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- Dall'Ora, C, et al.
(författare)
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Nurses' 12-hour shifts and missed or delayed vital signs observations on hospital wards: retrospective observational study
- 2019
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Ingår i: BMJ open. - : BMJ. - 2044-6055. ; 9:1, s. e024778-
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Tidskriftsartikel (refereegranskat)abstract
- 12-hour shifts worked by nurses on acute hospital wards have been associated with increased rates of missed care reported by nurses. This study aimed to measure the association between nurses working shifts of at least 12 hours and an objective measure of missed care: vital signs observations taken on time according to an acuity-based surveillance protocol.DesignA retrospective observational study using routinely collected data from March 2012 to March 2015.Setting32 general inpatient wards at a large acute hospital in England.Participants658 628 nursing shifts nested in 24 069 ward days.Outcome measuresThe rate of daily delayed and missed vital signs observations. We focused on situations where vital signs observations were required at least every 4 hours and measured the number of instances where observations were delayed or missed, per 24-hour period. For each ward and each day, shift patterns were characterised in terms of proportion of care hours per patient day deriving from ‘long’ shifts (≥12 hours) for both registered nurses and healthcare assistants.ResultsOn 99 043 occasions (53%), observations were significantly delayed, and on 81 568 occasions (44%), observations were missed. Observations were more likely to be delayed when a higher proportion of the hours worked by healthcare assistants were part of long shifts (IRR=1.05; 95% CI 1.00 to 1.10). No significant association was found in relation to the proportion of hours registered nurses worked as long shifts.ConclusionOn days when a higher proportion of hours worked by healthcare assistants are from long shifts, the risk of delaying vital signs observations is higher, suggesting lower job performance. While longer shifts are thought to require fewer staff resources to maintain nurse-to-patient ratios, any benefits may be lost if staff become less productive.
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| 3. |
- Chow, Clara K., et al.
(författare)
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TEXT messages to improve MEDication adherence and Secondary prevention (TEXTMEDS) after acute coronary syndrome: a randomised clinical trial protocol
- 2018
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Ingår i: BMJ Open. - : BMJ PUBLISHING GROUP. - 2044-6055. ; 8:1
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Tidskriftsartikel (refereegranskat)abstract
- Background Identifying simple, low-cost and scalable means of supporting lifestyle change and medication adherence for patients following a cardiovascular (CV) event is important. Objective The TEXTMEDS (TEXT messages to improve MEDiGation adherence and Secondary prevention) study aims to investigate whether a cardiac education and support programme sent via mobile phone text message improves medication adherence and risk factor levels in patients following an acute coronary syndrome (ACS). Study design A single-blind, multicentre, randomised clinical trial of 1400 patients after an ACS with 12 months follow-up. The intervention group will receive multiple weekly text messages that provide information, motivation, support to adhere to medications, quit smoking (if relevant) and recommendations for healthy diet and exercise. The primary endpoint is the percentage of patients who are adherent to cardioprotective medications and the key secondary outcomes are mean systolic blood pressure (BP) and low density lipoprotein cholesterol. Secondary outcomes will also include total cholesterol, mean diastolic BP, the percentage of participants who are adherent to each cardioprotective medication class, the percentage of participants who achieve target levels of CV risk factors, major vascular events, hospital readmissions and all-cause mortality. The study will be augmented by formal economic and proGess evaluations to assess acceptability, utility and Gost-effectiveness. Summary The study will provide multicentre randomised trial evidence of the effects of a text message-based programme on cardioprotective medication adherence and levels of CV risk factors. Ethics and dissemination Primary ethics approval was received from Western Sydney Local Health District Human Research EthiGs Committee (HREC2012/12/4.1 (3648) AU RED HREC/13ANMEAD/15). Results will be disseminated via peer-reviewed publications and presentations at international conferences.
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| 5. |
- Griffiths, P, et al.
(författare)
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Nurse staffing, nursing assistants and hospital mortality: retrospective longitudinal cohort study
- 2019
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Ingår i: BMJ quality & safety. - : BMJ. - 2044-5423 .- 2044-5415. ; 28:8, s. 609-617
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Tidskriftsartikel (refereegranskat)abstract
- To determine the association between daily levels of registered nurse (RN) and nursing assistant staffing and hospital mortality.DesignThis is a retrospective longitudinal observational study using routinely collected data. We used multilevel/hierarchical mixed-effects regression models to explore the association between patient outcomes and daily variation in RN and nursing assistant staffing, measured as hours per patient per day relative to ward mean. Analyses were controlled for ward and patient risk.Participants138 133 adult patients spending >1 days on general wards between 1 April 2012 and 31 March 2015.OutcomesIn-hospital deaths.ResultsHospital mortality was 4.1%. The hazard of death was increased by 3% for every day a patient experienced RN staffing below ward mean (adjusted HR (aHR) 1.03, 95% CI 1.01 to 1.05). Relative to ward mean, each additional hour of RN care available over the first 5 days of a patient’s stay was associated with 3% reduction in the hazard of death (aHR 0.97, 95% CI 0.94 to 1.0). Days where admissions per RN exceeded 125% of the ward mean were associated with an increased hazard of death (aHR 1.05, 95% CI 1.01 1.09). Although low nursing assistant staffing was associated with increases in mortality, high nursing assistant staffing was also associated with increased mortality.ConclusionLower RN staffing and higher levels of admissions per RN are associated with increased risk of death during an admission to hospital. These findings highlight the possible consequences of reduced nurse staffing and do not give support to policies that encourage the use of nursing assistants to compensate for shortages of RNs.
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