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Exploring the delivery of empathic care in task-shared settings: A psychometric study in rural Pakistan

Published online by Cambridge University Press:  13 January 2025

Rakhshanda Liaquat
Affiliation:
Human Development Research Foundation, Rawalpindi, Pakistan
Ahmed Waqas*
Affiliation:
Institute of Population Health, University of Liverpool, Liverpool, UK Mersey Care NHS Foundation Trust, Liverpool, UK Greater Manchester Mental Health NHS Foundation Trust, Salford, UK
Tayyaba Qadeer
Affiliation:
Human Development Research Foundation, Rawalpindi, Pakistan
Abid Malik
Affiliation:
Health Services Academy, Islamabad, Pakistan
Najia Atif
Affiliation:
Human Development Research Foundation, Rawalpindi, Pakistan
Siham Sikander
Affiliation:
Institute of Population Health, University of Liverpool, Liverpool, UK Mersey Care NHS Foundation Trust, Liverpool, UK
Duolao Wang
Affiliation:
Liverpool School of Tropical Medicine, Liverpool, UK
Atif Rahman
Affiliation:
Institute of Population Health, University of Liverpool, Liverpool, UK
*
Corresponding author: Ahmed Waqas; Email: ahmed.waqas@liverpool.ac.uk
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Abstract

Empathy plays a crucial role in psychosocial and psychological interventions, greatly impacting rapport building, patient adherence, and satisfaction with treatment. Empathetic interactions enhance patient’s self-reflection and the delivery of more personalized therapeutic interventions tailored to the unique needs of each patient, thereby improving the overall quality of care. Despite empathy being central to psychosocial interventions, there are currently no valid and reliable patient-centered tools that assess the lay-therapist empathy that they show and/or exhibit toward their patients.

In this study, the patient-rated Empathy Scale for Lay Therapists was developed to assess empathy in community health workers delivering psychosocial interventions. Psychometric validation was based on a cross-sectional study embedded in a non-inferiority cluster randomized trial of the Thinking Healthy Programme for perinatal depression in Pakistan.

Community testing with perinatal women confirmed the scale’s understandability and logical structure, highlighting its face validity. Among the 980 trial participants, a high level of agreement with the Empathy Scale for Lay Therapists (mean score 2.616) was observed, indicating effective communication and empathy from health workers. The scale demonstrated excellent internal consistency (Cronbach’s alpha 0.96). Exploratory Factor Analysis revealed a unidimensional structure, capturing 87.81% of the total variance, with strong factor loadings.

Type
Research Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press

Impact Statement

The delivery of empathic care is fundamental to effective psychosocial interventions, enhancing therapeutic rapport, patient satisfaction, and adherence to treatment. This study introduces the Empathy Scale for Lay Therapists (ESLT), a novel, patient-rated tool specifically designed to measure empathy in task-shared settings, where non-specialists deliver care. Developed and psychometrically validated within the context of a large-scale trial in rural Pakistan, the ESLT represents a significant advancement in the evaluation of empathic care in low-resource settings. Its unidimensional structure, high internal consistency, and robust psychometric properties provide a reliable framework for assessing empathy in community health workers.

The ESLT’s broader impact lies in its potential to improve the quality of task-shared mental health interventions globally. It provides an evidence-based method for evaluating and enhancing empathic communication, a key determinant of treatment outcomes. In practice, the ESLT can be integrated into training programs for lay therapists, offering actionable feedback to strengthen empathic skills and improve patient-centered care. It also serves as a monitoring tool, ensuring that empathy remains a cornerstone of care delivery in peer-support and community health programs.

By facilitating research on empathy’s role in improving patient outcomes, the ESLT paves the way for innovations in training, supervision, and program design. Cross-cultural validation studies will further expand its applicability, while its integration into routine performance assessments will promote sustainable improvements in care quality. The ESLT aims to empower healthcare systems, particularly in low-resource settings, to foster empathic interactions that resonate with patients’ needs, enhancing the impact of task-shared interventions on mental health and well-being.

Introduction

Task sharing has been increasingly recognized as an innovative solution to address the pervasive treatment gaps in mental health care, particularly in regions with limited resources. The concept (Rahman et al., Reference Rahman, Surkan, Cayetano, Rwagatare and Dickson2013) proposes the delegation of specific therapeutic tasks to trained non-specialist health workers, under the supervision and guidance of mental health specialists. This approach not only optimizes the available workforce but also ensures the provision of mental health services that are both accessible and culturally congruent with the local population’s needs. The task-sharing model is predicated on the effective distribution of care responsibilities, thereby alleviating the burden on specialized mental health professionals and facilitating a wider reach of mental health services. Recent literature has (Kakuma et al., Reference Kakuma, Minas, van Ginneken, Dal Poz, Desiraju, Morris, Saxena and Scheffler2011) highlighted how this model not only increases the efficiency of mental health service delivery but also enhances its relevance by incorporating interventions that are aligned with the cultural and linguistic context of the community served.

A pivotal aspect of the task-sharing model is the reliance on lay health workers, whose personal attributes significantly influence the efficacy and acceptability of the delivered psychological interventions for common mental disorders (CMDs). Our previous research (Atif et al., Reference Atif, Bibi, Nisar, Zulfiqar, Ahmed, LeMasters, Hagaman, Sikander, Maselko and Rahman2019) underscores the importance of characteristics such as empathy, trustworthiness, and shared linguistic and cultural backgrounds, which enhance the therapeutic relationship and facilitate a deeper understanding and connection between the health worker and the patient. Effective communication skills are deemed indispensable in the context of task sharing, serving as the foundation for successful patient interactions and interventions. Hemmerdinger et al. (Reference Hemmerdinger, Stoddart and Lilford2007) assert the critical nature of these skills in healthcare, emphasizing their role in accurately identifying and addressing patient needs. Central to effective communication is the concept of empathy, which involves a deep understanding of the patient’s perspective, experiences, and emotions (Refaat Ahmed and Shalaby, Reference Refaat Ahmed and Shalaby2022). Empathy is described as “putting oneself in the patient’s shoes,” highlighting its significance in building a genuine rapport between healthcare providers and patients, thereby augmenting the impact of task-shared interventions.

Empathy is a pivotal component within psychosocial and psychological interventions, significantly influencing patient motivation, adherence to, and contentment with prescribed treatment regimens (Williams et al., Reference Williams, Brown, McKenna, Boyle, Palermo, Nestel, Brightwell, McCall and Russo2014). Such empathetic engagement not only heightens patient satisfaction, as noted by Berhan and Berhan (Reference Berhan and Berhan2014) but also elevates the caliber of care, fosters a deep provider-recipient connection which diminishes the likelihood of errors, and ensures the provision of therapies that are optimally tailored to individual patient needs (de Andrade Alvarenga et al., Reference de Andrade Alvarenga, deMontigny, Zeghiche, Verdon and Castanheira Nascimento2021). Furthermore, the presence of empathy fosters a nurturing environment, imbuing patients with feelings of security, encouragement, and confidence, thereby nurturing a foundation of trust between lay health workers and their patients. Beyond its direct benefits, empathy-driven communication catalyzes patient involvement and promotes informed decision-making, ultimately enhancing health outcomes, particularly notable in maternal health contexts (Moloney and Gair, Reference Moloney and Gair2015).

The evaluation of empathy within therapeutic settings is paramount for determining the quality of interactions between patients and healthcare providers, highlighting its crucial function in the therapeutic journey. Given its importance, various instruments have been devised to quantify empathy in healthcare environments. Among these, the Jefferson Scale of Physician Empathy stands out, featuring dimensions such as perspective-taking, compassionate care, and standing in the patient’s shoes, and is frequently applied in medical education research (Hojat et al., Reference Hojat, Gonnella, Mangione, Nasca, Veloski, Erdmann, Callahan and Magee2002). Similarly, the Empathy Quotient, utilized to gauge empathy among medical students, assesses cognitive empathy, emotional responsiveness, and social skills (Lawrence et al., Reference Lawrence, Shaw, Baker, Baron-Cohen and David2004). Additionally, the Schwartz Center Compassionate Scale is employed to appraise the extent of compassionate care delivered by physicians and other healthcare providers (Lown et al., Reference Lown, Muncer and Chadwick2015).

Despite these advancements, a notable research gap persists in the absence of a specialized scale for measuring empathy among allied health personnel or community health workers, particularly in low- and middle-income countries. While current practices in assessing competency among such workers, especially those involved in task-shared psychological interventions, include supervision and competency exercises through role-playing, these measures do not adequately capture empathic care from the patient’s perspective. For instance, the ENACT rating scale (Kohrt et al., Reference Kohrt, Jordans, Rai, Shrestha, Luitel, Ramaiya, Singla and Patel2015) includes only items on empathy, rated during supervision sessions. Furthermore, the ENACT tool is primarily supervisor-rated, limiting its ability to fully reflect the patient’s experience of empathy during care. This highlights the need for additional tools that can accurately capture perceived empathy from the patient’s perspective, particularly in culturally diverse and resource-limited settings. Developing such patient-centered empathy measures would be essential for enhancing the quality of care and ensuring that interventions are truly responsive to patient needs.

This research gap underscores the need for a novel assessment tool tailored to community health workers that accurately reflects the compassionate and empathic care they provide, as perceived by the patients themselves. Addressing this gap, our investigation is dedicated to detailing the methodologies employed in the creation of an instrument aimed at evaluating the compassionate and empathic care dispensed by community health workers, thereby contributing significantly to the field by enhancing the understanding and measurement of empathy in diverse healthcare settings.

Methods

The empathy scale for lay therapists

The Empathy Scale for lay therapists (ESLT) was developed to assess compassionate/empathic care delivered by community health workers (Supplementary Table 1). Unlike ENACT, which assesses competency in delivering psychosocial interventions through observed role-plays, the ESLT evaluates the level of empathic care as experienced and perceived by patients. The development process encompassed several phases. In Phase 1, a comprehensive literature review on PubMed (using keywords: empath* OR compassion* AND health-care AND scale*) was conducted to identify existing scales related to compassionate care and empathic traits among healthcare professionals. Based on this review, a committee of three experts specializing in either psychiatry or psychology and perinatal mental health research generated a long list of items aligned with the five fundamental characteristics of compassionate care. These items were translated from English to Urdu, resulting in a pool of 14 items for further review. In Phase 2, an expert panel consisting of in-house perinatal mental health and task-shared intervention experts was arranged to finalize the items through consensus. Phase 3 involved field testing of the measures in a community setting, employing face validity procedures with key informants and focus groups of depressed mothers. Finally, in Phase 4, psychometric validation procedures were applied to a dataset generated from the 3rd-month assessments of mothers in intervention and control groups.

Phase 1: Literature review

In this step, we reviewed previously available scales measuring either the delivery of compassionate care or empathic traits among healthcare professionals. Most notably, we reviewed the scales listed in Table 1.

Table 1. Review of scales used for meaning empathy in health research

A long list of items representing constructs central to empathic and compassionate care (Figure 1) was long-listed by a committee of three experts in depression and questionnaire development. The choice of these items was guided by the five fundamental characteristics of compassionate care (Lown et al., Reference Lown, Muncer and Chadwick2015; La Monica, Reference La Monica1981; Lawrence et al., Reference Lawrence, Shaw, Baker, Baron-Cohen and David2004; Moudatsou et al., Reference Moudatsou, Stavropoulou, Philalithis and Koukouli2020; Rodriguez and Lown, Reference Rodriguez and Lown2019; Kohrt et al., Reference Kohrt, Jordans, Rai, Shrestha, Luitel, Ramaiya, Singla and Patel2015):

  1. i. Interpersonal relationships based on empathy and emotional support

  2. ii. Efforts to understand and relieve patients’ sadness and pain

  3. iii. Effective communication and enabling the patients’ and families’ participation in decisions

  4. iv. Considering patients as persons and respecting them

  5. v. Emphasis on holism rather than reductionism

Figure 1. Five guiding principles for formulating questionnaire items for Empathy Scale for Lay Therapists.

As per Mapi research trust guidelines, these loan items were translated from English to Urdu language, after a two-step process (McKown et al., Reference McKown, Acquadro, Anfray, Arnold, Eremenco, Giroudet, Martin and Weiss2020). In this two-step process, the items were forward and back-translated by the team, to ensure semantic equivalence and cross-cultural face validity. The wording of these items was then adapted for use in task-shifted interventions, delivered either by community health workers or peers. This resulted in a pool of 14 items, for further review and shortlisting.

Phase 2. Expert panel consensus

As the next steps, these 14 items were shared with a team of experts (n = 6) in perinatal mental health and task-shared interventions. At this stage, the number of items was shortlisted, and any changes advised to each of the statements were pre-finalized. The shortlisting process was guided by the criteria outlined in Figure 1, informed by the field and clinical expertise of the experts, ensuring the items reflected cross-cultural concepts of empathic care. The pre-finalized items were then field tested, to request feedback from mothers comparable to our future study sample as well as the assessment team.

Phase 3. Field testing

To ensure face validity, the research team pilot-tested the measures in a community setting with 10 perinatal women. Key informants from the assessment and field teams conducted focus group interviews with depressed mothers, during which the Urdu translation of the ESLT was administered. Feedback was collected to confirm that the terminology used in the scale was easily understandable and culturally appropriate.

Phase 4. Psychometric validation study design

This cross-sectional study was embedded within the stratified cluster randomized controlled trial known as the Enhanced Technology-Assisted version of the Thinking Healthy Programme (THP-TA), with stratification based on the smallest district administrative unit, the Union Council. The study was specifically conducted in the sub-districts of Kallar Syedan, Gujar Khan, and Rawalpindi, representing rural areas within the Rawalpindi district.

Pregnant women aged 18 years and over, in the second to early third trimester of pregnancy (4–8 months gestation), experiencing a current Major Depressive Episode (MDE) on SCID, and intending to reside in the study area for approximately 1 year, were included. Eligibility was determined by checking the registers of Lady Health Workers (LHWs), government-employed community health workers, responsible for around 250 households each, and maintaining a register of every new pregnancy within their catchment area. Further details of the trial design can be found in the study protocol published elsewhere (Rahman et al., Reference Rahman, Malik, Atif, Nazir, Zaidi, Nisar, Waqas, Sharif, Chen, Wang and Sikander2023). Details on the development procedures of the intervention were published by Atif and colleagues elsewhere (Atif et al., Reference Atif, Bibi, Nisar, Zulfiqar, Ahmed, LeMasters, Hagaman, Sikander, Maselko and Rahman2019).

Interview procedures: The study’s procedures were carried out as per the Declaration of Helsinki 2013 (World Medical Association, Reference Association2013). Ethical approval was obtained from the Institutional Review Board (IRB) of the University of Liverpool and the Ethics Committee at the Human Development Research Foundation, Pakistan. All participants provided informed written consent at the time of recruitment. All participants volunteered for the study and provided written informed consent. They were guaranteed anonymity and confidentiality, with the assurance that only collective findings would be reported.

Thereafter, a comprehensive questionnaire was administered by a team of research assistants. These assistants, supervised by an experienced psychiatrist, were trained in administering psychosocial instruments, obtaining informed consent, and recording participant reactions and responses through structured sessions and interactive workshops. The questionnaires were administered orally, with responses recorded on tablets using the Open Data Kit (ODK), an online data collection kit.

To establish the construct validity of the ESLT, we assessed its convergent validity by examining correlations with established measures of anxiety (GAD-7) and depression (PHQ-9) among intervention recipients. A significant positive correlation between ESLT scores and these measures would indicate that higher therapist empathy aligns with clients’ mental health outcomes, as theoretically expected. In the absence of more closely related constructs, such as prosocial behavior, apathy, or emotional intelligence, this approach serves as a proxy for validating the ESLT. While these alternative constructs might have provided a more direct validation framework, the use of GAD-7 and PHQ-9, with their established psychometric properties, provides meaningful evidence that the ESLT effectively captures a construct closely related to psychological distress, reinforcing its validity as a measure (de Andrade Alvarenga et al., Reference de Andrade Alvarenga, deMontigny, Zeghiche, Verdon and Castanheira Nascimento2021). For concurrent validity, it was hypothesized that ESLT would correlate positively with competency assessments during supervision sessions, using the ENACT tool.

All these measures were used in baseline, 3rd month follow-up, and 6th month follow-up assessments in the trial (Rahman et al., Reference Rahman, Malik, Atif, Nazir, Zaidi, Nisar, Waqas, Sharif, Chen, Wang and Sikander2023).

Patient Health Questionnaire 9-Itmes (PHQ-9): PHQ-9 is the nine-item DSM-IV symptom-based criteria for depression on a four-point Likert scale from not having the symptom at all, to having it nearly every day, over the last 2 weeks. The score for each item is summed to arrive at a total score. This screening tool has been validated and has a high positive predictive value for the diagnosis of depressive disorder and has been used extensively in Pakistan (Sikander et al., Reference Sikander, Ahmad, Atif, Zaidi, Vanobberghen, Weiss, Nisar, Tabana, Ain, Bibi, Bilal, Bibi, Liaqat, Sharif, Zulfiqar, Fuhr, Price, Patel and Rahman2019).

Generalized Anxiety Disorder 7-Items (GAD-7): Based on DSM-IV symptom-based criteria for generalized anxiety disorder on a four-point Likert scale from not having the symptom at all, to having it nearly every day, over the last 2 weeks. The score for each item is summed to arrive at a total score. This tool also has been extensively used in study settings (Sikander et al., Reference Sikander, Ahmad, Atif, Zaidi, Vanobberghen, Weiss, Nisar, Tabana, Ain, Bibi, Bilal, Bibi, Liaqat, Sharif, Zulfiqar, Fuhr, Price, Patel and Rahman2019).

Multidimensional Scale of Perceived Social Support (MSPSS): The MSPSS was used to assess the perceived levels of social support among the participants. There are 12 items and three subscales related to social support from family, friends, and significant others. This scale has been translated and validated for use in this study setting (Sharif et al., Reference Sharif, Zaidi, Waqas, Malik, Hagaman, Maselko, LeMasters, Liaqat, Bilal, Bibi and Ahmad2021).

The Enhancing Assessment of Common Therapeutic Factors (ENACT) Tool: To assess peer competency in implementing the THP-TA intervention, evaluations were conducted at three distinct points: immediately post-training, 6 months after training, and 12 months post-training. These assessments utilized standardized role-play scenarios developed by the World Health Organization’s EQUIP (Ensuring Quality in Psychological Support) platform, designed specifically to enhance training and supervision processes in mental health and psychosocial support services. Trained assessors, proficient in both the TA-THP intervention and the assessment instruments, employed culturally tailored role-play scripts appropriate for the Pakistani context. Each role-play session, lasting approximately 30 min, featured an actor portraying a mother with depression, with assessors who were knowledgeable in TA-THP, observing a peer’s intervention delivery.

The ENACT tool (Kohrt et al., Reference Kohrt, Schafer, Willhoite, Van’t Hof, Pedersen, Watts, Ottman, Carswell and van Ommeren2020) measures 15 core therapeutic domains, including skills in verbal and non-verbal communication, rapport building, empathy, harm assessment, appropriate family engagement, collaborative goal setting, psychoeducation, and eliciting feedback. Competency in each domain on both tools was rated using a four-point Likert scale, with Level 1 indicating the presence of unhelpful behaviors, while Level 4 denoted mastery of essential and advanced therapeutic competencies.

Statistical analysis

All statistical tests were conducted employing the Statistical Package for the Social Sciences (SPSS), version 27. Descriptive statistics were used to examine participant characteristics. Mean scores, standard Deviations, and frequencies for each item of the Empathy Scale for lay therapists were also calculated. Cronbach’s alpha was used to examine if internal reliability was satisfactory for further validation. We used a value of >0.7 as a cutoff for internal reliability (Streiner and Kottner, Reference Streiner and Kottner2014). The Kaiser–Meyer–Olkin (KMO) measure was used to evaluate the adequacy of the sample for factor analysis (Kaiser, Reference Kaiser1974). Based on a minimum desired value of 0.6, we used Bartlett’s test of sphericity (Haitovsky, Reference Haitovsky1969) to examine whether the items had enough in common to justify conducting a factor analysis. We used exploratory factor analysis (EFA) to assess the factor structure of the Empathy Scale for lay therapists. Cattell’s scree plot was used to determine the maximum number of components to retain in the EFA.

After the identification of an appropriate factor structure of the Empathy Scale for lay therapists, Confirmatory factor analysis (CFA) was carried out to verify the factor structure. We calculated the Root Mean Square of Residuals (RMSR), using a cutoff of <0.10 to indicate a good fit (Hu and Bentler, Reference Hu and Bentler1999). For the Comparative Fit Index (CFI) and Tucker–Lewis index (TLI), we used a cut-off of >0.90 (Hooper et al., Reference Hooper, Coughlan and Mullen2008). Finally, we used the Goodness-of-Fit Index (GFI) and the Adjusted Goodness-of-Fit Index (AGFI). The GFI and AGFI range from 0 to 1, and >0.9 indicates an acceptable model fit (Babyak and Green, Reference Babyak and Green2010).

Results

Face validation

The face validation phase encompassed two critical stages: expert panel review and community-based field testing. Feedback from these stages was predominantly constructive. In the expert review phase, the panel proposed three key revisions. The first recommendation was to establish a clear recall period that spanned the entire duration of the intervention sessions. The second was a terminological change, suggesting the replacement of the term “Aitemad” (confidence) with “Aitabaar” (trust) in the third item. Additionally, it was advised to avoid compound concepts, such as combining ‘attention’ and ‘concentration’ in item six, opting instead to solely use “tawajja” (attention). The expert team also recommended using a 4-point Likert scale to assess respondents’ levels of agreement with statements. Participants indicate their responses on a scale ranging from 0 to 3, where 0 represents “Strongly Disagree, 1 represents “Disagree,” 2 represents “Agree,” and 3 represents “Strongly Agree.”

Field testing with perinatal women further affirmed the instrument’s relevance and comprehensibility. Participants uniformly concurred that the scale was logical and easy to understand, thereby underscoring its face validity in the target population.

Characteristics of the study sample

A total of 2,861 women were approached for participation in the study, out of which 99 were excluded due to not meeting level 1 exclusion criteria. Out of the 2,760 remaining who agreed to participate and fulfilled the inclusion and exclusion criteria, they were assessed for depression using the Structured Clinical Interview for DSM-IV. Out of 2,760 participants, 980 (35.51%) fulfilled the diagnostic criteria for depression and were recruited for the study. Participants in both the control and intervention arms received therapy administered by therapists. The therapy was delivered through therapist-led sessions. The mean age of the sample was 29.31 years (Table 2).

Table 2. Demographic characteristics of study participants (n = 980)

Response distribution on individual statements

The mean score for ESLT responses was approximately 2.616 (0.5092), indicating a generally high level of agreement (Supplementary Figure 1). Specifically, when participants were asked if the lay therapist communicated in a manner that was easy to understand, 530 (54.08%) participants strongly agreed with this statement, while only 2 participants strongly disagreed with item 10, whether the lay therapist acknowledged the possibility of experiencing emotions in difficult situations (Table 3, Supplementary Table 2).

Table 3. Total response count for the empathy scale

Reliability

The reliability of the ESLT scale was assessed using Cronbach’s alpha coefficient, a measure of internal consistency reliability. The scale demonstrated high levels of internal consistency, as indicated by a Cronbach’s alpha coefficient of 0.96. The range of Cronbach’s alpha coefficients if items are deleted ranges from 0.962 to 0.966 (Supplementary Tables 3 and 4).

Exploratory factor analysis (EFA)

Principal axis factoring was undertaken to explore latent constructs and to assess the dimensionality of this exploratory factor (Table 4). The KMO measure of sampling adequacy yielded an impressive value of 0.950, indicating that the dataset was highly suitable for factor analysis. Additionally, Bartlett’s test of sphericity returned a statistically significant result (p < 0.05), providing further evidence of the appropriateness of the data for factor analysis. Utilizing the criteria for Eigenvalues >1 and Cattell’s scree plot (Supplementary Figure 2), only one factor was retained. The scree plot and eigenvalues derived from the factor analysis revealed a clear and discernible unidimensional factor structure within the dataset. The factor analysis elucidated a total variance of 87.81% in Empathy scale scores. Importantly, all items demonstrated adequate estimates for commonalities, with values ranging from 0.6 to 0.8. All items yielded strong factor loadings ranging from 0.63 (item 7) to 0.81 (item 11).

Table 4. Exploratory factor analysis for empathy scale for lay therapist communalities and factor loadings of one-factor model

Confirmatory factor analysis

CFA was used to further test the goodness of fit of the unidimensional factor structure for the ESLT (Figure 2). All 12 items yielded strong factor loadings ranging from 0.76 (items 1 and 11) to 0.91 (item 7). However, it yielded poor goodness of fit indices (CFI = 0.86, GFI = 0.71, AGFI = 0.058, RMR = 0.16, RMSEA = 0.19, and CMIN/DF = 29.91). An analysis of modification indices suggested covarying residual errors between items 1 and 2, items 3 and, items 7 and 8, items 9 and 10, and items 11 and 12. These modification indices were done serially. The final unidimensional model yielded acceptable goodness of fit indices (CFI = 0.94, NFI = 0.94, GFI = 0.87, AGFI = 0.80, PCMIN/DF = 14.12, RMSEA 0.13, and RMR = 0.01).

Figure 2. Confirmatory factor analysis for ESLT scale.

Convergent validity

The correlation between the ESLT and PHQ-9 scores was statistically significant but negative (r = −0.369, p < 0.001), indicating that higher levels of empathy, as measured by the ESLT, are associated with lower levels of depression symptoms. Similarly, the correlation between the ESLT and GAD-7 scores was also statistically significant but negative (r = −0.250, p < 0.001), suggesting that higher levels of empathy are associated with lower levels of anxiety symptoms. The correlation between the ESLT and MSSPS scores was found to be statistically significant (r = 0.423, p < 0.001). This positive correlation suggests that higher scores on the ESLT are associated with higher perceived social support, supporting the convergent validity of the ESLT as a measure of empathy.

Concurrent validity

Using ENACT, the initial assessment for competency in the delivery of the THP, took place the day after training concluded, with all peers achieving a minimum of Level 2 across all domains, indicating that none displayed harmful behaviors immediately following training. As the delivery agents accumulated experience, their scores improved. By the 6-month post-training evaluation, most delivery agents had advanced to Level 3, reflecting proficiency in fundamental skills. At the 12-month assessment, the majority had either sustained Level 3 or progressed to Level 4, indicating mastery of advanced skills (Supplementary Figure 3).

The ESLT did not yield statistically significant correlations with total ENACT scores, assessed during supervision sessions at post-intervention (r = −0.14, p = 090) or long-term follow-up (r = −1.70, p = 0.13).

Discussion

The ESLT scale demonstrated robust psychometric properties. The principal axis factoring analysis confirmed a unidimensional factor structure, accounting for 87.81% of the total variance. CFA initially produced suboptimal goodness of fit indices; however, after addressing residual correlations, the revised model showed satisfactory fit statistics. The ESLT emerges as a reliable tool for measuring lay therapists’ empathic abilities.

The ESLT’s effectiveness is further evidenced by its positive association with the MSSPS, suggesting that therapists with higher ESLT scores are perceived by clients as providing greater social support. This correlation aligns with existing literature, such as the work by Agnew-Davies et al. (Reference Agnew-Davies, Stiles, Hardy, Barkham and Shapiro1998), which links empathy in therapeutic contexts to enhanced social support experiences for clients. Importantly, our study, derived from trial data, indicates that clients of therapists with higher perceived empathy levels experience notable improvements in their anxiety and depression symptoms. This outcome resonates with prior research, including studies by Corrigan and Schmidt (Reference Corrigan and Schmidt1983) and La Monica (1981), which connect empathy with positive mental health outcomes. Therefore, the ESLT not only measures a specific dimension of empathy relevant to therapeutic settings but also highlights the crucial role of a therapist’s empathy in ameliorating a client’s mental health issues.

The ESLT is a new tool designed to specifically measure empathy among non-specialist providers, building on the foundation set by earlier research, especially the ENACT scale. The ENACT scale, as studied by Kohrt et al. (Reference Kohrt, Jordans, Rai, Shrestha, Luitel, Ramaiya, Singla and Patel2015), has been proven to be a valid and reliable method for evaluating a range of therapeutic skills across various groups and settings. Our research adds to this knowledge by focusing on how empathy can be measured in lay therapists in Pakistan.

Unlike the ENACT scale, which assesses a broad range of therapeutic competencies during role-play sessions under supervision, the ESLT is dedicated solely to understanding empathy from the perspective of patients. This singular focus allows the ESLT to provide a deeper and more nuanced look at empathetic behaviors that are particularly important for lay therapists. This approach aligns with the modern understanding of empathy as a multifaceted attribute, encompassing not only emotional sharing but also compassionate care, social engagement, cognitive understanding, and the ability to recognize and respond to others’ feelings (Moudatsou et al., Reference Moudatsou, Stavropoulou, Philalithis and Koukouli2020). By adopting this comprehensive perspective, the ESLT offers a more detailed and multidimensional evaluation of empathy, capturing its various aspects beyond mere emotional connection. Thus, by focusing on patient perceptions, the ESLT provides critical insights into the empathetic dynamics that unfold during actual therapy sessions. This highlights the complementary nature of the two tools – ENACT gauges technical competencies, while the ESLT offers a lens into the relational and empathetic elements of care, providing a holistic understanding of therapeutic effectiveness. The language used in ESLT is jargon-free and easily understandable by recipients, even those with low literacy. For example, technical terms like ‘normalization’ are replaced with simpler explanations, such as ‘in difficult situations, such emotions can be experienced’. Furthermore, the ESLT is conducted in real-world settings, where recipients actively participate in sessions and provide feedback on their perceived empathy. In contrast, demonstrating empathy in a role-play setting, as assessed by ENACT, can be challenging due to its inherently artificial and potentially contrived nature, which may compromise the accuracy of the assessment. This distinction between the ESLT and the ENACT was also highlighted in our analyses where the ESLT scores did not yield statistically significant correlations.

In comparison to established empathy scales such as the Jefferson Scale of Empathy (Ward et al., Reference Ward, Schaal, Sullivan, Bowen, Erdmann and Hojat2009), the Empathy Construct Rating Scale (La Monica, Reference La Monica1981), the Schwartz Center Compassionate Care Scale (Rodriguez and Lown, Reference Rodriguez and Lown2019) and the Syrian Empathy Scale (Dashash and Boubou, Reference Dashash and Boubou2021), it’s noteworthy that none of the scales provided are specifically designed to measure empathy skills in lay therapists. While the literature review highlights various empathy scales tailored to specific professions like physicians and counselors, there is a noticeable gap in instruments designed explicitly for allied health workers. The absence of specialized tools for this crucial group underscores the need for further research and instrument development to address the unique empathic challenges faced by allied health professionals. It also demonstrates notable advancements in psychometric properties. The ESLT’s high internal consistency reliability (α = 0.96) surpasses the reliability coefficients reported for many existing scales, indicating its robustness in measuring empathic abilities among lay therapists.

Limitations

The study has three key limitations. First, the correlation between ENACT and ESLT scores may be confounded by factors such as assessment anxiety, which can impact therapists’ performance during competency evaluations. ENACT assessments, conducted in controlled settings, may not fully capture therapists’ real-world competencies or the empathy experienced by intervention recipients during actual therapy sessions. This highlights the importance of directly assessing empathy from the patient’s perspective, as provided by the ESLT. Second, the study lacks broader validity analyses, particularly convergent and divergent validity assessments. While GAD-7 and PHQ-9 were used as proxies for related constructs, the absence of more relevant tools – such as those measuring prosocial behavior, apathy, or emotional intelligence – limited the depth of our validation efforts. Additionally, the lack of divergent validity testing restricts our ability to confirm the ESLT’s specificity in measuring empathy without overlapping with unrelated constructs. Future research should address these gaps to enhance the robustness of the ESLT’s validation. Lastly, quantifying empathy – a highly nuanced construct – based on the perceptions of individuals receiving psychosocial interventions is inherently influenced by their mental health status. As such, these findings should be interpreted with caution.

Recommendations for research, and practice

Recommendations for research

Future research should focus on conducting cross-cultural validation studies of the ESLT to ensure its applicability and reliability across diverse interventions, populations, and settings. Additionally, the scale could be utilized in studies evaluating the effectiveness of empathy training programs for health workers and lay therapists by assessing pre- and post-training empathy levels. Exploring the relationship between high ESLT scores and patient outcomes – such as satisfaction, treatment adherence, and overall well-being – would help establish the scale’s predictive validity. Complementing these assessments with qualitative interviews could provide deeper insights into patient experiences and perspectives on empathy in healthcare interactions, further enriching our understanding of its impact.

Recommendations for practice

The ESLT can be integrated as a feedback tool in empathy training workshops for health workers and lay therapists, enabling them to identify strengths and areas for improvement in their empathic interactions. The ESLT scores could also inform the development of patient-centered care models that prioritize empathic communication and relationship-building. In peer support programs, the ESLT can serve as a monitoring tool to enhance the quality of empathic interactions, ensuring peers are effectively trained in these critical skills. Additionally, incorporating the ESLT into regular performance evaluations for health workers and lay therapists could encourage continuous professional development and a sustained focus on empathic practices.

Conclusion

This study highlights the ESLT as a reliable and valid tool for measuring empathy in lay therapists from the perspective of intervention recipients. Its development addresses a critical gap in the assessment of empathy, offering a patient-centered approach that complements existing competency measures like ENACT. Future research should focus on expanding the ESLT’s validation framework, including convergent and divergent validity assessments with other relevant constructs. By providing a robust measure of empathy, the ESLT holds the potential to improve the quality and effectiveness of community-based psychosocial interventions.

Open peer review

To view the open peer review materials for this article, please visit http://doi.org/10.1017/gmh.2025.4.

Supplementary material

The supplementary material for this article can be found at http://doi.org/10.1017/gmh.2025.4.

Data availability statement

All data are available from the corresponding author upon reasonable request.

Author contribution

A.R., A.W., N.A., and S.S. designed the study. R.L., A.W., and N.A. designed the scale. R.L., T.Q., and A.M. conducted the field operations and collected the data. A.W. analyzed the data and interpreted the results. R.L. and A.W. wrote the initial draft of the manuscript. A.W. revised the manuscript. All authors reviewed the manuscript and provided with critical revisions. All authors approved the final submission.

Financial support

This study was funded by the National Institute for Health and Care Research, United Kingdom (Research and Innovation for Global Health Transformation; Award ID: NIHR200817).

Competing interest

The authors do not have any competing interests to report.

Ethics statement

The study’s procedures were carried out as per the Declaration of Helsinki 2013 (Association, Reference Association2013). Ethical approval was obtained from the Institutional Review Board (IRB) of the University of Liverpool and the Ethics Committee at the Human Development Research Foundation, Pakistan. All participants provided informed written consent at the time of recruitment. All participants volunteered for the study and provided written informed consent. They were guaranteed anonymity and confidentiality, with the assurance that only collective findings would be reported.

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Figure 0

Table 1. Review of scales used for meaning empathy in health research

Figure 1

Figure 1. Five guiding principles for formulating questionnaire items for Empathy Scale for Lay Therapists.

Figure 2

Table 2. Demographic characteristics of study participants (n = 980)

Figure 3

Table 3. Total response count for the empathy scale

Figure 4

Table 4. Exploratory factor analysis for empathy scale for lay therapist communalities and factor loadings of one-factor model

Figure 5

Figure 2. Confirmatory factor analysis for ESLT scale.

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Author comment: Exploring the delivery of empathic care in task-shared settings: A psychometric study in rural Pakistan — R0/PR1

Comments

Dear Prof Chibanda and Dr Bass,

I am pleased to submit our manuscript titled “Exploring the Delivery of Empathic Care in Task-Shared Settings: A Psychometric Study in Rural Pakistan” for consideration for publication in the Global Mental Health Journal. This study addresses a critical gap in the field by developing and validating the Empathy Scale for Lay Therapists (ESLT), a tool designed to measure client-focused perceived capacity for the delivery of empathic care among community health workers in task-shared settings.

Task sharing is an innovative model that enhances mental health service accessibility and cultural alignment in resource-constrained settings by delegating specific therapeutic tasks to trained non-specialists under expert supervision. Despite its significance, there is currently no specialized assessment tool to measure client-focused perceived capacity for the delivery of empathic care among community health workers, which this study aims to address.

Based on our findings, we propose several recommendations for research, practice, and policy. For research, we recommend conducting cross-cultural validation studies of the ESLT to ensure its applicability and reliability across diverse interventions, populations, and settings. Additionally, utilizing the ESLT in studies aimed at evaluating the effectiveness of empathy training programs for health workers and lay therapists, assessing pre- and post-training levels of perceived capacity for empathic care, is crucial. Further research should explore the relationship between high ESLT scores and patient outcomes such as satisfaction, adherence to treatment, and overall well-being to establish the scale’s predictive validity. Complementing ESLT assessments with qualitative interviews can provide deeper insights into patient experiences and perspectives on empathy in healthcare interactions.

For practice, integrating the ESLT as a feedback tool in empathy training workshops for health workers and lay therapists can help identify areas of strength and areas needing improvement. Using ESLT scores to inform the development of patient-centered care models that emphasize empathic communication and relationship-building is another vital application. The ESLT can be applied in peer support programs to monitor and enhance the quality of empathic interactions, ensuring that peers are effectively trained in empathic skills. Including the ESLT in regular performance evaluations of health workers and lay therapists can also encourage continuous professional development in empathic practices.

For policy, we advocate for the inclusion of empathy measurements, such as the ESLT, in healthcare quality standards and accreditation processes to emphasize the importance of empathy in patient care.

We believe that our study makes a significant contribution to the field of global mental health by providing a validated tool to measure client-focused perceived capacity for the delivery of empathic care in task-shared settings, which can ultimately enhance the delivery of mental health care in resource-constrained environments. We appreciate your consideration of our manuscript and look forward to your feedback.

Sincerely,

Dr Ahmed Waqas

Corresponding author

Review: Exploring the delivery of empathic care in task-shared settings: A psychometric study in rural Pakistan — R0/PR2

Conflict of interest statement

Reviewer declares none.

Comments

This study examines the psychometric properties of an empathy scale for lay health workers. This focus is much appreciated as there is a great need to better evaluate the suitability of individual lay health workers for task-shared mental health care as services scale. I have made some suggestions below to further strengthen this paper.

Abstract

- I don’t think it comes across clearly in the abstract why it is important to evaluate empathy (though it does in the introduction). Please try to elaborate on this here. It was also not clear to me until reading the introduction that this is a patient-driven scale so I would emphasize that point, and why it is important to have patient-centered measures in general, further in the abstract too.

Introduction

- The ENACT does include one item on empathy. I would rephrase this on page 4 to make it clearer that what you are saying is that it is not sufficient, rather than that it doesn’t evaluate it.

- I would also include a paragraph on the importance of patient (rather than provider) centered measures in your introduction. This is an important point that comes up in the discussion but I would frame the need for this measure in general around that in the intro too.

Methods

- Please describe the expertise and backgrounds of the three experts in Phase 1.

- Please describe how your comprehensive literature review was conducted.

- I don’t think the ENACT was ever 25 items.

- In the table of the other measures could you please describe briefly the context in which each measure was first developed?

- Please describe how items were shortlisted in Phase 2 - under what criteria did something make the shortlist?

- Can you please describe Phase 3 procedures to establish face validity more thoroughly? How many focus groups were conducted for example? How was face validity established?

- I am unclear on how the MSPSS would be useful for convergent validity as it assesses a different construct than your new measure - overall social support is not the same as empathy from a provider. I would have suggested using an existing measure not meant for LHWs instead. Please clarify. Likewise, I assume you mean PHQ-9 and GAD-7 are measures of divergent validity. But as symptom measures these seem completely different than perceptions of empathy. Please clarify why these are useful measures of divergent validity here.

Results

- I am struck by the fact that so few people reported strongly disagree or disagree across all items. It seems like this makes convergent validity even more important to assess (on one of the other measures you found in the literature or as assessed by someone else). Or alternatively I am wondering if there may have been some kind of response bias. Please comment on the skew here and also how it may have influenced psychometric results.

Discussion

- Is the tool meant to be used by patients in the future? Or by providers? The recommendations for practice are much appreciated but I think that particular piece of who you see using it could be made clearer.

- Please include a paragraph on limitations and then close with a concluding paragraph.

Review: Exploring the delivery of empathic care in task-shared settings: A psychometric study in rural Pakistan — R0/PR3

Conflict of interest statement

Reviewer declares none.

Comments

Thank you for the opportunity to review this manuscript. The authors have developed a novel scale for the measurement of client perspectives of the level of empathic care offered by task-shared mental health providers. The approach to measure development and initial psychometric validity testing was robust, though I have a few moderate/minor concerns outlined below. The paper is well-written and concise, though there are a handful of grammatical issues throughout. I have noted some below. The proposed scale will be a useful complement to ENACT for assessing the competence and quality of care provided by task-shared caregivers.

Moderate concerns:

- Page 9, lines 3-8 – how did you choose these scales for assessment of convergent/divergent validity? These are measuring constructs that are related to the psychological and sociological status of the respondent and are not measures of their perception of the care they receive from their task-shared provider. It seems that it would be necessary to establish divergent (and convergent) validity by comparing the empathy scale scores against other (distinct and similar, respectively) measures of perceived provider care quality. For example, evidence of convergent validity would include strong correlation between this measure and other existing measures of empathic care. Evidence of divergent validity would include weak (approaching 0) correlation between this measure and other existing measures of care competence not related to empathy.

- You mention that the scale was developed in Urdu – is there an English version available? Will you provide a version of the scale as supplemental information with this manuscript, in Urdu and/or English?

- Are there any apparent cut-off scores or other opportunities to categorize scale responses to increase utility?

- You measured reliability using Cronbach’s alpha (internal consistency). In addition, it would be useful to assess reliability in terms of the correlation of client responses across individual providers – that is, do clients of the same provider agree about the level of their empathic care?

Minor concerns:

- Consider including a brief discussion or conclusion section in your abstract.

- Last sentence of second introduction paragraph (page 3, lines 40-43), revise for grammar.

- Authors note that other measures of empathy in other therapeutic settings exist (page 4, lines 10-25), but do not describe the point of measuring empathy beyond understanding the extent of compassionate care. What other uses are there for measuring empathy in clinical care? What do others do with this information?

- Page 4, lines 27-30, revise for grammar

- Page 4, lines 35-37 – again, what exactly would be the point of having patient-level perspective on empathic care? Suggest including here a brief description of what service providers/programs could do with this information (e.g., some of the points you make in the ‘recommendations for practice’ section).

- Page 5, line 5, how many items were in the expert-generated list? Also clarify on page 6, line 11.

- Page 7, line 41, spell out the MAPI acronym and include citation and description.

- Page 10, line 50, clarify that 2760 were positive for depression, and 980 (35%) were recruited into the study. Or were only 35% of the 2760 positive for depression?

- Table 2 – I’m not convinced we need this level of detail, e.g., individual rows for the number of children and for each individual occupation. I suggest simplifying and collapsing rows where you can.

Recommendation: Exploring the delivery of empathic care in task-shared settings: A psychometric study in rural Pakistan — R0/PR4

Comments

No accompanying comment.

Decision: Exploring the delivery of empathic care in task-shared settings: A psychometric study in rural Pakistan — R0/PR5

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Author comment: Exploring the delivery of empathic care in task-shared settings: A psychometric study in rural Pakistan — R1/PR6

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Recommendation: Exploring the delivery of empathic care in task-shared settings: A psychometric study in rural Pakistan — R1/PR7

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Decision: Exploring the delivery of empathic care in task-shared settings: A psychometric study in rural Pakistan — R1/PR8

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