Experiences of Chinese Rheumatoid Arthritis Patients Who Chose Western Medicine, Traditional Chinese Medicine, and a Combination of Treatments: A Study Based on Interviews and Thematic Analysis.

Background: This qualitative study, part of a prospective mixed-methods research, aimed to gain insights into the medical experiences and disease perceptions of Chinese patients living with rheumatoid arthritis (RA). Specifically, the study examined how RA patients' perceptions of their disease were influenced by the diagnosis and treatment they receive. Methods: RA patients undergoing treatment were invited to participate in this qualitative study. Face-to-face semi-structured interviews were conducted among 18 patients, and the collected data were analyzed using thematic analysis. Results: The 18 participants in this study had a mean (SD) age of 58, a median disease duration of 6.5 years, and a predominance of female subjects (17 out of 18). The qualitative analysis identified two themes with six sub-themes: 1. Patients' experiences of treatment: discovery of the disease, misdiagnosis and mistreatment, and patients' treatment choices; 2. Feelings about the disease: psychological impact, reflections on the disease, and expectations of treatment. Conclusion: This study provides valuable perspectives and data to enhance the understanding of the relationship between patients' illness perceptions and their healthcare choices.

Hospital Factors Influencing the Mobility of Patients for Systemic Therapies in Breast and Bowel Cancer in the Metastatic Setting: A National Population-based Evaluation.

AIMS: This national study investigated hospital quality and patient factors associated with treatment location for systemic anticancer treatment (SACT) in patients with metastatic cancers. MATERIALS AND METHODS: Using linked administrative datasets from the English NHS, we identified all patients diagnosed with metastatic breast and bowel cancer between 1 January 2016 and 31 December 2018, who subsequently received SACT within 4 months from diagnosis. The extent to which patients bypassed their nearest hospital was investigated using a geographic information system (ArcGIS). Conditional logistic regression models were used to estimate the impact of travel time, hospital quality and patient characteristics on where patients underwent SACT. RESULTS: 541 of 2,364 women (22.9%) diagnosed with metastatic breast cancer, and 2,809 of 10,050 (28.0%) patients diagnosed with metastatic bowel cancer bypassed their nearest hospital providing SACT. There was a strong preference for receiving treatment at hospitals near where patients lived (p < 0.001). However, patients who were younger (p = 0.043 for breast cancer; p < 0.001 for bowel cancer) or from rural areas (p = 0.001 for breast cancer; p < 0.001 for bowel cancer) were more likely to travel to more distant hospitals. Patients diagnosed with rectal cancer were more likely to travel further for SACT than patients with colon cancer (p = 0.002). Patients were more likely to travel to comprehensive cancer centres (p = 0.019 for bowel cancer) and designated Experimental Cancer Medicine Centres (ECMCs) although the latter association was not significant. Patients were less likely to receive SACT in hospitals with the highest readmission rates (p = 0.046 for bowel cancer). CONCLUSION: Patients with metastatic cancer receiving primary SACT are prepared to travel to alternative more distant hospitals for treatment with a preference for larger comprehensive centres providing multimodal care or hospitals which offer early phase cancer clinical trials.

Too many cooks could spoil the broth: choice overload and the provision of ambulatory health care.

Patient empowerment calls for an intensified participation of (informed) patients with more treatment opportunities to choose from. A growing body of literature argues that confronting consumers with too many opportunities can lead to a choice overload (CO) resulting in uncertainty that the selected alternative dominates all other options in the choice set. We examine whether there is a CO effect in the demand for ambulatory health care in Germany by analyzing the association of medical specialists supply on so-called patients' health uncertainty. Further, we investigate if the CO effect is smaller in areas with a higher density of general practitioners (GPs). We find that patients who live in an area with a large supply of specialists are subject to a CO effect that is expressed by an increased health uncertainty. The coordinating role of GPs seems to be effective to reduce the CO effect, while preserving free consumer choice.

Understanding the Impact of Different Modes of Information Provision on Preferences for a Newborn Bloodspot Screening Program in the United Kingdom.

Introduction. This study aimed to understand the impact of alternative modes of information provision on the stated preferences of a sample of the public for attributes of newborn bloodspot screening (NBS) in the United Kingdom. Methods. An online discrete choice experiment survey was designed using 4 attributes to describe NBS (effect of treatment on the condition, time to receive results, whether the bloodspot is stored, false-positive rate). Survey respondents were randomized to 1 of 2 survey versions presenting the background training materials using text from a leaflet (leaflet version) or an animation (animation version). Heteroskedastic conditional logistic regression was used to estimate the effect of mode of information provision on error variance. Results. The survey was completed by 1,000 respondents (leaflet = 525; animation = 475). Preferences for the attributes in the DCE were the same in both groups, but the group receiving the animation version had 9% less error variance in their responses. Respondents completing the animation version gave higher ratings compared with the leaflet version in terms of ease of perceived understanding. Subgroup analysis suggested that the animation was particularly effective at reducing error variance for women (20%), people with previous children (16.5%), and people between the ages of 35 and 45 y (11.8%). Limitations. This study used simple DCE with 4 attributes, and the results may vary for more complex choice questions. Conclusion. This study provides evidence that that supplementing the information package offered to parents choosing to take part in NBS with an animation may aid them their decision making. Further research would be needed to test the animation in the health system. Implications. Researchers designing DCE should carefully consider the design of their training materials to improve the quality of data collected. Highlights: Prior to completing a discrete choice experiment about newborn bloodspot screening, respondents were shown information using either a leaflet-based or animated format.Respondents receiving information using an animation version reported that the information was slightly easier to understand and exhibited 9% less error variance in expressing their preferences for a newborn screening program.Using the animation version to present information appeared to have a larger impact in reducing the error variance of responses for specific respondents including women, individuals with children, individuals between the ages of 35 and 45 y, and individuals educated to degree level.

Impacts of Norway's extended free choice reform on waiting times and hospital visits.

Norway's extended free choice (EFC) reform extends the patient's choice of publicly funded hospitals for treatment to authorized private institutions (EFC providers). We study the effects of the reform on waiting times, number of visits, and patients' Charlson Comorbidity Index scores in public hospitals. We use a difference-in-differences model to compare changes over time for public hospitals with and without EFC providers in the catchment area. Focusing on five prevalent somatic services, we find that the EFC reform did not exert pressure on public hospitals to stimulate shorter waiting times and more visits. Moreover, we do not find that the sum of public and private visits increased. When we compare patient comorbidity between public hospitals and EFC providers, we find that for non-invasive diagnostic services, patient comorbidity is lower in EFC providers. For surgical services, we detect no difference in patient comorbidities between public and EFC providers.

Association of travel time, patient characteristics, and hospital quality with patient mobility for breast cancer surgery: A national population-based study.

BACKGROUND: This national study investigated hospital quality and patient factors associated with treatment location for breast cancer surgery. METHODS: By using linked administrative data sets from the English National Health Service, the authors identified all women diagnosed between January 2, 2016, and December 31, 2018, who underwent breast-conserving surgery (BCS) or a mastectomy with or without immediate breast reconstruction. The extent to which patients bypassed their nearest hospital was investigated using a geographic information system (ArcGIS). Conditional logistic regressions were used to estimate the impact of travel time, hospital quality, and patient characteristics. RESULTS: 22,622 Of 69,153 patients undergoing BCS, 22,622 (32.7%) bypassed their nearest hospital; and, of 23,536 patients undergoing mastectomy, 7179 (30.5%) bypassed their nearest hospital. Women who were younger, without comorbidities, or from rural areas were more likely to travel to more distant hospitals (p < .05). Patients undergoing BCS (odds ratio [OR], 1.85; 95% confidence interval [CI], 1.36-2.50) or mastectomy (OR, 1.52; 95% CI, 1.14-2.02) were more likely to be treated at specialist breast reconstruction centers despite not undergoing the procedure. Patients receiving mastectomy and immediate breast reconstruction were more likely to travel to hospitals employing surgeons who had a media reputation (OR, 2.41; 95% CI, 1.28-4.52). Patients undergoing BCS were less likely to travel to hospitals with shorter surgical waiting times (OR, 0.65; 95% CI, 0.46-0.92). The authors did not observe a significant impact for research activity, hospital quality rating, breast re-excision rates, or the status as a multidisciplinary cancer center. CONCLUSIONS: Patient choice policies may drive inequalities in the health care system without improving patient outcomes.

Shared decision-making in scaling and root planing.

INTRODUCTION: Estimate proportion of various approaches used by dental hygienists for engaging patients in decisions commonly arising during scaling and root planing. Distribution of approaches was compared across various task components in this procedure, practice experience of dental hygienists and patient compliance. MATERIALS AND METHODS: Survey of graduates from and students in a baccalaureate dental hygiene program. RESULTS: Paternalism (tell then do) and informed consent (give choices and reasons and ask for permission) were more common than shared decision-making (discuss alternatives, solicit patient input and arrive at a mutual decision) and disengagement (patient refusing offered service or avoiding further involvement) by a ratio of 4 to 1 for the first 2 compared with the latter 2. This relationship was held across selecting treatment, procedural adjuncts, homecare instructions and financial arrangements. Dental hygienists exhibited a range of personal preferences for engagement approaches. No-show rate, patient disengagement outside the office, was high (20%). CONCLUSION: Dental hygienists reported using 'more controlled' approaches to engaging patients in decisions regarding treatment. Patients may prefer to engage in more shared decisions and choose this approach by staying away from the office. This may underestimate patients' decisions to stay away from treatment, for example by not showing for completion of the treatment or disregarding homecare routines.

Factors Informing High-Risk Primary Care Patient Choice around Telehealth Use: a Framework.

BACKGROUND: While telehealth's presence in post-pandemic primary care appears assured, its exact role remains unknown. Value-based care's expansion has heightened interest in telehealth's potential to improve uptake of preventive and chronic disease care, especially among high-risk primary care populations. Despite this, the pandemic underscored patients' diverse preferences around using telehealth. Understanding the factors underlying this population's preferences can inform future telehealth strategies. OBJECTIVE: To describe the factors informing high-risk primary care patient choice of whether to pursue primary care via telehealth, in-office or to defer care altogether. DESIGN: Qualitative, cross-sectional study utilizing semi-structured telephone interviews of a convenience sample of 29 primary care patients between July 13 and September 30, 2020. PARTICIPANTS: Primary care patients at high risk of poor health outcomes and/or acute care utilization who were offered a follow-up primary care visit via audiovisual, audio-only or in-office modalities. APPROACH: Responses were analyzed via grounded theory, using a constant comparison method to refine emerging categories, distinguish codes, and synthesize evolving themes. KEY RESULTS: Of the 29 participants, 16 (55.2%) were female and 19 (65.5%) were Black; the mean age (SD) was 64.6 (11.1). Participants identified four themes influencing their choice of visit type: perceived utility (encapsulating clinical and non-clinical utility), underlying costs (in terms of time, money, effort, and safety), modifiers (e.g., participants' clinical situation, choice availability, decision phenotype), and drivers (inclusive of their background experiences and digital environment). The relationship of these themes is depicted in a novel framework of patient choice around telehealth use. CONCLUSIONS: While visit utility and cost considerations are foundational to participants' decisions around whether to pursue care via telehealth, underappreciated modifiers and drivers often magnify or mitigate these considerations. Policymakers, payers, and health systems can leverage these factors to anticipate and enhance equitable high-value telehealth use in primary care settings among high-risk individuals.

Association between patient choice of provider and patient-reported experience.

Health providers are striving to create a more positive, patient-centred experience. However, existing scholarly research about the association between determinants of patient choice of provider and patient-reported experience remains insufficient to effectively promote patient-centredness in healthcare systems. This study used a sample from the nationally representative 2020 Healthcare Experience Survey. Among the respondents (n = 12 133), 6809 who used outpatient services were selected for analysis. The variable of interest was the determinant of the patient choice of provider, and the dependent variables were patient-reported experiences (e.g. general satisfaction, experience with doctors, and experience with health providers and nurses). Data were analyzed using a multivariable logistic regression model by correcting for covariates. General satisfaction was positively associated with providers' expertise factors and public image factors [providers' expertise factors: odds ratio (OR), 2.96; 95% confidence interval (CI), 2.44-3.59; public image factors: OR, 1.26; 95% CI, 1.02-1.55] satisfied more general satisfaction. Similar results were found for experience with doctors (providers' expertise factors: OR, 4.50; 95% CI, 2.77-7.32; other factors: OR, 0.37; 95% CI, 0.16-0.81) and experience with health providers and nurses (providers' expertise factors: OR, 2.66; 95% CI, 1.99-3.57; image factors: OR, 1.53; 95% CI, 1.09-2.14). Our study's findings suggest that to improve patient-reported experience, health providers must better manage providers' expertise factors and public image factors. Health providers can improve patient-reported experience by increasing communication skills and proper information about the nature is important. Moreover, health providers must manage public image factors comprehensively and continuously by maintaining good quality of care and to brand patients.

Trajectories of primary health care utilization: a 10-year follow-up after the Swedish Patient Choice Reform of primary health care.

BACKGROUND: In January 2010, the choice reform was instituted in Swedish primary health care establishing free entry for private primary health care providers and enabling patients to choose freely among primary health care centers. The motivation behind the reform was to improve access to primary care and responsiveness to patient expectations. Reform effects on health care utilization have previously been investigated by using subgroup analyses assuming a pattern of homogeneous subgroups of the population. By using a different methodological approach, the aim of this study was to, from an equity perspective, investigate long term trends of primary health care utilization following the choice reform. METHOD: A closed cohort was created based on register data from Region Skåne, the third most populated region in Sweden, describing individuals' health care utilization between 2007-2017. Using a novel approach, utilization data, measured as primary health care visits, was matched with socioeconomic and geographic determinants, and analyzed using logistic regression models. RESULTS: A total of 659,298 individuals were included in the cohort. Sex differences in utilization were recorded to decrease in the older age group and to increase in the younger age group. Multivariable logistic regression showed increasing utilization in older men to be associated with higher socioeconomic position, while in women it was associated with lower socioeconomic position. Furthermore, groups of becoming high utilizers were all associated with lower socioeconomic position and with residence in urban areas. CONCLUSION: The impact of demographic, socioeconomic and geographic determinants on primary health care utilization varies in magnitude and direction between groups of the population. As a result, the increase in utilization as observed in the general population following the choice reform is unevenly distributed between different population groups.

The sorting effect in healthcare access: Those left behind.

Many governments have sought to enhance patient choice in hospital by intensifying competitive pressure on hospital administrations that is expected to improve efficiency, quality, and innovation. However, there is mixed evidence on whether patients travel past their local hospitals to seek better quality care and whether higher-income patients are those most sensitive to respond to competitive pressures. Using detailed data from 17 million inpatient stays admitted in France during 2019, this paper explores patients' choice of provider where for-profit, non-profit, research hospital and local hospitals are allowed to compete with each other. We estimate the extent to which deprivation gradient plays on patient's choice of provider. We found that, in general, patients travel for their care, with just one-quarter of them going to the nearest hospital. In fact, the most vulnerable patients (i.e., those socio-economically deprived, and very aged) are mostly treated in local public hospitals with the lowest quality service level, and with large variability in quality as well, while those with less socio-economic deprivation seek care at higher-quality for-profit hospitals. Our counterfactual simulations show that admission to university hospitals attenuates existing inequalities. However, whether it delays the healthcare access sought by this population remains an open question.

Cognitive-behavioural versus cognitive-analytic guided self-help for mild-to-moderate anxiety: a pragmatic, randomised patient preference trial.

BACKGROUND: Guided self-help (GSH) for anxiety is widely implemented in primary care services because of service efficiency gains, but there is also evidence of poor acceptability, low effectiveness and relapse. AIMS: The aim was to compare preferences for, acceptability and efficacy of cognitive-behavioural guided self-help (CBT-GSH) versus cognitive-analytic guided self-help (CAT-GSH). METHOD: This was a pragmatic, randomised, patient preference trial (Clinical trials identifier: NCT03730532). The Beck Anxiety Inventory (BAI) was the primary outcome at 8- and 24-week follow-up. Interventions were delivered competently on the telephone via structured workbooks over 6-8 (30-35 min) sessions by trained practitioners. RESULTS: A total of 271 eligible participants were included, of whom 19 (7%) accepted being randomised and 252 (93%) chose their treatment. In the preference cohort, 181 (72%) chose CAT-GSH and 71 (28%) preferred CBT-GSH. BAI outcomes in the preference and randomised cohorts did not differ at 8 weeks (-0.80, 95% confidence interval (CI) -4.52 to 2.92) or 24 weeks (0.85, 95% CI -2.87 to 4.57). After controlling for allocation method and baseline covariates, there were no differences between CAT-GSH and CBT-GSH at 8 weeks (F(1, 263) = 0.22, P = 0.639) or at 24 weeks (F(1, 263) = 0.22, P = 0.639). Mean BAI change from baseline was a reduction of 9.28 for CAT-GSH and 9.78 for CBT-GSH at 8 weeks and 12.90 for CAT-GSH and 12.43 for CBT-GSH at 24 weeks. CONCLUSIONS: Patients accessing routine primary care talking treatments prefer to choose the intervention they receive. CAT-GSH expands the treatment offer in primary care for patients with anxiety seeking a brief but analytically informed GSH solution.

The Impact of Narrative Reviews on Patient E-doctor Choice in Online Health Communities.

As online health communities (OHCs) continue to proliferate, narrative reviews on doctors have become a vital reference source for patients when choosing online health services. However, the potential value of subjective information reflecting patient experiences in OHCs has not been fully explored. The present study seeks to investigate the impact of narrative reviews on patients' selection of e-doctors and the extent to which such reviews are moderated by doctors' specialties. This paper collected data from 747 doctors and 105 032 reviews from WeDoctor, one of China's most popular OHCs, in 2019. We employed Latent Dirichlet Allocation topic modeling to extract 3 topics and analyzed their effects on patient e-doctor choice using a multiple regression method. Our findings indicate that Topic 1, clinical skills and effects, had a positive impact on patient choice in OHCs (ß1 = .243, P < .001), as did Topic 2, service attitude and trust (ß2 = .130, P < .05). However, the impact of Topic 3, convenience, did not show a significant effect in this study. Moreover, our results suggest that the specialty of Internal Medicine can positively moderate the relationship between Topic 1 (clinical skills and effects) and patient e-doctor choice (ß9 = .087, P < .05). Based on the findings of this study, e-doctors are encouraged to enhance their technical competence to improve treatment effectiveness and adjust their communication methods to increase patient trust and sense of security. OHC platform managers should accurately understand the key factors that influence patient choice and take measures to improve their service quality accordingly.

Audit of Ireland's first manual vacuum aspiration service.

INTRODUCTION: Manual vacuum aspiration (MVA) is a safe and effective alternative option for the management of first-trimester miscarriage, termination of pregnancy, or retained pregnancy tissue. Ireland's first MVA clinic was set up in the Rotunda Hospital in April 2020. OBJECTIVE: To identify the number of women who have undergone MVA since establishing our service, to assess the efficacy and safety of MVA in that service, and to develop local Irish studies that further support the safety of MVA, adding to the international body of evidence. METHODS: With the approval and assistance of the Clinical Audit Committee, we obtained a log of all patients who underwent MVA in the first 18 months of the service. We performed a retrospective electronic chart review using Maternal and Newborn Clinical Management System. We collected the data and preformed a descriptive analysis. RESULTS: In total, 86 women underwent MVA, 85 (98.8%) of which were successfully completed. There were no immediate procedural complications, inter-hospital transfers, or emergency electric vacuum aspiration (EVA) required. We obtained an incomplete evacuation rate of 4.7% (n = 4). CONCLUSION: We have demonstrated that the MVA service in the Rotunda Hospital is a safe, effective management option with advantages for both the patient and the healthcare system. We recommend consideration for provision of funding and resources to enable expansion of this service nationally in order to give women greater autonomy of choice in the management of early pregnancy complications and termination of pregnancy.

Left Atrial Appendage Occlusion-A Choice or a Last Resort? How to Approach the Patient.

Left atrial appendage (LAA) occlusion is emerging as a viable alternative to oral anticoagulation in high-risk patients with atrial fibrillation. However, there remains limited evidence for this approach, especially in certain subgroups, and therefore patient selection is an important aspect of treatment. Here, the authors present arguments for LAA occlusion as either a last resort versus patient choice by evaluating contemporary studies on this topic and discuss practical steps in the approach of patients who may be suitable for LAA occlusion. Overall, an individualized and multidisciplinary team approach should be adopted in patients who are being considered for LAA occlusion.

'I just thought that was the best thing for me to do at this point': Exploring patient experiences with depot buprenorphine and their motivations to discontinue.

INTRODUCTION: Long-acting injectable depot buprenorphine is a recent addition to the suite of opioid agonist therapies (OAT) used to treat opioid use disorder (OUD). However, there has been little research that focuses on the lived experience of people receiving depot buprenorphine treatment and reasons for why people decide to discontinue. The aim of this study was to explore what it is like to receive depot buprenorphine and to understand the motivations behind why people discontinue. METHODS: Open-ended, semi-structured interviews were conducted between November 2021 and January 2022 with individuals who were either currently receiving depot buprenorphine or had discontinued or were in the process of discontinuing depot buprenorphine. Liberati, et al.'s (2022) adaptation of Dixon-Woods's (2006) candidacy framework was used to analyse the participant experiences. RESULTS: 40 participants (26 male, 13 female, 1 undisclosed; mean age 42 years) were interviewed about their experience with depot buprenorphine. At the time of the interview, 21 were currently receiving depot buprenorphine and 19 had discontinued this treatment or were in the process of discontinuing. Participants cited 4 key reasons why they decided to discontinue depot buprenorphine:1) feeling forced into the program, 2) experiencing negative side-effects, 3) finding the treatment ineffective, and 4) wanting to stop depot buprenorphine/OAT to use opioids again or feeling 'cured' and no longer in need of OAT. Participants were ultimately discussing issues related to clinician-patient power relations, agency and bodily autonomy, and the pursuit of well-being. CONCLUSION: Depot buprenorphine remains a promising treatment for OUD and offers potential to improve treatment adherence. Instances of restricted OAT choice and consumer concerns regarding a lack of agency must be addressed in order to enhance therapeutic relationships. Clinicians and other healthcare workers in this field also need greater access to information about depot buprenorphine to better address issues patients face during treatment. More research is required to understand patient and treatment choice given the options of these new treatment formulations.

Revolution in abortion care? Perspectives of key informants on the importance of abortion method choice in the era of telemedicine.

Patient choice of medical or surgical abortion is a standard of quality abortion care, but the choice of surgical abortion is constrained in England and Wales, particularly since the COVID-19 pandemic and introduction of telemedicine. This qualitative study explored the perspectives of abortion service providers, managers, and funders on the need to offer a choice of methods within early gestation abortion services in England and Wales. Twenty-seven key informant interviews were conducted between August and November 2021, and framework analysis methods were used. Participants presented arguments both for and against offering method choice. Most participants felt that it was important to maintain choice, although they recognised that medical abortion suits most patients, that both methods are very safe and acceptable, and that the priority for abortion services is to maintain timely access to respectful care. Their arguments related to practicalities around patient needs, the risk of reinforcing inequalities in access to patient-centred care, potential impacts on patients and providers, comparisons to other services, costs, and moral issues. Participants argued that constraining choice has a greater impact on those who are less able to advocate for themselves and there were concerns that patients may feel stigmatised or isolated when unable to choose their preferred method. In conclusion, although medical abortion suits most patients, this study highlights arguments for maintaining the option of surgical abortion in the era of telemedicine. More nuanced discussion of the potential benefits and impacts of self-management of medical abortion is needed.

Covid-19 Pandemic Strategy for Treatment of Acute Uncomplicated Appendicitis with Antibiotics- Risk Categorization and Shared Decision-Making.

BACKGROUND: During the Coronavirus disease 2019 (COVID-19) pandemic, a protocol was adopted by our department on antibiotics treatment for Acute Uncomplicated Appendicitis (AUA). Our study aimed to determine the feasibility and safety of non-operative treatment (NOT), compared to upfront laparoscopic appendectomy (LA), for AUA in children during the pandemic. METHOD: Our prospective comparative study was conducted from May 1, 2020 to January 31, 2021. Patient selection criteria included: age ≥5 years, abdominal pain duration ≤48 h, ultrasound (US)/Computered Tomography scan confirmation of AUA, US appendiceal diameter 6-11 mm with no features of perforation/abscess collection and no faecolith. For NOT patients, intravenous antibiotics were administered for 24-48 h followed by oral for 10-day course. Comparison was performed between patients whose parents preferred NOT to those who opted for up-front appendectomy. Primary outcomes were NOT success at index admission, early and late NOT failure rates till 27 months. Secondary outcomes were differences in complication rate, hospital length of stay (LOS) and cost between groups. RESULTS: 77 patients were recruited: 43 (55.8%) underwent NOT while 34 (44.2%) patients opted for LA. Success of NOT at index admission was 90.7% (39/43). Overall, NOT failure rate at 27 months' follow-up was 37.2% (16/43). Of the NOT failures, 1 appendix was normal on histology while only 1 was perforated. There were no significant differences in secondary outcomes between both groups except for LOS of late NOT failure. Cost for upfront LA was nearly thrice that of NOT. CONCLUSION: Our stringent COVID protocol together with shared decision-making with parents is a safe and feasible treatment option during a crisis situation. LEVEL OF EVIDENCE: Treatment study, Level II.

Women's choices of hospital for breast cancer surgery in Italy: Quality and equity implications.

This paper employs mixed logit regression to investigate the effects of providers characteristics on women's choice of hospital for breast surgery. Patient level data are used to model choices in Tuscany region, Italy. In particular, we focus on the effects of travel time and hospital quality indicators including quality standard (volumes of breast surgery), measurement of process (waiting times) and quality of surgical procedures. Variation in preferences related to individual characteristics such as age, education and travel distance from the hospital are also considered. Findings show that, on average, women prefer closer hospital with longer waiting times and higher quality (high volumes of interventions). We found preference heterogeneity associated to education: travel distance affects choice especially among less educated women (regardless of age), while among younger women (<65 years), less educated ones prefer shorter waiting times. These results could be used to optimize the allocation of resources toward breast cancer units that meet quality and efficacy standards to increase the efficiency and responsiveness of breast cancer care.

Prediction of patient choice tendency in medical decision-making based on machine learning algorithm.

Objective: Machine learning (ML) algorithms, as an early branch of artificial intelligence technology, can effectively simulate human behavior by training on data from the training set. Machine learning algorithms were used in this study to predict patient choice tendencies in medical decision-making. Its goal was to help physicians understand patient preferences and to serve as a resource for the development of decision-making schemes in clinical treatment. As a result, physicians and patients can have better conversations at lower expenses, leading to better medical decisions. Method: Patient medical decision-making tendencies were predicted by primary survey data obtained from 248 participants at third-level grade-A hospitals in China. Specifically, 12 predictor variables were set according to the literature review, and four types of outcome variables were set based on the optimization principle of clinical diagnosis and treatment. That is, the patient's medical decision-making tendency, which is classified as treatment effect, treatment cost, treatment side effect, and treatment experience. In conjunction with the study's data characteristics, three ML classification algorithms, decision tree (DT), k-nearest neighbor (KNN), and support vector machine (SVM), were used to predict patients' medical decision-making tendency, and the performance of the three types of algorithms was compared. Results: The accuracy of the DT algorithm for predicting patients' choice tendency in medical decision making is 80% for treatment effect, 60% for treatment cost, 56% for treatment side effects, and 60% for treatment experience, followed by the KNN algorithm at 78%, 66%, 74%, 84%, and the SVM algorithm at 82%, 76%, 80%, 94%. At the same time, the comprehensive evaluation index F1-score of the DT algorithm are 0.80, 0.61, 0.58, 0.60, the KNN algorithm are 0.75, 0.65, 0.71, 0.84, and the SVM algorithm are 0.81, 0.74, 0.73, 0.94. Conclusion: Among the three ML classification algorithms, SVM has the highest accuracy and the best performance. Therefore, the prediction results have certain reference values and guiding significance for physicians to formulate clinical treatment plans. The research results are helpful to promote the development and application of a patient-centered medical decision assistance system, to resolve the conflict of interests between physicians and patients and assist them to realize scientific decision-making.