional adaptation and validation efforts showcased in these studies are commendable efforts that set a precedent for similar initiatives across India. Continued efforts are needed to expand validation across more regional languages and patient groups, ensuring that linguistic diversity does not remain a barrier to high-quality healthcare and evidence-based practice.