Choosing Wisely in Adult Hospital Medicine: Co-creation of New Recommendations for Improved Healthcare Value by Clinicians and Patient Advocates

Effectiveness of Acupressure on Sleep Quality Among Inpatients: A Systematic Review and Meta-Analysis

Sleep quality in adult inpatients is frequently and severely disturbed by various factors such as noise, pain, and unfamiliar surroundings, which can impair disease recovery. Acupressure is widely used to improve sleep quality in hospitalized patients, but its overall effectiveness is unclear. This meta-analysis aims to analyze the efficacy of acupressure therapy on sleep quality and sleep parameters in adult inpatients. Eight electronic databases were searched for randomized controlled trials published before April 2024. Two researchers independently screened, assessed, and extracted data from the included studies. A total of 41 studies involving 3680 subjects were included. The meta-analysis showed a significant difference between the acupressure and control groups in sleep quality (SMD = -1.58, 95% CI [-1.85, -1.31]), total sleep time (SMD = 1.12, 95% CI [0.40, 1.83]), sleep efficiency (SMD = 0.90, 95% CI [0.29, 1.52]), sleep onset latency (SMD = -0.73, 95% CI [-1.14, -0.33]), and wake after sleep onset (SMD = -1.32, 95% CI [-2.55, -0.09]). The meta-regression results suggested that the number of sessions daily and the duration of each session were significant factors influencing heterogeneity. Acupressure is an effective intervention to improve sleep quality and sleep parameters in inpatients.

Monitoring low-value care in medical patients from Swiss university hospitals using a Findable, Accessible, Interoperable, Reusable (FAIR) national data stream and patient and public involvement: LUCID study protocol

INTRODUCTION

Healthcare practices providing minimal or no benefit to recipients have been estimated to represent 20% of healthcare costs. However, defining, measuring and monitoring low-value care (LVC) and its downstream consequences remain a major challenge. The purpose of the National Data Stream (LUCID NDS) is to identify and monitor LVC in medical inpatients using routinely collected hospital data.

METHODS AND ANALYSIS

This protocol describes a multistep approach to the identification and surveillance of LVC: (1) creating an NDS based on Findable, Accessible, Interoperable, Reusable (FAIR) principles using routinely collected hospital data from medical inpatients who signed a general consent for data reuse from 2014 onwards; (2) selecting recommendations applicable to medical inpatients using data from LUCID NDS to develop a comprehensive and robust set of LVC indicators; (3) establishing expert consensus on the most relevant and actionable recommendations to prevent LVC; (4) applying the Strength of Recommendation Taxonomy methodology to assess the level of evidence of recommendations; (5) involving patients and the public at various stages of LUCID NDS; and (6) designing monitoring rules within the LUCID NDS and validating quality measures.

ETHICS AND DISSEMINATION

The ethics committees of all five participating university hospitals (Basel, Bern, Geneva, Lausanne and Zurich) approved LUCID NDS as a national registry on quality of care. We will disseminate our findings in peer-reviewed journals, at professional conferences, and through short reports sent to participating entities and stakeholders; moreover, lay summaries are provided for patients and the broader public on our webpage (www.LUCID-nds.ch).

Validation of the International Medical Prevention Registry on Venous Thromboembolism (IMPROVE) risk scores for venous thromboembolism and bleeding in an independent population

Background

Multiple guidelines recommend assessment of bleeding and venous thromboembolism (VTE) risk in adult medical inpatients to inform prevention strategies. There is no agreed-upon method for VTE and bleeding risk assessment.

Objectives

To validate the International Medical Prevention Registry on Venous Thromboembolism (IMPROVE) VTE and bleeding risk scores in an independent population.

Methods

In this retrospective study, we calculated the IMPROVE VTE and bleeding risk scores in medical inpatients admitted between 2010 and 2019 at the University of Vermont Medical Center (UVMMC). Patients were followed for in-hospital bleeding events while hospitalized and VTE events while hospitalized and for 3 months after discharge. We assessed calibration of the risk models by comparing the observed incidence of events in the UVMMC and IMPROVE populations across the published risk categories. We also assessed performance of the IMPROVE risk factors after refitting the models in the UVMMC population. Discrimination was assessed using the area under the receiver operating characteristic curve (AUC).

Results

VTE occurred in 270 (1.1%) of 23,873 admissions, with 92 (34%) occurring during admission, and bleeding occurred in 712 (4.7%) of 15,240 admissions. When the IMPROVE-VTE risk factors were refitted to the UVMMC data, the AUC was 0.64. When the IMPROVE bleeding risk factors were refitted to the UVMMC data, the AUC was 0.67. The IMPROVE-VTE score tended to overestimate risk at higher scores, and the IMPROVE bleeding score underestimated risk at lower scores and overestimated risk at higher scores.

Conclusion

While the refitted IMPROVE VTE and bleeding risk scores had reasonable model fit, the scores were poorly calibrated and did not reliably identify or differentiate patients at risk for VTE and bleeding. Different methods are needed for risk assessment of medical inpatients for VTE and bleeding risk.

Multicomponent processes to identify and prioritise low-value care in hospital settings: a scoping review

OBJECTIVES

This scoping review mapped and synthesised original research that identified low-value care in hospital settings as part of multicomponent processes.

DESIGN

Scoping review.

DATA SOURCES

Electronic databases (EMBASE, PubMed, CINAHL, PsycINFO and Cochrane CENTRAL) and grey literature were last searched 11 July and 3 June 2022, respectively, with no language or date restrictions.

ELIGIBILITY CRITERIA

We included original research targeting the identification and prioritisation of low-value care as part of a multicomponent process in hospital settings.

DATA EXTRACTION AND SYNTHESIS

Screening was conducted in duplicate. Data were extracted by one of six authors and checked by another author. A framework synthesis was conducted using seven areas of focus for the review and an overuse framework.

RESULTS

Twenty-seven records were included (21 original studies, 4 abstracts and 2 reviews), originating from high-income countries. Benefit or value (11 records), risk or harm (10 records) were common concepts referred to in records that explicitly defined low-value care (25 records). Evidence of contextualisation including barriers and enablers of low-value care identification processes were identified (25 records). Common components of these processes included initial consensus, consultation, ranking exercise or list development (16 records), and reviews of evidence (16 records). Two records involved engagement of patients and three evaluated the outcomes of multicomponent processes. Five records referenced a theory, model or framework.

CONCLUSIONS

Gaps identified included applying systematic efforts to contextualise the identification of low-value care, involving people with lived experience of hospital care and initiatives in resource poor contexts. Insights were obtained regarding the theories, models and frameworks used to guide initiatives and ways in which the concept 'low-value care' had been used and reported. A priority for further research is evaluating the effect of initiatives that identify low-value care using contextualisation as part of multicomponent processes.

Methodological progress note: De-implementation of low-value care

De-implementation is the process of reducing or stopping the use of ineffective, harmful, or low-value healthcare services that provide little or no benefit to patients. This article reviews relevant frameworks for planning and evaluating de-implementation initiatives, describes unique barriers, and provides effective strategies for de-implementation in Hospital Medicine.

Initiative to reduce inappropriate venous thromboembolism prophylaxis in an 11-hospital safety net system: An electronic health records-based approach

BACKGROUND

While pharmacologic prophylaxis has benefits for venous thromboembolism (VTE) prevention in high-risk patients, unnecessary use carries potential harm, including bleeding, heparin-induced thrombocytopenia, and patient discomfort, and should be avoided in low-risk patients. While many quality improvement initiatives aim to reduce underuse, successful models on reducing overuse are sparse in the literature.

OBJECTIVE

We aimed to create a quality improvement initiative to reduce overuse of pharmacologic VTE prophylaxis.

DESIGNS, SETTINGS AND PARTICIPANTS

A quality improvement initiative was implemented across 11 safety net hospitals in New York City.

INTERVENTION

The first electronic health record (EHR) intervention consisted of a VTE order panel that facilitated risk assessment and recommended VTE prophylaxis for high-risk patients only. The second EHR intervention used a best practice advisory that alerted clinicians when prophylaxis was ordered for a patient previously deemed "low risk." Prescribing rates were compared through a three-segment interrupted time series linear regression design.

RESULTS

Compared to the preintervention period, the first intervention did not change the rate of total pharmacologic prophylaxis immediately after implementation (1.7% relative change, p = .38) or over time (slope difference of 0.20 orders per 1000 patient days, p = .08). Compared to the first intervention period, the second intervention led to an immediate 4.5% reduction in total pharmacologic prophylaxis (p = .04) but increased thereafter (slope difference of 0.24, p = .03) such that weekly rates at the end of the study were similar to rates prior to the second intervention.

Toward equitable open research: stakeholder co-created recommendations for research institutions, funders and researchers

Open Research aims to make research more accessible, transparent, reproducible, shared and collaborative. Doing so is meant to democratize and diversify access to knowledge and knowledge production, and ensure that research is useful outside of academic contexts. Increasing equity is therefore a key aim of the Open Research movement, yet mounting evidence demonstrates that the practices of Open Research are implemented in ways that undermine this. In response, we convened a diverse community of researchers, research managers and funders to co-create actionable recommendations for supporting the equitable implementation of Open Research. Using a co-creative modified Delphi method, we generated consensus-driven recommendations that address three key problem areas: the resource-intensive nature of Open Research, the high cost of article processing charges, and obstructive reward and recognition practices at funders and research institutions that undermine the implementation of Open Research. In this paper, we provide an overview of these issues, a detailed description of the co-creative process, and present the recommendations and the debates that surrounded them. We discuss these recommendations in relation to other recently published ones and conclude that implementing ours requires 'global thinking' to ensure that a systemic and inclusive approach to change is taken.