Advances in Clinical and Experimental Medicine

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Advances in Clinical and Experimental Medicine

2025, vol. 34, nr 9, September, p. 1565–1574

doi: 10.17219/acem/209762

Publication type: original article

Language: English

License: Creative Commons Attribution 3.0 Unported (CC BY 3.0)

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Czapla M, Stańczykiewicz B, Kurpas D, et al. Polish validation of the LGBTQ+ Healthcare Experiences Scale (LGBTQ+ HCES). Adv Clin Exp Med. 2025;34(9):1565–1574. doi:10.17219/acem/209762

Polish validation of the LGBTQ+ Healthcare Experiences Scale (LGBTQ+ HCES)

Michał Czapla1,2,A,B,C,D,E,F, Bartłomiej Stańczykiewicz3,C,D,E,F, Donata Kurpas4,B,D,E,F, Izabella Uchmanowicz4,5,B,D,E,F, Bartosz Uchmanowicz4,D,E,F, Raúl Juárez-Vela2,A,B,C,D,E,F, Piotr Karniej6,A,B,C,D,E,F

1 Department of Emergency Medical Service, Faculty of Nursing and Midwifery, Wroclaw Medical University, Poland

2 Group of Research in Care (GRUPAC), Faculty of Health Sciences, University of La Rioja, Logroño, Spain

3 Division of Consultation Psychiatry and Neuroscience, Department of Psychiatry, Wroclaw Medical University, Poland

4 Department of Nursing, Faculty of Nursing and Midwifery, Wroclaw Medical University, Poland

5 Centre for Cardiovascular Health, Edinburgh Napier University, Sighthill Campus, UK

6 WSB MERITO University, Wrocław, Poland

Graphical abstract


Graphical abstracts

Highlights


• LGBTQ+ Healthcare Experiences Scale (LGBTQ+ HCES) validated in Poland, filling a critical gap in assessing LGBTQ+ patient experiences within healthcare.
• Three-factor model established – Respect and Inclusivity, Discrimination and Microaggressions, Trust and Comfort – with excellent fit indices (comparative fit index [CFI] = 0.998, root mean square error of approximation (RMSEA) = 0.041).
• Strong reliability across subscales (Cronbach’s α = 0.745–0.778; McDonald’s ω = 0.92) and no floor/ceiling effects confirm measurement robustness.
• LGBTQ+ HCES provides a reliable tool for research and health system improvement, enabling progress toward inclusive, equitable healthcare delivery in Poland.

Abstract

Background. The Lesbian, Gay, Bisexual, Transgender, and Queer individuals frequently encounter disparities in healthcare access, quality and inclusivity. Despite growing awareness of these challenges, Poland has lacked a psychometrically validated tool to assess the experiences of sexual and gender minorities in clinical settings.

Objectives. This study aimed to develop and validate the LGBTQ+ Healthcare Experiences Scale (LGBTQ+ HCES) tailored to the Polish context.

Materials and methods. A multi-phase cross-sectional study was conducted in 2025. The initial pool of items was developed through a narrative literature review and refined by 4 researchers with clinical and academic experience in LGBTQ+ health. Content validity was assessed using a 2-round Delphi process involving a multidisciplinary panel of experts (n = 12), who rated item clarity and relevance using Aiken’s V. A pilot test with 30 LGBTQ+ participants confirmed comprehension and technical usability. The final 15-item instrument, comprising 3 subscales (Respect and Inclusivity, Discrimination and Microaggressions, Trust and Comfort), was administered to 172 LGBTQ+ individuals recruited via social media. Psychometric evaluation included descriptive analysis, confirmatory factor analysis (CFA) and reliability testing (Cronbach’s α, McDonald’s ω).

Results. Confirmatory factor analysis supported a 3-factor model comprising Respect and Inclusivity, Discrimination and Microaggressions, and Trust and Comfort. Model fit indices met recommended thresholds (root mean square error of approximation = 0.041, standardized root mean square residual = 0.057, comparative fit index = 0.998). All subscales demonstrated acceptable to strong internal consistency (α = 0.745–0.778; ω = 0.92). No significant floor or ceiling effects were found to compromise the scale’s performance. All items showed positive item-total correlations and contributed meaningfully to their respective subscales.

Conclusions. The LGBTQ+ HCES is a valid, reliable and culturally grounded instrument for assessing healthcare experiences among LGBTQ+ populations in Poland. It holds promise for research, public health surveillance and health system quality improvement efforts to promote inclusive and equitable care.

Key words: health equity, LGBTQ+ health, healthcare experiences, inclusivity in healthcare

Background

Sexual and gender minorities (SGM) – including lesbian, gay, bisexual, transgender, queer, and other non-heteronormative identities (LGBTQ+) – face disproportionate barriers to accessing equitable, culturally competent and respectful healthcare globally.1 These disparities are not isolated incidents, but rather the result of entrenched systemic discrimination, institutional neglect and a lack of clinician preparedness to deliver inclusive care.1, 2 Across health systems, LGBTQ+ individuals are more likely to report experiences of microaggressions, heteronormative assumptions, diagnostic overshadowing, and outright mistreatment.3, 4 These interactions contribute to widespread healthcare avoidance, psychological distress, and worse outcomes in both mental and physical health domains.5, 6

In Central and Eastern Europe, and Poland in particular, these disparities are amplified by hostile sociopolitical climates that institutionalize stigma and marginalization.7 International Lesbian, Gay, Bisexual, Trans and Intersex Association (ILGA)-Europe’s 2025 Rainbow Europe Index ranked Poland last among 49 countries regarding LGBTQ+ equality, highlighting a stark regression in legal protection, public policy and social acceptance.8 Over the past decade, Polish authorities have promoted exclusionary rhetoric, established so-called “LGBT-free zones,” and restricted public expressions of LGBTQ+ identity, including pride marches and education campaigns.7, 9 These structural conditions cultivate fear, social invisibility and medical mistrust, particularly in healthcare settings that are often perceived as unsafe or overtly discriminatory.10

Evidence from high-income countries suggests that LGBTQ+ patients often internalize prior negative experiences with clinicians, leading to chronic underutilization of services, delays in diagnosis and a reluctance to disclose identity in clinical contexts.11, 12, 13 In Poland, however, these patterns remain under-researched. Despite increasing international recognition of LGBTQ+ health disparities, few tools exist to systematically assess the lived healthcare experiences of LGBTQ+ individuals in culturally specific, non-English-speaking settings. This gap limits the development of local data-driven interventions and the ability to monitor progress toward equity-based health system reform.

While several instruments assessing healthcare professionals’ competence in working with LGBTQ+ populations have been developed and validated in Poland, there remains a critical gap in tools that capture the patient perspective.14 Specifically, no validated instrument currently exists to assess how LGBTQ+ individuals themselves perceive respect, discrimination and emotional safety during clinical encounters. Internationally, only a few patient-centered instruments have been developed to assess LGBTQ+ individuals’ experiences in healthcare. For example, the Sexual Stigma in Health-Care Services Scale, recently validated in Taiwan, focuses on the experiences of gay and bisexual men.15 However, this tool remains population-specific and does not provide a comprehensive measure of healthcare experiences across the broader LGBTQ+ community. This patient-centered perspective is essential for understanding the full scope of healthcare (in)equity and informing interventions aimed at system-level change in the Polish context.

Objectives

This study aimed to develop and validate the Lesbian, Gay, Bisexual, Transgender, and Queer+ Healthcare Experiences Scale (LGBTQ+ HCES), a self-report instrument designed to assess the quality, inclusivity, and safety of healthcare experiences among LGBTQ+ individuals in Poland.

Materials and methods

Design

This study employed an instrumental design, as described by Montero and León,16 which focuses on developing measurement tools – including item construction and psychometric validation. The research aimed to create and validate a novel self-report instrument to assess the healthcare experiences of LGBTQ+ individuals in Poland.

Item development

The initial development of the LGBTQ+ HCES took place between January and February 2024. A narrative literature review was conducted to identify existing instruments and conceptual frameworks related to LGBTQ+ patient experiences. Although several tools exist to assess healthcare providers’ cultural competence, no validated, patient-centered instruments were available in the Polish context at the time of the study. The preliminary pool of items was generated through collaborative discussions among 4 researchers with expertise in LGBTQ+ health, health psychology and public health. These items were grounded in existing theoretical models, including the minority stress framework, structural stigma theory and prior empirical studies focusing on LGBTQ+ individuals’ interactions with healthcare systems. Each author contributed to conceptualizing the scale domains, item drafting and the review process. A total of 15 items were developed to capture key dimensions such as respect and inclusivity, experiences of discrimination and microaggressions, and emotional safety and trust in clinical encounters. Items were designed to be brief, culturally relevant and linguistically appropriate for Polish-speaking respondents.

Selection of experts

A panel of 12 multidisciplinary experts was recruited to evaluate the content validity of the LGBTQ+ HCES. Experts were defined as professionals with a minimum of 5 years of clinical or academic experience in health-related fields and documented engagement in LGBTQ+ health, human rights or public health practice. The panel included: a psychiatrist, psychologist, family physician, psychotherapist, paramedic, dietitian, nurse, public health specialist, pharmacist, physiotherapist, laboratory diagnostician, and a patient representative from the LGBTQ+ community.

Experts were invited via email, and the invitation included a cover letter outlining the study’s goals, the rationale for developing the scale, the selection criteria for participation, and ethical assurances concerning confidentiality, data protection and voluntary participation. Each expert received an information sheet describing the questionnaire structure and participation instructions.

The expert evaluation process was conducted through an online form hosted on Webankieta.pl, a secure Polish data collection platform. Before beginning their review, all participants provided informed consent electronically, which was in line with national data protection regulations. Participation was anonymous, confidential and voluntary.

Delphi method

A conventional Delphi method was employed to evaluate the content validity of the LGBTQ+ HCES, involving 2 structured rounds of expert consultation.17 This approach, widely used in instrument development, facilitates consensus-building among experts while allowing for iterative refinement of questionnaire items. Following the recommendations of Linstone and Turoff,18 2 rounds were deemed sufficient to ensure informed agreement among participants. The Delphi process was conducted in March 2024, during the 1st month of the study. In Round 1, experts were asked to assess each item for content relevance and linguistic clarity using a 5-point Likert scale (1 = not at all; 5 = completely). Additionally, qualitative feedback was collected through open-ended comment boxes, where panelists could suggest modifying item structure, language or conceptual scope. This feedback was reviewed in detail, and items requiring revision were adjusted accordingly. In Round 2, experts re-evaluated the modified items using the same procedure. This round confirmed whether the revisions enhanced clarity and relevance, and whether consensus had improved. All items in the final version met the predefined inclusion thresholds (Aiken’s V ≥ 0.75), and no further changes were deemed necessary. Initially, invitations were sent to 16 experts, covering all predefined disciplines. Four invitees either did not return the survey or provided incomplete responses, and were therefore excluded from the Delphi process. The final expert panel consisted of 12 members. All 12 completed both Delphi rounds, yielding a 100% response rate in the qualified panel. Communication with the panel was conducted via email, and both Delphi rounds were administered using a secure online survey platform (https://www.webankieta.pl/). No experts were lost between rounds; full participation was retained throughout the process.

Content validity analysis

The content validity of the questionnaire was assessed using Aiken’s V coefficient, a widely used index for evaluating the relevance and clarity of individual items based on expert ratings. Each expert rated every item using a 5-point Likert scale (1 = not at all relevant/clear; 5 = completely relevant/clear). Aiken’s V was calculated for each item using the standard formula:

V = (X − l)/k,

where X is the mean of expert ratings, l is the lowest possible rating (1), and k is the range of the scale (4, for a 1–5 scale). A threshold of Aiken’s V ≥ 0.75 was used to indicate acceptable content validity. Items scoring below this value in the first round were revised before re-evaluation. All calculations were conducted in Microsoft Excel 2013 (Microsoft Corp., Redmond, USA).

Comprehensibility analysis and linguistic validation

In both rounds of expert review, participants were asked to assess the content relevance and the linguistic clarity of each item. Ratings were provided on a 5-point Likert scale (1 = unclear, 5 = completely clear). Items receiving lower clarity scores in the 1st round – particularly those with Aiken’s V < 0.75 – were revised for improved wording. In the 2nd round, experts re-evaluated the revised items.19, 20 This 2-step process allowed for refinement of item phrasing based on expert feedback to ensure that all items were linguistically clear and culturally appropriate for the Polish context. No items required further revision after the 2nd round, as all reached acceptable clarity levels.

Instrument description

The LGBTQ+ HCES is a 15-item self-report questionnaire developed to assess the healthcare experiences of LGBTQ+ individuals within the Polish healthcare system. The tool was designed to evaluate how affirming, respectful and safe these interactions were, particularly in terms of inclusivity, perceived discrimination and emotional comfort when disclosing one’s sexual orientation and/or gender identity.

The items reflect 3 key dimensions: 1) Respect and Inclusivity, which addresses whether patients felt acknowledged and valued regardless of their identity; 2) Discrimination and Microaggressions, which captures instances of subtle or overt exclusion, bias or inappropriate language from healthcare providers; and 3) Trust and Comfort, which assesses the extent to which respondents felt emotionally safe and supported in clinical encounters. Responses are rated on a 7-point Likert scale ranging from 1 (“strongly disagree”) to 7 (“strongly agree”), with 5 negatively worded items reverse-coded to ensure higher scores consistently represent more positive healthcare experiences. Subscale scores are computed by averaging the relevant items, and an overall mean score is derived to reflect general experiences across domains.

The instrument used gender-inclusive and non-binary-affirming language to promote psychological safety and accommodate diverse gender identities. Respondents are invited to reflect on direct and perceived experiences, regardless of whether their LGBTQ+ identity was disclosed to medical personnel.

For transparency, all 15 questionnaire items are shown in their English translation in the Results section. The original Polish version of the LGBTQ+ HCES is provided in the raw data to support further validation and implementation efforts. The finalized version of the LGBTQ+ HCES was pilot-tested among 30 participants using an online survey (https://www.webankieta.pl/). The aim was to evaluate the clarity of item wording and the technical functionality of the questionnaire. No comprehension issues or technical difficulties were reported. The platform’s built-in IP filtering system was used to identify potential duplicate entries; none were detected. To further minimize the risk of duplicate or invalid responses, the platform also applied completeness checks and time monitoring. Additionally, all responses were screened for internal consistency, and no irregular patterns were detected.

Main study design and participants

A cross-sectional study was conducted between April and May 2024 using convenience sampling via social media platforms, including Instagram and a closed Facebook group for the LGBTQ+ community. Participants were eligible if they were aged 18 years or older, self-identified as LGBTQ+ and had accessed healthcare services in Poland within the past 24 months (including primary care, emergency departments, hospitalizations, diagnostic testing, ambulance services, or private healthcare).

All participants provided informed consent before participation. The survey was fully anonymous and voluntary, and participants were informed that they could withdraw anytime without giving a reason.

A total of 172 participants were enrolled. Sample size determination followed recommendations suggesting 5–10 participants per item for psychometric validation. Given the 18-item structure, a minimum of 90–180 respondents was targeted, which aligns with Argimon-Pallàs’s guidelines.21 The study was conducted by the Declaration of Helsinki and approved by the Bioethics Committee of Wroclaw Medical University, Poland (approval No. KB 976/2022). This research is part of the Health Exclusion Research in Europe2 (HERE2) project.

Statistical analyses

Internal consistency of the questionnaire was checked with confirmatory factor analysis (CFA). Standardized root mean square residual (SRMR), root mean square error of approximation (RMSEA), comparative fit index (CFI), and Tucker–Lewis index (TLI) were used within the Hu–Bentler 2-index strategy to assess the goodness of fit of the CFA model (criteria: SRMR < 0.09 plus at least 1 of the following: CFI > 0.96, TLI > 0.96, or RMSEA < 0.06). Cronbach’s α and discriminative power index were internal consistency measures. The following thresholds for internal consistency were used: 0.9 ≤ α – excellent; 0.8 ≤ α < 0.9 – good; 0.7 ≤ α < 0.8 – acceptable; 0.6 ≤ α < 0.7 – questionable; 0.5 ≤ α < 0.6 – poor; and α < 0.5 – unacceptable. R 4.4.1 (R Foundation for Statistical Computing, Vienna, Austria) and RStudio (https://posit.co/products/open-source/rstudio/?sid=1) GUI and psy,22 lavaan,23 psych,24 and diagram packages25 were used.

Results

Sociodemographic characteristics

A total of 172 individuals participated in the study. The mean age was 30.95 years (standard deviation (SD) = 8.69). Nearly half of the sample identified as cisgender men (47.67%) and almost 1/3 as cisgender women (29.65%), with a notable proportion identifying as non-binary (11.63%). The majority reported a homosexual orientation (69.77%). Most participants lived in large urban areas (>500,000 inhabitants) and held at least a secondary education, with over 30% having a master’s degree. Detailed sociodemographic characteristics are presented in Table 1.

Instrument outcomes

Mean scores across the LGBTQ+ HCES and its 3 subscales suggest moderately positive healthcare experiences within the sample, though with considerable variability (Table 2). The highest mean was observed for Respect and Inclusiveness (mean (M) = 25.56, SD = 5.93), while Discrimination and Microaggressions showed the lowest (M = 16.41, SD = 7.24), indicating unequal exposure to negative experiences.

Analysis of the individual questionnaire item

Descriptive item-level analysis revealed high ceiling effects for items 2 and 5, with 57.6% and 50.0% of respondents selecting the maximum response (Table 3). This suggests these items may have limited discriminative capacity in this sample. While this could indicate redundancy, it is also possible that these items tap into universally positive experiences that are crucial to the construct and were designed to function as intentional “anchor” or “booster” items. In contrast, item 15 showed the highest floor effect (31.4%), potentially pointing to problematic or poorly experienced care domains.

Confirmatory factor analysis

The HCES items are measured on an ordinal scale, and the Diagonally Weighted Least Squares (DWLS) estimator was used for CFA. The initial 3-factor model (Model I) showed suboptimal fit indices. Correlations between selected item pairs within the same factor were added to improve model fit based on modification indices. The revised model (Model II) showed improved fit and met recommended thresholds (SRMR < 0.08, RMSEA < 0.06, CFI > 0.95). These adjustments preserved the original factor structure of the HCES. Detailed results are presented in Table 4.

Internal consistency analysis of the LGBTQ+ HCES

All item loadings were statistically significant (p < 0.001), ranging from 0.329 to 0.863, indicating adequate association with their respective subscales. Cronbach’s α coefficients showed acceptable internal consistency across the 3 subscales: Respect and Inclusiveness (α = 0.770), Discrimination and Microaggressions (α = 0.745) and Trust and Comfort (α = 0.778). McDonald’s ω index (ω = 0.92) further confirmed the strong internal consistency of the scale.

Item-level reliability analysis revealed no substantial gains in α values upon removal of any item. Although minor increases were observed for Item 5 and Item 15 within their respective subscales, these changes were insufficient to justify item deletion. All items demonstrated positive item-total correlations, supporting their contribution to internal consistency. Detailed results for item loadings and internal consistency are presented in Table 5, with additional reliability metrics shown in Table 6. The path diagram for the CFA of the LGBTQ+ HCES is illustrated in Figure 1.

Discussion

To our knowledge, this study presents the first validated, patient-centered instrument in Poland explicitly designed to capture the healthcare experiences of LGBTQ+ individuals. The LGBTQ+ HCES demonstrated strong psychometric properties, including acceptable internal consistency across all subscales and excellent model fit indices, supporting its use as a reliable tool in research and applied settings.

The final version of the scale, encompassing 3 dimensions – Respect and Inclusivity, Discrimination and Microaggressions, and Trust and Comfort – closely reflects conceptual frameworks rooted in the minority stress model and structural stigma theory. These dimensions have also been identified in previous studies as key determinants of healthcare quality and access for SGM populations.2, 26, 27, 28 Importantly, our findings indicate that even within a relatively young, urban and highly educated LGBTQ+ cohort, negative clinical experiences remain common, with notably lower scores in perceived discrimination and provider competence.

The high internal consistency and robust factor structure suggest that the LGBTQ+ HCES successfully captures distinct but interrelated aspects of the patient experience. The Discrimination and Microaggressions subscale, which yielded the lowest mean score, underscores the persistence of subtle and overt biases in Polish healthcare settings. This finding aligns with international literature demonstrating the pervasiveness of microaggressions – often invisible to cisgender and heterosexual providers – such as inappropriate assumptions, invalidation of identity or reluctance to use inclusive language.29, 30

Conversely, the Respect and Inclusivity subscale had the highest score, suggesting that some interpersonal aspects of care – particularly overt disrespect or denial of identity – may be less prevalent. However, the relatively high ceiling effects on items related to being treated respectfully may also reflect limited item sensitivity or social desirability bias.

The Trust and Comfort subscale revealed moderate scores, consistent with studies showing that even when overt discrimination is absent, LGBTQ+ patients frequently report discomfort disclosing their identities or anticipating poor treatment.2, 12, 15, 26 This has critical implications for clinical care: nondisclosure is associated with reduced diagnostic accuracy, inappropriate treatment plans and poor health outcomes, particularly in mental health, sexual health and chronic disease management.31, 32, 33 Item 15 within this subscale demonstrated the highest floor effect (31.4%). This finding likely reflects structural barriers in the Polish healthcare system, where information about LGBTQ+-affirmative providers remains scarce and often inaccessible. Although the item showed lower factor loading and item–total correlation compared to other items, it was retained due to its conceptual relevance: knowing where to find inclusive services is a critical dimension of comfort and trust in healthcare. Importantly, the overall reliability of the subscale remained acceptable, indicating that inclusion of this item did not compromise the psychometric integrity of the instrument.

While several instruments assess healthcare provider competencies toward LGBTQ+ patients (e.g., the LGBT-DOCSS, the GAP), these tools do not capture the patients’ perspectives.2, 34 The LGBTQ+ HCES fills this gap in Poland, where widespread institutional hostility and sociopolitical marginalization exacerbate mistrust toward healthcare services.7, 8, 35

Practical implications

The validated LGBTQ+ HCES provides a robust, culturally relevant instrument for assessing the healthcare experiences of sexual and gender minorities in Poland. Its practical applications span clinical, administrative and policy levels. The scale enables routine monitoring of inclusivity and patient-centeredness in clinical settings, offering insight into perceived respect, safety and discrimination. Facilities may use subscale scores to identify specific domains – such as fear of disclosure or lack of cultural competence – that require targeted interventions. At the healthcare system level, the tool can facilitate equity-focused audits and inform continuous quality improvement initiatives. Integration into national health reporting frameworks would allow for standardized benchmarking and longitudinal tracking of LGBTQ+ patient experiences across regions and care settings. The LGBTQ+ HCES may also serve as an outcome measure in intervention studies, evaluating the impact of inclusivity training or structural reforms (e.g., removal of binary intake forms). Finally, it offers a means of amplifying community voice, enabling LGBTQ+ individuals to report health system performance based on lived experience. By translating subjective experiences into measurable data, the LGBTQ+ HCES provides the empirical foundation needed to guide responsive, equity-driven health system reforms in settings where LGBTQ+ health remains politically contested and structurally neglected. Beyond Poland, the LGBTQ+ HCES also holds potential for cross-cultural adaptation. Applying the scale in other healthcare systems would allow for standardized international comparisons of LGBTQ+ patients’ experiences, facilitating both the identification of universal barriers and the recognition of context-specific challenges. Such comparative research could strengthen the global evidence base needed to inform inclusive and equity-driven healthcare reforms. This makes the LGBTQ+ HCES particularly valuable for use in countries with sociopolitical contexts comparable to Poland, where LGBTQ+ health remains under-researched and marginalized.

Limitations

This study has several limitations. First, participants were recruited through convenience sampling on social media platforms, which may limit representativeness to LGBTQ+ individuals who are active online and engaged in digital communities. As a result, the findings may not fully reflect the experiences of those with limited internet access or those less connected to LGBTQ+ networks. Second, self-report questionnaires introduce the potential for social desirability or recall bias. Lastly, while the scale demonstrated strong psychometric properties in the Polish context, future studies may explore its test–retest reliability and sensitivity to change over time in intervention-based research.

Conclusions

The LGBTQ+ HCES demonstrated strong psychometric properties, including robust content validity, high internal consistency, and good model fit. The tool captures 3 core dimensions of LGBTQ+ individuals’ experiences in the healthcare system: Respect and Inclusivity, Discrimination and Microaggressions, and Trust and Comfort in clinical settings.

The LGBTQ+ HCES provides a reliable and practical measure for evaluating healthcare experiences among sexual and gender minorities in Poland. It is suitable for academic research and public health applications, health system evaluation and equity-focused service improvement. The scale is intended to inform efforts to identify and address healthcare inequities affecting LGBTQ+ populations and support interventions to enhance inclusivity and responsiveness in clinical practice. Its adoption in health systems and research settings may contribute to more inclusive policy development and patient-centered care for LGBTQ+ populations.

Data Availability Statement

The datasets generated and/or analyzed during the current study are available in Zenodo at https://doi.org/10.
5281/zenodo.17026585
.

Consent for publication

Not applicable.

Use of AI and AI-assisted technologies

OpenAI’s ChatGPT was used for language editing and proofreading to ensure the final manuscript’s clarity, coherence, and linguistic accuracy.

Tables


Table 1. Sociodemographic characteristics of the sample

Parameter

Total (n = 172)

Age

mean (SD)

30.95 (8.69)

median (IQR)

29 (23.75–37)

range

18.5–56

n

172

Gender

cisgender woman

51 (29.65%)

transgender woman

7 (4.07%)

cisgender man

82 (47.67%)

transgender man

8 (4.65%)

non-binary person

20 (11.63%)

other

4 (2.33%)

Sexual orientation

heterosexual

5 (2.91%)

homosexual

120 (69.77%)

bisexual

25 (14.53%)

pansexual

10 (5.81%)

asexual

10 (5.81%)

queer

14 (8.14%)

other

1 (0.58%)

Current relationship status

yes, monogamous relationship

95 (55.23%)

yes, polyamorous relationship

11 (6.40%)

no

62 (36.05%)

other

4 (2.33%)

Place of residence

rural area

15 (8.72%)

city <100,000 inhabitants

23 (13.37%)

city 100,000–500,000 inhabitants

38 (22.09%)

city >500,000 inhabitants

96 (55.81%)

Education level

primary/elementary

2 (1.16%)

vocational

3 (1.74%)

secondary

61 (35.47%)

bachelor’s or engineering degree

40 (23.26%)

master’s degree

52 (30.23%)

doctoral or higher

14 (8.14%)

SD – standard deviation; IQR – interquartile range.
Table 2. Descriptive statistics for the LGBTQ+ HCES and its subscales

LGBTQ+ HCES

Score (range)

N

Mean

SD

Median

Min

Max

Q1

Q3

Total LGBTQ+ HCES Score

15–105

172

62.70

9.40

63

39

90

55.75

69

Respect and Inclusiveness

5–35

172

25.56

5.93

26

6

35

21.00

30

Discrimination and Microaggressions

5–35

172

16.41

7.24

16

5

35

11.00

21

Trust and Comfort

5–35

172

20.72

6.93

20

5

35

15.00

26

LGBTQ+ HCES – LGBTQ+ Healthcare Experiences Scale.
Table 3. Floor and ceiling effects per item of the LGBTQ+ HCES

Item*

Floor effect

Ceiling effect

1. My health needs as an LGBTQ+ person were taken seriously.

2.9%

27.9%

2. I have avoided seeking medical care at some point due to fear of how my gender identity and/or sexual orientation might be received.

8.1%

57.6%

3. I have encountered stereotypical or offensive language from healthcare staff directed at me or at the LGBTQ+ community.

13.4%

43.0%

4. I trust healthcare providers to provide appropriate care for LGBTQ+ people.

9.3%

11.0%

5. Healthcare staff respected my gender identity (e.g., by using my correct name or pronouns), regardless of whether I had to explain it.

8.7%

50.0%

6. I felt safe discussing my gender identity and/or sexual orientation with healthcare professionals.

7.6%

20.3%

7. I have avoided disclosing my gender identity and/or sexual orientation due to fear of negative reactions from healthcare providers (e.g., bias, denial of care, or mistreatment).

29.7%

18.6%

8. I was treated with respect by healthcare staff.

1.7%

29.7%

9. I experienced prejudice or discrimination based on my gender identity and/or sexual orientation.

9.3%

30.8%

10. Healthcare staff demonstrated awareness and understanding of LGBTQ+ health needs.

8.1%

14.5%

11. I felt welcomed as an LGBTQ+ person in the healthcare setting.

9.3%

15.7%

12. I felt I was treated equally to other patients, regardless of my gender identity and/or sexual orientation.

4.1%

28.5%

13. I felt that my experiences as an LGBTQ+ person were acknowledged and taken into account in the care I received.

5.8%

18.6%

14. I felt judged or stereotyped by healthcare staff (e.g., through tone of voice, eye contact, or body language) due to my gender identity and/or sexual orientation.

5.8%

27.9%

15. I know where to find an LGBTQ+-affirming healthcare provider or facility.

31.4%

22.7%

*Items are shown in English translation for presentation purposes only. The original validation was conducted using the Polish version of the LGBTQ+ HCES.
Table 4. Results of fit indices

Model

χ2/df

p-value

RMSEA

CFI

SRMR

Model I

1.876

p < 0.001

0.072

0.992

0.069

Model II

1.284

p = 0.047

0.041

0.998

0.057

RMSEA – root mean square error of approximation; CFI – comparative fit index; SRMR – standardized root mean square residual; df – degrees of freedom.
Table 5. Standardized factor loadings and internal consistency of the LGBTQ+ HCES subscales

Scale

Item

Loading

p-value

Cronbach’s α

McDonald’s

ω index

Respect and Inclusiveness

HCES 1

0.700

p < 0.001

0.770

0.92

HCES 5

0.426

p < 0.001

HCES 8

0.724

p < 0.001

HCES 12

0.845

p < 0.001

HCES 13

0.863

p < 0.001

Discrimination and Microaggressions

HCES 2

0.673

p < 0.001

0.745

HCES 3

0.601

p < 0.001

HCES 7

0.787

p < 0.001

HCES 9

0.691

p < 0.001

HCES 14

0.685

p < 0.001

Trust and Comfort

HCES 4

0.723

p < 0.001

0.778

HCES 6

0.829

p < 0.001

HCES 10

0.809

p < 0.001

HCES 11

0.834

p < 0.001

HCES 15

0.329

p < 0.001

LGBTQ+ HCES – LGBTQ+ Healthcare Experiences Scale.
Table 6. Item-level reliability analysis for the LGBTQ+ HCES subscales

Scale

Item

Alpha when item omitted

Item-total correlation

Respect and Inclusiveness

HCES 1

0.712

0.590

HCES 5

0.806

0.354

HCES 8

0.706

0.631

HCES 12

0.679

0.678

HCES 13

0.732

0.531

Discrimination and Microaggressions

HCES 2

0.720

0.453

HCES 3

0.693

0.529

HCES 7

0.697

0.518

HCES 9

0.704

0.496

HCES 14

0.685

0.561

Trust and Comfort

HCES 4

0.729

0.582

HCES 6

0.696

0.672

HCES 10

0.691

0.698

HCES 11

0.704

0.662

HCES 15

0.854

0.273

LGBTQ+ HCES – LGBTQ+ Healthcare Experiences Scale.

Figures


Fig. 1. Path diagram for confirmatory factor analysis (CFA) of the LGBTQ+ Healthcare Experiences Scale (HCES)

References (35)

  1. Lund EM, Burgess CM. Sexual and gender minority health care disparities. Primary Care Clin Office Pract. 2021;48(2):179–189. doi:10.1016/j.pop.2021.02.007
  2. Bidell MP. The Lesbian, Gay, Bisexual, and Transgender Development of Clinical Skills Scale (LGBT-DOCSS): Establishing a new interdisciplinary self-assessment for health providers. J Homosex. 2017;64(10):1432–1460. doi:10.1080/00918369.2017.1321389
  3. Sileo KM, Baldwin A, Huynh TA, et al. Assessing LGBTQ+ stigma among healthcare professionals: An application of the health stigma and discrimination framework in a qualitative, community-based participatory research study. J Health Psychol. 2022;27(9):2181–2196. doi:10.1177/13591053211027652
  4. Tran NM, Gonzales G, Fry CE, Dusetzina SB, McKay T. Patterns of lesbian, gay, bisexual, transgender, and queer patient experiences and receipt of preventive services [published online as ahead of print on May 4, 2025]. Health Serv Res. 2025. doi:10.1111/1475-6773.14632
  5. Nair JM, Waad A, Byam S, Maher M. Barriers to care and root cause analysis of LGBTQ+ patients’ experiences: A qualitative study. Nurs Res. 2021;70(6):417–424. doi:10.1097/NNR.0000000000000541
  6. Nowaskie DZ, Menez O. Healthcare experiences of LGBTQ+ people: Non-binary people remain unaffirmed. Front Sociol. 2024;9:1448821. doi:10.3389/fsoc.2024.1448821
  7. Kubal A. Queer coalition? The crisis of justice in Poland and LGBTQ+ rights before the Polish courts. Europe-Asia Studies. 2024;76(9):1347–1370. doi:10.1080/09668136.2024.2402342
  8. Jesus S. Annual Review 2025. Geneva, Switzerland: International Lesbian, Gay, Bisexual, Trans and Intersex Association (ILGA); 2025. https://www.ilga-europe.org/report/annual-review-2025. Accessed July 27, 2025.
  9. Baiocco R, Pezzella A, Pistella J, et al. LGBT+ training needs for health and social care professionals: A cross-cultural comparison among seven European countries. Sex Res Soc Policy. 2022;19(1):22–36. doi:10.1007/s13178-020-00521-2
  10. Donisi V, Amaddeo F, Zakrzewska K, et al. Training healthcare professionals in LGBTI cultural competencies: Exploratory findings from the Health4LGBTI pilot project. Patient Educ Couns. 2020;103(5):978–987. doi:10.1016/j.pec.2019.12.007
  11. Casey LS, Reisner SL, Findling MG, et al. Discrimination in the United States: Experiences of lesbian, gay, bisexual, transgender, and queer Americans. Health Serv Res. 2019;54(Suppl 2):1454–1466. doi:10.1111/1475-6773.13229
  12. Hatzenbuehler ML, Lattanner MR, McKetta S, Pachankis JE. Structural stigma and LGBTQ+ health: A narrative review of quantitative studies. Lancet Public Health. 2024;9(2):e109–e127. doi:10.1016/S2468-2667(23)00312-2
  13. Hash KM, Rogers A. Clinical practice with older LGBT clients: Overcoming lifelong stigma through strength and resilience. Clin Soc Work J. 2013;41(3):249–257. doi:10.1007/s10615-013-0437-2
  14. Karniej P, Pietrzykowski Ł, Dissen A, Juárez-Vela R, Kulińska J, Czapla M. Lesbian, gay, bisexual, and transgender (LGBT) clinical competence of medical professionals in Poland [published online as ahead of print on March 10, 2025]. Sex Res Soc Policy. 2025. doi:10.1007/s13178-025-01081-z
  15. Huang MF, Chang YP, Lin CY, Yen CF. A newly developed scale for assessing experienced and anticipated sexual stigma in health-care services for gay and bisexual men. Int J Environ Res Public Health. 2022;19(21):13877. doi:10.3390/ijerph192113877
  16. Montero I, León OG. A classification system for method within research reports in psychology [in Spanish]. Int J Clin Health Psychol. 2005;5(1):115–127.
  17. Hasson F, Keeney S, McKenna H. Research guidelines for the Delphi survey technique. J Adv Nurs. 2000;32(4):1008–1015. doi:10.1046/j.1365-2648.2000.t01-1-01567.x
  18. Linstone HA, ed. The Delphi Method: Techniques and Applications. 3rd ed. Reading, USA: Addison-Wesley; 1979. ISBN: 978-0-201-04294-8, 978-0-201-04293-1.
  19. Aiken LR. Three coefficients for analyzing the reliability and validity of ratings. Educ Psychol Meas. 1985;45(1):131–142. doi:10.1177/0013164485451012
  20. Zamanzadeh V, Ghahramanian A, Rassouli M, Abbaszadeh A, Alavi-Majd H, Nikanfar AR. Design and Implementation Content Validity Study: Development of an instrument for measuring patient-centered communication. J Caring Sci. 2015;4(2):165–178. doi:10.15171/jcs.2015.017
  21. Argimon Pallàs JM, Jiménez Villa J. Métodos de investigación clínica y epidemiológica. Madrid, Spain: Elsevier España, S.L; 2019. ISBN:978-84-9113-007-9.
  22. Falissard R. psy: Various Procedures Used in Psychometrics. The Comprehensive R Archive Network (CRAN); 2022. https://cran.r-project.org/web/packages/psy/index.html. Accessed April 1, 2024.
  23. Rosseel Y. lavaan: An R package for structural equation modeling. J Stat Soft. 2012;48(2):1–36. doi:10.18637/jss.v048.i02
  24. Revelle W. psych: Procedures for Psychological, Psychometric, and Personality Research. The Comprehensive R Archive Network (CRAN); 2024. https://cran.r-project.org/web/packages/psych/index.html. Accessed April 1, 2024.
  25. Soetaert K. diagram: Functions for Visualising Simple Graphs (Networks), Plotting Flow Diagrams. The Comprehensive R Archive Network (CRAN); 2020. https://cran.r-project.org/web/packages/diagram/index.html. Accessed April 1, 2024.
  26. Karniej P, Dissen A, Juarez-Vela R, Gea-Caballero V, Echániz-Serrano E, Czapla M. Psychometric properties and cultural adaptation of the Polish version of the Lesbian, Gay, Bisexual, and Transgender Development of Clinical Skills Scale (LGBT- DOCSS-PL). J Homosex. 2025;72(1):45–59. doi:10.1080/00918369.2024.2302970
  27. Yu H, Flores DD, Bonett S, Bauermeister JA. LGBTQ+ cultural competency training for health professionals: A systematic review. BMC Med Educ. 2023;23(1):558. doi:10.1186/s12909-023-04373-3
  28. Bonvicini KA. LGBT healthcare disparities: What progress have we made? Patient Educ Couns. 2017;100(12):2357–2361. doi:10.1016/j.pec.2017.06.003
  29. Beaton DE, Bombardier C, Guillemin F, Ferraz MB. Guidelines for the Process of Cross-Cultural Adaptation of Self-Report Measures. Spine (Phila Pa 1976). 2000;25(24):3186–3191. doi:10.1097/00007632-200012150-00014
  30. European Union Agency for Fundamental Rights. A Long Way To Go for LGBTI Equality. Luxembourg, Luxembourg: Publications Office; 2020. https://data.europa.eu/doi/10.2811/348583. Accessed August 21, 2025.
  31. Morris M, Cooper RL, Ramesh A, et al. Training to reduce LGBTQ-related bias among medical, nursing, and dental students and providers: A systematic review. BMC Med Educ. 2019;19(1):325. doi:10.1186/s12909-019-1727-3
  32. Brooks H, Llewellyn CD, Nadarzynski T, et al. Sexual orientation disclosure in health care: A systematic review. Br J Gen Pract. 2018;68(668):e187–e196. doi:10.3399/bjgp18X694841
  33. Makadon HJ. Ending LGBT invisibility in health care: The first step in ensuring equitable care. Cleve Clin J Med. 2011;78(4):220–224. doi:10.3949/ccjm.78gr.10006
  34. Crisp C. The Gay Affirmative Practice Scale (GAP): A new measure for assessing cultural competence with gay and lesbian clients. Soc Work. 2006;51(2):115–126. doi:10.1093/sw/51.2.115
  35. Nakielska J. Polityka polskich władz dewastuje sytuację życiową osób LGBT+: publikujemy raport o Sytuacji społecznej osób LGBTA w Polsce. Warsaw, Poland: Kampania Przeciw Homofobii; 2021. https://kph.org.pl/polityka-polskich-wladz-dewastuje-sytuacje-zyciowa-osob-lgbt-publikujemy-raport-o-sytuacji-spolecznej-osob-lgbta-w-polsce. Accessed August 25, 2024.