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Interventions To Decrease Hospital Length of Stay

The goals of this Technical Brief are to (1) categorize and evaluate current knowledge regarding strategies to reduce length of stay (LOS) for medically complex, high-risk, or vulnerable patients at increased risk of extended LOS; (2) examine contextual factors (e.g., resources, costs, staffing, technology) that affect implementation of LOS-focused interventions; (3) identify emerging concepts or initiatives that may merit future research; and (4) develop a series of evidence maps to inform health systems' strategic efforts for LOS reduction in these populations.

  • Few studies have evaluated system-level interventions focused on medically complex, high-risk, or vulnerable patient populations, including frail elderly patients and those with complex chronic illness. Strategies assessed in multiple systematic reviews include geriatric consultation services and early specialized discharge planning.
  • Substantial research gaps need to be addressed, including interventions for socially or economically vulnerable populations and patients with psychiatric or substance use disorders, contextual factors affecting feasibility of implementation, and the resources and potential savings associated with interventions to reduce LOS.
  • Hospital administrative leaders, researchers, and policymakers can work to reduce LOS by improving research practice, developing targeted health system interventions, and collaboratively addressing the social care needs of medically complex and vulnerable patient populations.
  • Two interventions (clinical pathways and case management) improved key outcomes for patients with heart failure. Clinical pathways reduced LOS, readmission, and mortality (low to moderate quality evidence from a single systematic review). Similarly, case management decreased LOS and readmissions (moderate quality evidence from a single systematic review). More research is needed to confirm these findings.
  • For other interventions, evidence for LOS reduction was inconsistent. Only limited evidence was available for other post-discharge adverse outcomes (hospital readmission, mortality).
  • The evidence base examining strategies for reducing LOS is large but focuses primarily on average-risk patients undergoing elective surgery or specialized procedures, who were not the focus of this Technical Brief.

Background. Timely discharge of hospitalized patients can prevent patient harm, improve patient satisfaction and quality of life, and reduce costs. Numerous strategies have been tested to improve the efficiency and safety of patient recovery and discharge, but hospitals continue to face challenges.

Purpose. This Technical Brief aimed to identify and synthesize current knowledge and emerging concepts regarding systematic strategies that hospitals and health systems can implement to reduce length of stay (LOS), with emphasis on medically complex or vulnerable patients at high risk for prolonged LOS due to clinical, social, or economic barriers to timely discharge.

Methods. We conducted a structured search for published and unpublished studies and conducted interviews with Key Informants representing vulnerable patients, hospitals, health systems, and clinicians. The interviews provided guidance on our research protocol, search strategy, and analysis. Due to the large and diverse evidence base, we limited our evaluation to systematic reviews of interventions to decrease hospital LOS for patients at potentially higher risk for delayed discharge; primary research studies were not included, and searches were restricted to reviews published since 2010. We cataloged the characteristics of relevant interventions and assessed evidence of their effectiveness.

Findings. Our searches yielded 4,364 potential studies. After screening, we included 19 systematic reviews reported in 20 articles. The reviews described eight strategies for reducing LOS: discharge planning; geriatric assessment or consultation; medication management; clinical pathways; inter- or multidisciplinary care; case management; hospitalist services; and telehealth. All reviews included adult patients, and two reviews also included children. Interventions were frequently designed for older (often frail) patients or patients with chronic illness. One review included pregnant women at high risk for premature delivery. No reviews focused on factors linking patient vulnerability with social determinants of health.

The reviews reported few details about hospital setting, context, or resources associated with the interventions studied. Evidence for effectiveness of interventions was generally not robust and often inconsistent—for example, we identified six reviews of discharge planning; three found no effect on LOS, two found LOS decreased, and one reported an increase. Many reviews also reported patient readmission rates and mortality but with similarly inconsistent results.

Conclusions. A broad range of strategies have been employed to reduce LOS, but rigorous systematic reviews have not consistently demonstrated effectiveness within medically complex, high-risk, and vulnerable populations. Health system leaders, researchers, and policymakers must collaborate to address these needs.

Summary of
Clinical and Policy
Caveats, Applicability,
and Limitations

These findings are based on 19 systematic reviews reported in 20 publications. The interventions reported in the systematic reviews included: Discharge planning, Geriatric assessment or consultation, Medication management, Clinical pathways, Inter- or multidisciplinary care, Case management, Hospitalist services, and Telehealth. The single systematic review on hospitalist services reported only narrative findings and is not included in the quantitative findings summarized in this table.

Length of Stay
Intervention Type
Case Management
Clinical Pathways
Discharge Planning
Geriatric Assessment
Interdisciplinary Care
Medication Management
Where links are available within the Report Snapshot tables, clicking the link will take you to the PubMed listing for the studies available within PubMed. Not all studies in all findings are available in PubMed.

We addressed four Guiding Questions (GQ)

The goals of this Technical Brief are to 1) categorize and evaluate current knowledge regarding strategies to reduce length of stay (LOS) for medically complex, high-risk, or vulnerable patients at increased risk of extended LOS; 2) examine contextual factors (e.g., resources, costs, staffing, technology) that affect implementation of LOS-focused interventions; 3) identify emerging concepts or initiatives that may merit future research; and 4) develop a series of evidence maps to inform health systems' strategic efforts for LOS reduction in these populations.

GQ 1: What are the characteristics of interventions to decrease length of hospital stay, and how do they vary?

GQ 2: What are the contextual factors (e.g., resources, staffing, technology) that impact implementation of interventions to decrease hospital length of stay?

GQ 3: What is the current evidence addressing interventions to decrease hospital length of stay?

GQ 4: What future research is needed to close evidence gaps regarding interventions to decrease length of hospital stay?

PICOTS and inclusion criteria

Category Criteria
Population Include hospitalized children and adults (including pregnant women) with one or more of the following risk factors for prolonged length of stay (LOS), harms, or adverse outcomes:

Vulnerable populations:
  • high levels of socioeconomic risk (e.g., housing instability, social isolation, social vulnerability, social mobility, lack of social network, lack of social support, limited access to healthcare services or social services, rural settings)
  • medically uninsured, underinsured
  • hospitalization at safety-net, tertiary, or quaternary care institution
  • limited English proficiency
Medically complex patients:
  • comorbid psychiatric or behavioral health conditions
  • comorbid substance use disorder
  • frailty
  • multimorbidity (≥2 chronic health conditions)
  • high volume chronic disease conditions with significant risk of exacerbation or complications, including chronic kidney disease, diabetes, congestive heart failure, and chronic obstructive pulmonary disease
Exclude patients undergoing non-emergent or elective procedures
Interventions Include interventions that are:
  • initiated within the hospital; and
  • designed (at least in part) to evaluate LOS

Examples include but are not limited to: clinical pathways, enhanced recovery programs, discharge planning, case management, multidisciplinary teams

Exclude interventions that are:
  • initiated, managed, or implemented by entities wholly external to the hospital setting; or
  • are not intended or expected to reduce LOS

Examples include but are not limited to ambulatory clinic follow-up visits, community-based support resources, regulatory policies, third-party reimbursement programs

Comparators Include: Usual care; any comparison; other active intervention
Outcomes Include
  • Length of stay, length of stay index
  • Readmission
  • Patient harms, such as hospital-acquired conditions and medical errors
  • Patient experience/satisfaction
  • Patient functional return
  • Clinician/staff satisfaction
  • Resource use including patient flow and discharge disposition
Exclude studies that only describe cost-related outcomes without reporting LOS, exclude cost related outcomes that do not quantify valuations of both comparisons or alternative interventions (including usual or standard of care) and both of their associated outcomes
Timing Include: All
Setting Include
  • acute care hospitalizations in general or pediatric hospitals
  • reviews of studies conducted in the United States
  • reviews focused solely on intensive care unit stays, emergency departments, or observation units
  • specialty hospitals (e.g., psychiatric, ophthalmologic, orthopedic, cancer, rehabilitation, long-term acute care)
  • reviews of studies conducted solely outside the U.S.

Evidence Base

Our search of the published literature identified 4,364 potentially relevant studies, of which we excluded 1,227 at the title level (not relevant). We excluded 2,725 studies during abstract screening for one of the following reasons: intervention, population, or care setting was not relevant, the study design did not meet our inclusion criteria (e.g., narrative review), the abstract did not address one of the Guiding Questions (GQs), key outcomes were not reported, or studies in the systematic review were either conducted solely outside the United States or 50 percent or more of the studies reporting hospital length of stay (LOS) were conducted outside the United States. The most common reason a described intervention was considered "not relevant" was because it was not a hospital or health system-led intervention. This resulted in full-text screening of 412 articles. We excluded 392 studies at the full-text level. Reasons for exclusion at this level were similar to reasons listed for the abstract level (see Appendix B). We also received three studies through the Agency for Healthcare Research and Quality (AHRQ's) Supplemental Evidence and Data submission process. We excluded all three studies because they were not systematic reviews.

We included 19 systematic reviews in 20 publications, 1 of which was identified in our grey literature search.

Challenges for Local Implementation

To gauge to what extent these interventions might be successfully implemented for reducing LOS and improving other outcomes in a local setting, hospital administrators benefit from details about the local context and implementation factors (e.g., process and resources required). However, SRs provided only limited information. Thirteen reviews (in 14 articles) all described interventions conducted in multiple types of hospitals, including academic medical centers, community hospitals, and less frequently, Veterans Affairs hospitals. Only five reviews reported whether all included studies were conducted in urban, suburban, or rural settings, and few reviews reported hospital bed size or affiliation with a health system. In addition, the process and resources used to support implementation were often not reported. Not all primary studies informing the systematic reviews provided details about the expertise of staff leading and implementing interventions. For instance, for discharge planning interventions, only one review specified that included study interventions were led by a nurse practitioner. Otherwise, systematic reviews simply indicated a provider (e.g., nurse, clinician) or multidisciplinary team led or participated in implementing the intervention. Availability of current resources, such as staff with particular expertise, will undoubtedly affect the feasibility of successfully implementing many interventions. For example, several systematic reviews evaluated geriatric assessment, which often involved specialized assessment by a geriatrician. However, hospitals or health systems may not necessarily have a geriatrician to lead this intervention and may instead engage staff members for training to deliver this intervention, which may affect ultimate success.

Ultimately, we did not find evidence that most interventions have been widely replicated or scaled with sufficient detail or context to adequately inform local implementation.

Trade-Offs and Implications

System-level interventions have the potential to create trade-offs between outcomes, such as LOS and postdischarge adverse outcomes (e.g., hospital readmission, mortality). All systematic reviews in our evidence base reported LOS, and most reported readmissions and mortality. However, the manner in which outcomes were measured varied. Not only is it important for studies to evaluate these outcomes collectively, but also to standardize the way outcomes are reported.

Our findings suggest that, at present, no existing intervention or approach can be implemented to decrease LOS for broad populations of medically complex, high-risk, or otherwise vulnerable patient populations. Attempting to implement an unfocused broad-based intervention across varied populations may have unintended consequences and lead to worse outcomes. Hospitals and health systems may need to carefully consider their own local contexts and populations when assessing whether particular interventions would be a good fit. Input from our Key Informants emphasized the importance of considering factors associated with social care needs and ways to address these needs when seeking to reduce LOS with a system-level intervention. Building relationships and establishing partnerships with community organizations may help hospitals and health systems leverage resources to support and manage needs of medically complex, high-risk, and vulnerable patients postdischarge.

Finally, interpretation of these findings should also consider several key additional factors. Systematic review design lags behind primary research. Thus, our evidence base may not reflect the most recent findings or evolving interventions yet to be synthesized in published reviews. Moreover, the evidence we reviewed was generated before the COVID-19 pandemic. It is likely that the pandemic has led hospitals to innovate in myriad ways that may affect hospital care, LOS, and other critical outcomes that we cannot yet assess. Additionally, we focused on medically complex, high-risk, and vulnerable patient populations, including those at high socioeconomic risk of poor medical outcomes, but found little direct evidence on socioeconomically disadvantaged patients. Emerging efforts to address longstanding social, economic, and health inequities may yield new insights on how to best design care to benefit these patients.

Overall, understanding the unique challenges and needs of a hospital or health system and its surrounding community may help inform the development of a strategic plan to implement a system-level intervention to reduce hospital LOS and provide high-quality care for the patient populations served.

Next Steps

Hospital Administrative Leaders Can Do the Following:

  • Understand different populations with varying risk levels within hospitals attempting to reduce LOS.
  • Explore specific interventions matched to medically complex, high-risk, and vulnerable populations with higher LOS.
  • Maximize expertise of current staff when identifying and implementing system-level intervention (e.g., clinical pathways, geriatric assessment).
  • Understand tradeoffs between reducing LOS in medically complex, high-risk, and vulnerable populations and other patient-centered outcomes (e.g., functional decline, patient experience, mortality, readmissions) and patient safety and quality metrics.
  • Evaluate opportunities to support research and implementation of system-level interventions targeting medically complex, high-risk, or vulnerable populations.
  • Work with policymakers to identify best approaches to reducing hospital LOS in U.S. healthcare delivery systems.


Researchers Can Do the Following:

  • Conduct research focused on general medical and surgical ward inpatients.
  • Provide sufficient operational context about how interventions were implemented in primary studies and evidence syntheses.
  • Report details about local hospital settings where initiatives to reduce LOS have been implemented (e.g., patient volume, bed size, payer mix) in primary studies and evidence syntheses.
  • Assess health information technology's role in supporting interventions to reduce LOS and identify opportunities to develop or adapt technology to support new initiatives.
  • Include and subgroup patients facing severe social and economic barriers to achieving and maintaining wellness before, during, and after hospitalization in primary studies evaluating system-level interventions to decrease LOS.
  • Evaluate how health systems can address the unique challenges pediatric populations' face, specifically those that are susceptible to many sources of social and economic vulnerability.
  • Examine enhanced recovery programs and patient mobility programs in medically complex or otherwise vulnerable patient populations.
  • Conduct well-designed systematic reviews, such as those assessing both the risk of bias of primary studies and providing the strategy for the literature search.


Policymakers Can Do the Following:

  • Support new research and development with additional funding of both primary research and evidence synthesis applicable to the unique characteristics of the U.S. healthcare delivery system.
  • Address the role of LOS — as both a metric and a concept — in value-based reimbursement systems.


This review does not provide cost information.


Inconsistent Evidence on Effectiveness of Interventions

The evidence base highlights inconsistencies on the effectiveness of interventions to reduce LOS; no intervention demonstrated a clear direction of effect. For example, three systematic reviews evaluating discharge planning compared with usual care in either older adults or patients with chronic conditions found no difference between groups for LOS, while two found that discharge planning decreased LOS, and one found that discharge planning increased LOS. Similarly, findings varied for readmissions and mortality. Reviews examining geriatric assessment, decision support, interdisciplinary care, and telehealth also reported heterogeneous and sometimes inconsistent findings for quantitative syntheses. However, one SR examining case management and one SR assessing clinical pathways in patients with heart failure found a reduction in LOS, a lower risk of readmissions, and a lower risk or odds of mortality compared with usual care. The findings suggest that case management or clinical pathways may have a consistent direction of effect for these outcomes in patients with heart failure, but more research is needed.

Siddique SM, Tipton K, Leas B, et al. Interventions to Reduce Hospital Length of Stay in High-risk Populations: A Systematic Review. JAMA Netw Open. 2021;4(9):e2125846. DOI: 10.1001/jamanetworkopen.2021.25846

Tipton K, Leas BF, Mull NK, Siddique SM, Greysen SR, Lane-Fall MB, Tsou AY. Interventions To Decrease Hospital Length of Stay. Technical Brief No. 40. (Prepared by the ECRI–Penn Medicine Evidence-based Practice Center under Contract No. 75Q80120D00002.) AHRQ Publication No. 21-EHC015. Rockville, MD: Agency for Healthcare Research and Quality; September 2021. DOI: 10.23970/AHRQEPCTB40. Posted final reports are located on the Effective Health Care Program search page.

Project Timeline

Interventions to Decrease Hospital Length of Stay

May 28, 2020
Aug 24, 2020
Sep 20, 2021
Technical Brief
Page last reviewed March 2022
Page originally created February 2021

Internet Citation: Technical Brief: Interventions To Decrease Hospital Length of Stay. Content last reviewed March 2022. Effective Health Care Program, Agency for Healthcare Research and Quality, Rockville, MD.

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