Inadequate acute hospital beds and the limits of primary care and prevention

Remote Vital Sign Monitoring in Admission Avoidance Hospital at Home: A Systematic Review

OBJECTIVES

To examine randomized controlled trials (RCTs) of "hospital at home" (HAH) for admission avoidance in adults presenting with acute physical illness to identify the use of vital sign monitoring approaches and evidence for their effectiveness.

DESIGN

Systematic review.

SETTING AND PARTICIPANTS

This review compared strategies for vital sign monitoring in admission avoidance HAH for adults presenting with acute physical illness. Vital sign monitoring can support HAH acute multidisciplinary care by contributing to safety, determining requirement of further assessment, and guiding clinical decisions. There are a wide range of systems currently available, including reliable and automated continuous remote monitoring using wearable devices.

METHODS

Eligible studies were identified through updated database and trial registries searches (March 2, 2016, to February 15, 2023), and existing systematic reviews. Risk of bias was assessed using the Cochrane risk of bias 2 tool. Random effects meta-analyses were performed, and narrative summaries provided stratified by vital sign monitoring approach.

RESULTS

Twenty-one eligible RCTs (3459 participants) were identified. Two approaches to vital sign monitoring were characterized: manual and automated. Reporting was insufficient in the majority of studies for classification. For HAH compared to hospital care, 6-monthly mortality risk ratio (RR) was 0.94 (95% CI 0.78-1.12), 3-monthly readmission to hospital RR 1.02 (0.77-1.35), and length of stay mean difference 1.91 days (0.71-3.12). Readmission to hospital was reduced in the automated monitoring subgroup (RR 0.30 95% CI 0.11-0.86).

CONCLUSIONS AND IMPLICATIONS

This review highlights gaps in the reporting and evidence base informing remote vital sign monitoring in alternatives to admission for acute illness, despite expanding implementation in clinical practice. Although continuous vital sign monitoring using wearable devices may offer added benefit, its use in existing RCTs is limited. Recommendations for the implementation and evaluation of remote monitoring in future clinical trials are proposed.

Comparison of Hospital-at-Home models: a systematic review of reviews

OBJECTIVES

To provide an overview of the safety and effectiveness of Hospital-at-Home (HaH) according to programme type (early-supported discharge (ESD) vs admission avoidance (AA)), and identify the model with higher evidence for addressing clinical, length of stay (LOS) and cost outcomes.

METHODS

A systematic review of reviews was conducted by performing a search on PubMed, EMBASE, Cochrane Database of Systematic Reviews, Web of Science and Scopus (January 2005 to June 2020) for English-language systematic reviews evaluating HaH. Data on primary outcomes (mortality, readmissions, costs, LOS), secondary outcomes (patient/caregiver outcomes) and process indicators were extracted. Quality of the reviews was assessed using Assessment of Multiple Systematic Reviews-2. There was no registered protocol.

RESULTS

Ten systematic reviews were identified (four high quality, five moderate quality and one low quality). The reviews were classified according to three use cases. ESD reviews generally revealed comparable mortality (RR 0.92-1.03) and readmissions (RR 1.09-1.25) to inpatient care, shorter hospital LOS (MD -6.76 to -4.44 days) and unclear findings for costs. AA reviews observed a trend towards lower mortality (RR 0.77, 95% CI 0.54 to 1.09) and costs, and comparable or lower readmissions (RR 0.68-0.98). Among reviews including both programme types (ESD/AA), chronic obstructive pulmonary disease reviews revealed lower mortality (RR 0.65-0.68) and post-HaH readmissions (RR 0.74-0.76) but unclear findings for resource use.

CONCLUSION

For suitable patients, HaH generally results in similar or improved clinical outcomes compared with inpatient treatment, and warrants greater attention in health systems facing capacity constraints and rising costs. Preliminary comparisons suggest prioritisation of AA models over ESD due to potential benefits in costs and clinical outcomes. Nonetheless, future research should clarify costs of HaH programmes given the current low-quality evidence, as well as address evidence gaps pertaining to caregiver outcomes and adverse events under HaH care.

Factors associated with failure of emergency wait-time targets for high acuity discharges and intensive care unit admissions

Objective

Ontario established emergency department length-of-stay (EDLOS) targets but has difficulty achieving them. We sought to determine predictors of target time failure for discharged high acuity patients and intensive care unit (ICU) admissions.

Methods

This was a retrospective, observational study of 2012 Sunnybrook Hospital emergency department data. The main outcome measure was failing to meet government EDLOS targets for high acuity discharges and ICU emergency admissions. The secondary outcome measures examined factors for low acuity discharges and all admissions, as well as a run chart for 2015 – 2016 ICU admissions. Multiple logistic regression models were created for admissions, ICU admissions, and low and high acuity discharges. Predictor variables were at the patient level from emergency department registries.

Results

For discharged high acuity patients, factors predicting EDLOS target failure were having physician initial assessment duration (PIAD)>2 hours (OR 5.63 [5.22-6.06]), consultation request (OR 10.23 [9.38-11.14]), magnetic resonance imaging (MRI) (OR 19.33 [12.94-28.87]), computed tomography (CT) (OR 4.24 [3.92-4.59]), and ultrasound (US) (OR 3.47 [3.13-3.83]). For ICU admissions, factors predicting EDLOS target failure were bed request duration (BRD)>6 hours (OR 364.27 [43.20-3071.30]) and access block (AB)>1 hour (OR 217.27 [30.62-1541.63]). For discharged low acuity patients, factors predicting failure for the 4-hour target were PIAD>2 hours (OR 15.80 [13.35-18.71]), consultation (OR 20.98 [14.10-31.22]), MRI (OR 31.68 [6.03-166.54]), CT (OR 16.48 [10.07-26.98]), and troponin I (OR 13.37 [6.30-28.37]).

Conclusion

Sunnybrook factors predicting failure of targets for high acuity discharges and ICU admissions were hospital-controlled. Hospitals should individualize their approach to shortening EDLOS by analysing its patient population and resource demands.

Utilisation of beds on the general medical unit by 'non-acute medical' patients: a retrospective study of incidence and cost in two Tasmanian regional medical hospital units

BACKGROUND

Demand for healthcare services threatens to overwhelm the Australian healthcare system. Public hospitals have the largest component of expenditure growth and as such represent the largest opportunity for efficiency gains. Utilisation of inpatient hospital beds and in particular those on general medical units has not been studied in Australia.

AIM

To undertake a retrospective patient medical record review of 200 sequential admissions to the medical wards in two regional Tasmanian hospitals to determine the incidence of non-acute medical patient admission to the medical unit, and the subsequent days in hospital that were not required for medical reasons. The cost of these days was estimated.

RESULTS

Sixteen patient admissions (8%) could not be justified on medical grounds. Forty-eight (24%) patient admissions had at least one day hospital day that could not be justified on medical grounds. Of the 1438 total bed days, 475 (33%) were for non-medical reasons. The estimated cost of those non-medical bed days for this cohort was $764 800.

CONCLUSIONS

The incidence of non-acute medical admissions and non-acute medical bed days to the medical unit and associated cost was significant. Further research is needed to design alternative care provision for such patients particularly in regional Australia. The potential savings to the Australian healthcare system could be significant.