Cost-consequence analysis of computer vision-based skin prick tests: implications for cost containment in Switzerland.

BACKGROUND: Skin prick tests (SPTs), or intraepidermal tests, are often the first diagnostic approach for people with a suspected allergy. Together with the clinical history, SPTs allow doctors to draw conclusions on allergies based on the sensitization pattern. The purpose of this study is to investigate the potential cost consequences that would accrue to a Swiss University hospital after the adoption of computer vision-based SPTs. METHODS: We conducted a cost-consequence analysis from a hospital's perspective to evaluate the potential cost consequences of using a computer vision-based system to read SPT results. The patient population consisted of individuals who were referred to the allergology department of one of the five university hospitals in Switzerland, Inselspital, whose allergology department averages 100 SPTs a week. We developed an early cost-consequence model comparing two SPT techniques; computer vision-based SPTs conducted with the aid of Nexkin DSPT and standard fully manual SPTs. Probabilistic sensitivity analysis and additional univariate sensitivity analyses were used to account for uncertainty. RESULTS: The difference in average cost between the two alternatives from a hospital's perspective was estimated to be CHF 7 per SPT, in favour of the computer vison-based SPTs. Monte Carlo probabilistic simulation also indicated that SPTs conducted using the computer vision-based system were cost saving compared to standard fully manual SPTs. Sensitivity analyses additionally demonstrated the robustness of the base case result subject to plausible changes in all the input parameters, with parameters representing the costs associated with both SPT techniques having the largest influence on the incremental cost. However, higher sensitization prevalence rates seemed to favour the more accurate standard fully manual SPTs. CONCLUSION: Against the backdrop of rising healthcare costs especially in Switzerland, using computer-aided or (semi) automated diagnostic systems could play an important role in healthcare cost containment efforts. However, results should be taken with caution because of the uncertainty associated with the early nature of our analysis and the specific Swiss context adopted in this study.

Adopting a stance of vulnerability in healthcare evaluation: Amplifying the patient voice.

This paper argues that one aspect of re-imagining evaluation in health planning and management is for leaders and clinicians to develop comfort with vulnerability when engaging in service evaluations. Starting with an exploration of how the service user voice is traditionally expressed in healthcare evaluation, the paper then proceeds to explore the particular role and challenges faced by clinician-evaluators, including their role as 'privileged interlocutors' in conversations with service users. The tensions in reconciling the role of the clinician as an expert, with the related but different skills needed for effective discourse in qualitative evaluation are explored, and it is asserted that it is important for clinicians and leaders to be comfortable in showing and working with vulnerability when evaluating healthcare interventions. Clinicians are already skilled in holding discourse with service users, and extending the communication repertoire to include the management of emotion and expression of vulnerability is achievable and rewarding. The paper concludes that the ability to hold a vulnerable stance when conducting evaluation can have benefits in reducing defensiveness, encouraging a truer sense of enquiry and amplifying the service user voice.

Strengthening open disclosure in maternity services in the English NHS: the DISCERN realist evaluation study.

Background: There is a policy drive in NHS maternity services to improve open disclosure with harmed families and limited information on how better practice can be achieved. Objectives: To identify critical factors for improving open disclosure from the perspectives of families, doctors, midwives and services and to produce actionable evidence for service improvement. Design: A three-phased, qualitative study using realist methodology. Phase 1: two literature reviews: scoping review of post-2013 NHS policy and realist synthesis of initial programme theories for improvement; an interview study with national stakeholders in NHS maternity safety and families. Phase 2: in-depth ethnographic case studies within three NHS maternity services in England. Phase 3: interpretive forums with study participants. A patient and public involvement strategy underpinned all study phases. Setting: National recruitment (study phases 1 and 3); three English maternity services (study phase 2). Participants: We completed n = 142 interviews, including 27 with families; 93 hours of ethnographic observations, including 52 service and family meetings over 9 months; and interpretive forums with approximately 69 people, including 11 families. Results: The policy review identified a shift from viewing injured families as passive recipients to active contributors of post-incident learning, but a lack of actionable guidance for improving family involvement. The realist synthesis found weak evidence of the effectiveness of open disclosure interventions in the international maternity literature, but some improvements with organisation-wide interventions. Recent evidence was predominantly from the United Kingdom. The research identified and explored five key mechanisms for open disclosure: meaningful acknowledgement of harm; involvement of those affected in reviews/investigations; support for families' own sense-making; psychological safely of skilled clinicians (doctors and midwives); and knowing that improvements to care have happened. The need for each family to make sense of the incident in their own terms is noted. The selective initiatives of some clinicians to be more open with some families is identified. The challenges of an adversarial medicolegal landscape and limited support for meeting incentivised targets is evidenced. Limitations: Research was conducted after the pandemic, with exceptional pressure on services. Case-study ethnography was of three higher performing services: generalisation from case-study findings is limited. No observations of Health Safety Investigation Branch investigations were possible without researcher access. Family recruitment did not reflect population diversity with limited representation of non-white families, families with disabilities and other socially marginalised groups and disadvantaged groups. Conclusions: We identify the need for service-wide systems to ensure that injured families are positioned at the centre of post-incident events, ensure appropriate training and post-incident care of clinicians, and foster ongoing engagement with families beyond the individual efforts made by some clinicians for some families. The need for legislative revisions to promote openness with families across NHS organisations, and wider changes in organisational family engagement practices, is indicated. Examination of how far the study's findings apply to different English maternity services, and a wider rethinking of how family diversity can be encouraged in maternity services research. Study registration: This study is registered as PROSPERO CRD42020164061. The study has been assessed following RAMESES realist guidelines. Funding: This award was funded by the National Institute for Health and Care Research (NIHR) Health and Social Care Delivery Research Programme (NIHR award ref: 17/99/85) and is published in full in Health and Social Care Delivery Research; Vol. 12, No. 22. See the NIHR Funding and Awards website for further award information.

This study describes the experiences of families and healthcare professionals involved in incidents in NHS maternity care. The incidents caused harm-like injury or death to the baby or woman. We wanted to know whether services involved families in investigations and reviews and how this was done, what worked well, what did not work well and why. To do this, we first looked at what had already been written about 'open disclosure' or OD. Open disclosure is when the NHS admits to families that the care they provided has directly caused harm. After open disclosure occurs, families should be involved in making sure that the NHS learns so it can deliver better care for families in the future. In our reading, we found that families want a meaningful apology, to be involved in reviews or investigations, to know what happened to their loved one, to be cared for by knowledgeable doctors and midwives who are supported in providing open disclosure and to know things have changed because of what happened. Recommendations for involving families in open disclosure have improved, but there is still work to be done to make sure families are involved. Next, we talked to over 100 healthcare professionals involved in government policy for open disclosure in maternity services and 27 families who experienced harm. We spent 9 months observing the work of clinicians at three maternity services to watch open disclosure. We shared early findings with families, doctors, midwives and managers, and included their views. We found that services need to provide dedicated time, education and emotional support for staff who provide open disclosure. Services need to ensure that families have ongoing support and better communication about incidents. Finally, families must be involved in the review process if they want to be with their experiences reflected in reports and kept informed of ongoing improvements.

Development of quality indicators for hypertension, extractable from the electronic health record of the general practitioner: a rand-modified Delphi method.

BACKGROUND: Hypertension, a chronic medical condition affecting millions of people worldwide, is a leading cause of cardiovascular diseases. A multidisciplinary approach is needed to reduce the burden of the disease, with general practitioners playing a vital role. Therefore, it is crucial that GPs provide high-quality care that is standardized and based on the most recent European guidelines. Quality indicators (QIs) can be used to assess the performance, outcomes, or processes of healthcare delivery and are critical in helping healthcare professionals identify areas of improvement and measure progress towards achieving desired health outcomes. However, QIs to evaluate the care of patients with hypertension in general practice have been studied to a limited extent. The aim of our study is to define quality indicators for hypertension in general practice that are extractable from the electronic health record (EHR) and can be used to evaluate and improve the quality of care for hypertensive patients in the general practice setting. METHODS: We used a Rand-modified Delphi procedure. We extracted recommendations from European guidelines and assembled them into an online questionnaire. An initial scoring based on the SMART principle and extractability from the EHR was performed by panel members, these results were analyzed using a Median Likert score, prioritization and degree of consensus. A consensus meeting was set up in which all the recommendations were discussed, followed by a final validation round. RESULTS: Our study extracted 115 recommendations. After analysis of the online questionnaire round and a consensus meeting round, 37 recommendations were accepted and 75 were excluded. Of these 37 recommendations, 9 were slightly modified and 4 were combined into 2 recommendations, resulting in a list of 35 recommendations. All recommendations of the final set were translated to QIs, made up of 7 QIs on screening, 6 QIs on diagnosis, 11 QIs on treatment, 5 QIs on outcome and 6 QIs on follow-up. CONCLUSIONS: Our study resulted in a set of 35 QIs for hypertension in general practice. These QIs, tailored to the Belgian EHR, provide a robust foundation for automated audit and feedback and could substantially benefit other countries if adapted to their systems.

Contents analysis of telemedicine applications in South Korea: An analysis of possibility of inducing selective or unnecessary medical care.

The use of telemedicine and telehealth has rapidly increased since the start of the COVID-19 pandemic, however, could lead to unnecessary medical service. This study analyzes the contents of telemedicine apps (applications) in South Korea to investigate the use of telemedicine for selective or unnecessary medical treatments and the presence of advertising for the hospital. This study analyzed 49 telemedicine mobile apps in Korea; a content analysis of the apps' features and quality using a Mobile Application Rating Scale was done. The study analyzed 49 mobile telemedicine apps and found that 65.3% of the apps provide immediate telemedicine service without reservations, with an average rating of 4.35. 87% of the apps offered selective care, but the overall quality of the apps was low, with an average total quality score of 3.27. 73.9% of the apps were able to provide selective care for alopecia or morning-after pill prescription, 65.2% of the apps for weight loss, and 52.2% of the apps for erectile dysfunction, with the potential to encourage medical inducement or abuse. Therefore, before introducing telemedicine, it is helpful to prevent the possibility of abuse of telemedicine by establishing detailed policies for methods and scope of telemedicine.

Telerheumatology Shared-Care Model: Leveraging the Expertise of an Advanced Clinician Practitioner in Arthritis Care (ACPAC)-Trained Extended Role Practitioner in Rural-Remote Ontario.

OBJECTIVE: A shortage of rheumatologists has led to gaps in inflammatory arthritis (IA) care in Canada. Amplified in rural-remote communities, the number of rheumatologists practicing rurally has not been meaningfully increased, and alternate care strategies must be adopted. In this retrospective chart review, we describe the impact of a shared-care telerheumatology model using a community-embedded Advanced Clinician Practitioner in Arthritis Care (ACPAC)-extended role practitioner (ERP) and an urban-based rheumatologist. METHODS: A rheumatologist and an ACPAC-ERP established a monthly half-day hub-and-spoke-telerheumatology clinic to care for patients with suspected IA, triaged by the ACPAC-ERP. Comprehensive initial assessments were conducted in-person by the ACPAC-ERP (spoke); investigations were completed prior to the telerheumatology visit. Subsequent collaborative visits occurred with the rheumatologist (hub) attending virtually. Retrospective analysis of demographics, time-to-key care indices, patient-reported outcomes, clinical data, and estimated travel savings was performed. RESULTS: Data from 124 patients seen between January 2013 and January 2022 were collected; 98% (n = 494/504 visits) were virtual. The average age of patients at first visit was 55.6 years, and 75.8% were female. IA/connective tissue disease (CTD) was confirmed in 65% of patients. Mean time from primary care referral to ACPAC-ERP assessment was 52.5 days, and mean time from ACPAC-ERP assessment to the telerheumatology visit was 64.5 days. An estimated 493,470 km of patient-related travel was avoided. CONCLUSION: An ACPAC-ERP (spoke) and rheumatologist (hub) telerheumatology model of care assessing and managing patients with suspected IA in rural-remote Ontario was described. This model can be leveraged to increase capacity by delivering comprehensive virtual rheumatologic care in underserved communities.

Assessing the validity of a Parkinson's care evaluation: the PRIME-NL study.

INTRODUCTION: The PRIME-NL study prospectively evaluates a new integrated and personalized care model for people with parkinsonism, including Parkinson's disease, in a selected region (PRIME) in the Netherlands. We address the generalizability and sources of selection and confounding bias of the PRIME-NL study by examining baseline and 1-year compliance data. METHODS: First, we assessed regional baseline differences between the PRIME and the usual care (UC) region using healthcare claims data of almost all people with Parkinson's disease in the Netherlands (the source population). Second, we compared our questionnaire sample to the source population to determine generalizability. Third, we investigated sources of bias by comparing the PRIME and UC questionnaire sample on baseline characteristics and 1-year compliance. RESULTS: Baseline characteristics were similar in the PRIME (n = 1430) and UC (n = 26,250) source populations. The combined questionnaire sample (n = 920) was somewhat younger and had a slightly longer disease duration than the combined source population. Compared to the questionnaire sample in the PRIME region, the UC questionnaire sample was slightly younger, had better cognition, had a longer disease duration, had a higher educational attainment and consumed more alcohol. 1-year compliance of the questionnaire sample was higher in the UC region (96%) than in the PRIME region (92%). CONCLUSION: The generalizability of the PRIME-NL study seems to be good, yet we found evidence of some selection bias. This selection bias necessitates the use of advanced statistical methods for the final evaluation of PRIME-NL, such as inverse probability weighting or propensity score matching. The PRIME-NL study provides a unique window into the validity of a large-scale care evaluation for people with a chronic disease, in this case parkinsonism.

Prescribing Renally Inappropriate Medication to Hospitalized Geriatric Patients in Makkah, Saudi Arabia.

Introduction: As a result of the physiological decline in renal function that comes with age and the common failure to recognise renal insufficiency, older adults aged 65 and above are at increased risk of receiving medications that are inappropriate for their level of renal function which in turn lead to increased risk of adverse effects. Little is known about how many older adults receive medications that are inappropriate for their level of renal function. This study aimed to determine the prevalence of renally inappropriate medications in elderly adults by reviewing patient files and evaluating the appropriateness of medication doses relative to renal function in patients aged ≥ 65 years at inpatient healthcare departments. Methods: A retrospective cross-sectional study of patients aged ≥ 65 years was conducted, covering cases from 2015 to 2021. Patient's medical records were reviewed, their renal function and medications lists were evaluated, determined whether they had been prescribed at least one renally inappropriate medication based on drug-dosing recommendations for different degrees of renal function. Results: A total of 317 elderly inpatients were included, 10% of whom had received inappropriate doses relative to their renal function. Glomerular filtration rate was associated with inappropriate dosing in this study. Of the patients CKD stage 5, 36.8% had at least one drug administered at an inappropriate dose, while this figure was 6.5% among the patients at CKD stage 1; this difference was statistically significant (p = 0.001). Conclusion: A notable portion of older adults may be at risk of adverse effects due to inappropriate medication dosing related to their renal function. Further studies with large samples, drug use analyses based on comprehensive geriatric references and a prioritisation of actual outcomes over potential outcomes are needed to further determine elderly adults' exposure to inappropriate drugs.

The Fenice project to evaluate and improve the quality of healthcare in high-dependency care units: results after the first year.

High-Dependency care Units (HDUs) have been introduced worldwide as intermediate wards between Intensive Care Units (ICUs) and general wards. Performing a comparative assessment of the quality of care in HDU is challenging because there are no uniform standards and heterogeneity among centers is wide. The Fenice network promoted a prospective cohort study to assess the quality of care provided by HDUs in Italy. This work aims at describing the structural characteristics and admitted patients of Italian HDUs. All Italian HDUs affiliated to emergency departments were eligible to participate in the study. Participating centers reported detailed structural information and prospectively collected data on all admitted adult patients. Patients' data are presented overall and analyzed to evaluate the heterogeneity across the participating centers. A total of 12 HDUs participated in the study and enrolled 3670 patients. Patients were aged 68 years on average, had multiple comorbidities and were on major chronic therapies. Several admitted patients had at least one organ failure (39%). Mortality in HDU was 8.4%, raising to 16.6% in hospital. While most patients were transferred to general wards, a small proportion required ICU transfer (3.9%) and a large group was discharged directly home from the HDU (31%). The expertise of HDUs in managing complex and fragile patients is supported by both the available equipment and the characteristics of admitted patients. The limited proportion of patients transferred to ICUs supports the hypothesis of preventing of ICU admissions. The heterogeneity of HDU admissions requires further research to define meaningful patients' outcomes to be used by quality-of-care assessment programs.

Validation of French versions of the 15-item picker patient experience questionnaire for adults, teenagers, and children inpatients.

Objectives: No French validated concise scales are available for measuring the experience of inpatients in pediatrics. This study aims to adapt the adult PPE-15 to a pediatric population, and translating it in French, as well as to establish reference values for adults, teenagers, and parents of young children. Methods: Cultural adaptation involved forward and backward translations, along with pretests in all three populations. Dimensional structure and internal consistency were assessed using principal component analysis, exploratory factor analysis, and Cronbach's alpha. Construct validity was assessed by examining established associations between patient satisfaction and inpatient variables, including length of stay, and preventable readmission. Results: A total of 25,626 adults, 293 teenagers and 1,640 parents of young children completed the French questionnaires. Factor analysis supported a single dimension (Cronbach's alpha: adults: 0.85, teenagers: 0.82, parents: 0.80). Construct validity showed the expected pattern of association, with dissatisfaction correlating with patient- and stay-related factors, notably length of stay, and readmission. Conclusion: The French versions of the PPE-15 for adults, teenagers and parents of pediatric patients stand as valid and reliable instruments for gauging patient satisfaction regarding their hospital stay after discharge.

A framework for local-level economic evaluation to inform implementation decisions: health service interventions to prevent hospital-acquired hypoglycemia.

OBJECTIVES: Published evidence on health service interventions should inform decision-making in local health services, but primary effectiveness studies and cost-effectiveness analyses are unlikely to reflect contexts other than those in which the evaluations were undertaken. A ten-step framework was developed and applied to use published evidence as the basis for local-level economic evaluations that estimate the expected costs and effects of new service intervention options in specific local contexts. METHODS: Working with a multidisciplinary group of local clinicians, the framework was applied to evaluate intervention options for preventing hospital-acquired hypoglycemia. The framework included: clinical audit and analyses of local health systems data to understand the local context and estimate baseline event rates; pragmatic literature review to identify evidence on relevant intervention options; expert elicitation to adjust published intervention effect estimates to reflect the local context; and modeling to synthesize and calibrate data derived from the disparate data sources. RESULTS: From forty-seven studies identified in the literature review, the working group selected three interventions for evaluation. The local-level economic evaluation generated estimates of intervention costs and a range of cost, capacity and patient outcome-related consequences, which informed working group recommendations to implement two of the interventions. CONCLUSIONS: The applied framework for modeled local-level economic evaluation was valued by local stakeholders, in particular the structured, formal approach to identifying and interpreting published evidence alongside local data. Key methodological issues included the handling of alternative reported outcomes and the elicitation of the expected intervention effects in the local context.

Identifying benefits and concerns with using digital health services during COVID-19: Evidence from a hospital-based patient survey.

Despite large-scale adoption during COVID-19, patient perceptions on the benefits and potential risks with receiving care through digital technologies have remained largely unexplored. A quantitative content analysis of responses to a questionnaire (N = 6766) conducted at a multi-site acute trust in London (UK), was adopted to identify commonly reported benefits and concerns. Patients reported a range of promising benefits beyond immediate usage during COVID-19, including ease of access; support for disease and care management; improved timeliness of access and treatment; and better prioritisation of healthcare resources. However, in addition to known risks such as data security and inequity in access, our findings also illuminate some less studied concerns, including perceptions of compromised safety; negative impacts on patient-clinician relationships; and difficulties in interpreting health information provided through electronic health records and mHealth apps. Implications for future research and practice are discussed.

Accelerating artificial intelligence: How federated learning can protect privacy, facilitate collaboration, and improve outcomes.

Cross-institution collaborations are constrained by data-sharing challenges. These challenges hamper innovation, particularly in artificial intelligence, where models require diverse data to ensure strong performance. Federated learning (FL) solves data-sharing challenges. In typical collaborations, data is sent to a central repository where models are trained. With FL, models are sent to participating sites, trained locally, and model weights aggregated to create a master model with improved performance. At the 2021 Radiology Society of North America's (RSNA) conference, a panel was conducted titled "Accelerating AI: How Federated Learning Can Protect Privacy, Facilitate Collaboration and Improve Outcomes." Two groups shared insights: researchers from the EXAM study (EMC CXR AI Model) and members of the National Cancer Institute's Early Detection Research Network's (EDRN) pancreatic cancer working group. EXAM brought together 20 institutions to create a model to predict oxygen requirements of patients seen in the emergency department with COVID-19 symptoms. The EDRN collaboration is focused on improving outcomes for pancreatic cancer patients through earlier detection. This paper describes major insights from the panel, including direct quotes. The panelists described the impetus for FL, the long-term potential vision of FL, challenges faced in FL, and the immediate path forward for FL.

A systematic review of studies reporting the development of core outcome sets for use in routine care.

OBJECTIVES: Core outcome sets (COS) represent the minimum health outcomes to be measured for a given health condition. Interest is growing in using COS within routine care to support delivery of patient-focused care. This review aims to systematically map COS developed for routine care to understand their scope, stakeholder involvement, and development methods. METHODS: Medline (Ovid), Scopus, and Web of Science Core collection were searched for studies reporting development of COS for routine care. Data on scope, methods, and stakeholder groups were analyzed in subgroups defined by setting. RESULTS: Screening 25,301 records identified 262 COS: 164 for routine care only and 98 for routine care and research. Nearly half of the COS (112/254, 44%) were developed with patients, alongside input from experts in registries, insurance, legal, outcomes measurement, and performance management. Research publications were often searched to generate an initial list of outcomes (115/198, 58%) with few searching routine health records (47/198, 24%). CONCLUSION: An increasing number of COS is being developed for routine care. Although involvement of patient stakeholders has increased in recent years, further improvements are needed. Methodology and scope are broadly similar to COS for research but implementation of the final set is a greater consideration during development.

A decision-support tool for funding health innovations at a tertiary academic medical center.

OBJECTIVES: To report the processes used to design and implement an assessment tool to inform funding decisions for competing health innovations in a tertiary hospital. METHODS: We designed an assessment tool for health innovation proposals with three components: "value to the institution," "novelty," and "potential for adoption and scaling." The "value to the institution" component consisted of twelve weighted value attributes identified from the host institution's annual report; weights were allocated based on a survey of the hospital's leaders. The second and third components consisted of open-ended questions on "novelty" and "barriers to implementation" to support further dialogue. Purposive literature review was performed independently by two researchers for each assessment. The assessment tool was piloted during an institutional health innovation funding cycle. RESULTS: We used 17 days to evaluate ten proposals. The completed assessments were shared with an independent group of panellists, who selected five projects for funding. Proposals with the lowest scores for "value to the institution" had less perceived impact on the patient-related value attributes of "access," "patient centeredness," "health outcomes," "prevention," and "safety." Similar innovations were reported in literature in seven proposals; potential barriers to implementation were identified in six proposals. We included a worked example to illustrate the assessment process. CONCLUSIONS: We developed an assessment tool that is aligned with local institutional priorities. Our tool can augment the decision-making process when funding health innovation projects. The tool can be adapted by others facing similar challenges of trying to choose the best health innovations to fund.

Hospital utilization among urban poor in Indonesia in 2018: is government-run insurance effective?

BACKGROUND: An urban poor is a vulnerable group that needs government financing support to access health services. Once they are sick, they will fall deeper into poverty. The study aims to analyze the effectiveness of government-run insurance in hospital utilization in urban poor in Indonesia. METHODS: The research analyzed the 2018 Indonesian Basic Health Survey data. This cross-sectional survey collected 75,970 participants through stratification and multistage random sampling. Meanwhile, the study employed hospital utilization as an outcome variable and health insurance ownership as an exposure variable. Moreover, the study looked at age, gender, marital status, education, and occupation as control factors. The research employed a binary logistic regression to evaluate the data in the final step. RESULTS: The results show that someone with government-run insurance is 4.261 times more likely than the uninsured to utilize the hospital (95% CI 4.238-4.285). Someone with private-run insurance is 4.866 times more likely than the uninsured to use the hospital (95% CI 4.802-4.931). Moreover, someone with government-run and private-run insurance has 11.974 times more likely than the uninsured to utilize the hospital (95% CI 11.752-12.200). CONCLUSION: The study concluded that government-run insurance is more effective than the uninsured in improving hospital utilization among the urban poor in Indonesia. Meanwhile, private-run is more effective than government-run and uninsured in improving hospital utilization among the urban poor in Indonesia. Moreover, the most effective is to combine the kind of health insurance ownership (government-run and private-run).

Bringing the patient's perspectives forward in drug development and health-care evaluation.

INTRODUCTION: For many years, psychologists and other social scientists have been pushing for the individual patient's perspective - priorities, needs, feelings, and functioning - to be incorporated into drug development. This is usually achieved through the use of patient-reported outcome measures (PROMs) in clinical trials. AREAS COVERED: This paper discusses some key issues in the use of PROM data as the sole method of generating information about the patient's perspective and outlines the relevance of narrative evidence to enhance understanding and interpretation of PROM data. EXPERT OPINION: The development and use of PROMs situates them at the vertex of two very different trends in medicine: patient-centered care and standardization. Indeed, the application of PROMs - which pull in the direction of standardization - results in a narrow conception of evidence by overriding the subjectivity of individual experiences, beliefs, and judgments. Without additional context, PROM data cannot easily support individual patient-level care. When collected systematically and with an interpretive phenomenological approach, narrative data can contain valuable information about the patient experience that numerical ratings from PRO measures do not capture.

Policy to expand hospital utilization in disadvantaged areas in Indonesia: who should be the target?

BACKGROUND: The disadvantaged areas are one of the government's focuses in accelerating development in Indonesia, including the health sector. The study aims to determine the target for expanding hospital utilization in disadvantaged areas in Indonesia. METHODS: The study employed the 2018 Indonesian Basic Health Survey data. This cross-sectional study analyzed 42,644 respondents. The study used nine independent variables: residence, age, gender, marital, education, employment, wealth, insurance, and travel time, in addition to hospital utilization, as a dependent variable. The study employed binary logistic regression to evaluate the data. RESULTS: The results found that average hospital utilization in disadvantaged areas in Indonesia in 2018 was 3.7%. Urban areas are 1.045 times more likely than rural areas to utilize the hospital (95% CI 1.032-1.058). The study also found age has a relationship with hospital utilization. Females are 1.656 times more likely than males to use the hospital (95% CI 1.639-1.673). Moreover, the study found marital status has a relationship with hospital utilization. The higher the education level, the higher the hospital utilization. Employed individuals have a 0.748 possibility to use the hospital compared with those unemployed (95% CI 0.740-0.757). Wealthy individuals have more chances of using the hospital than poor individuals. Individuals with all insurance types are more likely to utilize the hospital than those uninsured. Individuals with travel times of ≤ 1 h are 2.510 more likely to use the hospital than those with > 1 h (95% CI 2.483-2.537). CONCLUSION: The specific targets to accelerate the increase in hospital utilization in disadvantaged areas in Indonesia are living in a rural area, being male, never in a union, having no education, being employed, being the poorest, uninsured, and having a travel time of > 1 h. The government should make a policy addressing the problem based on the research findings.

Incorporating environmental and sustainability considerations into health technology assessment and clinical and public health guidelines: a scoping review.

Healthcare systems account for a substantial proportion of global carbon emissions and contribute to wider environmental degradation. This scoping review aimed to summarize the evidence currently available on incorporation of environmental and sustainability considerations into health technology assessments (HTAs) and guidelines to support the National In stitute for Health and Care Excellence and analogous bodies in other jurisdictions developing theirown methods and processes. Overall, 7,653 articles were identified, of which 24 were included in this review and split into three key areas - HTA (10 studies), healthcare guidelines (4 studies), and food and dietary guidelines (10 studies). Methodological reviews discussed the pros and cons of different approaches to integrate environmental considerations into HTAs, including adjustments to conventional cost-utility analysis (CUA), cost-benefit analysis, and multicriteria decision analysis. The case studies illustrated the challenges of putting this into practice, such as lack of disaggregated data to evaluate the impact of single technologies and difficulty in conducting thorough life cycle assessments that consider the full environmental effects. Evidence was scant on the incorporation of environmental impacts in clinical practice and public health guidelines. Food and dietary guidelines used adapted CUA based on life cycle assessments, simulation modeling, and qualitative judgments made by expert panels. There is uncertainty on how HTA and guideline committees will handle trade-offs between health and environment, especially when balancing environmental harms that fall largely on society with health benefits for individuals. Further research is warranted to enable integration of environmental considerations into HTA and clinical and public health guidelines.

Electronic surveillance of patient safety events using natural language processing.

OBJECTIVE: We describe our approach to surveillance of reportable safety events captured in hospital data including free-text clinical notes. We hypothesize that a) some patient safety events are documented only in the clinical notes and not in any other accessible source; and b) large-scale abstraction of event data from clinical notes is feasible. MATERIALS AND METHODS: We use regular expressions to generate a training data set for a machine learning model and apply this model to the full set of clinical notes and conduct further review to identify safety events of interest. We demonstrate this approach on peripheral intravenous (PIV) infiltrations and extravasations (PIVIEs). RESULTS: During Phase 1, we collected 21,362 clinical notes, of which 2342 were reviewed. We identified 125 PIV events, of which 44 cases (35%) were not captured by other patient safety systems. During Phase 2, we collected 60,735 clinical notes and identified 440 infiltrate events. Our classifier demonstrated accuracy above 90%. CONCLUSION: Our method to identify safety events from the free text of clinical documentation offers a feasible and scalable approach to enhance existing patient safety systems. Expert reviewers, using a machine learning model, can conduct routine surveillance of patient safety events.