Health Care Delivery Research Articles

Managing operational resilience during the implementation of digital transformation in healthcare organisational practices

PurposeThe aim of this study is to investigate ways in which healthcare organisations can successfully maintain operational resilience within intricate and varied engagements during digital transformation processes.Design/methodology/approachThe present research applied cultural-historical activity theory as the theoretical framework and the ethnographic account as an approach and strategy to interpret and understand the operational resilience of digital transformation tools in daily practices. Fieldwork was based on the research technique of shadowing, whereby the researcher closely accompanied the participants to record their conduct, activities and exchanges.FindingsResearch results propose that effective operational resilience management in the implementation of digital transformation projects is based on (1) identifying and interpreting internal contradictions in everyday interactions as opportunities for capability developments; (2) navigating through multiple sites in fast and improvised movements, which derives in distributed and emergent practices; (3) interplaying between dyadic interactions and networked dependencies, which is achieved through the articulation of varied interests and (4) implementing novel intermediary tools, roles and regulations that facilitate the reduction of disturbances.Originality/valueThe propositions of the present study indicate that the management of operational resilience extends beyond conventional adaptive and socio-technical models in healthcare services. The study emphasises the significance of expressing and converting differing interests into mutual advantages. It additionally demonstrates the intricacy of this obstacle, as it entails navigating through uncertain information, concealed interpretations and conflicting interests.

The Relationship Between Leadership Characteristics and Services Provided Among IHS Urban Indian Health Programs

The Urban Indian Health Program was created by the Indian Health Service to establish a culturally appropriate health care delivery model for Native Americans who relocate to urban areas. The 31 community-based Indian Health Programs under the Office of Urban Indian Health Program vary in culture, socioeconomic, and patient mix. Strategic decision-making by these community-based Indian Health Programs depends upon various factors, including leaders’ characteristics, organizational characteristics, and service area market factors.

Diabetes prevention after gestational diabetes: challenges and opportunities

Abstract Gestational diabetes (GDM) poses significant health concerns for women and their offspring, with implications that extend beyond pregnancy. While GDM often resolves postpartum, a diagnosis of GDM confers a greater risk of future type 2 diabetes (T2D) and other chronic illnesses. Furthermore, the intergenerational impact of GDM predisposes offspring to increased chronic disease risk. Despite the awareness of the short- and long-term consequences of GDM, translating this knowledge into prevention strategies remains challenging. Challenges arise from a lack of clarity among health professionals regarding roles and responsibilities in chronic disease prevention and women’s lack of awareness of the magnitude of associated health risks. These challenges are compounded by changes in the circumstances of new mothers as they adjust to balance the demands of infant and family care with their own needs. Insights into behaviour change strategies, coupled with advances in technology and digital healthcare delivery options, have presented new opportunities for diabetes prevention among women with a history of GDM. Additionally, there is growing recognition of the benefits of adopting an implementation science approach to intervention delivery, which seeks to enhance the effectiveness and scalability of interventions. Effective prevention of T2D following GDM requires a comprehensive person-centred approach that leverages technology, targeted interventions, and implementation science methodologies to address the complex needs of this population. Through a multifaceted approach, it is possible to improve the long-term health outcomes of women with prior GDM.

The ‘STRICT’ framework for promoting effective malaria control in Ghana

Abstract Background Malaria remains a significant public health burden, necessitating evidence-based strategies to reduce prevalence and associated morbidity. This study explores the potential of integrated healthcare, encompassing both modern and traditional herbal medicine (THM), for malaria control in Ghana. Methods Employing a qualitative approach, semi-structured interviews were conducted with medical doctors, pharmacists, and THM providers. Thematic analysis approach was utilized to inductively analyse interview data and integrate participants’ lived experiences and suggestions. Results Six themes emerged: Standardization of THM practice; Training on THM broadened; Research on THM expanded; Increasing awareness of THM integration hospitals and inclusion of THM in national health insurance scheme; Constant supply of certified herbal medications; and Tax relief provision. These recommendations form the ‘STRICT’ framework for developing functional health system for promoting an effective malaria control through integrated healthcare in Ghana. Conclusion It was evident that the ‘STRICT’ framework can potentially transform healthcare delivery and improve service quality for malaria patients. Policymakers, healthcare providers, and managers can utilize these insights to advocate for and implement integrated healthcare strategies, ultimately enhancing service delivery for all Ghanaians, particularly those suffering from malaria.

Enhancing Collaborative Leadership in Healthcare: Addressing Ego Conflicts for Organizational Harmony and Improved Patient Care

In today’s complex healthcare environment, fostering collaboration between medical professionals and administrative teams is essential for delivering high- quality patient care. However, non-clinical conflicts, often driven by differences in authority, communication gaps, and ego clashes, can disrupt organizational harmony. These conflicts between doctors, nursing heads, and corporate teams can negatively affect operational efficiency, care outcomes, and staff morale. This article explores the root causes of these conflicts, highlights successful global strategies for resolving them, and provides a comprehensive framework for promoting a culture of mutual respect and teamwork within healthcare settings. By implementing these approaches, healthcare organizations can create a cooperative environment that enhances both staff satisfaction and patient outcomes. Moreover, the article examines how these strategies can be applied globally to address similar challenges across diverse healthcare settings.

Defining Responsibility: A Framework Analysis of Error Attribution and Accountability in AI Telemedicine Services

This study examines the regulatory landscape governing liability and accountability in AI telemedicine in Ghana. Using the CREAC (Context, Rules, Explanation, Application, Conclusion) legal analytical approach, it analyzes existing Ghanaian healthcare laws and regulations in the context of AI telemedicine. The study finds that while Ghana has a comprehensive set of healthcare regulations, they are inadequately equipped to address the unique challenges posed by AI in telemedicine, particularly regarding liability determination, accountability mechanisms, and error management. Significant gaps exist in current legislation, leaving Ghana vulnerable to the risks associated with AI in healthcare. The study recommends developing AI-specific healthcare legislation, updating existing laws, establishing a national AI in healthcare ethics committee, implementing a certification system for AI in healthcare, and creating a specialized AI healthcare liability framework. These measures aim to balance innovation in AI telemedicine with patient safety and ethical healthcare delivery.

Ensuring AI Algorithm Fairness in Healthcare Decision-Making

This paper provides a comprehensive analysis of artificial intelligence (AI) implementation in Ghana's healthcare system, synthesizing findings from recent Ghanaian studies. It examines legal and regulatory frameworks, ethical considerations, bias and fairness, transparency and accountability, interdisciplinary approaches, patient rights and data protection, healthcare access and equity, and implementation and oversight. The analysis reveals both significant opportunities for AI to improve healthcare delivery in Ghana and substantial challenges in ensuring its ethical, equitable, and effective implementation. Key findings highlight the need for AI-specific healthcare regulations, investment in local capacity building, culturally sensitive AI design, robust fairness and accountability mechanisms, and ongoing stakeholder engagement. This paper contributes to the discourse on AI in healthcare in developing countries, offering insights into the unique challenges faced by lower-middle-income countries. It aims to inform evidence-based policymaking and enrich academic understanding of AI implementation in diverse cultural and economic contexts.

Advancing Algorithmic Justice: A Systematic Review of Fair Decision-Making Protocols in Healthcare AI

This paper provides a comprehensive analysis of artificial intelligence (AI) implementation in Ghana’s healthcare system, synthesizing findings from recent Ghanaian studies. It examines legal and regulatory frameworks, ethical considerations, bias and fairness, transparency and accountability, interdisciplinary approaches, patient rights and data protection, healthcare access and equity, and implementation and oversight. The analysis reveals both significant opportunities for AI to improve healthcare delivery in Ghana and substantial challenges in ensuring its ethical, equitable, and effective implementation. Key findings highlight the need for AI-specific healthcare regulations, investment in local capacity building, culturally sensitive AI design, robust fairness and accountability mechanisms, and ongoing stakeholder engagement. This paper contributes to the discourse on AI in healthcare in developing countries, offering insights into the unique challenges faced by lower-middle-income countries. It aims to inform evidence-based policymaking and enrich academic understanding of AI implementation in diverse cultural and economic contexts.

A Platinum-Graded Green Hospital Building in India during COVID-19 Pandemic: From Planning to Execution and Outcome

Background: A green hospital building has superior qualities over general hospital buildings in terms of energy conservation, use of natural resources, clean indoor air quality, green housekeeping, and other characteristics that improve patient outcomes. During the COVID-19 pandemic, healthcare organizations worldwide faced significant challenges and difficulties running hospitals. These challenges motivated the healthcare administration to find possible solutions for possible protocols for the functioning of the hospital. Methods: It was a prospective study conducted at a tertiary care hospital in north India from March 2020 to Feb 2022. After multiple changes in the fields of committee formation, human resource management, training, setting of the donning area and the doffing area, setting of the patient care areas and the infection control practices, equipment utilization, protocols for the support services, patient status updation to family members, and finally maintaining the patient data for the official purpose. Results: The hospital statistics showed a recovery rate of 81%, a mortality rate of 18%, and average length of stay of 8 days in COVID-19 patient care. Conclusion: The experiences, the challenges learned, and the solutions made to combat this pandemic will be the guide for future pandemics. The green hospital building proved its supremacy in patient outcomes and is recommended by hospital administrators as a future hospital building.

The intersection of financial modeling and public health: A conceptual exploration of cost-effective healthcare delivery

This review paper explores the intersection of financial modeling and public health, highlighting the importance of cost-effective healthcare delivery in contemporary health systems. Financial modeling serves as a crucial tool for policymakers, providing evidence-based insights that inform decision-making and optimize resource allocation. Key financial models, including cost-benefit analysis and predictive modeling, are examined for their applications in public health initiatives, particularly in areas such as preventive care and chronic disease management. The paper discusses core public health priorities—prevention, access, and quality—and the economic constraints faced by healthcare systems. Recommendations are provided for policymakers and healthcare professionals to enhance the application of financial models, emphasizing the need for training, investment in data infrastructure, and fostering cross-sector collaborations. By leveraging financial modeling, public health systems can achieve improved health outcomes while maximizing resource efficiency, ultimately contributing to a more sustainable and equitable healthcare landscape.. Keywords: Financial Modeling, Public Health, Cost-Effectiveness, Healthcare Delivery, Resource Allocation, Preventive Care.

The role of big data in transforming financial management in U.S. healthcare: A conceptual framework

This paper explores the transformative role of big data in financial management within the U.S. healthcare sector, highlighting its capacity to address long-standing financial inefficiencies, enhance decision-making, and improve regulatory compliance. Big data technologies, such as predictive analytics and real-time financial reporting, provide healthcare institutions with the tools to forecast financial trends, optimize budgeting, and mitigate risks. Despite the significant benefits, the adoption of big data in healthcare finance faces challenges, including data privacy concerns, regulatory complexities, and technological limitations. The paper examines these barriers and enablers, offering strategic recommendations for healthcare institutions and policymakers to optimize the use of big data. By improving data governance, upgrading infrastructure, and fostering collaboration across departments, healthcare organizations can maximize the impact of big data on their financial operations. The review concludes with a call for continued policy support and financial incentives to encourage the broader adoption of big data in healthcare finance, ultimately promoting cost efficiency and operational resilience in the sector. Keywords: Big Data, Healthcare Financial Management, Predictive Analytics, Data Governance, Regulatory Compliance, Financial Decision-Making.

Employability of Nursing Graduates of Canossa College San Pablo City Inc. Batch 2008 to 2022: A Comprehensive Tracer Study

Every graduate tells a story, a tracer study tells the narrative. As the frontline warriors of patient care, the journey of nurses from academia to professional practice is a significant shift that shapes the future of healthcare delivery. The study utilized SDG 4: Quality Education and SDG 17: Partnership for the goals. This tracer study examined the employment outcomes of graduates and assessed whether the quality of education they received aligns with international standards. It also identifies areas that contribute to their successful employment outcomes. The study used a quantitative research design. A statistician reviewed and validated two questionnaires, which the study combined and altered. The data gathering was conducted online through the use of Google Forms. There are 480 nursing graduates between 2008 and 2022. As a result, the survey garnered 375 responses, representing 74% of the population. Overall, the study revealed that the Philippine Nursing Licensure Examination results of the graduates have consistently been above the national passing rate. A significant number of graduates have obtained nursing licensure abroad, with the United States being the leading country where most nursing graduates are employed. Majority of the graduates take only zero to five months to land their first jobs. Hence, respondents claimed that the employment success is highly influenced by the personal qualities they developed at the institution, as these qualities not only make graduates more employable but also ensure they can effectively meet the demands of their profession, enhancing both their career prospects and quality of healthcare service.

Ethical considerations related to virtual visiting for families and critically ill patients in intensive care: a qualitative descriptive study

BackgroundDuring the COVID-19 pandemic, virtual visiting technologies were rapidly integrated into the care offered by intensive care units (ICUs) in the UK and across the globe. Today, these technologies offer a necessary adjunct to in-person visits for those with ICU access limited by geography, work/caregiving commitments, or frailty. However, few empirical studies explore the ethical issues associated with virtual visiting. This study aimed to explore the anticipated or unanticipated ethical issues raised by using virtual visiting in the ICU, such that healthcare professionals can be informed about how to carry out virtual visits ethically, safely and productively.MethodsWe used a descriptive exploratory qualitative research approach recruiting a convenience sample of newly-graduated junior doctors facilitating ICU virtual visits in a tertiary academic centre. Eight newly graduated junior doctors, seven female and one male, aged 23–27, participated in semi-structured interviews. We analysed transcripts using an inductive coding approach.ResultsFive overarching themes emerged. Two of the themes namely, ‘fulfilling a moral instinct to connect families’ and ‘promoting autonomy’, arose from participants’ descriptions of how virtual visits aligned with healthcare standards and practices they considered ethical. Three further themes, ‘preserving dignity and privacy’, ‘managing emotional distress’, and ‘providing equitable access’ to virtual visiting technologies, highlight how virtual visits might exacerbate ethical issues related to family communications.ConclusionVirtual visiting may potentially both ameliorate and exacerbate aspects of ethical healthcare delivery for ICU patients and family members. ICU team members should consider unique ethical considerations related to using virtual visiting. We recommend virtual communications skills training for staff and advocate for the use of easily accessible educational resources for families who wish to visit critically unwell patients remotely.

Investigating the organizational commitment and its associated factors among the staff of the health sector: a cross-sectional research

IntroductionOrganizational commitment (OC) significantly impacts the quality of care provided by healthcare staff. It reflects employees’ connection to and engagement with their organization, affecting job satisfaction, employee turnover, and the overall success of the healthcare organization. This research seeks to assess OC levels and identify its influencing factors among health sector staff in Shiraz, southwestern Iran.MethodsIn this cross-sectional study, the staff of the health sector including physicians/family physician (FP), midwives, healthcare workers, psychologists, dentists, and nutritionists were selected through a multi-stage sampling; they filled out an online 36-item questionnaire (12 demographic items and 24-item Allen and Mayer OC questionnaire). The data were analyzed using SPSS software (version 25). Descriptive statistics of OC scores were provided. Also, independent samples t-test and analysis of variance were used as statistical tests, and P-value < 0.05 was considered the significant level.ResultsOverall, 289 staff with a mean age of 32 ± 7.6 years participated in this study. The OC total mean score was higher in the public sector compared with the private sector and higher in the non-FP team compared with the FP team. The mean score of all types of OC among all job positions was low. Moreover, education level, workplace, job experience in current job, engagement in other jobs for making money, and FP staff showed a significant association with the total mean score of OC.ConclusionAccording to the results, OC among health sector staff is low. Therefore, policymakers in the health sector are strongly recommended to implement immediate measures to enhance this critical factor among their workforce.

Community Health Agents Dismantling Gender Norms in a Machismo Society

Background Community health agents (CHAs) play a crucial role in healthcare delivery and can also impact societal gender norms. This study aims to understand CHAs’ perceptions of gender roles and norms to identify long-term strategies for women’s empowerment. Methods We conducted 90-min focus group discussions (FGDs) among CHAs in Peru. FGDs illuminated women’s perceptions of gender roles and how to empower women in communities. Results In total, 53 CHAs participated across six FGDs. CHAs noted that women face significant barriers, are treated disrespectfully, and relegated to domestic roles. Ideal gender norms were described as having access to education, increasing voice, inclusion in decision-making, and independence. Changing gender norms requires that men, women, families, and communities support women’s progress in society. Conclusions CHAs are in a unique and powerful position to drive social change. Understanding CHAs perceptions can help develop effective strategies for women’s empowerment.

COVID-19 public health restrictions and opioid overdoes: a summative content analysis of emergency medical services records in three Texas counties

BackgroundWith the broad recognition of increased U.S. opioid overdose (OOD) rates between 2020 and 2021, media, public health, and healthcare organizations have raised significant concerns over the emergence of a simultaneous COVID-19-opioid “twindemic.” Research in this area has explored the possible relationships between negative externalities associated with the pandemic and/or COVID-19 public health interventions and increased risks for opioid use and overdose alongside diminished outcomes following OOD events.MethodsThe study offers a summative content analysis of Emergency Medical Service (EMS) responses to opioid overdose (OOD) events before and after the institution of COVID-19 restrictions. Specifically, the study investigates three Texas counties to evaluate changing OOD rates, patient demographics, and OOD event features. The analysis uses a previously validated machine learning tool to identify OOD events and conducted a summative content analysis of identified events.ResultsA total of 1170 OOD responses events were identified in the three-county dataset. This includes 874 in Travis County, 242 in El Paso County, and 54 in Williamson County. Each county experienced modest changes in EMS calls for OOD events between the pre-restriction and public health restriction time periods. Travis County’s OOD event rate declined from 454 to 420. El Paso’s increased from 103 to 139, and Williamson County’s increased from 23 to 31. These changes were not significant as percentage of possible OOD events or based on by-month comparison. The notable differences between pre-restriction and public health restriction periods were significant decreases in documentation of patient race/ethnicity in Travis and Williamson Counties, significant decreases in housing insecurity and use alone in Travis County, and an increase in transport refusal after treatment in the field in Travis County.ConclusionsUltimately the results presented here problematize prevailing analyses about the so-called opioid-COVID-19 “twindemic.” The data further support emerging trends about substantial geographic variation and show some ways that COVID-19 mitigation measures may have improved conditions for some populations, particularly in terms of housing security. Additionally, the results presented here indicate that further attention should be paid to the effects of first responder stress on documentation quality.

Interns' and Junior Nurses' Workplace‐Violence Perceptions, Coping Confidence and Attitudes Towards Violence Management: A Structural Equation Model Analysis

ABSTRACTAimTo investigate interns' and junior nurses' perceptions, coping confidence and attitudes towards workplace violence in China.DesignCross‐sectional survey study involving 622 interns or nurses with &lt; 5 years of hospital experience.MethodsData were gathered from the largest tertiary hospital in southwestern mainland China using a general information questionnaire, the Perception of Aggression Scale, the Confidence in Coping with Patient Aggression Instrument and the Management of Aggressive and Violence Attitude Scale. Structural equation modelling was used to understand relationships and pathways between the nurses' perceptions of, confidence in dealing with and attitudes towards managing workplace violence.ResultsThe average scores for the perception of workplace violence, confidence in coping with workplace violence and attitudes towards violence management were 37.44 (±11.60), 29.84 (±8.23) and 81.87 (±23.72), respectively. Perceptions of workplace violence, confidence in coping with workplace violence and attitudes towards violence management show low to moderate correlations; confidence in coping with workplace violence was the mediating variable in the interactions among the three variables.ConclusionsInterns and junior nurses have weaker perceptions of workplace violence, lower confidence in their ability to cope with violence and more negative attitudes towards violence management. Perceptions of workplace violence affected attitudes towards violence management through the intermediary role of confidence in coping with workplace violence.ImplicationsNursing managers should increase education and training to improve interns' and junior nurses' awareness and confidence in dealing with workplace violence. Healthcare organisations should prevent and manage workplace violence to develop nurses' positive attitudes towards violence management.Reporting MethodThe study adhered to the STROBE checklist of cross‐sectional studies.Patient or Public ContributionInterns and nurses with &lt; 5 years of experience participated by voluntarily completing a paper questionnaire.

Biomedical Engineering Literature: Advanced Reading Skills for Research and Practice

Medical engineering is a field of study that combines biological and medical sciences with engineering to develop improved healthcare technologies. It is imperative that you possess a deep understanding of both the material and the technical language used in this rapidly advancing field in order to effectively grasp key topics and navigate the rapidly expanding literature. This paper examines the future of the biomedical engineering profession through the lens of advanced reading strategies. It starts with the assertion that biomedical engineering literature presents three challenges: the level of density is technical, the area is interdisciplinary, and the growth of knowledge is exponential. In the view of the above challenges, the paper discusses various advanced reading skills in relation to biomedical engineers. These skills include the ability to critically read scientific texts, both at a fast pace for an overview and in detail for deeper understanding, to identify key ideas and methodologies relevant to the field, and to assess the validity of scientific claims and data representations. The paper also aims at pointing out how separate elements like the use of systematic reviews, of meta-analysis, of data visualization tools that complement reading, help the researcher in the process of managing gathered information from various sources. This paper describes teaching these skills for both academic and professional practice, with examples of how improved reading competencies can enhance research quality and contribute to innovations in medical technologies, tissue engineering, and clinical trials. Furthermore, the paper aims to discuss the future trends due to the increasing incorporation of continuous learning for addressing the challenges posed by novel technologies including artificial intelligence and nanotechnology that define the future of biomedical engineering. biomedical engineering students require the acquisition of higher order reading skills in preparation for information reading: national and international publications in the engineering profession, policy and technology in support of health care delivery systems, product development, and other purposes. The ideas stated and demonstrated in this paper should be practical to both beginning scholars and veteran professionals in the biomedical engineering field as well as useful for seminar and workshop participants in seminars and workshops on biomedical engineering literature.

Student experiences of cultural competence encounters during MPharm placements and foundation year training

Abstract Introduction Cultural competence is the ability of a healthcare professional to work effectively with clients from different backgrounds. With 18.3% of the UK population identifying with non-white1, pharmacists need to be culturally competent as they have a patient-facing role. Having a multicultural society would require culturally competent pharmacists to effectively deliver healthcare services to patients of different cultures. Exploring pharmacy students' experiences of CC encounters during their MPharm placements and foundation year training is crucial as it helps identify the challenges and barriers they may face when providing healthcare to diverse populations. Understanding these experiences can inform the development of effective training programs to enhance cultural competence among future pharmacists and highlight the impact of cultural factors on patient care and outcomes. Ultimately, this exploration contributes to the overall goal of improving healthcare delivery and promoting patient-centred, culturally sensitive pharmacy practice. Aim This study aimed to explore experiences of student regarding cultural competence encounters during placements and training. Methods A qualitative study was conducted between Oct – Dec 2023. All currently enrolled students in Parts 3, 4 and the foundation year were eligible to participate. Convenience sampling was used. Semi-structured interviews were conducted online using a pilot-tested script. Interviews were audio and video recorded and held online through a Microsoft Teams account, where an automatic electronic transcript was generated. Initial codes were generated from each transcript, to create themes and sub-themes. The researcher scrutinised the themes before defining and naming them. Ethical clearance was obtained. Results A total of 15 students (8 males and 7 females) participated in the study. Four participants were from year 3, five were from year 4, and six were from the foundation year. Six participants were from Asian backgrounds, four were Black, and three were White. All students had a placement in hospital, while 14 had a placement in community pharmacy in addition to hospital, and 8 had a placement in a GP surgery in addition to the hospital and community pharmacy. Key themes identified were 1) Impact of culture on patient health including language barriers and ethnic diversity, 2) Influence of personal culture on practice during placements and training such as using patient’s language to communicate, personal cultural awareness, and the influence of religious teachings, 3) Recommendations for improving cultural competence training in MPharm programme such as having more case studies. Conclusion This study provides a unique exploration into the experiences of pharmacy students and shows the importance of immersing in diverse cultural groups during placements and foundation training. There is a need to enhance pharmacy students’ training through curricular reforms that build on theoretical knowledge to instil confidence during placements and training. This approach will equip future pharmacists to navigate complex cultural dynamics, to meet the demands of an inclusive healthcare system. Ultimately this research extends beyond the current reforms to the MPharm curriculum, and advocates for an equitable and inclusive healthcare system to reduce health disparities. The predominance of participants from Asian backgrounds may limit the generalisability of the findings. Reference 1. Office for National Statistics. Measuring equality: A guide for the collection and classification of ethnic group, national identity and religion data in the UK. Office for National Statistics 2021 https://www.ons.gov.uk/methodology/classificationsandstandards/measuringequality/ethnicgroupnationalidentityandreligion. Accessed 20 Dec 2023.

Unveiling Hong Kong’s mental health preferences: insights from survey experiment towards precision care

ABSTRACT This study, grounded in the discourse on precision mental health (PMH), investigates the service preferences of Chinese adults in Hong Kong. Through discrete choice experiments with 1,006 residents aged 18–75, mixed logit regression analysis was used to identify individual preferences, with sub-group analyses uncovering variations therein. Results highlight a strong preference for services that offer prompt access, affordability and professional endorsement, particularly outside the public sector. Additionally, familial contexts significantly influence these preferences, revealing conflicts in provider selection, access modalities, intervention types and the extent of family involvement. Psychological stress also affects service choice. This study underscores the diverse nature of service preferences among Chinese adults in Hong Kong, emphasising the need for targeted policy interventions to enhance PMH implementation within the local healthcare system. By exploring these nuanced preferences, this study enriches discussions on optimising mental healthcare delivery in Hong Kong and potentially other regions.