Provider Workload Research Articles

Patient-Centered Care Models in Primary Healthcare: A Systematic Review of Implementation and Outcomes

This systematic review evaluates the implementation and outcomes of patient-centered care (PCC) models in primary healthcare settings. Patient-centered care is a foundational approach in primary healthcare, emphasizing patient preferences, needs, and values to improve the quality of care and health outcomes. A comprehensive literature search was conducted across PubMed, Cochrane, and MEDLINE databases, focusing on studies that assessed the impact of PCC models such as the Patient-Centered Medical Home (PCMH) and shared decision-making. Forty studies met the inclusion criteria, covering a range of patient populations and healthcare settings. Findings indicate that PCC models enhance patient satisfaction, improve health outcomes, and increase patient engagement in care. Additionally, these models positively impact provider satisfaction and may reduce healthcare costs by lowering emergency visits and hospitalizations. However, challenges in implementation, including provider workload and resource needs, were commonly reported. This review underscores the effectiveness of PCC models in primary care and highlights the need for structured, resource-supported implementation strategies. Further research is recommended to optimize PCC approaches across diverse populations and healthcare systems.

Implementation of an electronic patient portal in routine mental health care of hospitals in Germany – evaluation of attitudes of healthcare providers

BackgroundThe use of digital tools such as electronic patient portals in different health care disciplines and settings has been increasing, but the rate of implementation in clinical practice still lags behind expectations. While studies have linked the use of electronic patient portals to positive health outcomes for patients, studies addressing the viewpoints of healthcare providers are rare.MethodsWe performed an online survey of attitudes of healthcare providers towards an electronic patient portal for mental health hospitals. The portal was developed by five communal providers of mental health care in different regions in Germany. The survey was carried out during the early phase of implementation of the portal.ResultsTwenty project leaders and 37 clinicians from five different mental health hospitals answered the questionnaire (response rate: 45% and 28%). Overall, acceptance of online applications among respondents was high. The healthcare providers mentioned perceived benefits (e.g. accessibility of new patient groups, use of therapy-free periods) as well as a number of technical, structural, organizational and staffing barriers for successful implementation in hospital settings (e.g. workload of healthcare providers and lack of staff, limited digital competences, unstable WLAN).ConclusionThe perceived barriers and facilitators of the implementation of online applications and electronic patient portals in mental health hospitals identified by healthcare providers may be taken into account. Improving commitment of the healthcare providers to implementation and use of digital interventions may help foster digitalisation in mental health hospitals.

From Headache to Handled: Advanced In-Basket Management System in Primary Care Clinics Reduces Provider Workload Burden and Self-Reported Burnout.

The electronic health record (EHR) has been associated with provider burnout, exacerbated by increasing In-Basket burden. We sought to study the impact of implementing a team-based approach to In-Basket management on a series of primary care ambulatory sites. We performed a workflow analysis of the transition to the Advanced In-Basket Management (AIM) nurse team triage for six family medicine clinic locations in a large health system. We abstracted and analyzed associated provider workflow metrics from our EHR. We conducted a postintervention provider survey on satisfaction with the AIM project and provider burnout. The AIM project was implemented in six family medicine clinics after provider townhalls and workgroup development. A nurse team curriculum was created using the principles of "maturing the message" before sending it to a provider and "only handle it once" to improve response efficiency. Provider workload metrics abstracted from the EHR demonstrated 12.2 fewer In-Basket messages per provider per day (p < 0.05), 6.3 fewer minutes per provider per day worked outside scheduled hours (p < 0.05), 3.5 fewer minutes spent in the In-Basket per provider per day (p < 0.05), but 13.7 more seconds spent per completed message per provider (p = 0.017), likely attributable to increased message complexity. Sixty-four percent of providers reported no burnout symptoms in a postintervention survey, 56% agreed that the AIM project reduced their burnout, and approximately 70% of providers agreed that the AIM project was acceptable and appropriate for their clinic. The AIM project demonstrates team-based nurse In-Basket triage is possible to implement across multiple primary care sites, is an acceptable intervention for providers, can reduce provider workload burden and self-reported provider burnout.

Practice-Based Implementation Network: Behavioral Health Technician Optimization Pilot Lessons Learned.

Between June 2021 and December 2022, the Practice-Based Implementation (PBI) Network conducted a pilot to study the optimization of behavioral health technicians (BHTs) within military behavioral health (BH) care system specialty BH clinics. Behavioral health technicians are paraprofessionals found in all branches of the military, and with training across a variety of clinic functions. Behavioral health technicians support BH specialty providers in many clinic functions (i.e., administrative, case management, clinical, and outreach). The primary aim of the BHT optimization pilot was to increase BHTs' involvement in clinical care. Four military BH outpatient clinics participated in the BHT optimization pilot. Participants from the 4 clinics included 12 BHTs, 3 providers, 3 internal facilitators, and 3 dual-role providers/internal facilitators. The pilot asked each clinic to assess their BHT utilization needs, and then barriers and facilitators to BHT optimization were addressed by creating site-specific BHT optimization plans. The degree to which clinic optimization of BHTs impacts provider workload, clinic capability or capacity, and patient access to evidence-based care could not be determined during the BHT optimization pilot. However, individualized clinic BHT optimization plans and strategies appeared to be feasible and acceptable methods for military health system BH clinics to optimize BHTs' clinical skills. Lessons learned from this pilot included that: (1) clinics should consider establishing and maintaining action plans with specific, actionable goals for use of BHTs, and (2) BHT supervision, training, and clinic processes supporting optimization should be prioritized despite time constraints. Overall, individualized clinic BHT optimization plans and strategies appear to be feasible and acceptable methods for military health system BH clinics to optimize BHTs' clinical skills.

Adolescent girls and young women’s (AGYW) access to and use of contraception services in Cape Town: perspectives from AGYW and health care providers

BackgroundAccess and use of contraception services by adolescent girls and young women (AGYW) remains suboptimal, exposing AGYW to early and often unexpected pregnancy. Unexpected pregnancies are a public health concern, associated with poor neonatal and maternal health outcomes, as well as school dropout, which may result in economic hardships. This study aimed to explore (a) AGYW perceptions and experiences of receiving contraception services from health care providers and (b) health care providers’ perceptions and experiences of providing contraception services to AGYW.MethodsData were collected through semi-structured individual interviews with AGYW aged 15–24 years old and health care providers working in eight health care facilities around the Cape Town metropolitan area, in South Africa’s Western Cape Province. Thematic analysis was used to analyse the data.ResultsAGYW and health care providers voiced varying, and often contrasting, perceptions of some of the barriers that hinder AGYW’s access to contraception services. AGYW indicated that provider-imposed rules about when to access contraceptive services hindered access, while health care providers felt that these rules were necessary for coordinating their work. In addition, AGYW highlighted health care providers’ hostile attitudes towards them as an important factor discouraging access. On the contrary, health care providers did not think that their attitudes hampered AGYW’s access to and use of contraception services, instead they emphasised that challenges at the health system level were a major issue, which they feel they have little control over. Such challenges made health care providers’ work unpleasant and frustrating, impacting on their work approach and how they receive and offer services to AGYW.ConclusionThe expectation of negative attitudes from health care providers continues to be at the centre of AGYW discouragement towards accessing contraception services. System challenges are among some of the key drivers of health care provider’s hostile attitudes, posing challenges to the efficient provision of services. In order to improve AGYW’s access to and use of contraception services, and subsequently achieve the country’s SDGs, conscious efforts need to be directed towards improving the workload and working conditions of health care providers.

Sticker-Type Remote Monitoring System for Early Risk Detection of Catheter Associated Urinary Tract Infections.

A substantial number of critically ill patients in intensive care units (ICUs) rely on indwelling urinary catheters (IDCs), demanding regular monitoring of urine bags. This process increases the workload for healthcare providers and elevates the risk of exposure to contagious diseases. Moreover, IDCs are a primary cause of catheter-associated urinary tract infections (UTIs) in ICU patients whose delayed detection can have life-threatening complications. To address this, we have developed a Sticker Type Antenna for Remote Sensing (STARS) system capable of measuring urine flow rate and conductivity as early-risk markers for UTIs, alongside tracking patients' urine bag status to facilitate medical automation for healthcare providers. STARS comprises a simple, low-cost, disposable antenna module for contactless measurements of urine volume and conductivity, and a reusable wireless module for real-time data transmission. Systematic studies on STARS revealed its stable performance within physiologically relevant ranges of urine volume (0 to 2000 ml) and conductivity (5 to 40 mS/cm) in urine bags. As a proof-of-concept, STARS was tested in artificially created healthy and infected urine specimens to validate its non-contact sensing performance in detecting the onset of UTIs in catheterized patients within a hospital-like environment. STARS represents the first application of a real-time, contactless, wireless monitoring platform for simultaneous urine bag management and early risk detection of UTIs.

Multi‐model deep learning system for screening human monkeypox using skin images

AbstractPurposeHuman monkeypox (MPX) is a viral infection that transmits between individuals via direct contact with animals, bodily fluids, respiratory droplets, and contaminated objects like bedding. Traditional manual screening for the MPX infection is a time‐consuming process prone to human error. Therefore, a computer‐aided MPX screening approach utilizing skin lesion images to enhance clinical performance and alleviate the workload of healthcare providers is needed. The primary objective of this work is to devise an expert system that accurately classifies MPX images for the automatic detection of MPX subjects.MethodsThis work presents a multi‐modal deep learning system through the fusion of convolutional neural network (CNN) and machine learning algorithms, which effectively and autonomously detect MPX‐infected subjects using skin lesion images. The proposed framework, termed MPXCN‐Net is developed by fusing deep features of three pre‐trained CNNs: MobileNetV2, DarkNet19, and ResNet18. Three classifiers—K‐nearest neighbour, support vector machine (SVM), and ensemble classifier—with various kernel functions, are used to identify infected patients. To validate the efficacy of our proposed system, we employ a publicly accessible MPX skin lesion dataset.ResultsBy amalgamating features extracted from all three CNNs and utilizing the medium Gaussian kernel of the SVM classifier, our proposed system achieves an outstanding average classification accuracy of 90.4%.ConclusionsDeveloped MPXCN‐Net is suitable for testing with a large diversified dataset before being used in clinical settings.

Noncontact Sensors for Vital Signs Measurement: A Narrative Review.

Vital signs are crucial for monitoring changes in patient health status. This review compared the performance of noncontact sensors with traditional methods for measuring vital signs and investigated the clinical feasibility of noncontact sensors for medical use. We searched the Medical Literature Analysis and Retrieval System Online (MEDLINE) database for articles published through September 30, 2023, and used the key search terms "vital sign," "monitoring," and "sensor" to identify relevant articles. We included studies that measured vital signs using traditional methods and noncontact sensors and excluded articles not written in English, case reports, reviews, and conference presentations. In total, 129 studies were identified, and eligible articles were selected based on their titles, abstracts, and full texts. Three articles were finally included in the review, and the types of noncontact sensors used in each selected study were an impulse radio ultrawideband radar, a microbend fiber-optic sensor, and a mat-type air pressure sensor. Participants included neonates in the neonatal intensive care unit, patients with sleep apnea, and patients with coronavirus disease. Their heart rate, respiratory rate, blood pressure, body temperature, and arterial oxygen saturation were measured. Studies have demonstrated that the performance of noncontact sensors is comparable to that of traditional methods of vital signs measurement. Noncontact sensors have the potential to alleviate concerns related to skin disorders associated with traditional skin-contact vital signs measurement methods, reduce the workload for healthcare providers, and enhance patient comfort. This article reviews the medical use of noncontact sensors for measuring vital signs and aimed to determine their potential clinical applicability.

A bundle of opioid-sparing strategies to eliminate routine opioid prescribing in a urogynecology practice

BackgroundCurrent evidence supports that many patients do not use prescribed opioids following reconstructive pelvic surgery, yet it remains unclear if it is feasible to eliminate routine opioid prescriptions without a negative impact on patients or providers. ObjectiveTo determine if there is a difference in the proportion of patients discharged without opioids after implementing a bundle of opioid-sparing strategies and tiered prescribing protocol (BOSS) compared to usual care after minimally invasive pelvic reconstructive surgery (transvaginal, laparoscopic or robotic). Secondary objectives include measures of patient-perceived pain control and provider workload. Study DesignThe BOSS intervention was implemented as a division-wide evidence-based practice change on August 1, 2022. This retrospective cohort compares a 6-month post-intervention (BOSS) cohort to 6- month pre-intervention (usual care) of patients undergoing minimally invasive pelvic reconstructive surgery. A 3-month wash out period was observed after BOSS initiation. We excluded patients <18 years, failure to consent to research, combined surgery with other specialties, urge urinary incontinence or urinary retention procedures alone, and minor procedures not typically requiring opioids. Primary outcome was measured by proportion discharged without opioids and total oral morphine equivalents (OME) prescribed. Pain control was measured by pain scores, post-discharge prescriptions and refills, phone calls and visits related to pain, and satisfaction with pain control. Provider workload was demonstrated by phone calls and post-discharge prescription refills. Data were obtained through chart review on all patients who met inclusion criteria. Primary analysis only included patients prescribed opioids according to the BOSS protocol. Two sample t tests compared continuous variables and chi-square tests compared categorical variables. Results416 patients were included in the primary analysis (207 BOSS, 209 Usual Care). Baseline demographics were similar between groups, except a lower proportion of IBS (13% vs 23%; p<0.01) and pelvic pain (15% vs 24.9%; p=0.01), and higher history of prior gynecologic surgery (69.1% vs 58.4%; p=0.02) in the BOSS cohort. The BOSS cohort was more likely to be discharged without opioids (68.1% vs 10.0%; p<.01). In those prescribed opioids, total OME on discharge was significantly lower in the BOSS cohort (48.1 vs 81.8; p<.01). The BOSS cohort had a 20.6 greater odds (CI 11.4, 37.1) of being discharged without opioids after adjusting for surgery type, arthritis/joint pain, IBS, pelvic pain, and contraindication to NSAIDs. The BOSS cohort was also less likely to receive a rescue opioid prescription after discharge (1.4% vs 9.5%; p=0.03). There were no differences in opioid prescription refills (19.7% vs 18.1%; p=0.77), emergency room visits for pain (3.4% vs 2.9%; p=0.76), postoperative pain scores (mean 4.7 vs 4.0; p=0.07), or patient satisfaction with pain control (81.5% vs 85.6%; p=0.21). After BOSS implementation, the proportion of postoperative phone calls for pain also decreased (12.6% vs 21.5%; p=0.02). Similar results were identified when non-adherent prescribing was included in the analysis. ConclusionsA bundle of evidence-based opioid sparing strategies and tiered prescribing based on inpatient use increases the proportion of patients discharged without opioids after minimally invasive pelvic reconstructive surgery without evidence of uncontrolled pain or increased provider workload.

Clinical Efficacy and Safety of an Automatic Closed-Suction System in Mechanically Ventilated Patients with Pneumonia: A Multicenter, Prospective, Randomized, Non-Inferiority, Investigator-Initiated Trial.

Endotracheal suctioning is an essential but labor-intensive procedure, with the risk of serious complications. A brand new automatic closed-suction device was developed to alleviate the workload of healthcare providers and minimize those complications. We evaluated the clinical efficacy and safety of the automatic suction system in mechanically ventilated patients with pneumonia. In this multicenter, randomized, non-inferiority, investigator-initiated trial, mechanically ventilated patients with pneumonia were randomized to the automatic device (intervention) or conventional manual suctioning (control). The primary efficacy outcome was the change in the modified clinical pulmonary infection score (CPIS) in 3 days. Secondary outcomes were the frequency of additional suctioning and the amount of secretion. Safety outcomes included adverse events or complications. A total of 54 participants, less than the pre-determined number of 102, were enrolled. There was no significant difference in the change in the CPIS over 72 h (-0.13 ± 1.58 in the intervention group, -0.58 ± 1.18 in the control group, p = 0.866), but the non-inferiority margin was not satisfied. There were no significant differences in the secondary outcomes and safety outcomes, with a tendency for more patients with improved tracheal mucosal injury in the intervention group. The novel automatic closed-suction system showed comparable efficacy and safety compared with conventional manual suctioning in mechanically ventilated patients with pneumonia.

Person-Generated Health Data in Women's Health: Scoping Review.

The increased pervasiveness of digital health technology is producing large amounts of person-generated health data (PGHD). These data can empower people to monitor their health to promote prevention and management of disease. Women make up one of the largest groups of consumers of digital self-tracking technology. In this scoping review, we aimed to (1) identify the different areas of women's health monitored using PGHD from connected health devices, (2) explore personal metrics collected through these technologies, and (3) synthesize facilitators of and barriers to women's adoption and use of connected health devices. Following the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines for scoping reviews, we searched 5 databases for articles published between January 1, 2015, and February 29, 2020. Papers were included if they targeted women or female individuals and incorporated digital health tools that collected PGHD outside a clinical setting. We included a total of 406 papers in this review. Articles on the use of PGHD for women steadily increased from 2015 to 2020. The health areas that the articles focused on spanned several topics, with pregnancy and the postpartum period being the most prevalent followed by cancer. Types of digital health used to collect PGHD included mobile apps, wearables, websites, the Internet of Things or smart devices, 2-way messaging, interactive voice response, and implantable devices. A thematic analysis of 41.4% (168/406) of the papers revealed 6 themes regarding facilitators of and barriers to women's use of digital health technology for collecting PGHD: (1) accessibility and connectivity, (2) design and functionality, (3) accuracy and credibility, (4) audience and adoption, (5) impact on community and health service, and (6) impact on health and behavior. Leading up to the COVID-19 pandemic, the adoption of digital health tools to address women's health concerns was on a steady rise. The prominence of tools related to pregnancy and the postpartum period reflects the strong focus on reproductive health in women's health research and highlights opportunities for digital technology development in other women's health topics. Digital health technology was most acceptable when it was relevant to the target audience, was seen as user-friendly, and considered women's personalization preferences while also ensuring accuracy of measurements and credibility of information. The integration of digital technologies into clinical care will continue to evolve, and factors such as liability and health care provider workload need to be considered. While acknowledging the diversity of individual needs, the use of PGHD can positively impact the self-care management of numerous women's health journeys. The COVID-19 pandemic has ushered in increased adoption and acceptance of digital health technology. This study could serve as a baseline comparison for how this field has evolved as a result. RR2-10.2196/26110.

Predicting Provider Workload Using Predicted Patient Risk Score and Social Determinants of Health in Primary Care Setting.

Provider burnout due to workload is a significant concern in primary care settings. Workload for primary care providers encompasses both scheduled visit care and non-visit care interactions. These interactions are highly influenced by patients' health conditions or acuity, which can be measured by the Adjusted Clinical Group (ACG) score. However, new patients typically have minimal health information beyond social determinants of health (SDOH) to determine ACG score. This study aims to assess new patient workload by first predicting the ACG score using SDOH, age, and gender and then using this information to estimate the number of appointments (scheduled visit care) and non-visit care interactions. Two years of appointment data were collected for patients who had initial appointment requests in the first year and had the ACG score, appointment, and non-visit care counts in the subsequent year. State-of-art machine learning algorithms were employed to predict ACG scores and compared with current baseline estimation. Linear regression models were then used to predict appointments and non-visit care interactions, integrating demographic data, SDOH, and predicted ACG scores. The machine learning methods showed promising results in predicting ACG scores. Besides the decision tree, all other methods performed at least 9% better in accuracy than the baseline approach which had an accuracy of 78%. Incorporating SDOH and predicted ACG scores also significantly improved the prediction for both appointments and non-visit care interactions. The R 2 values increased by 95.2 and 93.8%, respectively. Furthermore, age, smoking tobacco, family history, gender, usage of injection birth control, and ACG were significant factors for determining appointments. SDOH factors such as tobacco usage, physical exercise, education level, and group activities were strongly correlated with non-visit care interactions. The study highlights the importance of SDOH and predicted ACG scores in predicting provider workload in primary care settings.

A Single-resident Experience of Overnight Call Activity at a Multi-site Academic Health System

BackgroundAfter-hours clinical coverage models vary significantly by specialty and institution. Coverage decisions must balance quality clinical care with a safe provider workload. Here, we characterize urology resident on-call activities overnight at a multi-site academic medical center and model the expected volume of clinical activity using inpatient beds, emergency room visits and attendings covered. Materials and MethodsOn-call activities for 70 thirteen-hour overnight shifts spanning five nonconsecutive months between May 2022 and February 2023 were recorded. Clinical coverage included five academic hospitals encompassing 1,761 staffed inpatient beds and an expected nightly volume of 255 Emergency Department visits. The time, source, and clinical features of every call were documented. ResultsAn average of 15 unique calls were received during each shift. Of these, 35% required an in-person evaluation and 12% required a bedside or operative procedure. Approximately a third of calls (36%) were received after midnight. An in-person evaluation occurred within the first hour of 53% of shifts and every shift required at least one evaluation. When normalized for inpatient bed volume, an average of seven unique patient communications occurred per 1,000 beds, leading to two in-person evaluations. When normalized for an expected number of overnight ED visits, an average of one new ED consultation occurred per 100 ED visits. ConclusionsPatient needs were appropriately addressed by a single overnight on-call resident, providing a robust clinical experience. The volume of patient care activities in this experience supports the practice of a “night-float” resident with the clear expectation on-site care is required.

Exploring Healthcare Providers' and Women's Perspectives of Labor Companionship during Childbirth: An Interpretative Phenomenological Analysis Study.

A labor companion of choice during childbirth is crucial for improving women's birth experience and confidence to give birth. Labor companions provide various benefits, including enhanced communication, emotional support, non-pharmacological pain relief, and better healthcare. However, little is known about the supportive actions of labor companions with respect to women's needs during labor and birth, as well as healthcare providers' perceptions of labor companions. Therefore, this study was conducted to explore the perceptions of healthcare providers and women regarding labor companions. The study utilized an interpretative phenomenology research design. Data collection involved conducting semi-structured interviews with 14 participants. The sample consisted of mothers, physicians, and nurses, ensuring a diverse range of perspectives. An interpretative phenomenological analysis was conducted for data analysis. Five themes were identified: (a) impact of companionship, (b) benefits for healthcare providers, (c) companion roles, (d) loneliness and alienation of mothers, and (e) challenges of implementation. The findings indicated that the presence of a companion reduces the need for unnecessary medical interventions and eases the workload of healthcare providers. Without a companion, mothers often feel lonely and disconnected during the birthing process. The presence of companions is often hindered by space limitations in delivery rooms, the absence of clear policies, and lack of childbirth education programs for companions. Clear policies, education programs, and adequate space are essential for implementing and promoting labor companionship during childbirth.

Using Implementation Research to Inform Scaling of Parenting Programs: Independently Conducted Case Studies from Zambia and Bhutan.

Two case studies of parenting programs for parents of children 0 to 36 months of age, developed and implemented by Save the Children/Ministry of Health/Khesar Gyalpo University in Bhutan and UNICEF Zambia, were conducted by an independent research group. The focus was on how program delivery and scale-up were revised on the basis of feedback from implementation research. Feedback on workforce delivery quality was based on observations of deliveries using a monitoring form, as well as survey and interview data collected from the workforce. In-depth interviews with the resource team during the fourth year of implementation revealed how the feedback was used to address horizontal and vertical scaling. Delivery quality was improved in some cases by revising the delivery manual, offering refresher courses, and instituting regular monitoring. Scaling challenges in Zambia included slow progress with regard to reaching families in the two districts, which they addressed by trialing group sessions, and stemming workforce attrition. The challenges in Bhutan were low attendance and reducing the workload of providers. Vertical scaling challenges for both countries concerned maintaining demand through continuous advocacy at community and government levels to sustain financing and to show effectiveness in outcomes.

Engagement in GI Behavioral Health Is Associated with Reduced Portal Messages, Phone Calls, and ED Visits.

Chronic digestive disorders are associated with increased costs for healthcare systems and often require provision of both urgent care and non-face-to-face (non-F2F) care, such as responding to patient messages. Numerous benefits of integrated gastroenterology (GI) behavioral health have been identified; however, it is unclear if integrated care impacts healthcare utilization, including urgent care and non-F2F contact. We sought to investigate the association between patient engagement with GI behavioral health and healthcare utilization. We performed a retrospective chart review study of adult patients who were referred for and completed at least one behavioral health appointment between January 1, 2019 and December 21, 2021 in the Gastroenterology and Hepatology department of a large academic medical center. Data on electronic medical record (EMR) messages, phone calls, and Emergency Department utilization were collected 6months before and 9months after patient engagement with GI behavioral health. 466 adult patients completed at least one behavioral health visit from 2019 to 2021. Overall, messages, phone calls, and ED visits all decreased significantly from the 6months before behavioral health treatment to 6months after (all P values < 0.001). Engagement with integrated GI behavioral health is associated with reduced non-F2F care and emergency department utilization in patients with chronic digestive disorders. Increasing access to GI behavioral health may result in reduced provider workload and healthcare system costs.

Exploring COVID-19 patient's dignity and satisfaction: A cross-sectional study.

With the outbreak of COVID-19 and associated challenges such as increased workload for health providers and shortage of equipment, it became more challenging to maintain patients' dignity and satisfaction. This study evaluated the patients' dignity and satisfaction with COVID-19 in Kashan, Iran, in 2021. A cross-sectional descriptive study. In total, 385 patients recovered from COVID-19 were selected through sequential sampling method. Data were collected using demographic, patient dignity inventory, and patient satisfaction questionnaires. Data were analysed using descriptive analysis, independent t-test, ANOVA, and Spearman-Brown coefficient. The mean age of patients was 50.57. The mean scores of patients' dignity and satisfaction were 1.622 ± 0.653 and 3.851 ± 0.548 (out of 5), respectively. The dignity rating was associated with age, gender, education, underlying disease, and length of hospital stay (p < 0.05); but patient satisfaction was only associated with education (p = 0.002). The results indicated that dignity and satisfaction have a significant direct correlation (r = -0.23, p < 0.001). This study was designed based on the research priorities and needs in the field of clinical research and patients were involved in conducting the study via participating in data collection.

Facilitators and constraints to family integrated care in low-resource settings informed the adaptation in Uganda.

Family Integrated Care (FICare) was developed in high-income countries and has not been tested in resource-poor settings. We aimed to identify the facilitators and constraints that informed the adaptation of FICare to a neonatal hospital unit in Uganda. Maternal focus groups and healthcare provider interviews were conducted at Uganda's Jinja Regional Referral Hospital in 2020. Transcripts were analysed using inductive content analysis. An adaptation team developed Uganda FICare based on the identified facilitators and constraints. Participants included 10 mothers (median age 28 years) and eight healthcare providers (seven female, median age 41 years). Reducing healthcare provider workload, improving neonatal outcomes and empowering mothers were identified as facilitators. Maternal stress, maternal difficulties in learning new skills and mistrust of mothers by healthcare providers were cited as constraints. Uganda FICare focused on task-shifting important but neglected patient care tasks from healthcare providers to mothers. Healthcare providers learned how to respond to maternal concerns. Intervention material was adapted to prioritise images over text. Mothers familiar with FICare provided peer-to-peer support to other mothers. Uganda FICare shares the core values of FICare but was adapted to be feasible in low-resource settings.

(376) High Capability of ChatGPT to Answer Common Patient Questions on Vasectomy Reviewed by Sexual Medicine Specialists

Abstract Introduction Novel technologies utilizing artificial intelligence (AI) have shown their potential to reduce provider workload and improve task efficiency in certain clinical settings. ChatGPT is an AI-powered chatbot which utilizes natural language processing (NLP) technology to provide human-like responses to open-ended questions posed by users. Recent studies have shown ChatGPT’s ability to provide diabetes counseling in lieu of trained educators, and effectively communicate technical research papers in layman’s terms to patients. Vasectomy is a common urologic clinic procedure that can be a source of anxiety for patients, many of whom desire the opportunity for further pre-operative counseling. Objective The objective of this preliminary study was to evaluate the ability of ChatGPT to respond to common patient questions on vasectomy encountered by sexual medicine specialists. Methods We composed a list of 20 questions commonly asked by patients pertaining to vasectomy. The questions were submitted to ChatGPT Plus with the prompt: “Answer the following questions in 50 words or less”. 3 fellowship-trained sexual medicine specialists then rated the accuracy of ChatGPT’s responses on a scale from 1-5 (1 representing a completely inaccurate response and 5 representing a response in line with what they would recommend to patients). Scores were tabulated and summarized (Table 1). Descriptive statistics were performed. Weighted Cohen’s kappa was calculated to assess for interrater reliability. Results Median score across all 20 responses from 3 raters was 4.1 (IQR 1.3). The most common rating was 5, indicating a high level of agreement between ChatGPT’s responses and those of sexual medicine specialists. The lowest score assigned was 2 (indicating poor accuracy), and was received by 6 responses. Weighted Cohen’s kappa was 0.49, implying moderate agreement amongst raters. Overall, ChatGPT was able to provide relatively accurate and concise responses to these common questions. Conclusions Our results demonstrate the capability of using ChatGPT as a potentially reliable source of information for patients desiring vasectomy counseling. Given the high clinical volume faced by many vasectomy providers, ChatGPT could possibly improve patient satisfaction and reduce provider burden. Further collection of real-world data is needed to better assess the accuracy and reliability of ChatGPT’s responses. Sexual medicine specialists should be aware of the strengths and limitations of emerging AI technologies as a medium for providing accurate health information to patients. Disclosure Any of the authors act as a consultant, employee or shareholder of an industry for: Fellow, Posterity Health, Coloplast, Hims, Genentech.

Health-system specialty pharmacist intervention types, acceptance, and associated actions for patients with multiple sclerosis.

Health-system specialty pharmacy (HSSP) pharmacists play an integral role in the care of patients with multiple sclerosis (PwMS) by facilitating medication access, providing counseling, improving adherence, and decreasing provider workload. However, current literature detailing pharmacist interventions and their acceptance rates in this population is limited. The purpose of this study was to identify the types and acceptance rate of clinical interventions completed by pharmacists for PwMS. To evaluate the acceptance rate of HSSP pharmacist interventions, we conducted a retrospective, multicenter, observational, descriptive study for the period from October 2019 to August 2022. Intervention types were categorized into reasons for intervention, recommendations from the pharmacists, and their acceptance rates. For 225 patients enrolled in HSSP services, 449 interventions were completed, with an average of 2.0 interventions per patient. Most interventions identified were associated with medication adherence (28.7%), medication regimen (27.6%), adverse drug reaction (ADR) (20.7%), and laboratory values (15.1%). The average adherence, defined by the proportion of days covered, was 94%. The most common recommendations were to continue therapy (14.9%), schedule laboratory tests (12.7%), and follow up with providers (11.8%). Recommendations had an acceptance rate of 85.3%, with 3.8% of recommendations declined and 10.9% requiring follow-up with providers. Pharmacists impact patient outcomes through the completion of clinical interventions that improve adherence, identify medication regimen problems, manage ADRs, and coordinate proper laboratory testing. Pharmacist recommendations were most often accepted for interventions related to medication regimen and ADRs. Proper identification and management of medication regimen concerns, as well as tolerability of medications, can positively impact adherence and improve overall patient outcomes.