Register      Login
Australian Health Review Australian Health Review Society
Journal of the Australian Healthcare & Hospitals Association
RESEARCH ARTICLE

Evaluation of a novel sub-acute Hospital in the Home model for providing inpatient geriatric and rehabilitation services

Anya Suzuki A , Greg Kyle https://orcid.org/0000-0003-4943-2077 B * , Clare Webb https://orcid.org/0009-0008-7011-7593 A , Ruth Cox https://orcid.org/0000-0002-5037-5375 A , Laurelie Wishart https://orcid.org/0000-0002-9474-9121 B C , Melissa McCusker D , Alex McConnell A , Sally Courtice A , Elizabeth C. Ward https://orcid.org/0000-0002-2680-8978 B C and Leo Ross A
+ Author Affiliations
- Author Affiliations

A Queen Elizabeth II Jubilee Hospital, Cnr Kessels and Troughton Roads, Coopers Plains, Qld 4108, Australia.

B Centre for Functioning and Health Research, Metro South Health, Suite 304, 3rd Floor, Buranda Village, Cnr Cornwall Street and Ipswich Road, Wooloongabba, Buranda, Qld 4102, Australia.

C School of Health and Rehabilitation Sciences, Therapies Annexe (84A), The University of Queensland, St Lucia, Qld 4072, Australia.

D Metro South Health Patient Flow Program, Princess Alexandra Hospital, 199 Ipswich Road, Woolloongabba, Qld 4102, Australia.

* Correspondence to: greg.kyle@health.qld.gov.au

Australian Health Review 49, AH23141 https://doi.org/10.1071/AH23141
Submitted: 21 July 2023  Accepted: 4 June 2024  Published: 24 June 2024

© 2025 The Author(s) (or their employer(s)). Published by CSIRO Publishing on behalf of AHHA.

Abstract

Objective

To report on the development and implementation of a multidisciplinary, sub-acute Geriatric Evaluation and Management Rehabilitation Hospital in the Home (GEMRHITH) model of care with the initial 2 years’ service outcome data (October 2019 – September 2021).

Methods

A retrospective analysis was conducted using hospital centralised data, and the GEMRHITH internal service database. Descriptive statistics were used to describe the patient population. Student’s t-test was used for comparative data.

Results

Over 2 years, GEMRHITH admitted 617 patients (13%, n = 82 directly from the emergency department). Median age was 82 years (range, 32–102 years), with 60.5% (n = 373) being female and 39.5% (n = 244) presenting with moderate frailty. Most patients (79.6%, n = 491) entered from a medical speciality (28.5%, n = 178 from neurology). Average GEMRHITH stay was 6 days (range, 1–33 days). Average bed occupancy was 5.3 virtual beds. There was an average of 26 discharges per month with 97% of patients (n = 598) discharged to their own home. Transfers back to the emergency department with the same diagnosis-related group were low (3.6%). The 7–28 day re-admission rate was 2.3%. Service safety was high, with only eight hospital-acquired complications reported in seven patients. Significant improvements were noted for total and sub-scale Functional Independence Measure scores (P < 0.001).

Conclusions

The addition of rehabilitation and geriatric care to traditional HITH services provides opportunities for multidisciplinary teams to support a larger cohort of patients with various medical and surgical conditions and functional abilities, to efficiently transition home from hospital settings. There were minimal complications and occupied bed stays were saved within a hospital.

Keywords: care continuum, geriatric evaluation and management, hospital bed occupancy, hospital in the home, length of stay, pragmatic evaluation, rehabilitation, sub-acute care.

Introduction

Hospital in the Home (HITH) is an established hospital substitution model delivering inpatient care outside the hospital setting (i.e. in the home). HITH inpatients reside at home but are admitted in a virtual ward, not a physical hospital bed. HITH models of care reduce hospital length of stay (LoS)13 and hospital-acquired complications,1,4 may reduce re-admission,1,2,4,5 generate cost savings4,5 and produce high consumer satisfaction.4,6 Traditional HITH models typically have narrow scope, service acute conditions and target younger patients with fewer comorbidities.1,7 Although the scope of HITH activity is growing, services primarily target infections, venous thromboembolism or post-surgical care.1 There is, however, potential for HITH to expand further1,810 as healthcare demand increases, patient conditions become more complex and health budgets tighten.11

To this end, HITH models to help manage geriatric populations have emerged5,12 with encouraging early results. Positive outcomes include easier transition from hospital to home, providing support for the expected new care requirements or a temporary functional decrease,13 decreased hospital-acquired complication risk and benefits for patients experiencing delirium.8,14 Early evidence indicates that geriatrician-led HITH targeting the frail aged can avoid hospital admission, emergency department (ED) presentations and reduce transfers to residential aged care facilities.9,1517 Comprehensive multidisciplinary geriatric assessment HITH services are also cost-effective.18

Although HITH services have shown benefits in older populations,7,12,19,20 models could be expanded further to incorporate more multidisciplinary care to help address increasing medical and surgical patient complexity. Mas et al.21 described an orthopaedic rehabilitation HITH service for an older population, and in further work22 described a geriatrician-led hospital-at-home Integrated Care Programme with acute care, Comprehensive Geriatric Assessment and rehabilitation. That model included some allied health (physiotherapy and occupational therapy). Both studies21,22 reported mean rehabilitation stays of approximately 50 days, with an inclusion requirement for a carer to support patients 24 h per day.

Geriatric Evaluation and Management Rehabilitation Hospital in the Home (GEMRHITH) provided access to a geriatrician, medical registrar, nurses and a range of allied health professionals to provide short-term (up to 2 weeks) input in the form of rehabilitation, bridging rehabilitation and other sub-acute care for all adults including geriatric patients. Sub-acute care is defined as specialised multidisciplinary care, in which the primary care need is to optimise a patient’s functioning and quality of life.23

A wide range of allied health professionals, a geriatrician, their registrars and nursing staff supported eight virtual beds to deliver sub-acute services for adult patients with medical and surgical diagnoses. There is a paucity of research to guide implementation and operation of this type of multidisciplinary GEMRHITH model.

The aim of this study was to conduct an initial pragmatic evaluation of clinical and service outcomes, adoption and reach of a new multidisciplinary sub-acute GEMRHITH model of care in a metropolitan hospital catchment in Brisbane, Australia over a 2 year implementation period.

Methods

This pragmatic, non-comparative evaluation was guided by the RE-AIM framework: an established model providing a systematic basis for planning and evaluating health projects.24 RE-AIM contains five domains: Reach, Efficacy/Effectiveness, Adoption, Implementation and Maintenance, however for the current study only the first three domains were considered. Implementation and maintenance were examined using qualitative methods and reported elsewhere.25 Table 1 lists the GEMRHITH data collected as mapped to the three components of the RE-AIM framework.

Table 1.Mapping of data types and data sources against the RE-AIM framework.

RE-AIM domainData typeData source
Reach
  • Use – Number of patients

  • Clinical and demographic characteristics: age, gender, referral source, DRG, sub- and non-acute patient codes, CALD status

GEMRHITH dataset
Efficacy/Effectiveness
  • Service/patient flow: average LoS, number of discharges per month, discharge destination, bed occupancy per month

  • Safety/quality: unplanned re-admissions (ED transfer rate, re-admission within 7 and 28 days), adverse events/near misses, hospital-acquired complications

  • Clinical outcomes: change in clinical status from admission to discharge on: MRS and FIM, discharge destination

GEMRHITH dataset
Adoption
  • Service statistics: number of care episodes provided by multidisciplinary team

GEMRHITH dataset

Geriatric Evaluation and Management Rehabilitation Hospital in the Home model

This GEMRHITH expanded traditional acute HITH by adding a service lead consultant geriatrician and medical registrar. The medical model of care consisted of GEMRHITH admission assessment, attendance at twice daily handover meetings, bi-weekly case conferences and frequent telephone and face-to-face patient consults (in-home, clinic or virtual) on an as-required basis. All staff disciplines (medical, nursing and allied health) participated in all methods of patient consults. Allied health staff consisted of those from the disciplines of physiotherapy, occupational therapy, speech pathology, nutrition and dietetics, pharmacy, social work, and psychology, along with an allied health assistant. Medical and allied health staff worked weekdays, while nursing staff provided a 7 day service, shared with an acute HITH. Each patient received a minimum of a daily home visit from one discipline of practitioner. Medical and nursing also provided a nurse-led 24 h remote on-call service as part of the standard HITH after-hours call service, and no GEMRHITH-specific data were logged for reporting. Personal care workers were available if required. Referrals were accepted from inpatient medical and surgical wards, ED and geriatrician outpatient clinics. Box 1 details patient inclusion and exclusion criteria. Patients requiring medical investigations or use of medical equipment unable to be transported (i.e. X-ray, computed tomography) were conveyed to the hospital-based HITH clinic for medical officer review. Transport was arranged if required. Discharge was determined by medical status, functional ability, and availability and capacity of service providers and outpatient/community rehabilitation services to continue patients’ rehabilitation journey as required. Fig. 1 shows the GEMRHITH patient journey.

Box 1.Criteria for patient referral to GEMRHITH service
Inclusion criteria
  • Patients must meet the admission requirements as stated in the Metro South Hospital and Health Service Admission Policy

  • Patient consents to be on the program

  • Patient lives in the Metro South Health catchment area (priority to local [hospital] area)

  • Patient has a telephone available

  • Patient meets functional inclusion criteria. This includes:

    • Be safe to discharge home with once daily support from the service for hygiene and meals and less frequent support for shopping, laundry, household tasks

    • Able to manage toileting/continence alone or with support from own carer/family

    • Able to manage two meals a day and snacks/drinks with support for meal delivery, alone or with support from own carer/family

    • Able to transfer/mobilise in the home alone or with support from own carer/family,

    • Able to manage medications with maximum of once-a-day medication monitoring by the service with or without a medication dose administration aid (including WebsterPak), alone or with support from own carer/family

Exclusion criteria
  • Medically unstable or at risk of a medical emergency

  • Residential aged care facility patients

  • Patients suitable for post-acute care or other existing community services

  • Unable to maintain adequate oral fluid and nutritional intake and not established on enteral nutrition or texture modified diet

  • Unsuitable due to functional profile

Accepted referrals
  • Emergency and admitted inpatients from Metro South Health Hospitals

  • Patients from Metro South Health Hospital Outpatient Clinics

  • Acute HITH patients

Fig. 1.

GEMRHITH: a patient’s journey (adapted from figure by Dr Abrams, Mid-West Toronto Sub-Region Hospital at Home Program). GEDI, Geriatric Emergency Department Initiative; NGO, non-government organisation; TCP, Transitional Care Program.


AH23141_F1.gif

Data collection

All patients discharged from the GEMRHITH service from 1 October 2019 to 30 September 2021 were included. Demographic and clinical data were extracted from the electronic medical record including age, sex, country of birth, Aboriginal and Torres Strait Islander status and cultural and linguistically diverse (CALD) status, referral source, diagnosis-related group (DRG), admission and discharge dates, discharge destination and Sub- and Non-Acute Patient (SNAP) activity class. Clinical outcome measures were also obtained including the Clinical Frailty Scale26 (CFS), Malnutrition Screening Tool27 (MST) and change from admission to discharge measured using the Functional Independence Measure28 (FIM) (cognitive, motor and total scores) and Modified Rankin Scale29 (MRS). These measures were collected by nursing and/or allied health staff through direct observation or, when missed, through medical record review. Service utilisation data were collected from centralised hospital datasets with additional data sourced from the internal database including patient average LoS, number of discharges and bed occupancy. Specific occasions of service data were not available on any databases; therefore a sample was selected for chart review to determine occasions of service. Eighty patients (13% of the sample) were drawn at random from the GEMRHITH database. One of the authors who was involved in care delivery on the service extracted occasions of service data for each patient’s GEMRHITH stay by date and health profession.

Data analysis

Descriptive statistics are used to describe the patient population. Student's t-test was used for comparative data including pre/post analyses of functional measures. Statistical significance was defined a priori as P < 0.05.

Ethics

Approval was obtained from the Metro South Health Human Research Ethics Committee including a waiver of consent to retrospectively access GEMRHITH service data previously collected (approval no.: HREC/2021/QMS/69168).

Results

Reach

During the first 2 years of GEMRHITH operation, 617 patients were admitted. A total of 60% of patients were female (n = 373) with a median age of 82 years (range, 32–102 years). Languages other than English were spoken by 110 patients (17.9%). The three most predominant non-English languages were Mandarin (n = 14, 2.2%), Vietnamese (n = 14, 2.2%) and Cantonese (n = 10, 1.6%). Six patients (0.9%) identified as Aboriginal and Torres Strait Islander peoples.

Most patients (n = 534, 86.5%) were referred to GEMRHITH from inpatient wards, with 82 (13.5%) admitted directly from the ED. Table 2 lists the referring sources, with 79.6% (n = 491) referred from a medical specialty (mainly neurology, n = 178) and 20.4% (n = 126) from a surgical speciality (mainly orthopaedics, n = 95). The DRG and the SNAP code and class provide additional detail regarding reason for admission and patient care needs (Table 3). The most common DRGs were nervous system, musculoskeletal and cardiovascular. The sub-acute class allocated to each patient on admission to GEMRHITH included rehabilitation in 61.1% and GEM in 38.1% of patients. The most common rehabilitation SNAP codes were debility, orthopaedic fractures and stroke (Table 3).

Table 2.Source specialty for GEMRHITH patients.

Specialty reference groupNo. of patients
Medical491 (79.6%)
 Neurology (including stroke)178
 Non-subspecialty medicine75
 Endocrinology51
 Cardiology40
 Rheumatology34
 Respiratory medicine30
 Immunology and infections24
 Gastroenterology23
 Renal medicine6
 Haematology5
 Urology5
 Medical oncology5
 Psychiatry – acute4
 Drug and alcohol2
 Dermatology1
Surgery126 (20.4%)
 Orthopaedics95
 Non-subspecialty surgery27
 Vascular surgery3
 Plastic and reconstructive surgery1
Total617
Table 3.DRG and SNAP codes assigned to GEMRHITH patients.

DRGPatients (n)SNAP codePatients (n)
Nervous system (B)185GEM: geriatric evaluation management235
Musculoskeletal (I)172Rehabilitation382
Cardiovascular (F)59
Respiratory (E)36Rehabilitation subcategory division (n = 382):
Skin (J)30RDE: debility209
Gastrointestinal (G)21ROF: orthopaedic conditions, fractures63
Renal (L)19RST: stroke42
Injuries/poisoning (X)18ROR: orthopaedic conditions, replacement28
Endocrine (K)12RNE: neurological27
Ear, nose and throat (D)7ROA: orthopaedic conditions, other5
Hepatic (H)7ROI: other disabling impairments4
Infection (T)6RBD: brain dysfunction2
Other45RAR: arthritis1
RPS: pain syndromes1

The CFS score on admission was a median of 6, indicating moderate frailty. Breakdown by CFS band indicated 4.1% with CFS 1–3 (very fit, managing well); 37.3% with CFS 4–5 (vulnerable, mildly frail); 39.5% with CFS 6 (moderate frailty), 18.8% with CFS 7–8 (severely to very severely frail), and 0.2% scored 9 (terminally ill). MST score on admission was 2 or more for 39.4%, indicating a risk of malnutrition (average 1, median 0, range 0–5).

Efficacy/effectiveness

Table 4 lists LoS, re-admission and discharge destination by SNAP class. Mean GEMRHITH LoS was 6.1 days (range, less than 1–33 days), with the most common being 0–5 days (47.2%). Discharge destination was predominantly their own home (n = 598, 97%) either alone (n = 167) or with support from family/carer (n = 431), with 12 (1.9%) being discharged to a family member's home, and four (0.6%) transferred to an aged care facility. One person died during their GEMRHITH admission, however, this death was attributed to underlying ischaemic heart disease and metastatic lung cancer, and medical assessment determined that it was not an adverse event attributable to the service model.

Table 4.Number of patients and stay characteristics by SNAP class.

SNAP classSNAP class description (any FIM criteria were assessed on admission to GEMRHITH)No. of patientsAverage LoS (days)Re-admission under 28 daysDischarged to own home (%)
Total (acute + HITH)GEMRHITH onlyn%
4A21Orthopaedic conditions, all other (including replacements), weighted FIM motor score 68–91243110.34.800100
4A22Orthopaedic conditions, all other (including replacements), weighted FIM motor score 50–67614.010.200100
4A23Orthopaedic conditions, all other (including replacements), weighted FIM motor score 19–49121.019.000100
4AA1Stroke, weighted FIM motor score 51–91, FIM cognition score 29–35234110.16.100100
4AA2Stroke, weighted FIM motor score 51–91, FIM cognition score 19–281612.36.816100
4AA3Stroke, weighted FIM motor score 51–91, FIM cognition score 5–1829.07.000100
4AC1Neurological conditions, weighted FIM motor score 62–91162613.66.4319100
4AC2Neurological conditions, weighted FIM motor score 43–61817.89.1113100
4AC3Neurological conditions, weighted FIM motor score 19–42219.59.500100
4AH1Orthopaedic conditions, fractures, weighted FIM motor score 49–91, FIM cognition score 33–3530658.55.00093
4AH2Orthopaedic conditions, fractures, weighted FIM motor score 49–91, FIM cognition score 5–323111.47.026100
4AH3Orthopaedic conditions, fractures, weighted FIM motor score 38–48316.011.700100
4AH4Orthopaedic conditions, fractures, weighted FIM motor score 19–37120.05.000100
4AR1Reconditioning, weighted FIM motor score 67–9112620914.35.56598
4AR2Reconditioning, weighted FIM motor score 50–66, FIM cognition score 26–354515.66.50098
4AR3Reconditioning, weighted FIM motor score 50–66, FIM cognition score 5–252117.46.71595
4AR4Reconditioning, weighted FIM motor score 34–49, FIM cognition score 31–35313.06.000100
4AR5Reconditioning, weighted FIM motor score 34–49, FIM cognition  score 5–30721.08.500100
4AR6Reconditioning, weighted FIM motor score 19–33722.67.100100
4AZ3Weighted FIM motor score 13–18, all other impairments, age ≥65 years3315.38.70067
4CH1Admitted GEM, FIM motor score 57–91 with delirium or dementia8316712.75.72294
4CH2Admitted GEM, FIM motor score 57–91 without delirium or dementia8412.35.66796
4CL1Admitted GEM, FIM motor  score 13–17 with delirium or dementia101031.88.700100
4CM1Admitted GEM, FIM motor score 18–56 with delirium or dementia375315.55.913100
4CM2Admitted GEM, FIM motor score 18–56 without delirium or dementia1619.65.916100
OtherSNAP codes 4A32, 4A34, 4A92, 4AA5, 4AA6, 4AB1, 4AB3, 4JO1, 4LO1 and DVA121218.03.800100
Whole cohort61714.06.124497

According to the safety data, 3.6% of patients (n = 22) were transferred back into the ED with the same DRG during their GEMRHITH admission. The re-admission rate to hospital within 7 days of discharge, with the same DRG, was 1.6% (n = 10), and that within 7–28 days of discharge was 2.3% (n = 14). According to standard practice, every month the service Nurse Unit Manager or medical officer reviews all re-admissions to determine whether it was a similar or related DRG or a new admission for an unrelated condition (DRG). A further 45 patients (7.3%) presented to the ED while admitted to GEMRHITH, and 51 patients (8.3%) were re-admitted within 28 days of discharge for conditions not related to their admission DRG.

Eight hospital-acquired complications were reported in seven patients: one pressure injury, five infections (four urinary tract and one surgical site), one hypoglycaemic episode, and one case of delirium.

Table 5 lists the mean admission and discharge differences in clinical/functional outcomes. There were statistically significant improvements for the total and sub-scale FIM scores. The average MRS showed a non-significant trend towards improvement (P = 0.06).

Table 5.Pre–post-admission MRS and FIM scores.

Admission to GEMRHITH mean (s.d.)Discharge from GEMRHITH mean (s.d.)P
MRS (0–5)3.02.80.06
(0.9)(1.0)
FIM
Total (18–126)9397<0.001
(21.1)(21.7)
Motor (13–91)6669<0.001
(16.4)(16.8)
Cognitive (5–35)27280.02
(6.5)(6.9)
Adoption

Fig. 2 shows the monthly occupancy, unused capacity and separations during GEMRHITH’s first 2 years of operation. Occupancy was measured using the average daily occupied bed days (OBD) in each month, and unused capacity is the gap between OBD and service capacity (eight virtual beds). Average bed occupancy for the period was 5.3 virtual beds, below the 85% target (6.8 beds). GEMRHITH averaged 26 discharges per month (range, 16–36) over the 2 years.

Fig. 2.

GEMRHITH OBD (occupancy) and separations by month. LHS, left-hand side; RHS, right-hand side.


AH23141_F2.gif

A total of 1135 occasions of service (mean, 14 per patient) were documented from the chart review (Table 6). A total of 459 home visits occurred, with two or more health practitioners visiting the patient together on 115 occasions, generating separate occasions of service for each discipline. In the sample audited by the chart review, the GEMRHITH after hours service was called eight times.

Table 6.Occasions of service by practitioner discipline for a random sample of 80 GEMRHITH patients during their admission.

Service type (± location)GeriatricianMedical registrarNursePharmacyPhysiotherapyOccupational therapyDieticianSpeech pathologySocial workAllied health assistantPsychologyTotal (%)
0.5 FTE0.7 FTE2.8 FTE0.6 FTE1.0 FTE1.0 FTE0.4 FTE0.4 FTE0.5 FTE0.6 FTE0.2 FTE
Chart review1011934341281500106(9)
HITH clinic129141000000036(3)
Out-of-hours phone call305000000008(1)
Initial assessmentWard733774380000100223(20)
Phone call0001700204180059(5)
Home visit00507372910706182(16)
Assessment sub-total73377955737229142606464
ReviewWard171432010000138(3)
Phone call23513188584140098(9)
Home visit40119014531163670385(34)
Review sub-total802020621533791017671521
Total (%)178773131111291135032586771135
(16)(7)(28)(10)(11)(10)(4)(3)(5)(6)(1)

FTE, full-time equivalent.

Discussion

The key outcome of this study was the successful service implementation at both a facility and patient level. This is demonstrated by the positive data collected regarding the high degree of reach (acceptance of patients with a wide range of clinical conditions, age and frailty), effectiveness (positive patient functional and safety outcomes) and adoption (high occupancy and separations per month).

Reach

In the first 2 years of operation, GEMRHITH admitted 617 patients to be supported in their home environment, with 82 (13.3%) admitted directly to GEMRHITH from the ED, thus avoiding the need to occupy a physical hospital bed. It is unlikely that the GEMRHITH patient cohort would have returned to their home environment in the same timeframe under a traditional acute HITH model without the additional multidisciplinary team support.

This GEMRHITH service model enabled a wider group of patients with a variety of conditions and broad age range to access otherwise inaccessible acute HITH services offered by the hospital. The mean age of patients admitted to this GEMRHITH service was older (82 years) than in most other HITH studies. Page et al.7 reported a median age range of 51–55 years, and Montalto et al.1 reported that 53.2% were in the 50–79 year age bracket and 54.4% were men. Singh et al. reported a mean age of 83 years but included only patients over 65 years,18 unlike the current GEMRHITH, which had a minimum age of 18 years.

Patients admitted to GEMRHITH were varied, but were predominantly admitted for GEM, deconditioning and post-orthopaedic rehabilitation (Table 4). Having the availability of various allied health professions working under the guidance of a geriatrician in the service enabled more comprehensive care for such populations, with promising outcomes. Patients admitted to GEMRHITH benefited from accessing multidisciplinary team services to support their holistic care needs, enabling multiple factors to be addressed in their own home, which is not usually observed in acute HITH services.21,22 Medical oversight of patients was maintained at twice daily patient handover sessions.

The average CFS score on admission was 6 (moderately frail), indicating that a large portion of patients admitted into the service required a level of support and care for basic personal activities of daily living (such as hygiene) and required assistance with activities of daily living such as shopping, cleaning and medication management.30 One-fifth of patients were admitted with a CFS showing severely to very severely frail, indicating that patients with a high degree of care needs were able to be managed in the service. Ready access to geriatric and specialist geriatric and rehabilitation allied health input and personal care workers enabled the provision of the additional support required for this more physically and cognitively vulnerable patient group to facilitate earlier and safer discharges, potentially avoiding longer inpatient admissions or transfers to an aged care facility. There were a high proportion (17.9%) of patients who required an interpreter, which is encouraging given that people from CALD backgrounds may be less likely to participate in HITH.7

Efficacy/effectiveness and implementation

The results showed a high degree of adoption, with positive patient clinical and safety outcomes. The occupancy rate was high in comparison with other HITH service benchmarks reported in the literature and in Queensland Health.31

It was not possible to make direct comparisons to other studies regarding re-admission rates due to variability in reporting and the definition of re-admission in the literature, however, it appears that GEMRHITH had comparable or lower re-admission rates to those reported. Lim et al.32 reported an 11.9% re-admission rate for a large acute HITH service in Victoria while patients were still on the HITH service before discharge. Sriskandarajah et al.33 audited a South Australian HITH program and showed that 15% of patients required hospital re-admission. A large-scale Australian study for acute HITH services had a re-admission rate of 2.3% within 28 days, which was lower compared with in-hospital care, and similar to GEMRHITH (1.6% at 7 days and 2.3% for re-admissions at 7–28 days). Levine et al.34 hypothesised that re-admission rates were potentially lower for HITH models for older populations due to improved discharge planning. This was also likely to be the case with GEMRHITH, given that staff caring for the patient were able to see the patient in hospital, provide daily interventions, liaise with caregivers, organise for required equipment or services to be in place prior to transfer and, if required, complete a same-day home visit to the patient immediately after GEMRHITH transfer, facilitating smoother transitions to home.

Given the short LoS (mean, 6 days), large clinical improvements were not expected, however, a statistically, although not clinically, significant improvement in FIM scores was noted, as well as a positive trend towards improvement in the MRS. Improvements were largely noted in FIM motor scores, which is indicative of the cohort of rehabilitation patients from medical, orthopaedic and neurological backgrounds receiving allied health input for rehabilitation. This shows that patients can improve at home in a supported rehabilitation HITH model, while also reducing the demand on physical hospital beds. It was not anticipated that cognitive FIM scores would increase dramatically due to the number of GEM patients admitted to the service. The mild increase in cognitive FIM scores may indicate a small cognitive improvement from being in the home environment.35

Adoption

GEMRHITH occupancy was an average of 5.3 OBD per month, which was below the 85% service target. Reasons for lower-than-expected occupancy were not able to be examined with these data, however, this needs further exploration to enhance uptake. It is acknowledged that there were multiple waves of COVID-19 community lockdowns and increased COVID-19 admissions that occurred across the study period, but these did not negatively affect the utilisation or effectiveness of the service despite the challenges of maintaining business continuity through these periods.

In contrast to other HITH models in Australia,1 GEMRHITH admitted a majority of rehabilitation patients (62%), with only 38% being GEM sub-acute patients. The ability to have a broad scope improved referral and uptake by general medicine, orthopaedic and surgical patients across the facility, including in supporting patients under 65 who did not qualify for existing home-based rehabilitation services with an over 65 years criterion. GEMRHITH received 13.3% of patients directly from the ED, thus reducing inpatient hospital admissions, which not only enhanced patient flow but also may have added to cost-effectiveness,9,16 although this requires further investigation.

Limitations

A limitation to this study was that data were obtained from only one metropolitan Australian hospital and hence the results may not be directly generalisable. There was also an increased risk of bias because this was a non-randomised cohort study. This was a pragmatic report of patient characteristics and outcomes over the first 2 years of GEMRHITH’s operation and hence does not include a control or comparator group, nor does it include measures that would have unduly impacted the day-to-day operations of the hospital staff. Further work could be performed to compare the outcomes of GEMRHITH patients with a control group to determine superiority or non-inferiority of this care model, including for markers such as LoS, a main driver of HITH services.

Patient outcomes after discharge from GEMRHITH are also not known because this was not investigated; this could also be investigated in the future to demonstrate any benefit or otherwise of GEMRHITH compared with being in a physical hospital bed for the same care.

Robust data detailing the number, type and profession spread of GEMRHITH home and other occasions of service were not available. Given that the service was new and was run across two organisational directorates (hospital and community) there was no centralised system with consistent business rules for collecting accurate occasion of service data. Future research could develop a robust and minimally intrusive mechanism to log staff occasions of service and time.

Conclusion

Implementation of this multidisciplinary GEMRHITH model of care appeared successful with positive clinical outcomes, quality and safety indicators, and service efficiency outcomes achieved over a 2-year period. This model of care had consistent uptake even during the COVID-19 pandemic and provided support and care for a wide cohort including frail and vulnerable patients. The high proportion of GEMRHITH patients discharged to their ‘own home’ shows that GEMRHITH can free hospital beds and provide a supported transition without requiring institutional transitional care. Further research is required to evaluate the cost-effectiveness of the service, as well as consumer satisfaction.

Data availability

The data that support this study will be shared upon reasonable request to the corresponding author.

Conflicts of interest

The authors have no conflicts of interest to declare.

Declaration of funding

There was no specific funding for this study.

Acknowledgements

The authors would like to thank Mr Salvatore Spotto for his consumer perspectives and advice regarding this study and Dr Amanda Siller, Dr Alicia Wu and Victoria Tilby, who were all integral to development of the service.

References

Montalto M, McElduff P, Hardy K. Home ward bound: features of hospital in the home use by major Australian hospitals, 2011-2017. Med J Aust 2020; 213: 22-7.
| Crossref | Google Scholar | PubMed |

Samaranayake CB, Neill J, Bint M. Respiratory acute discharge service: a hospital in the home programme for chronic obstructive pulmonary disease exacerbations (RADS Study). Intern Med J 2019; 50: 1253-8.
| Crossref | Google Scholar | PubMed |

Gonçalves-Bradley DC, Iliffe S, Doll HA, Broad J, Gladman J, Langhorne P, et al. Early discharge hospital at home. Cochrane Database Syst Rev 2017; 6(6): CD000356.
| Crossref | Google Scholar | PubMed |

Caplan GA, Sulaiman NS, Mangin DA, Aimonino Ricauda N, Wilson AD, Barclay L, et al. A meta-analysis of “hospital in the home”. Med J Aust 2012; 197(9): 512-19.
| Crossref | Google Scholar | PubMed |

Aimonino Ricauda N, Tibaldi V, Leff B, Scarafiotti C, Marinello R, Zanocchi M, et al. Substitutive “Hospital at Home” Versus Inpatient Care for Elderly Patients with Exacerbations of Chronic Obstructive Pulmonary Disease: A Prospective Randomized, Controlled Trial. J Am Geriatr Soc 2008; 56(3): 493-500.
| Crossref | Google Scholar | PubMed |

Facultad J, Lee GA. Patient satisfaction with a hospital-in-the-home service. Br J Community Nurs 2019; 24(4): 179-85.
| Crossref | Google Scholar | PubMed |

Page J, Comino E, Burgess M, Cullen J, Harris E. Participation in Hospital in the Home for patients in inner metropolitan Sydney: implications for access and equity. Aust Health Rev 2018; 42(5): 557-62.
| Crossref | Google Scholar | PubMed |

Chia J, Eeles EM, Tattam K, Yerkovich S. Outcomes for patients with delirium receiving hospital‐in‐the‐home treatment: An Australian perspective. Australas J Ageing 2020; 39(2): e215-19.
| Crossref | Google Scholar | PubMed |

Shepperd S, Butler C, Cradduck-Bamford A, Ellis G, Gray A, Hemsley A, et al. Is Comprehensive Geriatric Assessment Admission Avoidance Hospital at Home an Alternative to Hospital Admission for Older Persons?: A Randomized Trial. Ann Intern Med 2021; 174(7): 889-98.
| Crossref | Google Scholar | PubMed |

10  Varney J, Weiland TJ, Jelinek G. Efficacy of hospital in the home services providing care for patients admitted from emergency departments: an integrative review. Int J Evid Based Healthc 2014; 12(2): 128-41.
| Crossref | Google Scholar | PubMed |

11  Shannon B, Shannon H, Bowles K, Williams C, Andrew N, Morphett J. Health professionals’ experience of implementing and delivering a ‘Community Care’ programme in metropolitan Melbourne: a qualitative reflexive thematic analysis. BMJ Open 2022; 12: e062437.
| Crossref | Google Scholar | PubMed |

12  Leff B, Montalto M. Hospital at Home: potential in geriatric healthcare and future challenges to dissemination. Aging Health 2006; 2(5): 701-3.
| Crossref | Google Scholar |

13  Hestevik C, Molin M, Debesay J, Bergland A, Bye A. Older persons’ experiences of adapting to daily life at home after hospital discharge: a qualitative metasummary. BMC Health Serv Res 2019; 19(1): 224.
| Crossref | Google Scholar | PubMed |

14  Eeles E, Whiting E, Tattam K, Hay K, Pandy S, Turner M. Hospitals in the home for patients with delirium: no place like home? Aust J Med 2016; 9(11): 428-35.
| Crossref | Google Scholar |

15  Schapira M, Outumuro MB, Giber F, Pino C, Mattiussi M, Montero-Odasso M, et al. Geriatric co-management and interdisciplinary transitional care reduced hospital readmissions in frail older patients in Argentina: results from a randomized controlled trial. Aging Clin Exp Res 2022; 34(1): 85-93.
| Crossref | Google Scholar | PubMed |

16  Ouchi K, Liu S, Tonellato D, Keschner Y, Kennedy M, Levine D. Home hospital as a disposition for older adults from the emergency department: benefits and opportunities. J Am Coll Emerg Physicians Open 2021; 2: e12517.
| Crossref | Google Scholar | PubMed |

17  Shepperd S, Cradduck-Bamford A, Butler C, Ellis G, Godfrey M, Gray A, et al. A multi-centre randomised trial to compare the effectiveness of geriatrician-led admission avoidance hospital at home versus inpatient admission. Trials 2017; 18(1): 491.
| Crossref | Google Scholar | PubMed |

18  Singh S, Gray A, Shepperd S, Stott DJ, Ellis G, Hemsley A, et al. Is comprehensive geriatric assessment hospital at home a cost-effective alternative to hospital admission for older people? Age Ageing 2022; 51(1): afab220.
| Crossref | Google Scholar | PubMed |

19  Closa C, Mas MÀ, Santaeugènia SJ, Inzitari M, Ribera A, Gallofré M. Hospital-at-home Integrated Care Program for Older Patients With Orthopedic Processes: An Efficient Alternative to Usual Hospital-Based Care. J Am Med Dir Assoc 2017; 18(9): 780-4.
| Crossref | Google Scholar | PubMed |

20  Pouw MA, Calf AH, van Munster BC, Ter Maaten JC, Smidt N, de Rooij SE. Hospital at Home care for older patients with cognitive impairment: a protocol for a randomised controlled feasibility trial. BMJ Open 2018; 8(3): e020332.
| Crossref | Google Scholar | PubMed |

21  Mas MÀ, Closa C, Santaeugènia SJ, Inzitari M, Ribera A, Gallofré M. Hospital-at-home integrated care programme for older patients with orthopaedic conditions: early community reintegration maximising physical function. Maturitas 2016; 88: 65-9.
| Crossref | Google Scholar | PubMed |

22  Mas MÀ, Inzitari M, Sabaté S, Santaeugènia SJ, Miralles R. Hospital-at-home Integrated Care Programme for the management of disabling health crises in older patients: comparison with bed-based Intermediate Care. Age Ageing 2017; 46(6): 925-31.
| Crossref | Google Scholar | PubMed |

23  Independent Hospital Pricing Authority. Australian national subacute and non-acute patient classification version 5.0: classification manual; 2021. Available at https://www.ihacpa.gov.au/sites/default/files/2022-08/australian_national_subacute_and_non-acute_patient_classification_version_5.0_-_classification_manual_-_december_2021.pdf [cited 28 April 2023].

24  Kwan BM, McGinnes HL, Ory MG, Estabrooks PA, Waxmonsky JA, Glasgow RE. RE-AIM in the Real World: Use of the RE-AIM Framework for Program Planning and Evaluation in Clinical and Community Settings. Front Public Health 2019; 7: 345.
| Crossref | Google Scholar | PubMed |

25  Cox R, Kyle G, Suzuki A, Wishart L, McCusker M, McConnell A, et al. Patient and multidisciplinary health professional perceptions of an Australian geriatric evaluation and management and rehabilitation hospital in the home service. J Health Serv Res Po 2024; 29: 31-41.
| Crossref | Google Scholar |

26  Rockwood K, Song X, MacKnight C, Bergman H, Hogan DB, McDowell I, et al. A global clinical measure of fitness and frailty in elderly people. CMAJ 2005; 173(5): 489-95.
| Crossref | Google Scholar | PubMed |

27  Nursal TZ, Noyan T, Atalay BG, Köz N, Karakayali H. Simple two-part tool for screening of malnutrition. Nutrition 2005; 21(6): 659-65.
| Crossref | Google Scholar | PubMed |

28  Rehabilitation Uniform Data Set. Guide for the Uniform Data Set for Medical Rehabilitation (including the FIM (TM) instrument), Version 5.1. Buffalo University of New York; 1997.

29  Rankin J. Cerebral vascular accidents in patients over the age of 60: II. Prognosis. Scott Med J 1957; 2(5): 200-15.
| Crossref | Google Scholar | PubMed |

30  Mendiratta P, Schoo C, Latif R. Clinical Frailty Scale. Treasure Island (FL): StatPearls Publishing; 2022. Available at https://www.ncbi.nlm.nih.gov/books/NBK559009/ [cited 18 October 2022].

31  State of Queensland [Metro South Hospital and Health Service]. Annual Report 2020-2021. Brisbane; 2021. Available at https://metrosouth.health.qld.gov.au/sites/default/files/msh-annual-report-20-21.pdf

32  Lim AKH, De Silva ML, Wang RSH, Nicholson AJ, Rogers BA. Observational study of the incidence and factors associated with patient readmission from home-based care under the Hospital in the Home programme. Intern Med J 2021; 51(9): 1497-504.
| Crossref | Google Scholar | PubMed |

33  Sriskandarajah S, Ritchie B, Eaton V, Sluggett JK, Hobbs JG, Daniel S, et al. Safety and Clinical Outcomes of Hospital in the Home. J Patient Saf 2020; 16(2): 123-9.
| Crossref | Google Scholar | PubMed |

34  Levine DM, Landon BE, Linder JA. Quality and Experience of Outpatient Care in the United States for Adults With or Without Primary Care. JAMA Intern Med 2019; 179(3): 363-72.
| Crossref | Google Scholar | PubMed |

35  Byom L, Zhao AT, Yang Q, Oyesanya T, Harris G, Cary Jr. MP, et al. Predictors of cognitive gains during inpatient rehabilitation for older adults with traumatic brain injury. PM R 2023; 15(3): 265-77.
| Crossref | Google Scholar | PubMed |