Quality and resilience of clinical laboratories in Rwanda: a need for sustainable strategies.

BACKGROUND: Quality healthcare is a global priority, reliant on robust health systems for evidence-based medicine. Clinical laboratories are the backbone of quality healthcare facilitating diagnostics, treatment, patient monitoring, and disease surveillance. Their effectiveness depends on sustainable delivery of accurate test results. Although the Strengthening Laboratory Management Towards Accreditation (SLMTA) programme has enhanced laboratory quality in low-income countries, the long-term sustainability of this improvement remains uncertain. OBJECTIVE: To explore the sustainability of quality performance in clinical laboratories in Rwanda following the conclusion of SLMTA. METHODS: A quasi-experimental design was adopted, involving 47 laboratories divided into three groups with distinct interventions. While one group received continuous mentorship and annual assessments (group two), interventions for the other groups (groups one and three) ceased following the conclusion of SLMTA. SLMTA experts collected data for 10 years through assessments using WHO's StepwiseLaboratory Quality Improvement Process Towards Accreditation (SLIPTA) checklist. Descriptive and t-test analyses were conducted for statistical evaluation. RESULTS: Improvements in quality were noted between baseline and exit assessments across all laboratory groups (mean baseline: 35.3%, exit: 65.8%, p < 0.001). However, groups one and three experienced performance declines following SLMTA phase-out (mean group one: 64.6% in reference to 85.8%, p = 0.01; mean group three: 57.3% in reference to 64.7%, p < 0.001). In contrast, group two continued to enhance performance even years later (mean: 86.6%compared to 70.6%, p = 0.03). CONCLUSION: A coordinated implementation of quality improvement plan that enables regular laboratory assessments to pinpoint and address the quality gaps is essential for sustaining quality services in clinical laboratories.

Main findings: We found that continuous laboratory quality improvement was achieved by laboratories that kept up with regular follow-ups, as opposed to those which phased out these followups prematurely.Added knowledge: This study has affirmed the necessity of maintaining mentorship and conducting regular quality assessments until requisite quality routines are established to sustain laboratory quality services.Global health impact for policy and action: These findings emphasise the significance of instituting a laboratory quality plan, with regular assessments, as policy directives to uphold and enhance quality standards, which benefits both local and global communities, given the pivotal role of laboratories in patient treatment, disease prevention, and surveillance.

Intrapartum Quality of Care among Healthy Women: A Population-Based Cohort Study in an Italian Region.

Although the quality of care during childbirth is a maternity service's goal, less is known about the impact of the birth setting dimension on provision of care, defined as evidence-based intrapartum midwifery practices. This study's aim was to investigate the impact of hospital birth volume (≥1000 vs. <1000 births/year) on intrapartum midwifery care and perinatal outcomes. We conducted a population-based cohort study on healthy pregnant women who gave birth between 2018 and 2022 in Lombardy, Italy. A total of 145,224 (41.14%) women were selected from nationally linked databases. To achieve the primary aim, log-binomial regression models were constructed. More than 70% of healthy pregnant women gave birth in hospitals (≥1000 births/year) where there was lower use of nonpharmacological coping strategies, higher likelihood of epidural analgesia, episiotomy, birth companion's presence at birth, skin-to-skin contact, and first breastfeeding within 1 h (p-value < 0.001). Midwives attended almost all the births regardless of birth volume (98.80%), while gynecologists and pediatricians were more frequently present in smaller hospitals. There were no significant differences in perinatal outcomes. Our findings highlighted the impact of the birth setting dimension on the provision of care to healthy pregnant women.

AI Quality Standards in Health Care: Rapid Umbrella Review.

BACKGROUND: In recent years, there has been an upwelling of artificial intelligence (AI) studies in the health care literature. During this period, there has been an increasing number of proposed standards to evaluate the quality of health care AI studies. OBJECTIVE: This rapid umbrella review examines the use of AI quality standards in a sample of health care AI systematic review articles published over a 36-month period. METHODS: We used a modified version of the Joanna Briggs Institute umbrella review method. Our rapid approach was informed by the practical guide by Tricco and colleagues for conducting rapid reviews. Our search was focused on the MEDLINE database supplemented with Google Scholar. The inclusion criteria were English-language systematic reviews regardless of review type, with mention of AI and health in the abstract, published during a 36-month period. For the synthesis, we summarized the AI quality standards used and issues noted in these reviews drawing on a set of published health care AI standards, harmonized the terms used, and offered guidance to improve the quality of future health care AI studies. RESULTS: We selected 33 review articles published between 2020 and 2022 in our synthesis. The reviews covered a wide range of objectives, topics, settings, designs, and results. Over 60 AI approaches across different domains were identified with varying levels of detail spanning different AI life cycle stages, making comparisons difficult. Health care AI quality standards were applied in only 39% (13/33) of the reviews and in 14% (25/178) of the original studies from the reviews examined, mostly to appraise their methodological or reporting quality. Only a handful mentioned the transparency, explainability, trustworthiness, ethics, and privacy aspects. A total of 23 AI quality standard-related issues were identified in the reviews. There was a recognized need to standardize the planning, conduct, and reporting of health care AI studies and address their broader societal, ethical, and regulatory implications. CONCLUSIONS: Despite the growing number of AI standards to assess the quality of health care AI studies, they are seldom applied in practice. With increasing desire to adopt AI in different health topics, domains, and settings, practitioners and researchers must stay abreast of and adapt to the evolving landscape of health care AI quality standards and apply these standards to improve the quality of their AI studies.

Quality of health care for patients with coronary heart disease and comorbid mental disorders: a prospective cohort study.

BACKGROUND: Coronary heart disease (CHD) is often associated with mental disorders (MDs). Comorbid MDs reduce the quality of life and increase cardiac morbidity and mortality. Nevertheless, there is little and inconsistent research on the management of MDs in CHD patients. To bridge this gap, this study aims to gain insight into the long-term course of MD-related health care for patients with CHD, in order to identify opportunities for care improvement. METHODS: In this prospective cohort study, we investigated whether CHD patients with or without expert-rated MD at baseline (N = 364) received different MD-related health care from either their general practitioner (GP) or cardiologist at follow-up, M = 2.7 [2.0-4.0] years later. In the follow-up assessment, N = 131 CHD patients participated and received questionnaires capturing sociodemographic, mental health, and MD-related health care characteristics. Descriptive statistics, t-tests and chi-squared tests were used for analyses. RESULTS: We found significant differences in MD-related health care. CHD patients with MD were more likely to be examined psychologically/psychiatrically (MD 55.9%, non-MD 16.7%, p = < .001) and diagnosed with MD (MD 55.9%, non-MD 13.5%, p = .020) by their GP or cardiologist. Recommendations for and responses to requests for psychotherapy were more likely in MD patients compared to non-MD patients (MD 38.7%, non-MD 11.8%, p = .012 and MD 38.5%, non-MD 11.8%, p = .031, respectively). No significant differences were found concerning physicians' active demand for patients' mental health, referral to a specialist for additional diagnostics, provision of information about the diagnosed MD and further treatment options, response to the patients' request for psychopharmacotherapy, help received in finding psychotherapy or psychopharmacotherapy, and actual receipt of these treatments. CONCLUSIONS: The results indicate differences in MD-related health care of CHD patients with and without comorbid MD. However, they still highlight the need to further encourage primary care physicians treating CHD to adequately address MDs, provide further diagnostics, support, and information to affected patients. To address this, physicians may benefit from awareness training on the association between CHD and MDs and on appropriate communication with MD patients. TRIAL REGISTRATION: German clinical trials register (Deutsches Register Klinischer Studien, DRKS) Registration Number: ID DRKS00022154, date of registration: 02.11.2021.

The first decade of the Danish Palliative Care Database: improvements and ongoing challenges in the quality and use of specialised palliative care.

BACKGROUND: Danish Palliative Care Database comprises five quality indicators: (1) Contact with specialised palliative care (SPC) among referred patients, (2) Waiting time of less than 10 days, (3) Proportion of patients who died from (A) cancer or (B) non-cancer diseases, and had contact with SPC, (4) Proportion of patients completing the patient-reported outcome measure at baseline (EORTC QLQ-C15-PAL), and (5) Proportion of patients discussed at a multidisciplinary conference. PURPOSE: To investigate changes in the quality indicators from 2010 until 2020 in cancer and non-cancer patients. Patients/material: Patients aged 18+ years who died from 2010 until 2020. METHOD: Register-based study with the Danish Palliative Care Database as the main data source. Indicator changes were reported as percentage fulfilment. RESULTS: From 2010 until 2020, the proportion of patients with non-cancer diseases in SPC increased slightly (2.5-7.2%). In 2019, fulfilment of the five indicators for cancer and non-cancer were: (1) 81% vs. 73%; (2) 73% vs. 68%; (3A) 50%; (3B) 2%; (4) 73% vs. 66%; (5) 73% vs. 65%. Whereas all other indicators improved, the proportion of patients waiting less than 10 days from referral to contact decreased. Differences between type of unit were found, mainly lower for hospice. INTERPRETATION: Most patients in SPC had cancer. All indicators except waiting time improved during the 10-year period. The establishment of the Danish Palliative Care Database may have contributed to the positive development; however, SPC in Denmark needs to be improved, especially regarding a reduction in waiting time and enhanced contact for non-cancer patients.

Delegating care as a double-edged sword for quality of nursing care: a qualitative study.

BACKGROUND: Considering the significance of care delegation in enhancing the quality of nursing care and ensuring patient safety, it is imperative to explore nurses' experiences in this domain. As such, this study aimed to explore the experiences of Iranian nurses regarding the delegation of care. METHODS: This qualitative study was conducted between 2022 and 2023, employing the content analysis method with a conventional approach. The study utilized purposeful sampling method to select qualified participants. Data collection was carried out through in-depth and semi-structured interviews utilizing open-ended questions. The data analysis process followed the steps proposed by Graneheim and Lundman (2004) and involved the use of MAXQDA version 12 software. To ensure the trustworthiness of the data, the study employed the four rigor indices outlined by Lincoln and Guba (1985). RESULTS: In the present study, a total of 15 interviews were conducted with 12 participants, the majority of whom were women. The age range of the participants fell between 25 and 40 years. Through qualitative data analysis, eight subcategories and three main categories of "insourcing of care", "outsourcing of care" and "delegating of care to non-professionals" were identified. Additionally, the overarching theme that emerged from the analysis was "delegation of care, a double-edged sword". CONCLUSIONS: The results of the study revealed that the delegation of care occurred through three distinct avenues: to colleagues within the same unit, to colleagues in other units, and to non-professionals. Delegating care was found to have potential benefits, such as reducing the nursing workload and fostering teamwork. However, it was also observed that in certain instances, delegation was not only unhelpful but also led to missed nursing care. Therefore, it is crucial to adhere to standardized principles when delegating care to ensure the maintenance of high-quality nursing care.

Executive summary: Quality standards of care units for people with sexual and gender diversity.

Comprehensive biopsychosocial care for people with gender incongruence (ICD 11) who are transgender (trans) or gender diverse is a complex process in which the quality of the medical transition can only be guaranteed after a multidisciplinary approach, through teams that integrate professionals with training and experience not only in medicine but also in diversity and gender identity. Based on this, the Gonad, Identity and Sexual Differentiation working group of the Spanish Society of Endocrinology and Nutrition (GT-GIDSEEN) has established minimum care requirements that aim to guarantee adequate health care for these people by professionals. A position paper has been produced and is available at https://www.seen.es/portal/documentos/estandares-calidad-gidseen-2024.

Examining the quality of care across the continuum of maternal care (antenatal, perinatal and postnatal care) under the expanded free maternity policy (Linda Mama Policy) in Kenya: a mixed-methods study.

BACKGROUND: Kenya still faces the challenge of mothers and neonates dying from preventable pregnancy-related complications. The free maternity policy (FMP), implemented in 2013 and expanded in 2017 (Linda Mama Policy (LMP)), sought to address this challenge. This study examines the quality of care (QoC) across the continuum of maternal care under the LMP in Kenya. METHODS: We conducted a convergent parallel mixed-methods study across multiple levels of the Kenyan health system, involving key informant interviews with national stakeholders (n=15), in-depth interviews with county officials and healthcare workers (HCWs) (n=21), exit interview survey with mothers (n=553) who utilised the LMP delivery services, and focus group discussions (n=9) with mothers who returned for postnatal visits (at 6, 10 and 14 weeks). Quantitative data were analysed descriptively, while qualitative data were analysed thematically. All the data were triangulated at the analysis and discussion stage using a framework approach guided by the QoC for maternal and newborns. RESULTS: The results showed that the expanded FMP enhanced maternal care access: geographical, financial and service utilisation. However, the facilities and HCWs bore the brunt of the increased workload and burnout. There was a longer waiting time for the initial visit by the pregnant women because of the enhanced antenatal care package of the LMP. The availability and standards of equipment, supplies and infrastructure still posed challenges. Nurses were multitasking and motivated despite the human resources challenge. Mothers were happy to have received care information; however, there were challenges regarding respect and dignity they received (inadequate food, over-crowding, bed-sharing and lack of privacy), and they experienced physical, verbal and emotional abuse and a lack of attention/care. CONCLUSIONS: Addressing the negative aspects of QoC while strengthening the positives is necessary to achieve the Universal Health Coverage goals through better quality service for every woman.

Factors influencing optimal diabetes care and clinical outcomes in Thai patients with type 2 diabetes mellitus: a multilevel modelling analysis.

BACKGROUND: Increasing levels of poor glycaemic control among Thai patients with type 2 diabetes mellitus (T2DM) motivated us to compare T2DM care between urban and suburban primary care units (PCUs), to identify gaps in care, and to identify significant factors that may influence strategies to enhance the quality of care and clinical outcomes in this population. METHODS: We conducted a cross-sectional study involving 2160 patients with T2DM treated at four Thai PCUs from 2019 to 2021, comprising one urban and three suburban facilities. Using mixed effects logistic regression, we compared care factors between urban and suburban PCUs. RESULTS: Patients attending suburban PCUs were significantly more likely to undergo eye (adjusted OR (AOR): 1.83, 95% CI 1.35 to 1.72), foot (AOR: 1.61, 95% CI 0.65 to 4.59) and HbA1c (AOR: 1.66, 95% CI 1.09 to 2.30) exams and achieved all ABC (HbA1c, blood pressure (BP) and low-density lipoprotein cholesterol (LDL-C)) goals (AOR: 2.23, 95% CI 1.30 to 3.83). Conversely, those at an urban PCU were more likely to undergo albuminuria exams. Variables significantly associated with good glycaemic control included age (AOR: 1.51, 95% CI 1.31 to 1.79), T2DM duration (AOR: 0.59, 95% CI 0.41 to 0.88), FAACE (foot, HbA1c, albuminuria, LDL-C and eye) goals (AOR: 1.23, 95% CI 1.12 to 1.36) and All8Q (AOR: 1.20, 95% CI 1.05 to 1.41). Chronic kidney disease (CKD) was significantly linked with high triglyceride and HbA1c levels (AOR: 5.23, 95% CI 1.21 to 7.61). Elevated HbA1c levels, longer T2DM duration, insulin use, high systolic BP and high lipid profile levels correlated strongly with diabetic retinopathy (DR) and CKD progression. CONCLUSION: This highlights the necessity for targeted interventions to bridge urban-suburban care gaps, optimise drug prescriptions and implement comprehensive care strategies for improved glycaemic control, DR prevention and CKD progression mitigation among in Thai patients with T2DM. The value of the clinical target aggregate (ABC) and the process of care aggregate (FAACE) was also conclusively demonstrated.

Exploring the impact of compassion and leadership on patient safety and quality in healthcare systems: a narrative review.

BACKGROUND: Patient safety and healthcare quality are considered integral parts of the healthcare system that are driven by a dynamic combination of human and non-human factors. This review article provides an insight into the two major human factors that impact patient safety and quality including compassion and leadership. It also discusses how compassion is different from empathy and explores the impact of both compassion and leadership on patient safety and healthcare quality. In addition, this review also provides strategies for the improvement of patient safety and healthcare quality through compassion and effective leadership. METHODS: This narrative review explores the existing literature on compassion and leadership and their combined impact on patient safety and healthcare quality. The literature for this purpose was gathered from published research articles, reports, recommendations and guidelines. RESULTS: The findings from the literature suggest that both compassion and transformational leadership can create a positive culture where healthcare professionals (HCPs) prioritise patient safety and quality. Leaders who exhibit compassion are more likely to inspire their teams to deliver patient-centred care and focus on error prevention. CONCLUSION: Compassion can become an antidote for the burnout of HCPs. Compassion is a behaviour that is not only inherited but can also be learnt. Both compassionate care and transformational leadership improve organisational culture, patient experience, patient engagement, outcomes and overall healthcare excellence. We propose that transformational leadership that reinforces compassion remarkably improves patient safety, patient engagement and quality.

Influence of external assessment on quality and safety in surgery: a qualitative study of surgeons' perspectives.

INTRODUCTION: Transparency about the occurrence of adverse events has been a decades-long governmental priority, defining external feedback to healthcare providers as a key measure to improve the services and reduce the number of adverse events. This study aimed to explore surgeons' experiences of assessment by external bodies, with a focus on its impact on transparency, reporting and learning from serious adverse events. External bodies were defined as external inspection, police internal investigation, systems of patient injury compensation and media. METHODS: Based on a qualitative study design, 15 surgeons were recruited from four Norwegian university hospitals and examined with individual semi-structured interviews. Data were analysed by deductive content analysis. RESULTS: Four overarching themes were identified, related to influence of external inspection, police investigation, patient injury compensation and media publicity, (re)presented by three categories: (1) sense of criminalisation and reinforcement of guilt, being treated as suspects, (2) lack of knowledge and competence among external bodies causing and reinforcing a sense of clashing cultures between the 'medical and the outside world' with minor influence on quality improvement and (3) involving external bodies could stimulate awareness about internal issues of quality and safety, depending on relevant competence, knowledge and communication skills. CONCLUSIONS AND IMPLICATIONS: This study found that external assessment might generate criminalisation and scapegoating, reinforcing the sense of having medical perspectives on one hand and external regulatory perspectives on the other, which might hinder efforts to improve quality and safety. External bodies could, however, inspire useful adjustment of internal routines and procedures. The study implies that the variety and interconnections between external bodies may expose the surgeons to challenging pressure. Further studies are required to investigate these challenges to quality and safety in surgery.

The role of perceived quality of care on outpatient visits to health centers in two rural districts of northeast Ethiopia: a community-based, cross-sectional study.

BACKGROUND: Patients who have had a negative experience with the health care delivery bypass primary healthcare facilities and instead seek care in hospitals. There is a dearth of evidence on the role of users' perceptions of the quality of care on outpatient visits to primary care facilities. This study aimed to examine the relationship between perceived quality of care and the number of outpatient visits to nearby health centers. METHODS: A community-based cross-sectional study was conducted in two rural districts of northeast Ethiopia among 1081 randomly selected rural households that had visited the outpatient units of a nearby health center at least once in the previous 12 months. Data were collected using an interviewer-administered questionnaire via an electronic data collection platform. A multivariable analysis was performed using zero-truncated negative binomial regression model to determine the association between variables. The degree of association was assessed using the incidence rate ratio, and statistical significance was determined at a 95% confidence interval. RESULTS: A typical household makes roughly four outpatient visits to a nearby health center, with an annual per capita visit of 0.99. The mean perceived quality of care was 6.28 on a scale of 0-10 (SD = 1.05). The multivariable analysis revealed that perceived quality of care is strongly associated with the number of outpatient visits (IRR = 1.257; 95% CI: 1.094 to 1.374). In particular, a significant association was found for the dimensions of provider communication (IRR = 1.052; 95% CI: 1.012, 1.095), information provision (IRR = 1.088; 95% CI: 1.058, 1.120), and access to care (IRR = 1.058, 95% CI: 1.026, 1.091). CONCLUSIONS: Service users' perceptions of the quality of care promote outpatient visits to primary healthcare facilities. Effective provider communication, information provision, and access to care quality dimensions are especially important in this regard. Concerted efforts are required to improve the quality of care that relies on service users' perceptions, with a special emphasis on improving health care providers' communication skills and removing facility-level access barriers.

Implications of Large Language Models for Quality and Efficiency of Neurologic Care: Emerging Issues in Neurology.

Large language models (LLMs) are advanced artificial intelligence (AI) systems that excel in recognizing and generating human-like language, possibly serving as valuable tools for neurology-related information tasks. Although LLMs have shown remarkable potential in various areas, their performance in the dynamic environment of daily clinical practice remains uncertain. This article outlines multiple limitations and challenges of using LLMs in clinical settings that need to be addressed, including limited clinical reasoning, variable reliability and accuracy, reproducibility bias, self-serving bias, sponsorship bias, and potential for exacerbating health care disparities. These challenges are further compounded by practical business considerations and infrastructure requirements, including associated costs. To overcome these hurdles and harness the potential of LLMs effectively, this article includes considerations for health care organizations, researchers, and neurologists contemplating the use of LLMs in clinical practice. It is essential for health care organizations to cultivate a culture that welcomes AI solutions and aligns them seamlessly with health care operations. Clear objectives and business plans should guide the selection of AI solutions, ensuring they meet organizational needs and budget considerations. Engaging both clinical and nonclinical stakeholders can help secure necessary resources, foster trust, and ensure the long-term sustainability of AI implementations. Testing, validation, training, and ongoing monitoring are pivotal for successful integration. For neurologists, safeguarding patient data privacy is paramount. Seeking guidance from institutional information technology resources for informed, compliant decisions, and remaining vigilant against biases in LLM outputs are essential practices in responsible and unbiased utilization of AI tools. In research, obtaining institutional review board approval is crucial when dealing with patient data, even if deidentified, to ensure ethical use. Compliance with established guidelines like SPIRIT-AI, MI-CLAIM, and CONSORT-AI is necessary to maintain consistency and mitigate biases in AI research. In summary, the integration of LLMs into clinical neurology offers immense promise while presenting formidable challenges. Awareness of these considerations is vital for harnessing the potential of AI in neurologic care effectively and enhancing patient care quality and safety. The article serves as a guide for health care organizations, researchers, and neurologists navigating this transformative landscape.

Public Beliefs About Accessibility and Quality of Emergency Departments in Germany.

Background: It is well established that emergency department (ED) crowding leads to worse health outcomes. Although various patient surveys provide information about reasons to visit EDs, less is known in terms of beliefs about EDs among the general population. This study examines public beliefs regarding accessibility and quality of EDs and their associations with social characteristics (gender, age, education, immigration background) as well as knowledge about emergency care services and health literacy. Methods: We conducted a cross-sectional study based on a random sample of 2,404 adults living in Hamburg, Germany, in winter 2021/2022. We developed eight statements regarding accessibility and quality of EDs leading to two scales (Cronbach's α accessibility = 0.76 and quality of care = 0.75). Descriptive statistics of the eight items are shown and linear regression were conducted to determine associations of the two scales with social characteristics as well as knowledge about emergency care services and health literacy (HLS-EU-Q6). Results: Nearly 44% of the respondents agreed that "you can always go to an ED, if you do not get a short-term appointment with a general practitioner or specialist." And 38% agreed with the statement, "If you do not have the time during normal practice hours due to your work, you can always go to an ED." In terms of quality, 38% believed that doctors in EDs are more competent than doctors in general practice, and 25% believed that doctors in EDs are more competent than doctors in specialized practices. In the fully adjusted model, public beliefs about emergency care accessibility and quality of EDs were significantly associated with all social characteristics and knowledge of emergency care options with the strongest associations between knowledge and accessibility (ß = -0.17; P < 0.001) and between education and quality (ß = -0.23; P < 0.001). Conclusion: We found endorsement of public beliefs about accessibility and quality of EDs that can lead to inappropriate utilization. Our results also suggest that knowledge of different emergency services plays an important role. Therefore, after system-related reorganizations of emergency care, information campaigns about such services tailored to socially deprived populations may help alleviate the issue of crowding.

Does higher performance in a national licensing examination predict better quality of care? A longitudinal observational study of Ethiopian anesthetists.

BACKGROUND: Ethiopia made a national licensing examination (NLE) for associate clinician anesthetists a requirement for entry into the practice workforce. However, there is limited empirical evidence on whether the NLE scores of associate clinicians predict the quality of health care they provide in low-income countries. This study aimed to assess the association between anesthetists' NLE scores and three selected quality of patient care indicators. METHODS: A multicenter longitudinal observational study was conducted between January 8 and February 7, 2023, to collect quality of care (QoC) data on surgical patients attended by anesthetists (n = 56) who had taken the Ethiopian anesthetist NLE since 2019. The three QoC indicators were standards for safe anesthesia practice, critical incidents, and patient satisfaction. The medical records of 991 patients were reviewed to determine the standards for safe anesthesia practice and critical incidents. A total of 400 patients responded to the patient satisfaction survey. Multivariable regressions were employed to determine whether the anesthetist NLE score predicted QoC indicators. RESULTS: The mean percentage of safe anesthesia practice standards met was 69.14%, and the mean satisfaction score was 85.22%. There were 1,120 critical incidents among 911 patients, with three out of five experiencing at least one. After controlling for patient, anesthetist, facility, and clinical care-related confounding variables, the NLE score predicted the occurrence of critical incidents. For every 1% point increase in the total NLE score, the odds of developing one or more critical incidents decreased by 18% (aOR = 0.82; 95% CI = 0.70 = 0.96; p = 0.016). No statistically significant associations existed between the other two QoC indicators and NLE scores. CONCLUSION: The NLE score had an inverse relationship with the occurrence of critical incidents, supporting the validity of the examination in assessing graduates' ability to provide safe and effective care. The lack of an association with the other two QoC indicators requires further investigation. Our findings may help improve education quality and the impact of NLEs in Ethiopia and beyond.

Challenges to the implementation of a multi-level intervention to reduce mistreatment of women during childbirth in Iran: a qualitative study using the Consolidated Framework for Implementation Research.

BACKGROUND: Mistreatment during childbirth is a growing concern worldwide, especially in developing countries, such as Iran. In response, we launched a comprehensive implementation research (IR) project to reduce mistreatment during childbirth and enhance positive birth experiences in birth facilities. This study identified the challenges of implementing a multi-level intervention to reduce mistreatment of women during childbirth using the Consolidated Framework for Implementation Research (CFIR). METHODS: An exploratory qualitative study, involving 30 in-depth interviews, was conducted between July 2022 and February 2023. Participants included a purposive sample of key stakeholders at different levels of the health system (macro: Ministry of Health and Medical Education; meso: universities of medical sciences and health services; and micro: hospitals) with sufficient knowledge, direct experience, and/or collaboration in the implementation of the studied interventions. Interviews were transcribed verbatim and coded using directed qualitative content analysis (CFIR constructs) in MAXQDA 18. RESULTS: The identified challenges were: (1) individual level (childbirth preparation classes: e.g., adaptability, design quality and packaging, cosmopolitanism; presence of birth companions: e.g., patient needs and resources, structural characteristics, culture); (2) healthcare provider level (integrating respectful maternity care into in-service training: e.g., relative priority, access to knowledge and information, reflecting and evaluating); (3) hospital level (evaluating the performance of maternity healthcare providers: e.g., executing, external policies and incentives); and (4) national health system level (implementation of pain relief during childbirth guidelines: e.g., networks and communications, patient needs and resources, executing, reflecting and evaluating). CONCLUSIONS: This study provides a clear understanding of the challenges of implementing a multi-level intervention to reduce mistreatment of women during childbirth and highlights potential implications for policy makers and practitioners of maternal health programs. We encourage them to take the lessons learned from this study and revise their current programs and policies regarding the quality of maternity care by focusing on the identified challenges.

Evidence suggests that mistreatment during childbirth is a growing concern worldwide, especially in developing countries, such as Iran. In this qualitative study, through 30 in-depth interviews with key stakeholders at different levels of the health system (macro: Ministry of Health and Medical Education; meso: universities of medical sciences and health services; and micro: hospitals), we identified the challenges of implementing a multi-level intervention to reduce mistreatment of women during childbirth using the Consolidated Framework for Implementation Research (CFIR). The data were analyzed using directed content analysis and a deductive approach in MAXQDA 18 software. The identified challenges were: (1) individual level (childbirth preparation classes: e.g., adaptability; presence of birth companions: e.g., patient needs and resources); (2) healthcare provider level (integrating respectful maternity care into in-service training: e.g., relative priority); (3) hospital level (evaluating the performance of maternity healthcare providers: e.g., executing, external policies and incentives); and (4) national health system level (implementation of pain relief childbirth guidelines: e.g., networks and communications). This study provides a clear understanding of the challenges of implementing a multi-level intervention to reduce mistreatment of women during childbirth; and highlights potential implications for policy makers and practitioners of maternal health programs.

The Eye-Opening Truth About Private Surgical Facilities in Canada.

This paper examines the contentious issue of using contracted surgical facilities (CSFs) for scheduled eye surgeries within Canada's publicly funded healthcare system. Despite the debate over the use of CSFs, there is a stark lack of Canadian-focused empirical evidence to guide policy decisions. This paper uses the Organisation for Economic Co-operation and Development's healthcare system performance conceptual model - access, quality and cost/expenditures - as a framework to explore the debates surrounding CSFs. It highlights the mixed evidence from international studies and proposes recommendations for policy makers to ensure equitable access, maintain high-quality care and achieve cost-effectiveness. The paper underscores the necessity for informed policy making supported by robust empirical research, stakeholder engagement and continuous policy evaluation to address the challenges posed by the integration of CSFs into Canada's healthcare landscape.

Evaluating the Quality of Postpartum Hemorrhage Nursing Care Plans Generated by Artificial Intelligence Models.

BACKGROUND: With the rapidly advancing technological landscape of health care, evaluating the potential use of artificial intelligence (AI) models to prepare nursing care plans is of great importance. PURPOSE: The purpose of this study was to evaluate the quality of nursing care plans created by AI for the management of postpartum hemorrhage (PPH). METHODS: This cross-sectional exploratory study involved creating a scenario for an imaginary patient with PPH. Information was put into 3 AI platforms (GPT-4, LaMDA, Med-PaLM) on consecutive days without prior conversation. Care plans were evaluated using the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) scale. RESULTS: Med-PaLM exhibited superior quality in developing the care plan compared with LaMDA ( Z = 4.354; P = .000) and GPT-4 ( Z = 3.126; P = .029). CONCLUSIONS: Our findings suggest that despite the strong performance of Med-PaLM, AI, in its current state, is unsuitable for use with real patients.