Radically different
Background: Digital health data and infrastructure facilitate rapid analysis to provide actionable data, thereby fulfilling the principles of a learning health system. In response to a report from the UK Medicines and Healthcare Products Regulatory Agency (MHRA), a rapid service evaluation was carried out to identify patterns of modified-release (MR) opioid use after elective surgery. Objective: We aimed to describe the prescribing patterns of MR opioids, methods to repurpose existing infrastructure, and the experience of collaboration between clinical and research teams using shared data pipelines. Methods: A retrospective case-control study was conducted at a tertiary care organization across multiple hospital sites in London, United Kingdom. Prescription and administration data for adult patients undergoing elective surgery between March 31, 2019, and June 20, 2025, were extracted from a standardized research data pipeline within 4 weeks of the publication of the MHRA report. Patients were screened for MR opioid prescriptions in the postoperative period and at hospital discharge. Counts and proportions of encounters in which MR opioids were administered or prescribed were evaluated across the study period. Reflections on the application of the infrastructure for this purpose were also documented. Results: Of 126,882 elective surgeries screened, 102,879 (81.1%) met the eligibility criteria. Over the study period, patients received a new MR opioid prescription after 7525 (7.3%) of the 102,879 eligible encounters, with 2438 (2.4%) encounters receiving a new MR opioid prescription at hospital discharge. Postoperative administration of MR opioids and prescribing at discharge have declined since 2020. As a result of this study, a new context-aware alert system was developed to monitor and reduce MR opioid prescribing in this surgical cohort. Reflections on the implementation experience demonstrated how collaboration between clinical and research teams in conjunction with integrated and seamless research pipelines allowed rapid knowledge generation. Key issues raised were the difficulty of validation between parallel data extraction systems and how the two different teams compared nonequitable data points and results. Conclusions: Mature digital and analytical infrastructure within health care institutions can enable swift evaluation of local practices in the context of national medication safety alerts. This can shorten action response times and improve patient care but requires close collaboration between clinicians and research teams. Shared infrastructure between teams across the learning health system improves data quality and provides easy access to the key users. Further work is needed to understand the benefits and challenges of infrastructure built for other use cases and the effectiveness of the intervention.
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Background: Virtual reality (VR) is increasingly used for adjunctive relaxation training in psychiatric care. However, evidence remains limited among hospitalized patients with depressive disorders, particularly in routine inpatient settings in China, and little is known about whether improvement varies by session frequency. Objective: This retrospective study examined whether adjunctive VR-based relaxation training was associated with changes in depressive and anxiety symptoms among inpatients with depressive disorders and whether improvement differed by session frequency. Methods: We conducted a retrospective, nonrandomized natural-group comparison using complete anonymized medical records from patients hospitalized in Lishui Second People’s Hospital between January 1 and December 31, 2022. Patients met () diagnostic criteria for depressive episodes or recurrent depressive disorders and were screened using predefined criteria. The analytic sample included 133 inpatients: 63 (47.4%) received adjunctive VR-based relaxation training plus usual care and 70 (52.6%) received usual care only. Usual care included pharmacotherapy and physiotherapy. The VR intervention consisted of 25-minute immersive relaxation sessions delivered approximately 3 times per week. Symptoms were assessed at admission and discharge using the 17-item Hamilton Depression Scale and Hamilton Anxiety Rating Scale. Response was defined as a reduction of 50% or more from baseline, and remission was defined as a total score of 7 or less. Baseline characteristics, outcome scores, response and remission rates, and exploratory session-frequency subgroups were compared. All analyzed variables were checked against complete medical records; no missing values were identified, and no imputation was performed. Results: The VR and control groups did not differ significantly in baseline depressive or anxiety scores. At discharge, adjunctive VR-based relaxation training was associated with lower depressive and anxiety symptom scores than usual care alone. The VR group also showed higher response rates for both depressive and anxiety symptoms and a higher anxiety remission rate, whereas depression remission was similar. Exploratory session-frequency analyses suggested that anxiety improvement may be more consistently associated with VR exposure than depression remission; however, the pattern was not strictly linear and should be interpreted cautiously because treatment frequency was linked to hospitalization duration and routine care factors. Conclusions: This study is innovative in evaluating structured VR-based relaxation training as an adjunct to routine inpatient depression care and in providing preliminary observations on session-frequency patterns in a real-world Chinese psychiatric setting. Unlike many previous VR studies conducted in noninpatient, nonclinical, or short-term experimental contexts, this study reflects everyday clinical practice among hospitalized patients with depressive disorders. The findings contribute practical evidence for integrating immersive relaxation into comprehensive inpatient care, particularly when additional anxiety relief is desired. Because the study was retrospective and nonrandomized, the findings indicate associations rather than causal effects and should be confirmed in prospective randomized controlled trials.
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Background: Digital health offers opportunities to facilitate symptom assessments and communication for children with cancer, particularly after discharge. However, access to these tools must be established to ensure that they effectively support the user. PicPecc (Pictorial Support in Person-Centered Care for Children) is a mobile health tool developed to enable children to remotely assess symptoms and communicate with health care professionals. Understanding access to PicPecc is essential for evaluating its use in pediatric oncology. Objective: The aim was to test a digital intervention with PicPecc in pediatric oncology care through the lens of access to technology. Methods: This study uses a triangulation approach to determine access to digital technology through an intervention, PicPecc outside hospital. Fourteen children (6‐17 y), 5 parents, and 6 nurses from 2 pediatric oncology units in Sweden participated. Children were encouraged to use PicPecc for 2 weeks (achieving a median of 14, IQR 9.75-16 days) following hospital discharge to assess pain, nausea, sleep disturbances, and feelings using an assessment scale, pictures, personal notes, and a chat function. Nurses monitored assessments and responded via the administrative interface. Access was analyzed through interviews and an instrument, and by recording the consumption of PicPecc. Data analysis was based on the 5 dimensions of access (availability, accessibility, accommodation, affordability, and acceptability). Results: The intervention, PicPecc outside hospital, supported availability by enabling children to communicate symptoms in a safe and structured way. Children and parents mentioned feeling safe when they were discharged from the hospital, and nurses perceived it as a valuable complement to follow-up after discharge. PicPecc outside hospital was generally accessible, although initial challenges with log-in procedures related to the PIN code were common. Barriers related to accommodation included interpreting the scale and obtaining an overview of assessments. Affordability was high, as internet access and device availability were not barriers; however, children’s motivation varied depending on symptom burden. Acceptability was strong among children up to 12 years of age, who appreciated the design and gaming function, while the older children found the visual design less age-appropriate. Conclusions: Access to the mobile health tool, PicPecc outside hospital, appears promising for supporting remote symptom assessment in pediatric oncology, particularly among children up to 12 years of age. However, identified barriers, such as motivational factors and integration into the health care system, need to be addressed.
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Dozens of congressional lawmakers are urging the Trump administration to force Eli Lilly to reinstate mandated price breaks to hospitals that participate in a federal drug discount program but have refused to provide the company with claims data.
In a letter to Department of Health and Human Services Secretary Robert F. Kennedy Jr., the bipartisan group of lawmakers argued that Lilly is failing to comply with federal law by eliminating the price breaks. The drugmaker stopped offering discounts last month to reduce what it calls duplicate discounts paid to the hospitals.
At the time, Lilly targeted 50 larger hospital systems among approximately 1,000 hospitals that had not complied with a new policy that was announced this year. The company maintained that roughly 70% of the hospitals that participate in the discount program, or more than 2,300, had previously provided claims data.