Hospital at Home-Plus: A Platform of Facility-Based Care

The value of admission avoidance: cost-consequence analysis of one-year activity in a consolidated service

BACKGROUND

Many advantages of hospital at home (HaH), as a modality of acute care, have been highlighted, but controversies exist regarding the cost-benefit trade-offs. The objective is to assess health outcomes and analytical costs of hospital avoidance (HaH-HA) in a consolidated service with over ten years of delivery of HaH in Barcelona (Spain).

METHODS

A retrospective cost-consequence analysis of all first episodes of HaH-HA, directly admitted from the emergency room (ER) in 2017-2018, was carried out with a health system perspective. HaH-HA was compared with a propensity-score-matched group of contemporary patients admitted to conventional hospitalization (Controls). Mortality, re-admissions, ER visits, and direct healthcare costs were evaluated.

RESULTS

HaH-HA and Controls (n = 441 each) were comparable in terms of age (73 [SD16] vs. 74 [SD16]), gender (male, 57% vs. 59%), multimorbidity, healthcare expenditure during the previous year, case mix index of the acute episode, and main diagnosis at discharge. HaH-HA presented lower mortality during the episode (0 vs. 19 (4.3%); p < 0.001). At 30 days post-discharge, HaH-HA and Controls showed similar re-admission rates; however, ER visits were lower in HaH-HA than in Controls (28 (6.3%) vs. 34 (8.1%); p = 0.044). Average costs per patient during the episode were lower in the HaH-HA group (€ 1,078) than in Controls (€ 2,171). Likewise, healthcare costs within the 30 days post-discharge were also lower in HaH-Ha than in Controls (p < 0.001).

CONCLUSIONS

The study showed higher performance and cost reductions of HaH-HA in a real-world setting. The identification of sources of savings facilitates scaling of hospital avoidance.

REGISTRATION

ClinicalTrials.gov (26/04/2017; NCT03130283).

Patients' and caregivers' perceptions of the quality of hospital-at-home service: A scoping review

AIM

This scoping review aims to provide an overview of patients and caregivers perceptions of hospital-at-home (HaH) services.

BACKGROUND

HaH services provide patients with hospital-level care at home and are central to integrated healthcare systems. Despite favourable data from individual studies in the literature, in-depth analysis from patient and caregivers perspectives is lacking. This understanding is essential for the dissemination and scaling of HaH services.

DESIGN

The scoping review was performed using the PRISMA-ScR checklist and PAGER framework for the findings report and research recommendations.

METHOD

Literature from PubMed, Web of Science, Ovid, CINAHL, Cochrane and Mednar databases were searched. Relevant studies published between 1st January 2005 and 31st December 2022 were identified. The conceptual model of the development of patient perceptions of quality was used for data extraction and tabulation.

RESULTS

The review included 24 articles. Expectation attributions were identified as needs, types of service, hospitalisation experiences, family care preferences, social-demographics and coping skills. From patient's and caregiver's perspectives, HaH was safe, effective and viewed positively. Perceived concerns/barriers and enablers/facilitators were associated with individual, caregiver and system factors, but demonstrated an overall satisfaction in the HaH service.

CONCLUSION

HaH provides an excellent service according to patients' and caregivers' perceptions. However, gaps in care were identified such as prioritising patient-centred care, along with improved multidisciplinary continuity of care and future studies should incorporate these into their research of HaH.

RELEVANCE TO CLINICAL PRACTICE

Patients' and caregivers' HaH needs should be embedded in the design, development and implementation of HaH services.

PATIENT AND PUBLIC CONTRIBUTION

Not applicable for the study design of this scoping review.

An integrated understanding of the impact of hospital at home: a mixed-methods study to articulate and test a programme theory

BACKGROUND

Hospital at Home (HaH) provides intensive, hospital-level care in patients' homes for acute conditions that would normally require hospitalisation, using multidisciplinary teams. As a programme of complex medical-social interventions, a HaH programme theory has not been fully articulated although implicit in the structures, functions, and activities of the existing HaH services. We aimed to unearth the tacit theory from international evidence and test the soundness of it by studying UK HaH services.

METHODS

We conducted a literature review (29 articles) adopting a 'realist review' approach (theory articulation) and examined 11 UK-based services by interviewing up to 3 staff members from each service (theory testing). The review and interview data were analysed using Framework Analysis and Purposive Text Analysis.

RESULTS

The programme theory has three components- the organisational, utilisation and impact theories. The impact theory consists of key assumptions about the change processes brought about by HaH's activities and functions, as detailed in the organisational and utilisation theories. HaH teams should encompass multiple disciplines to deliver comprehensive assessments and have skill sets for physically delivering hospital-level processes of care in the home. They should aim to treat a broad range of conditions in patients who are clinically complex and felt to be vulnerable to hospital acquired harms. Services should cover 7 days a week, have plans for 24/7 response and deliver relational continuity of care through consistent staffing. As a result, patients' and carers' knowledge, skills, and confidence in disease management and self-care should be strengthened with a sense of safety during HaH treatment, and carers better supported to fulfil their role with minimal added care burden.

CONCLUSIONS

There are organisational factors for HaH services and healthcare processes that contribute to better experience of care and outcomes for patients. HaH services should deliver care using hospital level processes through teams that have a focus on holistic and individually tailored care with continuity of therapeutic relationships between professionals and patients and carers resulting in less complexity and fragmentation of care. This analysis informs how HaH services can organise resources and design processes of care to optimise patient satisfaction and outcomes.

The Evolving Practice of Hospital at Home in the United States

Hospital at Home (HaH) provides hospital-level services in the home to eligible patients who would otherwise require facility-based hospitalization. In the last two decades, studies have shown that HaH can improve patient outcomes and satisfaction and reduce hospital readmissions. Improved technology and greater experience with the model have led to expansion in the scope of patients served and services provided by the model, but dissemination in the United States has been hampered by lack of insurance coverage until recently. HaH is likely at the tipping point for wide adoption in the United States. To realize its full benefits, HaH will need to continue volume expansion to achieve culture change in clinical practice as facilitated by increased insurance coverage, technological advancements, and improved workforce expertise. It is also essential that HaH programs maintain high-quality acute hospital care, ensure that their benefits can be accessed by hard-to-reach rural populations, and continue to advance health equity.

Why U.S. Patients Declined Hospital-at-Home during the COVID-19 Public Health Emergency: An Exploratory Mixed Methods Study

To understand why US patients refused participation in hospital-at-home (H@H) during the coronavirus disease 2019 Public Health Emergency, eligible adult patients seen at 2 Mayo Clinic sites, Mayo Clinic Health System-Northwest Wisconsin region (NWWI) and Mayo Clinic Florida (MCF), from August 2021 through March 2022, were invited to participate in a convergent-parallel study. Quantitative associations between H@H participation status and patient baseline data at hospital admission were investigated. H@H patients were more likely to have a Mayo Clinic patient portal at baseline (P-value: .014), indicating a familiarity with telehealth. Patients who refused were more likely to be from NWWI (P-value < .001) and have a higher Epic Deterioration Index score (P-value: .004). The groups also had different quarters (in terms of fiscal calendar) of admission (P-value: .040). Analyzing qualitative interviews (n = 13) about refusal reasons, 2 themes portraying the quantitative associations emerged: lack of clarity about H@H and perceived domestic challenges. To improve access to H@H and increase patient recruitment, improved education about the dynamics of H@H, for both hospital staff and patients, and inclusive strategies for navigating domestic barriers and diagnostic challenges are needed.

Using phenotypic data from the Electronic Health Record (EHR) to predict discharge

BACKGROUND

Timely discharge to post-acute care (PAC) settings, such as skilled nursing facilities, requires early identification of eligible patients. We sought to develop and internally validate a model which predicts a patient's likelihood of requiring PAC based on information obtained in the first 24 h of hospitalization.

METHODS

This was a retrospective observational cohort study. We collected clinical data and commonly used nursing assessments from the electronic health record (EHR) for all adult inpatient admissions at our academic tertiary care center from September 1, 2017 to August 1, 2018. We performed a multivariable logistic regression to develop the model from the derivation cohort of the available records. We then evaluated the capability of the model to predict discharge destination on an internal validation cohort.

RESULTS

Age (adjusted odds ratio [AOR], 1.04 [per year]; 95% Confidence Interval [CI], 1.03 to 1.04), admission to the intensive care unit (AOR, 1.51; 95% CI, 1.27 to 1.79), admission from the emergency department (AOR, 1.53; 95% CI, 1.31 to 1.78), more home medication prescriptions (AOR, 1.06 [per medication count increase]; 95% CI 1.05 to 1.07), and higher Morse fall risk scores at admission (AOR, 1.03 [per unit increase]; 95% CI 1.02 to 1.03) were independently associated with higher likelihood of being discharged to PAC facility. The c-statistic of the model derived from the primary analysis was 0.875, and the model predicted the correct discharge destination in 81.2% of the validation cases.

CONCLUSIONS

A model that utilizes baseline clinical factors and risk assessments has excellent model performance in predicting discharge to a PAC facility.

How is community based 'out-of-hours' care provided to patients with advanced illness near the end of life: A systematic review of care provision

BACKGROUND

Deaths in the community are increasing. However, community palliative care out-of-hours is variable. We lack detailed understanding of how care is provided out-of-hours and the associated outcomes.

AIM

To review systematically the components, outcomes and economic evaluation of community-based 'out-of-hours' care for patients near the end of life and their families.

DESIGN

Mixed method systematic narrative review. Narrative synthesis, development and application of a typology to categorise out-of-hours provision. Qualitative data were synthesised thematically and integrated at the level of interpretation and reporting.

DATA SOURCES

Systematic review searching; MEDLINE, EMBASE, PsycINFO, CINAHL from January 1990 to 1st August 2022.

RESULTS

About 64 publications from 54 studies were synthesised (from 9259 retrieved). Two main themes were identified: (1) importance of being known to a service and (2) high-quality coordination of care. A typology of out-of-hours service provision was constructed using three overarching dimensions (service times, focus of team delivering the care and type of care delivered) resulting in 15 categories of care. Only nine papers were randomised control trials or controlled cohorts reporting outcomes. Evidence on effectiveness was apparent for providing 24/7 specialist palliative care with both hands-on clinical care and advisory care. Only nine publications reported economic evaluation.

CONCLUSIONS

The typological framework allows models of out-of-hours care to be systematically defined and compared. We highlight the models of out-of-hours care which are linked with improvement of patient outcomes. There is a need for effectiveness and cost effectiveness studies which define and categorise out-of-hours care to allow thorough evaluation of services.

Implementation of a virtual and in-person hybrid hospital-at-home model in two geographically separate regions utilizing a single command center: a descriptive cohort study

BACKGROUND

As providers look to scale high-acuity care in the patient home setting, hospital-at-home is becoming more prevalent. The traditional model of hospital-at-home usually relies on care delivery by in-home providers, caring for patients in urban communities through academic medical centers. Our objective is to describe the process and outcomes of Mayo Clinic's Advanced Care at Home (ACH) program, a hybrid virtual and in-person hospital-at-home model combining a single, virtual provider-staffed command center with a vendor-mediated in-person medical supply chain to simultaneously deliver care to patients living near an urban hospital-at-home command center and patients living in a rural region in a different US state and time zone.

METHODS

A descriptive, retrospective medical records review of all patients admitted to ACH between July 6, 2020, and December 31, 2021. Patients were admitted to ACH from an urban academic medical center in Florida and a rural community hospital in Wisconsin. We collected patient volumes, age, sex, race, ethnicity, insurance type, primary hospital diagnosis, 30-day mortality rate, in-program mortality, 30-day readmission rate, rate of return to hospital during acute phase, All Patient Refined-Diagnosis Related Groups (APR-DRG) Severity of Illness (SOI), and length of stay (LOS) in both the inpatient-equivalent acute phase and post-acute equivalent restorative phase.

RESULTS

Six hundred and eighty-six patients were admitted to the ACH program, 408 in Florida and 278 in Wisconsin. The most common diagnosis seen were infectious pneumonia (27.0%), septicemia / bacteremia (11.5%), congestive heart failure exacerbation (11.5%), and skin and soft tissue infections (6.3%). Median LOS in the acute phase was 3 days (IQR 2-5) and median stay in the restorative phase was 22 days (IQR 11-26). In-program mortality rate was 0% and 30-day mortality was 0.6%. The mean APR-DRG SOI was 2.9 (SD 0.79) and the 30-day readmission rate was 9.7%.

CONCLUSIONS

The ACH hospital-at-home model was able to provide both high-acuity inpatient-level care and post-acute care to patients in their homes through a single command center to patients in urban and rural settings in two different geographical locations with favorable outcomes of low mortality and hospital readmissions.

Digital health as an enabler for hospital@home: A rising trend or just a vision?

Background

Hospital@home is a model of healthcare, where healthcare professionals actively treat patients in their homes for conditions that may otherwise require hospitalization. Similar models of care have been implemented in jurisdictions around the world over the past few years. However, there are new developments in health informatics including digital health and participatory health informatics that may have an impact on hospital@home approaches.

Objectives

This study aims to identify the current state of implementation of emerging concepts into the hospital@home research and models of care; to identify strengths and weaknesses, opportunities, and threats associated with the models of care; and to suggest a research agenda.

Methods

We employed two research methodologies, namely, a literature review and a SWOT (strengths, weaknesses, opportunities, and threats) analysis. The literature from the last 10 years was collected from PubMed using the search string "hospital at home" OR "care at home" OR "patient at home." Relevant information was extracted from the included articles.

Results

Title and abstract review were conducted on 1,371 articles. The full-text review was conducted on 82 articles. Data were extracted from 42 articles that met our review criteria. Most of the studies originated from the United States and Spain. Several medical conditions were considered. The use of digital tools and technologies was rarely reported. In particular, innovative approaches such as wearables or sensor technologies were rarely used. The current landscape of hospital@home models of care simply delivers hospital care in the patient's home. Tools or approaches from taking a participatory health informatics design approach involving a range of stakeholders (such as patients and their caregivers) were not reported in the literature reviewed. In addition, emerging technologies supporting mobile health applications, wearable technologies, and remote monitoring were rarely discussed.

Conclusion

There are multiple benefits and opportunities associated with hospital@home implementations. There are also threats and weaknesses associated with the use of this model of care. Some weaknesses could be addressed by using digital health and wearable technologies to support patient monitoring and treatment at home. Employing a participatory health informatics approach to design and implementation could help to ensure the acceptance of such care models.

Developing new hospital-at-home models based on Comprehensive Geriatric Assessment: Implementation recommendations by the Working Group on Hospital-at-Home and Community Geriatrics of the Catalan Society of Geriatrics and Gerontology

Last decade, the Government of Catalonia have urged an integrated care strategy for planning the care model to older populations living with frailty, multimorbidity and advanced illnesses. Based on international evidence that was reviewed by a group of experts from the Catalan Society of Gerontology and Geriatrics, we summarised some recommendation to adapt hospital-at-home care to older populations in our system. We defined Comprehensive Geriatric Assessment (CGA) hospital-at-home (HaH) as a specialised home hospitalisation service formed by interdisciplinary teams, characterised by using the clinical methodology of CGA, and by adapting geriatric units' protocols for the provision of person-centred care at home. Main benefits of CGA-HaH in these populations are: response to heath crises according to individualised care plans based on the situational diagnosis carried out by Primary Care teams; provision of a comprehensive health and social approach tailored to the complexity of cases and situations; and adaptation of multipurpose hospitalisation, by working on different person-centred care, aspects, such as caregivers support on care provision, focusing on function or home adaptation.

Hospital-Level Care at Home for Patients With Acute Respiratory Disease: A Descriptive Analysis

BACKGROUND

Home hospital (HH) care is hospital-level substitutive care delivered at home for acutely ill patients who traditionally would be cared for in the hospital. Despite HH care programs operating successfully for years and scientific evidence of similar or better outcomes compared with bricks-and-mortar care, HH care outcomes in the United States for respiratory disease have not been evaluated.

RESEARCH QUESTION

Do outcomes differ between patients admitted to HH care with acute respiratory illness vs those with other acute general medical conditions?

STUDY DESIGN AND METHODS

This was a retrospective evaluation of prospectively collected data of patients admitted to HH care (2017-2021). We compared patients requiring admission with respiratory disease (asthma exacerbation [26%], acute exacerbation of COPD [33%], and non-COVID-19 pneumonia [41%]) to all other patients admitted to HH care. During HH care, patients received two nurse and one physician visit daily, IV medications, advanced respiratory therapies, and continuous heart and respiratory rate monitoring. Main outcomes were acute and postacute health care use and safety.

RESULTS

We analyzed 1,031 patients; 24% were admitted for respiratory disease. Patients with and without respiratory disease were similar: mean age, 68 ± 17 years, 62% women, and 48% White. Patients with respiratory disease more often were active smokers (21% vs 9%; P < .001). Eighty percent of patients showed an FEV₁ to FVC ratio of ≤ 70; 28% showed a severe or very severe obstructive pattern (n = 118). During HH care, patients with respiratory disease showed less health care use: length of stay (mean, 3.4 vs 4.6 days), laboratory orders (median, 0 vs 2), IV medication (43% vs 73%), and specialist consultation (2% vs 7%; P < .001 for all). Ninety-six percent of patients completed the full admission at home with no mortality in the respiratory group. Within 30 days of discharge, both groups showed similar readmission, ED presentation, and mortality rates.

INTERPRETATION

HH care is as safe and effective for patients with acute respiratory disease as for those with other acute general medical conditions. If scaled, it can generate significant high-value capacity for health systems and communities, with opportunities to advance the complexity of care delivered.

A research agenda for hospital at home

BACKGROUND

Hospital at home (HaH) provides hospital-level care at home as a substitute for traditional hospital care. Interest in HaH is increasing markedly. While multiple studies of HaH have demonstrated that HaH provides safe, high-quality, cost-effective care, there remain many unanswered research questions. The objective of this study is to develop a research agenda to guide future HaH-related research.

METHODS

Survey of attendees of first World HaH Congress 2019 for input on research for the future HaH development. Selection and ranking of important topic areas for future HaH-related research. Development of research domains and research questions and issues using grounded theory approach, supplemented by focused literature reviews.

RESULTS

240 conference attendees responded to the survey (response rate, 55.3%). The majority were from Europe (64%) and North America (11%) and were HaH program leaders (29%), HaH physicians (27%), and researchers (13%). Nine research domains for future HaH research were identified: 1) definition of the HaH model of care; 2) the HaH clinical model; 3) measurement and outcomes of HaH; 4) patient and caregiver experience with HaH; 5) education and training of HaH clinicians; 6) technology and telehealth for HaH; 7) regulatory and payment issues in HaH; 8) implementation and scaling of HaH; and 9) ethical issues in HaH. Key research issues and questions were identified for each domain.

CONCLUSIONS

While highly evidence-based, unanswered research questions regarding HaH remain, focusing research efforts on the domains identified in this study will serve to improve HaH for all key HaH stakeholders.

Geriatric home-based rehabilitation in Australia: Preliminary data from an inpatient bed-substitution model

Background

The REStORing health of acutely unwell adulTs (RESORT) is an observational longitudinal cohort, including geriatric rehabilitation inpatients aged ≥65 years admitted to a geriatrician‐led rehabilitation service at a tertiary hospital. The aim of this study is to describe a home‐based bed‐substitution rehabilitation model for geriatric inpatients, including patient phenotype, and health outcomes at preadmission, admission, discharge, and three‐month follow‐up.

Methods

A standardized Comprehensive Geriatric Assessment was performed on admission and discharge, including demographics (home situation, cognitive impairment, medical diagnoses, etc.), frailty (Clinical Frailty Scale (CFS)), mobility (patient‐reported and Functional Ambulation Classification), physical performance (Short Physical Performance Battery (SPPB), handgrip strength), and functional independence (Activities of Daily Living (ADL), Instrumental ADL (IADL)). Service provision data (health care staff visits, length of stay (LOS), and negative events (e.g., falls)) were extracted from medical records. Three‐month outcomes included mobility, ADL and IADL scores, institutionalization, and mortality.

Results

Ninety‐two patients were included with a mean age of 81.1 ± 7.8 years, 56.5% female. Twenty‐nine (31.5%) patients lived alone, 39 (42.4%) had cognitive impairment and the commonest geriatric rehabilitation admission reason was falls (n = 30, 32.6%). Patients received care from nurses, physicians, and a median of four (interquartile range (IQR) 3–6) allied health disciplines for a median LOS of 13.0 days (IQR 10.0–15.0). On a population level, patient mobility and functional independence worsened from preadmission to admission. CFS, SPPB, ADL, and IADL scores improved from admission to discharge, and seven (7.6%) patients fell. At three‐month follow‐up, patient‐reported mobility was comparable to preadmission baseline, but functional independence (ADL, IADL) scores worsened for 27/69 (39.1%) and 28/63 (44.4%), respectively.

Conclusions

Hospitalization‐associated decline in mobility and functional independence improved at discharge and three‐months, but was not fully reversed in the multidisciplinary home‐based geriatric rehabilitation bed‐substitution service. Future research should compare outcomes to equivalent hospital‐based geriatric rehabilitation and evaluate patient perspectives.

See related Editorial by William J. Hall in this issue.

Telehealth's New Horizon: Providing Smart Hospital-Level Care in the Home

During the COVID-19 pandemic, medical providers have expanded telehealth into daily practice, with many medical and behavioral health care visits provided remotely over video or through phone. The telehealth market was already facilitating home health care with increasing levels of sophistication before COVID-19. Among the emerging telehealth practices, telephysical therapy; teleneurology; telemental health; chronic care management of congestive heart failure, chronic obstructive pulmonary disease, diabetes; home hospice; home mechanical ventilation; and home dialysis are some of the most prominent. Home telehealth helps streamline hospital/clinic operations and ensure the safety of health care workers and patients. The authors recommend that we expand home telehealth to a comprehensive delivery of medical care across a distributed network of hospitals and homes, linking patients to health care workers through the Internet of Medical Things using in-home equipment, including smart medical monitoring devices to create a "medical smart home." This expanded telehealth capability will help doctors care for patients flexibly, remotely, and safely as a part of standard operations and during emergencies such as a pandemic. This model of "telehomecare" is already being implemented, as shown herein with examples. The authors envision a future in which providers and hospitals transition medical care delivery to the home just as, during the COVID-19 pandemic, students adapted to distance learning and adults transitioned to remote work from home. Many of our homes in the future may have a "smart medical suite" as well as a "smart home office."

The unique role of the social worker within the Hospital at Home care delivery team

Hospital at Home (HaH) provides acute, hospital-level care at home and post-discharge follow-up. Through a review of 293 HaH admissions conducted by an urban, multidisciplinary HaH program from 2014 to 2017, we find that the social worker is involved in 71% of admissions and plays a crucial role in pre-emergency department discharge home care and safety screening, home intake, follow-up support, and transition of care to primary care providers and community-based services. We describe the social work activities involved in this model of care and present composite case studies for further illustration.

Hospital to Community Transitions for Older Adults: An Update for the Practicing Clinician

Spurred by changes in both population demographics and health care reimbursement, health care providers are responding by using new models to more fully support the posthospital transition. This paper reviews common models for posthospital transition and also describes the Mayo Clinic model for care transition. Models are designed with the intent of managing the cost of health care by reducing 30-day hospital readmissions and improving management of chronic disease. Meta-analyses have proved helpful in identifying the most effective program elements designed to reduce 30-day hospital readmissions. These elements include a bundled and multidisciplinary approach to best meet the needs of patients. Successful care teams also emphasize self-empowerment for both patients and caregivers. There are 2 general types of practice. In 1 model, introduced by Mary Naylor, an advanced-practice provider cares for the patient for a set period of time, which includes home visits. In the second model, introduced by Eric Coleman, a transitions coach, who can be an RN, a social worker, or a trained volunteer, serves as the health care coach, while improving self-efficacy. Both models have been successful. At Mayo Clinic, the Mayo Clinic Care Transitions program has encompassed a 7-year experience, using the services of an advanced practice provider. In previous studies, this model demonstrated a 20.1% (95% confidence interval [CI], 15.8 to 24.1%) decrease in 30-day readmission in controls compared with 12.4% (95% CI, 8.9 to 15.7%) in the control group. Although this model was successful in reducing 30-day readmissions, there was no difference between groups at 180 days. In patients experiencing the highest deciles of cost (8th decile), enrollment in a care transitions program reduced their overall cost by $2700. This cost savings was statistically significant. Both patients and caregivers participating in the program appreciated the home visits and felt more comfortable communicating at home.

Multiple chronic conditions at a major urban health system: a retrospective cross-sectional analysis of frequencies, costs and comorbidity patterns

OBJECTIVE

To (1) examine the burden of multiple chronic conditions (MCC) in an urban health system, and (2) propose a methodology to identify subpopulations of interest based on diagnosis groups and costs.

DESIGN

Retrospective cross-sectional study.

SETTING

Mount Sinai Health System, set in all five boroughs of New York City, USA.

PARTICIPANTS

192 085 adult (18+) plan members of capitated Medicaid contracts between the Healthfirst managed care organisation and the Mount Sinai Health System in the years 2012 to 2014.

METHODS

We classified adults as having 0, 1, 2, 3, 4 or 5+ chronic conditions from a list of 69 chronic conditions. After summarising the demographics, geography and prevalence of MCC within this population, we then described groups of patients (segments) using a novel methodology: we combinatorially defined 18 768 potential segments of patients by a pair of chronic conditions, a sex and an age group, and then ranked segments by (1) frequency, (2) cost and (3) ratios of observed to expected frequencies of co-occurring chronic conditions. We then compiled pairs of conditions that occur more frequently together than otherwise expected.

RESULTS

61.5% of the study population suffers from two or more chronic conditions. The most frequent dyad was hypertension and hyperlipidaemia (19%) and the most frequent triad was diabetes, hypertension and hyperlipidaemia (10%). Women aged 50 to 65 with hypertension and hyperlipidaemia were the leading cost segment in the study population. Costs and prevalence of MCC increase with number of conditions and age. The disease dyads associated with the largest observed/expected ratios were pulmonary disease and myocardial infarction. Inter-borough range MCC prevalence was 16%.

CONCLUSIONS

In this low-income, urban population, MCC is more prevalent (61%) than nationally (42%), motivating further research and intervention in this population. By identifying potential target populations in an interpretable manner, this segmenting methodology has utility for health services analysts.

Starting Up a Hospital at Home Program: Facilitators and Barriers to Implementation

BACKGROUND

Hospital at home (HaH) is a model of care that provides acute-level services in the home. HaH has been shown to improve quality and patient satisfaction, and reduce iatrogenesis and costs. Uptake of HaH in the United States has been limited, and little research exists on how to implement it successfully.

OBJECTIVES

This study examined facilitators and barriers to implementation of an HaH program.

DESIGN

A HaH program that included a 30-day transitional care bundle following the acute stay was implemented through a Centers for Medicare & Medicaid Services Innovations Award. Informants completed a priming table describing initial implementation components, their barriers, and facilitators. These were followed up with semistructured focus groups and individual interviews that were transcribed and independently coded using thematic analysis by two independent investigators.

SETTING

Large urban academic health system.

PARTICIPANTS

Clinical and administrative personnel from Mount Sinai, the Visiting Nurse Service of New York, and executive leaders at partner organizations (laboratory, pharmacy, radiology, and transportation).

RESULTS

To facilitate successful development and implementation of a high-quality HaH program, a number of barriers needed to be overcome through significant teamwork and communication internally with policymakers and external partners. Areas of paramount importance include facilitating work-arounds to regulatory barriers and health system policies; altering an electronic health record that was not designed for HaH; developing the necessary payment and billing mechanisms; and building effective and collaborative partnerships and communication with outside vendors.

CONCLUSION

Development of HaH programs in the United States are feasible but require strategic planning and development of strong, tightly coordinated partnerships. J Am Geriatr Soc 67:588-595, 2019.