Development, Validation, and Application of Measures Assessing Mental Health and Functional Outcomes

A special issue of Healthcare (ISSN 2227-9032). This special issue belongs to the section "Mental Health and Psychosocial Well-being".

Deadline for manuscript submissions: 30 September 2026 | Viewed by 2350

Editors


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Guest Editor
School of Nursing, The Hong Kong Polytechnic University, Hong Kong, China
Interests: trauma-related conditions; complex PTSD; dissociation; mental health; psychosocial care

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Guest Editor
Department of Psychiatry, The University of Hong Kong, Hong Kong, China
Interests: psychometrics; psychosis; social Isolation; loneliness; paranoia; mental health
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Special Issue Information

Dear Colleagues,

Robust, culturally sensitive, and clinically relevant measurement tools are essential for advancing mental health research, practice, and policy. As functional recovery may occur without full symptomatic recovery in psychiatric populations, accurate assessment of both clinical symptoms (e.g., depression, anxiety, and psychosis) and functional recovery outcomes (e.g., social relationships, occupational capacity, and daily living skills) enables personalized care, evaluates intervention efficacy, and tracks recovery trajectories. Moreover, assessments of mental health symptoms and functioning in the general population are informative to understand subclinical expressions of psychopathology and their impact on normal functioning. This Special Issue calls for innovations in assessment and measurement that bridge psychometric excellence with real-world utility across diverse populations and settings.

We invite original research, systematic reviews, methodological papers, and critical commentaries focused on the development, validation, implementation, and practical application of measures for mental health symptoms and functional recovery. Submissions should be related to assessments and measures of the health-related aspects of mental health (e.g., symptom severity, diagnosis, and functioning). Submissions should emphasize methodological rigor, accessibility, and translational impact.

Topics of interest include the following:

Measurement development and validation:

  • Novel questionnaires and scales assessing mental health symptoms (e.g., transdiagnostic processes and cognitive–emotional functioning) and multidimensional functional outcomes (e.g., health-related quality of life).
  • Cross-cultural adaptation, translation, and validation of existing measures.
  • Integration of lived experience in co-designing patient-centered assessments.

Innovative methodologies and technologies:

  • Digital health tools (e.g., ecological momentary assessment, passive sensing, AI-driven analytics).
  • Multimodal assessment strategies (e.g., combining self-report, behavioral, or biomarker data).
  • Approaches to reduce assessment burden while maximizing reliability (e.g., computerized adaptive testing).

Implementation and clinical utility:

  • Real-world application of measures in clinical, community, or primary care settings.
  • Tools for tracking treatment response, relapse risk, or recovery milestones.
  • Barriers and facilitators to adopting evidence-based assessments in routine practice.
  • Economic evaluations of measurement implementation.

Specialized applications:

  • Tailored tools for specific populations (e.g., children/adolescents, older adults, neurodiverse individuals, and cultural minorities).
  • Measures for understudied conditions (e.g., somatic symptom disorders and treatment-resistant presentations).
  • Tools assessing comorbid physical and mental health outcomes.

Psychometric advancements:

  • Modern validation approaches (e.g., network analysis and item response theory).
  • Re-evaluation of existing measures’ conceptual and structural validity.
  • Strategies to address measurement bias (e.g., across gender, race, or socioeconomic status).

Dr. Hong Wang Fung
Dr. Anson Kai Chun Chau
Guest Editors

Manuscript Submission Information

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Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-anonymized peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Healthcare is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • health assessment
  • psychometric scales
  • measurement-based care
  • psychosocial health
  • mental health
  • psychiatric assessment
  • validation

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Published Papers (2 papers)

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Research

14 pages, 269 KB  
Article
Measurement Invariance and Psychometric Properties of the Self-Concealment Scale in Iran
by Mohammad Niroumand Sarvandani, Xue Luo, Hamid Sharifi, Somayeh Naghavi, Shujuan Chen and Qing-Wei Chen
Healthcare 2026, 14(15), 2262; https://doi.org/10.3390/healthcare14152262 - 24 Jul 2026
Viewed by 283
Abstract
Background/Objectives: Self-concealment is associated with greater psychological distress and decreased help-seeking engagement. This study aimed to evaluate the psychometric properties and sex invariance of the Persian Self-Concealment Scale (SCS) in Iranian adults. Methods: Participants were recruited using convenience sampling and social media advertising, [...] Read more.
Background/Objectives: Self-concealment is associated with greater psychological distress and decreased help-seeking engagement. This study aimed to evaluate the psychometric properties and sex invariance of the Persian Self-Concealment Scale (SCS) in Iranian adults. Methods: Participants were recruited using convenience sampling and social media advertising, targeting adults aged 18 or older who could read and understand Persian. The valid sample comprised 644 adults. Exploratory factor analysis was performed to delineate the underlying structural dimensions, followed by confirmatory factor analysis (CFA). Multi-group CFA was used to evaluate the gender invariance. Results: A one-factor exploratory solution explained 48.83% of the variance, whereas parallel analysis suggested three factors, indicating some residual multidimensionality. The initial one-factor CFA showed poor fit (RMSEA = 0.114, CFI = 0.899, TLI = 0.871). A revised one-factor model that accounted for four localized item-pair residual associations showed improved fit in Sample 2 (RMSEA = 0.062, CFI = 0.974, TLI = 0.962, N = 322) and acceptable fit when applied without further respecification to the non-overlapping Sample 1 (N = 322) internal holdout (RMSEA = 0.078, CFI = 0.960). Internal consistency was high (α = 0.896; ω = 0.897), while correlations with depression, anxiety, and stress ranged from 0.35 to 0.37, providing moderate evidence of convergent validity. Gender invariance was partially supported. Conclusions: The Persian SCS shows promising but qualified psychometric performance for research use, pending independent replication and longitudinal validation. Full article
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11 pages, 632 KB  
Article
Psychometric Evaluation of the 15-Item Five Facet Mindfulness Questionnaire: A Cross-Cultural Comparison Study Among English- and Chinese-Speaking Adult Mental Health Service Users
by Ming Yu Claudia Wong, Guangzhe Frank Yuan, Shan-yan Huang, Amos En Zhe Lian, Görkem Derin, Aslı Dila Akiş, Peejay D. Bengwasan and Hong Wang Fung
Healthcare 2026, 14(3), 307; https://doi.org/10.3390/healthcare14030307 - 26 Jan 2026
Cited by 2 | Viewed by 1524
Abstract
Objectives: Mindfulness has been proposed as an important health outcome and an indicator of mental well-being. This study aimed to evaluate the psychometric properties of the Five Facet Mindfulness Questionnaire (FFMQ-15) in two samples of mental health service users with diverse cultural [...] Read more.
Objectives: Mindfulness has been proposed as an important health outcome and an indicator of mental well-being. This study aimed to evaluate the psychometric properties of the Five Facet Mindfulness Questionnaire (FFMQ-15) in two samples of mental health service users with diverse cultural and linguistic backgrounds (English- and Chinese-speaking). The study addresses the conceptual gap regarding the limited validation of the FFMQ-15 in Chinese-speaking clinical populations and examines the implications of measurement invariance. This study aimed at (1) confirming the reliability and validity of the FFMQ-15 in mental health service users; (2) assessing the validity of the FFMQ-15 in Chinese-speaking populations, where evidence is limited; and (3) examining measurement invariance across English- and Chinese-speaking groups to ensure cross-cultural applicability and comparable score interpretation. Methods: Participants were recruited using snowball sampling and social media advertising, targeting adults aged 18 or older who could read and write English or Chinese and had received mental health services. The English-speaking sample comprised 115 adults, and the Chinese-speaking sample included 118 adults. Exploratory factor analysis was used to identify structural dimensions, while confirmatory factor analysis was conducted for both samples to evaluate the five-factor structure of the FFMQ-15. Results: The EFA showed literature-aligned results supporting the 5-factor structure model, while the CFA model demonstrated acceptable fit: χ2/df = 159.50/80 = 1.99, p < 0.001; CFI = 0.927; TLI = 0.904; RMSEA = 0.065 (90% CI [0.050, 0.080]); SRMR = 0.060, BIC = 10,843.067, meeting established thresholds, and the non-significant measurement variance indicated the measurement model’s consistency among clinical patients and across different cultural contexts. Conclusions: The FFMQ-15 shows strong psychometric properties for measuring mindfulness in English- and Chinese-speaking mental health service users, supporting its value in clinical research and practice. Full article
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