Enhance Quality Of Care Research Articles

Patient Care Quality Management through Transformational Leadership: Literature Review

Background: Leadership is a central aspect of the nursing management process, with nurses serving as front-line personnel in providing services to patients. Inadequate quality of care has a significant impact on high mortality rates and substantial cost burdens. Purpose: This study aims to explore the relationship between the transformational leadership style of nurse managers and the quality of patient care. Method: Literature search was conducted in five database journals covering various disciplines. Original research and peer-reviewed methods published in English were included in the review criteria. The initial search yielded 4397 articles and only 24 articles met the criteria for analysis. The review process used the PRISMA system guideline. Results: The results of literature from various articles reveal that factors influencing the quality of care included job satisfaction, non-compliance with standard drug administration, high staff turnover, stress and fatigue, and organizational commitment. Conclusions: There was a significant correlation between transformational leadership and the quality-of-care outcomes. This leadership style provided inspiration to nursing managers enhancing care quality to the best level. Further study needs to provide evidence of adoption and implementation transformational leadership style.

The physician-AI relationship: partnering for precision medicine via clinical decision support

Abstract Background Clinical decision support systems (CDSSs) can enhance physician decision-making, but successful adoption depends on positive user attitudes. Understanding Israeli physicians’ attitudes toward CDSSs is crucial for overcoming implementation barriers and refining training. Methods Semi-structured interviews explored knowledge, experiences, perceived benefits/drawbacks, and potential barriers/facilitators to CDSS use among 25 Israeli physicians across specialties, roles, settings, and experience levels selected via stratified sampling. Individual 45-minute video interviews were conducted in January-July 2023. Results Familiarity and CDSS experience varied substantially across medical specialties. While risk calculators, information systems, and expert systems disseminating contemporary research insights are widespread, AI-based system adoption is relatively low outside radiology. Physicians expressed positive attitudes, recognizing CDSSs’ potential to enhance clinical work, reduce errors, and alleviate burdens. However, concerns included AI systems’ impact on workload, patient relationships, skill erosion, and overreliance. Key implementation barriers involved technological infrastructure, organizational processes, physician perceptions, and system features. Facilitating factors included tailored design, focused training, continuous accuracy/reliability validation, and clear autonomy/liability guidelines. Conclusions Addressing key concerns around transparency, trustworthiness and responsible use is crucial for AI-CDSS to fulfill its promise of enhancing quality and outcomes. Insights from Israeli clinicians provide guidance on priorities like transparency of data and algorithms as well as ensuring AI behaves ethically. Collaboration among technology designers, healthcare professionals and stakeholders can help develop systems that physicians trust to improve care while safeguarding patients. Ongoing evaluation is also needed to optimize AI-CDSS over time. Key messages • Understanding physician attitudes is key to overcoming barriers to clinical decision support system adoption and optimizing training protocols. • Addressing transparency, trustworthiness, and ethical considerations around AI clinical decision support systems is crucial for enhancing quality care.

Holistic Patient Care: A Narrative Review on the Synergy of Internal Medicine, Anesthesiology, and Surgical Practices

Introduction: holistic patient care, which integrates the efforts of Internal Medicine, Anesthesiology, and Surgical Practices, has been shown to improve patient outcomes across the continuum of care. This review aimed to explore the synergy between these specialties and highlight how their collaboration contributes to comprehensive, patient-centered care.Method: a narrative review was conducted using peer-reviewed literature from databases such as PubMed, Scopus, and Google Scholar. The search focused on articles published in the last 15 years, using terms related to interdisciplinary collaboration in healthcare. Data from relevant studies were synthesized and grouped into preoperative, intraoperative, and postoperative phases, with emphasis on how each specialty contributes to holistic care.Results: the review demonstrated that collaboration between these specialties is essential for optimizing preoperative risk management, ensuring intraoperative stability, and enhancing postoperative recovery. Internal Medicine played a key role in managing chronic conditions preoperatively, while Anesthesiology tailored anesthesia plans and managed perioperative pain. Surgical Practices, guided by insights from the other specialties, executed patient-centered surgeries. Despite the benefits, challenges such as communication barriers and resource limitations were identified.Conclusion: this review highlighted the critical role of interdisciplinary collaboration in holistic patient care. While the synergy between Internal Medicine, Anesthesiology, and Surgical Practices improved patient outcomes, addressing communication challenges and resource constraints is essential for further enhancing care quality.

Nurse-Led Medication Management for Older People in Home Care: A Systematic Review of Evolving Nurse Responsibilities in Technology-assisted Care

Technology-assisted care is transforming the home care landscape for older people requiring medication management. With evolving roles and responsibilities, nurse-led interventions are shaping the future of nursing practice in home care. This review aimed to identify and describe nurse-led roles in medication management in home care for older people within the context of technology-assisted care. A systematic review employing an integrative approach was conducted on the PubMed (covering MEDLINE), Scopus, CINAHL, ProQuest, and Embase, targeting studies published in English over the past decade, from 2014 to 2024. The initial database search identified 1629 studies, which were subsequently narrowed down to 20 studies selected for data analysis and narrative research synthesis. The review findings were classified into 3 categories: “fundamental principles,” “nurses and their role identities,” and “enhanced care quality and medication safety.” Given the effectiveness of nurses as leaders in technology-assisted home care for enhancing medication management safety, it is essential to implement policies that support and improve their involvement in multidisciplinary healthcare teams. Additionally, continuous education and training focused on technology-assisted care competencies are necessary to ensure nurses are well-prepared to enhance patient safety in home care.

Experiences of Indonesian nurses as Hajj health personnel in caring for Hajj pilgrims: A qualitative study.

Investigating the experiences and roles of nurses during Hajj is vital due to the unique public health challenges posed by the mass gathering of diverse pilgrims. Nurses play a crucial role in disease surveillance, infection control, and managing emergencies like heat stroke and injuries. Their insights can improve emergency preparedness and public health management. This study aimed to explore the experiences of Indonesian nurses as Hajj health personnel caring for Hajj pilgrims during the 2023 Hajj season. This study employed a qualitative descriptive design and selected participants through purposive sampling from hospitals, public healthcare centers, and clinics in Yogyakarta, Indonesia. Nine nurses participated in the research, and data were collected through a focus group discussion in December 2023. Thematic analysis was used to analyze the data. Six themes emerged, including practicing ethical principles in providing health care during the hajj process, competency qualifications as a health worker, the health care process during Hajj, legal Requirements for Hajj, the importance of therapeutic communication skills to establish cooperation with various parties, and recognizing the role of duties and responsibilities during the hajj process. The study emphasizes the importance of competencies, ethics, communication, and strategic planning in Hajj healthcare. Effective online communication, especially via WhatsApp, was crucial for coordination. The findings emphasize the need for strategic workforce planning, resource allocation, and continuous training to enhance care quality for pilgrims, informing better planning and policy development for future Hajj seasons.

Barriers and facilitators to primary care for people living with HIV and diabetes in Harare.

People living with human immunodeficiency virus (HIV) and comorbid diabetes mellitus (DM) face significant challenges owing to the complex interplay between these chronic conditions and the need for comprehensive and integrated care. Service availability and readiness for primary care are essential for the health of individuals and populations. This study aimed to explore barriers and facilitators to the provision of care to the patients with HIV and T2DM comorbidity. The study was conducted at Primary health centres in Harare, Zimbabwe. A mixed-methods design was applied. An audit of primary care facilities identified that there was adequate infrastructure and equipment for HIV and T2DM diagnosis and treatment. However, there are gaps in the availability of essential medicines and supplies, such as test strips for blood glucose monitoring. The assessment also showed that the centres had a chronic shortage of healthcare providers, including doctors, nurses and counsellors, and there was a need for additional training and support for healthcare providers in the management of HIV and T2DM. The study concludes that the delivery of health services to patients with HIV and T2DM at primary care centres in Harare, Zimbabwe, faces significant challenges. Suggestions included improved resource allocation and multisectoral collaboration to improve the delivery of healthcare services.Contribution:The research contributes insight into disparities between urban and rural primary care facilities in providing services, emphasizing the need for targeted interventions to bridge gaps and enhance care quality.

Translating and validating the gay affirmative practice scale for nurses in mainland China.

The gay affirmative practice (GAP) scale is an effective tool for evaluating the beliefs and behaviors of health care professionals toward gay and lesbian clients. This study aimed to examine the reliability and validity of the GAP scale among Chinese nurses. A quantitative cross-sectional study was conducted to evaluate the Chinese version of the GAP (C-GAP) scale after translation and cross-cultural adaptation and to examine its psychometric characteristics. The reliability and validity of the C-GAP scale were determined by item analysis, factor analysis, internal consistency, test-retest reliability, and discriminant construct validity. The GAP scale was translated and adapted specifically for China. A total of 1440 participants completed the C-GAP scale, sociodemographic questionnaire, and Marlowe-Crowne social desirability scale. The C-GAP scale exhibited a Cronbach α of 0.95, with a high test-retest reliability coefficient of 0.92. Exploratory factor analysis identified 2 factors that accounted for 59.91% of the total variance. The results of the confirmatory factor analysis were as follows: χ2/df = 1.09, goodness-of-fit index = 0.98, adjusted goodness-of-fit index = 0.97, root mean square error of approximation = 0.01, Tucker-Lewis index = 1.00, comparative fit index = 1.00, incremental fit index = 1.00, parsimony goodness-of-fit index = 0.85, and parsimony normed fit index = 0.91. These findings confirm that all goodness-of-fit indices were satisfactory. The C-GAP scale can be an effective tool for health care professionals and managers and for education and research; it can also identify the beliefs and behaviors of health care professionals toward gay and lesbian clients, facilitating cultural competence development and enhancing care quality awareness and skills. The C-GAP scale demonstrates reliability and validity; however, because the sample consisted only of nurses, the findings may not be generalizable to other professional groups, such as counselors and therapists. Therefore, the occupational focus of the sample limited the broader applicability of the results. The C-GAP scale is a reliable and valid tool suitable for assessing the practice attitudes and behaviors of Chinese nurses toward gay and lesbian clients.

Support workers knowledge, skills and education relating to dementia – a national survey

Background Dementia affects over 55 million people globally, projected to double by 2050. In the UK, non-registered staff, including healthcare assistants (HCAs) and clinical support workers, provide a significant portion of dementia care, yet receive limited training. This study explores the knowledge, training, and attitudes of support workers towards dementia. Methods A cross-sectional web-based survey was conducted from February 1 to April 1, 2024, targeting support workers in England. The survey included demographic information, dementia knowledge (using the Dementia Knowledge Assessment Scale, DKAS), and attitudes (using the Dementia Attitudes Scale, DAS). Data were analysed using descriptive statistics, ANOVA, t-tests, and Pearson’s correlation. Results One hundred and nine support workers responded, predominantly female (90%) and white British (76.4%), from various NHS settings and occupational groups. The majority (79.8%) had received dementia training, primarily from their organisations. Challenges included managing behavioural and psychological symptoms and communication difficulties. There was no significant correlation between years of experience and dementia knowledge (r = -0.019) or attitudes (r = -0.057). However, higher occupational grades were associated with greater dementia knowledge (p = <0.01). A moderate positive correlation was found between dementia knowledge and attitudes (r = 0.35, p = <0.01). Despite high levels of knowledge, support workers often feel inadequately prepared to provide optimal dementia care, indicating a need for more comprehensive training. Challenges in communication and managing symptoms highlight areas for improvement. The study suggests that better training can improve both knowledge and attitudes, enhancing care quality for people living with dementia. Conclusion Support workers play a crucial role in dementia care but require more robust training programs to meet the growing demands. Enhanced training can improve their knowledge and attitudes, leading to better care outcomes for people with dementia.

Patient-Centered Care as an Optimal Solution for Enhancing the Quality of Healthcare Delivery

The measurement of patients' satisfaction with the quality of treatment hinges on the extent to which their intended expectations, objectives, and preferences are met through interactions with healthcare professionals, including nurses. The paradigm of patient-centered care is increasingly recognized as pivotal for delivering high- quality nursing services. Evolving health information, technological advancements, shifting perceptions of care, greater patient engagement, and heightened competition within healthcare drive the pursuit of enhanced care quality. Assessing patients' perspectives is integral to improving healthcare quality, ensuring that services effectively align with patients' needs. This paper explores factors influencing patient-centered care and delves into the concept's tenets and implications for nursing practice.

Midwife-led quality improvement: Increasing the use of evidence-based birth practices in Uganda

BackgroundAddressing the evidence-to-practice gap in midwifery is vital for improving maternal and newborn health outcomes. Despite the potential of involving midwives in quality improvement interventions to address this gap, such interventions are understudied. In a Ugandan urban hospital, midwifery practices with a significant evidence-to-practice gap have been identified as areas for clinical improvement. ObjectivesThe primary objective of the Quality Improvement was to increase the uptake of identified and essential midwifery practices through a quality improvement approach led by midwives. ParticipantsWe enrolled 703 women aged 18 years and older with uncomplicated full-term pregnancies (between 37+0 and 42+0 weeks) who gave birth at the facility. InterventionThe intervention focused on evidence-based practices with an identified evidence-to-practice gap: dynamic birth position, including women's involvement in birth position decision-making, perineal protection and intrapartum support. A team of midwives led a seven-month co-created quality improvement intervention. The intervention used Plan–Do–Study–Act (PDSA) cycles, following the Model for Improvement and included a train-the-trainer approach and weekly online support meetings. Data collectionIn this single-case prospective observational study, we compared pre-, during and post-intervention uptake of evidence-based practices. Trained research assistants collected data through interviews and observations. ResultsWe observed improvements in the uptake of all clinical improvement areas. Dynamic birth positions increased from 0 % to 79 %, decision-making of birth positions from 0 % to 75 %, perineal protection measures from 62 % to 92 % and intrapartum support from 7 % to 67 %. ConclusionA multifactorial midwife-led Quality Improvement resulted in significant and sustained improvements in the uptake of evidence-based practices in maternal and newborn healthcare. If given the mandate and time, midwives can successfully lead Quality Improvements, which enhance the quality of care and close the evidence-to-practice gaps in maternal and newborn health. The study's results underscore the significance of developing effective strategies to enhance care quality and promote the adoption of evidence-based midwifery practices.

Innovative Approaches in Therapeutic Clinical Nutrition: Enhancing Quality of Care through Technology

Background: This systematic review explores a diverse range of international and indigenous healthcare research studies, spanning topics from diabetes management to cardiovascular care. The synthesis aims to identify overarching themes, sub-themes, and emerging trends in healthcare practices, emphasizing the integration of digital technologies and advancements in nutrition therapy. Aim: The primary objective is to provide a comprehensive overview of healthcare literature, combining international and indigenous perspectives, to uncover commonalities and distinctions in approaches to patient care, treatment modalities, and research methodologies. Method: A systematic and thorough review of 20 selected studies, encompassing international and Saudi Arabian research, was conducted. The studies, published between 2020 and 2024, were analyzed for their key themes, sub-themes, and trends, creating a detailed understanding of the current landscape of healthcare practices. Results: The synthesis revealed recurring themes, including the integration of digital technologies in diabetes care, advancements in medical nutrition therapy for obesity management, dynamic risk assessment in atrial fibrillation, and the potential of genetically modified food for nutritional security in Saudi Arabia. Sub-themes elucidated nuanced aspects of these overarching themes, offering a holistic perspective on contemporary healthcare strategies. Conclusion: International and indigenous research studies collectively underscore the importance of collaborative and context-specific approaches to healthcare. While global insights contribute to a broader understanding, indigenous studies emphasize the necessity of tailoring interventions to local needs. The synthesis not only highlights current achievements in healthcare but also identifies areas for further exploration and improvement.

Financial management, efficiency, and care quality: A systematic review in the context of Health 4.0.

This article investigates the intersection between innovation, Health 4.0, and financial management in the healthcare industry, emphasizing the importance of operational efficiency and quality of care. The study aims to analyze how financial management processes in healthcare relate to Health 4.0 and enhance care quality. It begins with a thorough theoretical grounding, proposing a framework that connects Health 4.0 with financial management practices. A systematic review of the literature was conducted, identifying trends, challenges, and opportunities in the financial management of Health 4.0. The results highlight selected articles on responsible innovation, Health 4.0 technologies, investments in health, hospital efficiency, performance forecasting, and high-cost patient management. These articles were clustered into "Data Analysis and Machine Learning in Healthcare" and "Health Management and Sustainability," providing a categorized understanding of the topics. The study reveals that Health 4.0 offers significant opportunities for process efficiency and cost reduction without compromising service quality. It highlights strategic advantages in addressing contemporary healthcare challenges by optimizing processes, improving financial projections, and incorporating advanced technologies efficiently. The successful implementation of Health 4.0 can lead to substantial improvements in service quality, adding value to patients and driving local economic development. This article offers valuable insights for healthcare professionals and managers, emphasizing the transformative potential of Health 4.0 and outlining strategies for its effective implementation. The clustering of articles provides a clearer understanding of current research in Health 4.0, contributing significantly to the field and guiding future research directions.

Enhancing nursing home quality through electronic health record implementation.

Background: The quality of care in nursing homes (NHs) in the United States has long been a matter of policy concern. Although electronic health records (EHRs) are argued to improve quality, implementation has lagged due to various factors such as financial constraints and limited research on their impact on NH quality. Objective: This study examined the relationship between EHR implementation and NH quality using Donabedian's structure-process-outcome model. Method: Data on EHR implementation were collected via a 2018 survey of all Federally certified Arkansas NHs (n = 223). Of the 63 responding NHs, 48 reported EHR implementation. Survey data were merged with secondary sources such as Certification and Survey Provider Enhanced Reporting. A total of 744 NH-years for the period 2008-2020 were included in the final sample. A pre-post negative binomial panel data regression was used to examine the relationship between EHR implementation (dichotomous variable) and NH deficiencies (dependent count variable) with facility/community-level control variables. Results were reported as incidence rate ratios (IRR). Results: NHs that had implemented EHR experienced an 18% reduction in the rate of deficiencies compared to those without EHR systems (IRR = 0.82, 95% CI [0.70, 0.99], p = 0.035). Conclusion: EHR implementation had a favourable impact on NH quality. Implications: Past research suggests that higher NH quality may be associated with improved financial performance. Therefore, EHR implementation has the potential to address two critical challenges: enhancing care quality and improving financial outcomes. However, government financial incentives may be necessary to address the high-cost of implementing EHR systems.

Primary care quality and provider disparities in China: a standardized-patient-based study

BackgroundPrimary health care is the foundation of high-performing health systems. Achieving an improved primary care system requires a thorough understanding of the current quality of care among various providers within the system. As the world’s largest developing country, China has made significant investments in primary care over the past decade. This study evaluates the quality of primary care across different provider types in China, offering in- sights for enhancing China’s primary care system. MethodsWe merged data from four standardized patient (SP) research projects to compare the quality of five major primary care providers in China: rural clinics, county hospitals, migrant clinics, urban community health cen- ters (CHCs), and online platforms. We evaluated quality of care across process quality (e.g., checklist completion), diagnosis quality (e.g., diagnostic accuracy), and case management (e.g., correct medication), employing multiple regression analyses to explore quality differences by provider type, and their associations with physician characteristics. FindingsWe document a poor quality of primary care in China, with no- table disparities across different providers. CHCs emerge as relatively reliable primary care providers in terms of process quality, diagnostic accuracy, and cor- rect medication prescriptions. Online platforms outpace rural clinics, county hospitals, and migrant clinics in many areas, showcasing their potential to en- hance access to quality healthcare resources in under-resourced rural regions. We observe a positive association between the qualifications of physicians and the quality of primary care, underscoring the necessity for a greater presence of more highly qualified practitioners. InterpretationPrimary care quality in China varies greatly among providers, reflecting inequalities in healthcare access. While online platforms indicate po- tential for improving care in under-resourced areas, their high referral rates suggest they cannot completely substitute traditional care. The findings em- phasize the need for more qualified practitioners and stringent regulation to enhance care quality and reduce unnecessary treatments. FundingNo founders had a role in the study design, data collection, data analysis, data interpretation, or writing of the report. We have acknowledged this in the revised manuscript.

“Elderly care through new eyes: Insights from Spain's future nurses” A phenomenological study

This study explores nursing students' perceptions of institutionalized elderly care, aiming to identify attitudes and biases that influence their academic and professional development in gerontological nursing. Conducted with 128 students across two campuses, this qualitative study utilized 15 focus groups for data collection. Five primary themes emerged through thematic and inductive analysis: Institutionalized Living, Stereotypes, Improvement Proposals, Exemplary Practices and Positive Observations and Educational Strategies and Person-centered Care Integration. Findings underscore the multifaceted nature of elderly long-term care settings, highlighting the prevalence of loneliness. Despite institutionalization's intent to mitigate loneliness, results suggest its effectiveness is variable, with a deficiency in social interaction opportunities. This underscores the imperative for comprehensive socialization programs. Additionally, integrating students into professional teams has been shown to foster positive interpersonal relationships significantly. Recommendations for enhancing care quality include personalizing living spaces, strengthening bonds between staff and residents, and enriching the nursing curriculum with advanced professional training.

Development and Validation of a Malay Version Questionnaire to Evaluate Remote Health Monitoring of COVID-19 via Telehealth Applications: Navigating Telehealth Evolution.

Introduction The rapid adoption of telehealth services due to the COVID-19 pandemic has highlighted the necessity for effective tools to evaluate patient experiences. This study developed and validated the Telehealth Usability, Acceptability, and Satisfaction Questionnaire (TUASQ) for virtual COVID-19 Assessment Centres (CACs) in Malaysia, aiming to comprehensively measure usability, acceptability, and satisfaction. Methodology The TUASQ was developed in two phases. Initially, the questionnaire development phase included item generation guided by the Technology Acceptance Model (TAM) and the Health Belief Model (HBM), with feedback from a panel of six experts. Items were refined through Content Validity Index (CVI) - Item-Level Content Validity Index (I-CVI) ≥ 0.82, Scale-Level Content Validity Index (S-CVI) ≥ 0.82, and Content Validity Ratio (CVR ≥ 0.78); and Face Validity Index (FVI) by 10 respondents - Item-Level Face Validity Index (I-FVI) ≥ 0.82and Scale-Level Face Validity Index (S-FVI ≥ 0.82). The psychometric validation phase involved a cross-sectional study of 705 respondents, recruited through convenience sampling from March to July 2024, to perform Exploratory Factor Analysis (EFA) and Confirmatory Factor Analysis (CFA), followed by reliability testing using Cronbach's alpha, Composite Reliability (CR), and Average Variance Extracted (AVE). Results Content validation showed that most items' I-CVI exceeded 0.82, indicating significant expert consensus on relevance and clarity. The CVR also surpassed the 0.78 threshold, affirming their essential role. Face validation indices generally exceeded 0.80, confirming the questionnaire's clarity and comprehensiveness from the users' perspective. EFA with 250 participants indicated a high Kaiser-Meyer-Olkin Measure of Sampling Adequacy (KMO) of 0.933 and significant Bartlett's test (χ² (136) = 3752.698, p < 0.001), supporting the factorability of the data and extracting three distinct factors. CFA with 455 participants initially showed a poor fit, prompting model adjustments that subsequently improved the fit indices (Root Mean Square Error of Approximation (RMSEA) = 0.076, Standardized Root Mean Square Residual (SRMR) = 0.045, Goodness of Fit Index (GFI) = 0.94, Tucker-Lewis Index (TLI) = 0.96, Comparative Fit Index (CFI) = 0.97). Reliability testing revealed a high internal consistency with Cronbach's alpha of 0.975. CR for each factor exceeded the 0.70 threshold, and the AVE for each factor was above 0.50, indicating good convergent validity. Conclusion The validated TUASQ is a reliable and effective instrument for assessing the experiences of Malaysian patients using virtual CAC. Demonstrating robust psychometric properties through comprehensive validation processes, the TUASQ accurately measures usability, acceptability, and satisfaction, identifying strengths and areas for improvement in telehealth services. This contributes to enhanced care quality and patient satisfaction in the evolving healthcare landscape.

Scientific production about the influence of health literacy during the gestational period

Introduction: Health literacy is crucial for pregnant women's ability to access, understand, and use health information. Objeivo: to assess its impact on the quality of care during pregnancy. Method: An integrative review was conducted using LILACS, MEDLINE, and BDENF databases. Results: highlighted the influence of inadequate health literacy on prenatal care and interventions promoting health literacy during pregnancy. Conclusion: Healthcare professionals must recognize and address health literacy challenges in pregnant women to enhance care quality. Strategies focusing on health literacy promotion can empower individuals, promote awareness, and improve healthcare outcomes during pregnancy.

Self-Compassion and its Relationship with Patient Care Practices among Nurses

Background: The healthcare industry continuously explores factors that contribute to the effective delivery of patient-centered care amidst global concerns about healthcare worker shortages and maintaining a healthy workforce. Self-compassion has been recognized as a significant factor that enhances empathy, reduces professional burnout, and improves the quality of life in healthcare settings. Objective: This study aims to examine the influence of self-compassion on patient care practices among nurses, considering demographic variables such as age, marital status, and work experience to identify actionable factors that enhance care quality. Methods: A cross-sectional correlational survey was employed, involving 403 female nurses from various hospitals in Islamabad and Faisalabad, aged between 20 and 55 years. The Self-Compassion Scale (Urdu version) and the Caring Behaviors Inventory-24 (Urdu version) were used to measure self-compassion and patient care practices, respectively. Demographic data were collected through a structured questionnaire. Statistical analysis included regression, t-tests, and ANOVA, conducted using SPSS version 25.0, to assess relationships and group differences based on the collected data. Results: Self-compassion explained 23% of the variance in patient care practices (F = 119.09, p &lt; .01). Nurses with more than 10 years of experience demonstrated better patient care practices compared to those with less experience. Unmarried nurses showed higher levels of self-compassion and better patient care practices compared to their married counterparts. Conclusion: The findings underscore the positive relationship between self-compassion and patient care practices, suggesting that enhancing self-compassion among nurses can lead to improved healthcare delivery. Promoting self-compassion training and practices in healthcare settings could enhance professional development, increase resilience, and subsequently improve patient outcomes.

AI-assisted clinical summary and treatment planning for cancer care: A comparative study of human vs. AI-based approaches.

1523 Background: Understanding a patient's clinical narrative, timeline, and history is critical for accurate treatment decision-making. However, reviewing and summarizing complex records is time-consuming and error-prone. Recent advancements in artificial intelligence (AI), specifically large language models (LLM), offer paths to improve quality and efficiency. Methods: A study was conducted on 50 breast cancer cases from an academic medical institution, utilizing all medical records—clinic, pathology, and radiology reports—up until the point of the initial treatment decision. All cases were processed using three different approaches: AI-assisted; full-AI; and human-only. In the AI-assisted method, two oncology physician assistants (PAs) revised AI-generated summaries to create clinical summaries. The full-AI method had AI independently produce clinical summaries, while the human-only method had the PAs compile summaries without AI. Eight board-certified international oncology specialists blindly evaluated summaries for faithfulness, completeness, and succinctness using a 3-point scale, ranked their preferences, and tried to predict which summaries were full-AI. Rankings were assessed using a Friedman test followed by a Wilcoxon signed-rank test, and full-AI prediction was assessed using a two-sided one-sample binomial test. After summarization, a distinct AI system with access to clinical guidelines provided treatment plans. These plans were then evaluated by a board-certified oncologist with access to the original treatment decision. Results: The study found specialists favored AI-assisted, followed by full-AI, and then human-only summaries, with average ranks of 1.73, 1.93, 2.34 respectively (lower is better, p&lt;0.001). The difference between full-AI and AI-assisted was not significant (p=0.11). Evaluation scores (mean±95%CI, higher is better) showed AI-assisted, full-AI, and human-only scored 2.35±0.13, 2.14±0.14, 2.17±0.14 for faithfulness; 2.28±0.12, 2.01±0.12, 1.93±0.14 for completeness; and 2.33±0.12, 2.21±0.12, 1.99±0.13 for succinctness. The average summarization time was 19.71, 1.17, 26.03 minutes. Full-AI identification accuracy was 0.28 (not different from chance 0.33, p=0.46). With AI-assisted summaries, the treatment plans were accurate in 45 cases (90%) and partially accurate in 5 cases (10%). In the 5 partially accurate cases, the system was accurate with the provided input data, but there were inaccuracies with the input data, including incorrect formats or missing data. Conclusions: Incorporating LLMs into the creation of medical summaries has shown improvements in both quality and efficiency, achieving up to 22.2x speed up with full-AI, indicating that AI-assisted summarization tools can potentially enhance care quality. AI-assisted summaries yield accurate treatment plans when the input data is accurate.

Enhancing quality of care in long-term care facilities

Enhancing quality of care in long-term care facilities