Matches in SemOpenAlex for { <https://semopenalex.org/work/W3132375897> ?p ?o ?g. }
- W3132375897 endingPage "103901" @default.
- W3132375897 startingPage "103901" @default.
- W3132375897 abstract "In the face of pressure to contain costs and make best use of scarce nurses, flexible staff deployment (floating staff between units and temporary hires) guided by a patient classification system may appear an efficient approach to meeting variable demand for care in hospitals. We modelled the cost-effectiveness of different approaches to planning baseline numbers of nurses to roster on general medical/surgical units while using flexible staff to respond to fluctuating demand. We developed an agent-based simulation, where hospital inpatient units move between being understaffed, adequately staffed or overstaffed as staff supply and demand (as measured by the Safer Nursing Care Tool patient classification system) varies. Staffing shortfalls are addressed by floating staff from overstaffed units or hiring temporary staff. We compared a standard staffing plan (baseline rosters set to match average demand) with a higher baseline ‘resilient’ plan set to match higher than average demand, and a low baseline ‘flexible’ plan. We varied assumptions about temporary staff availability and estimated the effect of unresolved low staffing on length of stay and death, calculating cost per life saved. Staffing plans with higher baseline rosters led to higher costs but improved outcomes. Cost savings from lower baseline staff mainly arose because shifts were left understaffed and much of the staff cost saving was offset by costs from longer patient stays. With limited temporary staff available, changing from low baseline flexible plan to the standard plan cost £13,117 per life saved and changing from the standard plan to the higher baseline ‘resilient’ plan cost £8,653 per life saved. Although adverse outcomes from low baseline staffing reduced when more temporary staff were available, higher baselines were even more cost-effective because the saving on staff costs also reduced. With unlimited temporary staff, changing from low baseline plan to the standard cost £4,520 per life saved and changing from the standard plan to the higher baseline cost £3,693 per life saved. Shift-by-shift measurement of patient demand can guide flexible staff deployment, but the baseline number of staff rostered must be sufficient. Higher baseline rosters are more resilient in the face of variation and appear cost-effective. Staffing plans that minimise the number of nurses rostered in advance are likely to harm patients because temporary staff may not be available at short notice. Such plans, which rely heavily on flexible deployments, do not represent an efficient or effective use of nurses. Study registration: ISRCTN 12307968 Tweetable abstract: Economic simulation model of hospital units shows low baseline staff levels with high use of flexible staff are not cost-effective and don't solve nursing shortages." @default.
- W3132375897 created "2021-03-01" @default.
- W3132375897 creator A5039904954 @default.
- W3132375897 creator A5049285439 @default.
- W3132375897 creator A5068531680 @default.
- W3132375897 creator A5072234007 @default.
- W3132375897 creator A5072579717 @default.
- W3132375897 date "2021-05-01" @default.
- W3132375897 modified "2023-10-02" @default.
- W3132375897 title "Beyond ratios - flexible and resilient nurse staffing options to deliver cost-effective hospital care and address staff shortages: A simulation and economic modelling study" @default.
- W3132375897 cites W166560170 @default.
- W3132375897 cites W1977400889 @default.
- W3132375897 cites W1991305431 @default.
- W3132375897 cites W2001487062 @default.
- W3132375897 cites W2032993287 @default.
- W3132375897 cites W2035914323 @default.
- W3132375897 cites W2050739045 @default.
- W3132375897 cites W2081035678 @default.
- W3132375897 cites W2111149452 @default.
- W3132375897 cites W2121794215 @default.
- W3132375897 cites W2133104890 @default.
- W3132375897 cites W2134719072 @default.
- W3132375897 cites W2159874007 @default.
- W3132375897 cites W2163208750 @default.
- W3132375897 cites W2301515906 @default.
- W3132375897 cites W2331934796 @default.
- W3132375897 cites W2335745762 @default.
- W3132375897 cites W2736378084 @default.
- W3132375897 cites W2792314241 @default.
- W3132375897 cites W2797334316 @default.
- W3132375897 cites W2800514551 @default.
- W3132375897 cites W2800704113 @default.
- W3132375897 cites W2891377466 @default.
- W3132375897 cites W2902217659 @default.
- W3132375897 cites W2931042820 @default.
- W3132375897 cites W2936826173 @default.
- W3132375897 cites W2943800170 @default.
- W3132375897 cites W2974570490 @default.
- W3132375897 cites W2989852956 @default.
- W3132375897 cites W3012199246 @default.
- W3132375897 cites W3013924088 @default.
- W3132375897 doi "https://doi.org/10.1016/j.ijnurstu.2021.103901" @default.
- W3132375897 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/8220646" @default.
- W3132375897 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/33677251" @default.
- W3132375897 hasPublicationYear "2021" @default.
- W3132375897 type Work @default.
- W3132375897 sameAs 3132375897 @default.
- W3132375897 citedByCount "24" @default.
- W3132375897 countsByYear W31323758972021 @default.
- W3132375897 countsByYear W31323758972022 @default.
- W3132375897 countsByYear W31323758972023 @default.
- W3132375897 crossrefType "journal-article" @default.
- W3132375897 hasAuthorship W3132375897A5039904954 @default.
- W3132375897 hasAuthorship W3132375897A5049285439 @default.
- W3132375897 hasAuthorship W3132375897A5068531680 @default.
- W3132375897 hasAuthorship W3132375897A5072234007 @default.
- W3132375897 hasAuthorship W3132375897A5072579717 @default.
- W3132375897 hasBestOaLocation W31323758971 @default.
- W3132375897 hasConcept C105339364 @default.
- W3132375897 hasConcept C111368507 @default.
- W3132375897 hasConcept C111919701 @default.
- W3132375897 hasConcept C12725497 @default.
- W3132375897 hasConcept C127313418 @default.
- W3132375897 hasConcept C127413603 @default.
- W3132375897 hasConcept C138885662 @default.
- W3132375897 hasConcept C144133560 @default.
- W3132375897 hasConcept C159110408 @default.
- W3132375897 hasConcept C160735492 @default.
- W3132375897 hasConcept C162324750 @default.
- W3132375897 hasConcept C194051981 @default.
- W3132375897 hasConcept C21547014 @default.
- W3132375897 hasConcept C2777512617 @default.
- W3132375897 hasConcept C2777620637 @default.
- W3132375897 hasConcept C2778137410 @default.
- W3132375897 hasConcept C41008148 @default.
- W3132375897 hasConcept C41895202 @default.
- W3132375897 hasConcept C50522688 @default.
- W3132375897 hasConcept C545542383 @default.
- W3132375897 hasConcept C71924100 @default.
- W3132375897 hasConceptScore W3132375897C105339364 @default.
- W3132375897 hasConceptScore W3132375897C111368507 @default.
- W3132375897 hasConceptScore W3132375897C111919701 @default.
- W3132375897 hasConceptScore W3132375897C12725497 @default.
- W3132375897 hasConceptScore W3132375897C127313418 @default.
- W3132375897 hasConceptScore W3132375897C127413603 @default.
- W3132375897 hasConceptScore W3132375897C138885662 @default.
- W3132375897 hasConceptScore W3132375897C144133560 @default.
- W3132375897 hasConceptScore W3132375897C159110408 @default.
- W3132375897 hasConceptScore W3132375897C160735492 @default.
- W3132375897 hasConceptScore W3132375897C162324750 @default.
- W3132375897 hasConceptScore W3132375897C194051981 @default.
- W3132375897 hasConceptScore W3132375897C21547014 @default.
- W3132375897 hasConceptScore W3132375897C2777512617 @default.
- W3132375897 hasConceptScore W3132375897C2777620637 @default.
- W3132375897 hasConceptScore W3132375897C2778137410 @default.
- W3132375897 hasConceptScore W3132375897C41008148 @default.
- W3132375897 hasConceptScore W3132375897C41895202 @default.
- W3132375897 hasConceptScore W3132375897C50522688 @default.