Managing Disruptions to Patient Flow Capacity: Rapid-Cycle Improvement in a Pediatric Cardiac Procedure Complex

ObjectivesTo systematically review the evidence base for a systems approach to healthcare design, delivery or improvement.DesignSystematic review with meta-analyses.MethodsIncluded were studies in any patients, in any healthcare setting where a systems approach was compared with usual care which reported quantitative results for any outcomes for both groups. We searched Medline, Embase, HMIC, Health Business Elite, Web of Science, Scopus, PsycINFO and CINAHL from inception to 28 May 2019 for relevant studies. These were screened, and data extracted independently and in duplicate. Study outcomes were stratified by study design and whether they reported patient and/or service outcomes. Meta-analysis was conducted with Revman software V.5.3 using ORs—heterogeneity was assessed using I2 statistics.ResultsOf 11 405 records 35 studies were included, of which 28 (80%) were before-and-after design only, five were both before-and-after and concurrent design, and two were randomised controlled trials (RCTs). There was heterogeneity of interventions and wide variation in reported outcome types. Almost all results showed health improvement where systems approaches were used. Study quality varied widely. Exploratory meta-analysis of these suggested favourable effects on both patient outcomes (n=14, OR=0.52 (95% CI 0.38 to 0.71) I2=91%), and service outcomes (n=18, OR=0.40 (95% CI 0.31 to 0.52) I2=97%).ConclusionsThis study suggests that a systems approaches to healthcare design and delivery results in a statistically significant improvement to both patient and service outcomes. However, better quality studies, particularly RCTs are needed.PROSPERO registration numberCRD42017065920.

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“…The application of standard systems concepts such as systems thinking and complex adaptive systems theory. [56][57][58][59][60]…”

Section: Resultsmentioning

confidence: 99%

Systems approach to health service design, delivery and improvement: a systematic review and meta-analysis

et al. 2021

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Optimizing Operating Room Throughput

Brendel¹

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Practice Problem: Throughput is an instrumental aspect for hospitals to maximize patient capacity; therefore, methods to improve patient flow should be consistently implemented. Surgical areas are a major contributor to inpatient admissions and the subsequent revenue; however, without the appropriate oversight, patient throughput can be negatively impacted. PICOT: The PICOT question that guided this project was: In operating room patients who require inpatient admission (P), how does the implementation of a standardized bed flow process (I), compared to the current methods for care transitions (C), reduce perioperative delays and improve hospital financial metrics (O), over a three-month period (T)? Evidence: A review of the evidence revealed that streamlining operating room throughput was essential to the quality of clinical care and patient safety as well as to improve efficiencies associated with patient volumes, lengths of stay and hospital census. Intervention: A dedicated bed flow manager was implemented in the project setting with the overall goal to enhance throughput measures within the operating room. Outcome: While the intervention did not achieve statistical significance as determined by the data analysis, the results did demonstrate clinical significance as the organization was able to maximize capacity and throughput during the Covid-19 pandemic. Conclusion: The addition of a dedicated surgical bed flow manager was beneficial to the optimization, standardization and systemization of the perioperative throughput process.

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Managing Disruptions to Patient Flow Capacity: Rapid-Cycle Improvement in a Pediatric Cardiac Procedure Complex

Cited by 2 publications

References 19 publications

Systems approach to health service design, delivery and improvement: a systematic review and meta-analysis

Systems approach to health service design, delivery and improvement: a systematic review and meta-analysis

Optimizing Operating Room Throughput

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