Interventions to Increase Patient Safety in Long-Term Care Facilities—Umbrella Review
Abstract
:1. Introduction
2. Materials and Methods
3. Results
- Kruse 2021—a systematic review based on twelve observational studies and two RCTs, assessing the relationship between health information technology and quality improvement in the field of issuing prescriptions in long-term care facilities [17];
- Bukoh 2020—a meta-analysis of nine RCTs and quasi-experimental studies, which assessed the effectiveness of structured handover interventions between nurses and their impact on improving the quality and safety of patient care [18];
- McCarthy 2018—a systematic review based on six uncontrolled pre/post intervention studies, analysing the impact of filling electronic documentation by nurses on promoting/improving the quality of care and/or patient safety in hospital wards [19];
- Burton 2017—a meta-analysis of seven pre/post studies (with or without a control group) and two RCTs, assessing the effectiveness of mindfulness-based interventions in reducing stress among medical staff [20];
- Alldred 2016—a systematic review based on 12 RCTs that assessed the effect of interventions to optimize the medication delivery process for elderly people living in nursing homes [21];
- Busireddy 2016—a meta-analysis of six RCTs and thirteen cohort studies, assessing the effectiveness of mindfulness-based interventions in reducing stress among medical staff [22];
- Hill 2016—a systematic review based on nine publications (RCT, non-RCT, pre/post studies and process evaluation studies), which analyzed the impact of psychological interventions on improving the well-being of medical staff in palliative care facilities [23];
- Snowdon 2016—a meta-analysis of 32 cohort studies (prospective and retrospective) and pre/post studies, assessing the effectiveness of clinical supervision among medical staff in improving patient safety [24];
- Marasinghe 2015—a systematic review based on five RCTs and two cohort studies, which analyzed the impact of computerized clinical decision support systems on the safety of medication administration in long-term care facilities [25];
- Weaver 2013—a systematic review based on 33 publications (27 pre/post studies, 3 studies using time-series analysis and 3 RCTs), which identified and analyzed the effectiveness of interventions used to promote safety culture or climate in hospital wards [26].
3.1. Promoting Safety Culture in A Facility
3.2. Reducing the Level of Occupational Stress and Burnout, as Well as Improving the Well-Being of Medical Staff
3.3. Increasing the Safety of Use of Medications
4. Discussion
5. Limitations
6. Conclusions
- prevention of events resulting from medication misadministration—e.g., through structured methods of patient transfer and the use of information technology that is more effective than the classic (paper) one;
- preventing occupational burnout of medical staff—e.g., by using mindfulness-based interventions or introducing working time limits among residents and representatives of other medical professions;
- prevention of falls among patients—e.g., through risk awareness activities, fall risk testing and exercise;
- prophylaxis of infections in facilities—e.g., through programs to improve the quality of care in particular institutions and the implementation of an effective infection control system.
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Population (P) | Medical staff (including doctors, nurses, physiotherapists), support staff, management staff, patients. |
Intervention (I) | Promoting safety culture, interventions aimed at increasing the safety of use of medications and interventions aimed at reducing the level of occupational stress and burnout. |
Effects (O) | Patient safety level, safety culture level, care quality level, level of occupational burnout, number of medical errors, number of adverse events. |
Type of studies (S) | Systematic reviews, meta-analyses. |
Author/Year | N Studies | Population | Intervention (I) Comparator (C) | Outcomes | Study Findings |
---|---|---|---|---|---|
Promoting safety culture in institutions | |||||
Bukoh 2020 [18] (MA) | 9 studies (quasi-experimental, RCT) | Nurses of hospital departments with various specialties, n = 1.169 (age from 22 to 38). | (I) Structured patient transfer methods: SBAR, ICCCO, PCH, NHF; (C) No intervention. | Primary: treatment complications, adverse events, medication errors. | The intervention did not reduce post-treatment complications (SMD = −0.15 [95% CI: −0.32; 0.01]) or the incidence of adverse events in patients (SMD = −0.13 [95% CI: −0.26; 0.01]). The intervention reduces medication errors (SMD = −0.07 [95% CI: −0.13; −0.01]). |
Secondary: mistakes in transferring nursing care. | No impact of interventions on the occurrence of errors in transferring nursing care (SMD = −0.47 [95% CI: −1.04; 0.09]). | ||||
McCarthy 2018 [19] (SR) | 6 studies (pre/post studies without a control group) | Nurses working in acute settings. | (I) Completion of documentation in electronic form and education in the field of its correct completion; (C) NA (no control group). | Improving patient safety and quality of care; completeness of the completed documentation. | Education related to the way of keeping documentation influenced its correctness. Electronic documentation reduces the time needed to complete it (3 months after applying the intervention) from 138.5 h/week to 55.8 h/week (1 study). Positive impact of the quality improvement program in the facility on the change of work management—lower number of medical errors and workplace infections (2 studies). |
Snowdon 2016 [24] (MA) | 32 studies (prospective and retrospective cohort studies; pre/post studies) | Medical staff (doctors, nurses, paramedics) working in health care facilities. | (I) Clinical supervision by experienced specialists; (C) No intervention or intervention to a lesser extent. | Mortality | The intervention reduces patient mortality (RR = 0.76 [95% CI: 0.60; 0.95]) (14 studies; n = 20.474) (low-quality evidence). Subgroup analysis (9 studies; n = 6.484) showed a positive effect of the intervention on the reduced risk of death after surgery (RR = 0.68 [95% CI 0.50; 0.93]) (moderate quality evidence). |
Complications after treatment | The intervention reduces the risk of complications after treatment (RR = 0.69 [95% CI: 0.53; 0.89]) (23 studies; n = 104.625) (low-quality evidence). Subgroup analysis (3 studies, n = 23.609) showed a positive effect of the intervention in reducing the risk of complications after invasive treatment and surgery (RR = 0.33 [95% CI 0.24; 0.46]) (low-quality evidence). No effect of direct intervention during surgery on the reduction of the risk of post-treatment complications (RR = 0.85 [95% CI: 0.67; 1.07]) (16 studies; n = 6 6.447) (low-quality evidence). | ||||
Reoperations | No effect of the intervention on the reduced risk of reoperation (RR = 1.16 [95% CI: 0.92; 1.47]) (9 studies; n = 10.699). Subgroup analysis (3 studies; n = 241) showed a positive effect of the intervention in reducing the risk of switching from less to more severe surgery (RR = 0.39 [95% CI 0.22; 0.69]) (moderate-quality evidence). | ||||
Weaver 2013 [26] (SR) | 33 studies (27 pre/post studies, 3 time series analyses, 3 RCTs) | Employees of acute settings. | (I) Strategies promoting a safety culture in the facility (training, rounds, comprehensive safety improvement programs). (C) No intervention. | Improving the factors influencing patient safety (e.g., communication in the therapeutic team); change in the level of the safety climate measured with standardized questionnaires (SAQ, HSOPSC, PSCHO). | Training in the field of communication in the therapeutic team has a statistically significant impact on: improving awareness of the importance of maintaining a high level of safety culture in the facility (16 out of 20 studies); reduction of delay in providing care (5 studies); reducing the number of adverse events associated with patient care (7 studies). Rounds improve awareness of the importance of maintaining a high level of safety culture in the facility. Rounds have been shown to change care-related parameters (e.g., improvement in the average number of days since the occurrence of an adverse event) (3 studies). There was no statistically significant effect of lowering the cost of care in the case of rounds (1 study). Comprehensive safety improvement programs contribute to: improving awareness of the importance of maintaining a high level of safety culture in the facility (8 studies); improvement in the care process (2 studies); reduction in the occurrence of medical errors (1 study; 0.56 vs. 0.15, p < 0.01). |
Reducing the level of occupational stress, burnout and improving the well-being of medical staff | |||||
Burton 2017 [20] (MA) | 9 studies (1 pre/post control, 6 uncontrolled pre/post, 2 RCT) | Medical staff (nurses, primary care workers, mental disorder specialists). | (I) MBIs: traditional, modified or telephone MBSR, mindfulness-based cognitive attitude training. (C) No intervention. | Level of mindfulness, well-being, anxiety, stress. | MBIs reduces stress among medical staff (7 studies, n = 188): combined effect size (r = 0.342 [95% CI 0.202; 0.468]) (medium effect size); combined probability (p < 0.0002). The results of individual studies show a moderate effect of the actions depending on the duration of the intervention. Traditional MBSR (duration 4–8 weeks) reduces the level of stress, anxiety and depression. Traditional MBSR improves the sense of occupational burnout and the well-being of medical staff. |
Busireddy 2016 [22] (MA) | 19 studies (13 cohort studies, 6 RCTs) | Resident doctors working in the following departments: internal medicine, orthopaedics, paediatric, gynaecology, surgery, oncology (n = 2030). | (I) Working time limit. (C) No intervention. | The level of occupational burnout (Maslach burnout questionnaire—MBI). | The reduction in the number of hours (up to 80 weeks) worked by residents was associated with a reduction in emotional exhaustion (OR = 0.59 [95% CI 0.45; 0.79]) and a reduction in the level of occupational burnout (MD = −2.70 [95% CI −3.98; −1.41]). Working hours limit did not reduce the number of people with high levels of depersonalization (OR = 0.86 [95% CI 0.64; 1.14]). There was a slight decrease in the mean value of the depersonalization index (MD = −1.43 [95% CI −2.54; −0.31]). No effect of the intervention on the sense of self-realization (MD = 0.99 [95% CI −0.04; −2.02]) and on the number of people with a high rate of self-realization (OR = 1.11 [95% CI 0.74; 1.65]). The intervention reduces the chance of high occupational burnout scores among residents (OR = 0.60 [95% CI 0.37; 0.98]) (2 studies). A positive impact of Balint training on the level of occupational burnout was obtained (2 studies, n = 17)—no possibility to determine the size of the effect. |
Hill 2016 [23](SR) | 9 studies (2 RCTs, 2 non-RCTs, 4 pre/post studies, 1 process evaluation study). | Medical staff working in palliative care facilities. | (I) Relaxation, psychoeducation, support groups, cognitive training, musicotherapy, art therapy. (C) No intervention. | Level of stress, occupational burnout, well-being. | Most of the interventions used had no effect on the endpoints. Additionally, none of the studies showed a greater than low effect on the analyzed endpoints (except for art therapy and musicotherapy, for which a moderate effect was demonstrated). |
Increasing the safety of medication use | |||||
Kruse 2021 [17] (SR) | 14 studies (RCT, pre/post, observational) | Medical staff employed in long-term care facilities. | (I) Health information technology (electronic databases, computerized clinical decision support systems). (C) No intervention/paper documentation. | The amount of time needed for administrative activities, improving the quality of medical records, the level of risk of errors, the level of stress. | Australia—electronic databases: interventions have no effect on reducing the time needed for nurses to complete medical records. There has been an improvement in prescribing adequacy and an increase in the completeness of electronic documentation. Sweden—electronic medication management systems: it has been shown to reduce the stress level among medical staff related to the risk of adverse events and to improve the attitude to conducting administrative activities. Other research—information technology: positive effect on the quality of information provided during staff shifts. |
Alldred 2016 [21] (SR) | 12 studies (RCT) | Older people (> 65 years old), staying in nursing homes (n = 10.953) and medical staff. | (I) Education of prescribers; verification of medication administration (carried out individually for the patient by a nurse, pharmacist or doctor); interdisciplinary discussion meetings; technologies that facilitate clinical decision making. (C) No intervention/care provided by a GP. | Primary: occurrence of adverse medication reactions, hospitalizations, mortality. | Adverse medication reactions: coordinating medication administration by a pharmacist (RR = 1.05 [95% CI 0.66; 1.68]) and the decision support system (aRR = 1.06 [95% CI 0.92; 1.23]) did not affect the occurrence of adverse medication reactions (2 studies). Hospitalization: coordinating medication administration by a pharmacist, combined with informing medical staff about the medications taken by patients, reduces the number of hospitalizations (RR = 0.38 [95% CI 0.15; 0.99]) for those who were alive at the time of follow-up. An intervention analysis for patients who died during the study period showed no effect on this endpoint (RR = 0.58 [95% CI 0.28, 1.21]) (1 study). Nursing education resulted in a reduction in the number of days of hospitalization (1.4 days/person/year [95% CI 1.2; 1.6] (I) vs. 2.3 days/person/year [95% CI 2.1; 2.7]) (aRR = 0.60 [95% CI 0.49; 0.75]) (1 study). Verification of medication use by a pharmacist did not affect the number of hospitalizations (RR = 0.75 [95% CI 0.52; 1.07]) (1 study). Nursing education and interdisciplinary discussion meetings did not impact hospital admissions (RR = 1.02 [95% CI 0.83; 1.26]) (1 study). Mortality: verification of medication use by a pharmacist reduces the number of deaths (4 (I) vs. 14 (C), p = 0.028). In the longer term, the number of deaths in both groups became even (26 (I) vs. 28 (C), p = ND) (1 study). In another study, verification of medication use by a pharmacist did not reduce the patient’s risk of death (RR = 1.06 [95% CI 0.70; 1.64]) (1 study). Nursing education and interdisciplinary discussion meetings were also not affected by the endpoint (RR = 1.11 [95% CI 0.76; 1.61]) (1 study). |
Secondary: quality of life, problems with taking medications, grounds for the use of medications, costs. | Quality of life: after the intervention consisting in verifying the use of medications by a pharmacist, no difference was found in the quality of life of residents (tested with the SF-12 tool) in the sphere of physical (p = 0.09) and mental health (p = 0.70) (1 test). Nursing education contributed to a slower deterioration of the quality of life of patients in the study group compared to the control group (−0.038 [95% CI −0.038; −0.022] (I) vs. (−0.072 [95% CI −0.089; −0.055] (C)) (1 study). Grounds for the use of medications (5 studies): the benefit of using the intervention in relation to the control groups was indicated. The intervention consisting of coordinating the administration of medications by a pharmacist combined with informing medical staff about the medications taken by the patient improved the adequacy of medication administration in the study group (mean change in MAI 4.1 [95% CI 2.1; 6.1] (I) vs. MAI 0.4 [95% CI −0.4; 1.2]) (C)) (1 study). The intervention involving verification of the use of medications by a pharmacist reduces the risk of medication misadministration events (37.4% (I) vs. 56% (C), p < 0.01) (1 study). Costs (5 studies): the intervention reduces costs in terms of the amount spent on medications (GBP 141.24/person (C) vs. GBP 131.54/person (I)) (3 studies). The intervention reduces costs by GBP 27.47 per capita (1 study). | ||||
Marasinghe 2015 [25] (SR) | 7 studies (5 RCTs, 2 cohort studies). | People in long-term care facilities (n = 13.790) and medical staff. | (I) Computerized clinical decision support systems. (C) No intervention. | Number of incorrect medication orders, number of adverse medication reactions and their severity, number of warnings detected. | No effect of the intervention on the number of adverse events and the adequacy of medication prescription (2 studies). Thanks to the intervention, out of 47,977 registered medication orders, 9414 situations that could adversely affect the adequacy of the medication administration were detected (study). Prescribers were more likely to make optimal treatment decisions (RR = 1.11 [95% CI 1.00; 1.22]) (1 study). The intervention reduced the risk of various types of health damage by 1.7/1000 patients [95% CI 0.2/1000; 3.2/1000; p = 0.02]. The intervention improved the quality of care for patients with renal failure (1 study). |
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Świtalski, J.; Wnuk, K.; Tatara, T.; Miazga, W.; Wiśniewska, E.; Banaś, T.; Partyka, O.; Karakiewicz-Krawczyk, K.; Jurczak, J.; Kaczmarski, M.; et al. Interventions to Increase Patient Safety in Long-Term Care Facilities—Umbrella Review. Int. J. Environ. Res. Public Health 2022, 19, 15354. https://doi.org/10.3390/ijerph192215354
Świtalski J, Wnuk K, Tatara T, Miazga W, Wiśniewska E, Banaś T, Partyka O, Karakiewicz-Krawczyk K, Jurczak J, Kaczmarski M, et al. Interventions to Increase Patient Safety in Long-Term Care Facilities—Umbrella Review. International Journal of Environmental Research and Public Health. 2022; 19(22):15354. https://doi.org/10.3390/ijerph192215354
Chicago/Turabian StyleŚwitalski, Jakub, Katarzyna Wnuk, Tomasz Tatara, Wojciech Miazga, Ewa Wiśniewska, Tomasz Banaś, Olga Partyka, Katarzyna Karakiewicz-Krawczyk, Justyna Jurczak, Mateusz Kaczmarski, and et al. 2022. "Interventions to Increase Patient Safety in Long-Term Care Facilities—Umbrella Review" International Journal of Environmental Research and Public Health 19, no. 22: 15354. https://doi.org/10.3390/ijerph192215354
APA StyleŚwitalski, J., Wnuk, K., Tatara, T., Miazga, W., Wiśniewska, E., Banaś, T., Partyka, O., Karakiewicz-Krawczyk, K., Jurczak, J., Kaczmarski, M., Dykowska, G., Czerw, A., & Cipora, E. (2022). Interventions to Increase Patient Safety in Long-Term Care Facilities—Umbrella Review. International Journal of Environmental Research and Public Health, 19(22), 15354. https://doi.org/10.3390/ijerph192215354