BACKGROUND: Penicillin allergy is the most frequently reported drug allergy, yet most patients can tolerate the drug if challenged. Despite this discrepancy, large scale penicillin allergy de-labeling interventions have not been widely implemented in many health care systems. The application of a multi-method implementation science approach can provide key tools to study this evidence to practice gap and provide insight to successfully operationalize penicillin allergy evaluation in real-world clinical settings.
METHODS: We followed a four-step process that leverages qualitative analysis to design evidence-based, actionable strategies to develop an intervention. First, we specified the clinician-perceived barriers to penicillin allergy de-labeling (intervention targets). We then mapped intervention targets onto Theoretical Domains Framework (domains and constructs) and found the root causes of behavior. Next, we linked root causes of behavior with intervention functions (BCW). In the final step, we synthesized participants\' suggestions for process improvement with implementation strategies aligning with the intervention functions.
RESULTS: Evidence-based strategies such as focused education and training in penicillin allergy evaluation can address knowledge and confidence barriers reported by frontline clinicians. Other key strategies involve developing a system of champions, improving communications systems, and restructuring the healthcare team. Implementation mapping can provide a powerful multi-method framework to study, design, and customize intervention strategies.
CONCLUSIONS: Empowering clinicians beyond allergy specialists to conduct penicillin allergy assessments requires designing new workflows and systems and providing additional knowledge to those clinicians.

BACKGROUND: Inappropriate visits (IVs) and overcrowded emergency departments (EDs) can result in many complications for patients and medical staff. This study aimed to assess the incidence, associated factors, and predictive factors of IVs to ED.
METHODS: This retrospective cohort single-center study was conducted in the ED of King Abdulaziz Medical City, Jeddah, Saudi Arabia. All ED visits in February 2023 were included. They were considered appropriate if the patient required investigation tests, underwent a procedure, was admitted to an inpatient ward, was admitted to the short-stay unit, was referred for follow-up at a specialist outpatient clinic after discharge from the ED, or was referred to the ED of another hospital. Failure to have at least one of these factors led to the visit being considered inappropriate.
RESULTS: A total of 5,429 visits were included. The incidence rate of IVs was 1128 (20.7%). Of the visits, 1,028 (18.9%) were attended by patients aged <10 years, and 2,825 (52.0%) by female patients. The most reported complaints were pulmonological in 1,029 visits (18.9%). Patients with appropriate visits (AVs) had significantly higher median BMI scores than those with IVs (25.9 (20 - 3) vs. 23.7 (16.36 - 29), P = <0.0001). Visits with pulmonological (447 (39.6%) vs. 582 (13.5%)) and otorhinolaryngologic (54 (4.7%) vs. 94 (2.1%)) complaints were significantly more likely to be inappropriate (P = <0.0001). In multiple logistic regression, being a male (OR: 1.3, CI: 1.1 - 1.5, P = <0.0001), being non-Saudi (OR: 2.7, CI: 2.0 - 3.6, P = <0.0001), and visiting on the weekend (OR: 1.1, CI: 1.0 - 1.3, P = 0.0366) were significantly predictive of the visits being inappropriate.
CONCLUSIONS: Our findings revealed a high incidence of IVs in the ED, with several factors predictive of IVs. Highlighting these factors can help minimize the incidence of IVs and, therefore, improve the quality of healthcare delivered to patients in need and their clinical outcomes.

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BACKGROUND: Measures of patient safety culture and patient experience are both commonly utilised to evaluate the quality of healthcare services, including hospitals, but the relationship between these two domains remains uncertain. In this study, we aimed to explore and synthesise published literature regarding the relationships between these topics in hospital settings.
METHODS: This study was performed using the five stages of Arksey and O\'Malley\'s Framework, refined by the Joanna Briggs Institute. Searches were conducted in the CINAHL, Cochrane Library, ProQuest, MEDLINE, PsycINFO, SciELO and Scopus databases. Further online search on the websites of pertinent organisations in Australia and globally was conducted. Data were extracted against predetermined criteria.
RESULTS: 4512 studies were initially identified; 15 studies met the inclusion criteria. Several positive statistical relationships between patient safety culture and patient experience domains were identified. Communication and teamwork were the most influential factors in the relationship between patient safety culture and patient experience. Managers and clinicians had a positive view of safety and a positive relationship with patient experience, but this was not the case when managers alone held such views. Qualitative methods offered further insights into patient safety culture from patients\' and families\' perspectives.
CONCLUSIONS: The findings indicate that the patient can recognise safety-related issues that the hospital team may miss. However, studies mostly measured staff perspectives on patient safety culture and did not always include patient experiences of patient safety culture. Further, the relationship between patient safety culture and patient experience is generally identified as a statistical relationship, using quantitative methods. Further research assessing patient safety culture alongside patient experience is essential for providing a more comprehensive picture of safety. This will help to uncover issues and other factors that may have an indirect effect on patient safety culture and patient experience.

BACKGROUND: Patients increasingly rely on web-based physician reviews to choose a physician and share their experiences. However, the unstructured text of these written reviews presents a challenge for researchers seeking to make inferences about patients\' judgments. Methods previously used to identify patient judgments within reviews, such as hand-coding and dictionary-based approaches, have posed limitations to sample size and classification accuracy. Advanced natural language processing methods can help overcome these limitations and promote further analysis of physician reviews on these popular platforms.
OBJECTIVE: This study aims to train, test, and validate an advanced natural language processing algorithm for classifying the presence and valence of 2 dimensions of patient judgments in web-based physician reviews: interpersonal manner and technical competence.
METHODS: We sampled 345,053 reviews for 167,150 physicians across the United States from Healthgrades.com, a commercial web-based physician rating and review website. We hand-coded 2000 written reviews and used those reviews to train and test a transformer classification algorithm called the Robustly Optimized BERT (Bidirectional Encoder Representations from Transformers) Pretraining Approach (RoBERTa). The 2 fine-tuned models coded the reviews for the presence and positive or negative valence of patients\' interpersonal manner or technical competence judgments of their physicians. We evaluated the performance of the 2 models against 200 hand-coded reviews and validated the models using the full sample of 345,053 RoBERTa-coded reviews.
RESULTS: The interpersonal manner model was 90% accurate with precision of 0.89, recall of 0.90, and weighted F1-score of 0.89. The technical competence model was 90% accurate with precision of 0.91, recall of 0.90, and weighted F1-score of 0.90. Positive-valence judgments were associated with higher review star ratings whereas negative-valence judgments were associated with lower star ratings. Analysis of the data by review rating and physician gender corresponded with findings in prior literature.
CONCLUSIONS: Our 2 classification models coded interpersonal manner and technical competence judgments with high precision, recall, and accuracy. These models were validated using review star ratings and results from previous research. RoBERTa can accurately classify unstructured, web-based review text at scale. Future work could explore the use of this algorithm with other textual data, such as social media posts and electronic health records.

UNASSIGNED: Continuity of care is one of the main principles of family medicine, described as a relationship with a single provider that extends beyond a single illness episode. This retrospective study, conducted at King Saud University Family Medicine Center in Riyadh, Saudi Arabia, aimed to investigate the impact of having a regular primary care provider on clinical outcomes and preventive service delivery for patients with diabetes and/or hypertension.
UNASSIGNED: The study, spanning 2017 to 2019, included 400 patients diagnosed with diabetes and/or hypertension for at least six months before the 6-month pre-attachment period to regular family medicine physicians in 2018. Data before and after attachment for at least six months were compared using electronic health records.
UNASSIGNED: The mean age of the patients was 60.9, with a predominant female representation (66.8%) and 90.7% Saudis. Results indicated a significant improvement in glycated hemoglobin (HbA1c) levels (p = 0.005) and systolic blood pressure (p = 0.014) post-attachment. Preventive service delivery saw notable enhancements, with increased colon cancer screening (p = 0.03), breast cancer screening (p < 0.001), and retinal screening (p < 0.001) post-attachment.
UNASSIGNED: This study\'s findings underscore the importance of continuity of care in chronic disease management and provide valuable and promising insights into the Saudi healthcare context, aligning with the Saudi Ministry of Health\'s vision for universal access to regular primary care providers.

UNASSIGNED: When performance data are provided as feedback to healthcare professionals, they may use it to significantly improve care quality. However, the question of how to provide effective feedback remains unanswered, as decades of evidence have produced a consistent pattern of effects-with wide variation. From a coaching perspective, feedback is often based on a learner\'s objectives and goals. Furthermore, when coaches provide feedback, it is ideally informed by their understanding of the learner\'s needs and motivation. We anticipate that a \"coaching\"-informed approach to feedback may improve its effectiveness in two ways. First, by aligning feedback with healthcare professionals\' chosen goals and objectives, and second, by enabling large-scale feedback systems to use new types of data to learn what kind of performance information is motivating in general. Our objective is to propose a conceptual model of precision feedback to support these anticipated enhancements to feedback interventions.
UNASSIGNED: We iteratively represented models of feedback\'s influence from theories of motivation and behavior change, visualization, and human-computer interaction. Through cycles of discussion and reflection, application to clinical examples, and software development, we implemented and refined the models in a software application to generate precision feedback messages from performance data for anesthesia providers.
UNASSIGNED: We propose that precision feedback is feedback that is prioritized according to its motivational potential for a specific recipient. We identified three factors that influence motivational potential: (1) the motivating information in a recipient\'s performance data, (2) the surprisingness of the motivating information, and (3) a recipient\'s preferences for motivating information and its visual display.
UNASSIGNED: We propose a model of precision feedback that is aligned with leading theories of feedback interventions to support learning about the success of feedback interventions. We plan to evaluate this model in a randomized controlled trial of a precision feedback system that enhances feedback emails to anesthesia providers.

BACKGROUND: Patient safety culture is the result of individual and group values, attitudes, perceptions, competencies, and patterns of behavior that determine the commitment, style, and proficiency of health providers\' safety management. Globally, millions of adverse events occur annually, with a significant burden on low- and middle-income countries. The burden of injuries and other harm to patients from adverse events is likely one of the top 10 causes of death and disability worldwide. This study aimed to assess patient safety culture and its associated factors in regional public hospitals in Addis Ababa.
METHODS: An institution-based cross-sectional study was conducted among 494 healthcare professionals working at regional public hospitals in Addis Ababa. The data were collected using a pretested structured self-administered questionnaire from June 3 to July 30, 2023. The data were entered into Epi info version 7.2 and exported to SPSS version 26.0 for analysis. Binary logistic regression analysis was used to determine the associations between the patient safety culture (dependent variables) and socio-demographic factors, health care providers and system\'s. Multicollinearity was checked using VIF, and the adequacy of the final model was assessed using the Hosmer and Lemeshow goodness-of-fit test.
RESULTS: Overall, 48.8% (95% CI: 44.3-53.1) of participants had a good patient safety culture, for a response rate of 93.3%. Factors significantly associated with patient safety culture, as identified through factor analysis, included having 6-10 years of experience (AOR = 1.81, 95% CI = 1.13-2.88), having more than 11 years of experience (AOR = 3.49, 95% CI = 1.27-9.56), reporting adverse events (AOR = 2.47, 95% CI = 1.37-4.45), participating in patient safety programs (AOR = 3.64, 95% CI = 1.91-6.92), and working in obstetrics and pediatric wards (AOR = 0.47, 95% CI = 0.23-0.94) and (AOR = 0.21, 95% CI = 0.097-0.44), respectively.
CONCLUSIONS: The overall level of patient safety culture in regional public hospitals was low (< 75%). Factors such as having 6 or more years of experience, reporting adverse events, participating in patient safety programs, and working in obstetrics and pediatric wards were significantly associated with patient safety culture.

The initial APEAS study, conducted in June 2007, examined adverse events (AEs) in Spanish Primary Healthcare (PHC). Since then, significant changes have occurred in healthcare systems. To evaluate these changes, a study was conducted in the Camp de Tarragona PHC region (CTPHC) in June 2019. This cross-sectional study aimed to identify AEs in 20 PHC centres in Camp de Tarragona. Data collection used an online questionnaire adapted from APEAS-2007, and a comparative statistical analysis between APEAS-2007 and CTPHC-2019 was performed. The results revealed an increase in nursing notifications and a decrease in notifications from family doctors. Furthermore, fewer AEs were reported overall, particularly in medication-related incidents and healthcare-associated infections, with an increase noted in no-harm incidents. However, AEs related to worsened clinical outcomes, communication issues, care management, and administrative errors increased. Concerning severity, there was a decrease in severe AEs, coupled with an increase in moderate AEs. Despite family doctors perceiving a reduction in medication-related incidents, the overall preventability of AEs remained unchanged. In conclusion, the reporting patterns, nature, and causal factors of AEs in Spanish PHC have evolved over time. While there has been a decrease in medication-related incidents and severe AEs, challenges persist in communication, care management, and clinical outcomes. Although professionals reported reduced severity, the perception of preventability remains an area that requires attention.

Across sub-Saharan Africa, men are less likely to know their HIV status than women, leading to later treatment initiation. Little is known about how experiences with general health services affect men\'s use of HIV testing. We used data from a 2019 community-representative survey of men in Malawi to understand frequency and cause of men\'s negative health service experiences (defined as men reporting they \"would not recommend\" a facility) and their association with future HIV testing. We conducted univariable and multivariable logistic regressions to determine which aspects of health facility visits were associated with would-not-recommend experiences and to determine if would-not-recommend experiences 12-24 months prior to the survey were associated with HIV testing in the 12 months prior to the survey. Among 1,098 men eligible for HIV testing in the 12 months prior to the survey, median age was 34 years; 9% of men reported at least one would-not-recommend experience, which did not differ by sociodemographics, gender norm beliefs, or HIV stigma beliefs. The factors most strongly associated with would-not-recommend experiences were cost (aOR 5.8, 95%CI 2.9-11.4), cleanliness (aOR 4.2, 95%CI 1.8-9.9), medicine availability (aOR 3.3, 95%CI 1.7-6.4), and wait times (aOR 2.7, 95%CI 1.5-5.0). Reporting a would-not-recommend experience 12-24 months ago was associated with a 59% decrease in likelihood of testing for HIV in the last 12 months (aOR 0.41; 95% CI:0.17-0.96). Dissatisfaction with general health services was strongly associated with reduced HIV testing. Coverage of high-priority screening services like HIV testing may benefit from improving overall health system quality.