Skip to main content
Download PDF

Patient safety measurement tools used in nursing homes: a systematic literature review

BMC Health Services Research volume 22, Article number: 1376 (2022) Cite this article

Abstract

Background

An increase in the number of older adults has highlighted the important issue of the safety of residents in nursing homes. This review aimed to review previous studies on patient safety of older adults living in nursing homes, analyze the tools used to measure it, and identify factors affecting patient safety of older adult residents in nursing homes.

Methods

A literature search was conducted using EMBASE, PubMed, CINHAL, and COCHRANE. The main search terms were “nursing home” or “skilled nursing facility” or “long-term care facility” and “patient safety.” In total, 13,586 articles were identified. Two authors independently assessed the quality of each selected study using the Crowe Critical Appraisal Tool.

Results

Twenty-five studies were included in the analysis. There were a total of seven tools used to measure patient safety in nursing homes: the Nursing Home Survey on Patient Safety Culture (10 studies) and Hospital Survey on Patient Safety Culture (nine studies). Furthermore, the Nursing Home Survey on Patient Safety Culture-China, Safety Attitudes Questionnaire, Safety Attitudes Questionnaire in a Skilled Nursing Facility, Safety Attitudes Questionnaire-Ambulatory Version, and Modified Stanford Patient Safety Culture Survey Instrument were used in one study each. The most used tool among them was the Nursing Home Survey on Patient Safety Culture. Most tools used to measure patient safety in nursing homes were related to patient safety culture and employee attitudes.

Conclusion

Organizational factors, such as the staff education system and the composition of appropriate personnel, should be strengthened to establish a patient safety culture in nursing homes, for which policy support is crucial.

Peer Review reports

Background

In 2019, 703 million people (about 9% of the world’s population) were aged 65 or over worldwide; this number is projected to increase to 1.5 billion (about 16%) by 2050 [1], suggesting that, by 2050, one in six people worldwide will be an older adult. Simultaneously, the number of older adults with chronic diseases has also increased, with 31.7% of the 9,432 older adults in China in 2015 having had one or more chronic diseases [2]. US studies have found that older adults with major chronic conditions—such as cardiovascular disease, cancer, and chronic respiratory disease—have a higher incidence of disability in activities of daily living [3]. This increase in the aging population has added to the burden on the social welfare system, with the US spending an additional $135.7 billion from 1996 to 2013 [4]. Recently, US Medicare and Medicaid Services reported that due to an aging population, the proportion of national health expenditures exceeded 15% of gross domestic product (GDP) in 2016 and will reach 19.4% (approximately $6 trillion) of GDP by 2027 [5].

Nursing homes are care facilities where older adults with physical or cognitive disabilities live while receiving professional support until death, with approximately 70% of people with dementia in the US receiving care during their final stages of life in such facilities [6, 7]. To improve and maintain the quality of care in these nursing homes, many countries around the world have devised quality indicators and implemented institutional evaluations, often fusing the concepts of quality of care and patient safety [8]. Most nursing home quality indicators include physical and mental safety indicators for residents, such as falls, severe pain, bedsores, urinary tract infections, physical restraints, premature death, emergency room presentations, delirium/dementia, weight loss/malnutrition, and drug-related events [8,9,10].

Several studies have reported that organizational culture emphasizing the importance of quality improvement and patient safety is an important factor that influences the care quality of nursing homes [11, 12]. An analysis of the relationship between patient safety culture (PSC) and nursing home ratings in 186 nursing homes across the US in 2016 reported that PSC significantly affected healthcare quality [11]. Another survey of 1,447 facility managers working in 818 nursing homes found that higher PSC resulted in fewer customer complaints and lower fines [12].

However, some studies have reported that organizational culture or climate for patient safety did not actually improve residents’ quality indicators [13, 14]. To the best of our knowledge, there has been no consensus on the factors affecting patient safety among nursing home residents. Another peculiarity is that different tools are used to measure the same patient-safety-related content. In a study that measured PSC in 2017, the Nursing Home Survey on Patient Safety Culture (NHSPSC) tool was employed [15], but in a Norwegian study in 2016, the Safety Attitudes Questionnaire (SAQ) tool was employed [16]. Therefore, the purpose of this study is to (1) review previous studies on patient safety of older adults living in nursing homes, (2) analyze the tools used to measure patient safety, and (3) identify the factors affecting patient safety of older adult residents in nursing homes. The results of the study will contribute to devising strategies to improve their quality of life.

Methods

Search strategy

The review process was made in line with PRISMA guidelines [17]. A literature search was conducted using the following databases: EMBASE, PubMed, CIHNAL, and COCHRANE. The main search terms were “nursing home” or “skilled nursing facility” or “long-term care facility” and “safety” or “patient safety.” Articles published at any time and in any country were considered. To develop a comprehensive search strategy, an effort was made to ensure that there were no documents that could potentially be missed in the database search. This was ensured by performing a search using terms from Medical Subject Headings or keywords mentioned in the references related to patient safety.

Inclusion and exclusion criteria

The following criteria for inclusion in the literature review were used: nursing home participants, topics related to patient safety or safety, focusing on primary research, and English publications. Exclusion criteria were short-term residential care homes, visit home care, gray literature, instrument development, scoping review, and literature that did not use instruments to measure patient safety in nursing homes.

Study selection

We handled literature using a literature management program EndNote 20 version (The EndNote Team, 2013, Philadelphia, PA, Clarivate) [18]. After discarding duplicate articles using the software, two researchers (JL and DK) independently conducted the selection and exclusion processes. The two researchers conducted all titles and abstract sifting for half of the papers and continued to share opinions. Disagreements between the researchers were resolved through discussion. The discussion continued until an agreement was reached. In addition, by placing different researchers in charge at each stage, we checked each other’s results.

Data extraction and analysis

Two authors (DM and KK) validated the extracted data and resolved any disagreements. Previous literature on data selection was referred to in a systematic literature review [19], and a structured format was developed to ensure uniformity of the extracted data. Data on the following were extracted using data-charting forms: first author’s last name, publication year, country, sample size, study design, population, tool of measurement, quality assessment scores, study aim, and main result. The extracted data were then synthesized to summarize and investigate the current status of tool use, related factors, and implications for patient safety in nursing homes. The synthesized data are presented in tables describing the characteristics of the selected studies and their outcomes.

In addition, this study analyzed other tools based on the domain of HSOPSC version 1.0. HSOPSC is a reliable and valid tool developed by Agency for Healthcare Research and Quality (AHRQ). The tool was modified to version 2.0 in 2019 after releasing version 1.0 in 2004 [20], but version 1.0 is still used in many studies [21, 22]. It consists of the following 12 domains; Communication openness; Feedback and communication about error; Teamwork within units; Non-punitive response to error; Organizational learning; Supervisor/manager expectations and actions promoting patient safety; Staffing; Teamwork across units; Handoffs and transitions; Management support for patient safety; Frequency of events reported; Overall perceptions of safety [23].

Quality assessment

Two authors (KK and DM) assessed the quality of each selected study using the Crowe Critical Appraisal Tool (CCAT) version 1.4 [24]. The CCAT is a validated instrument that has been widely used in systematic reviews. The study design that is used does not affect the assessment. All categories had to be scored; the lowest score for a category is 0 and the highest score is 5. At first, the agreement between authors for 25 papers was 88%. Any potential discrepancies that may arise during this process were resolved through discussion among the authors.

Results

A total of 13,586 articles were identified in the primary search: EMBASE returned 3,458 articles; PUBMED 4,374; CIHNAL 4,661; and COCHRANE 1,093. After discarding 2,521 duplicate papers, we performed a selection and exclusion process for 11,065 papers. In the first and second selection and exclusion rounds, 10,214 articles were excluded after reading their titles and, following the third and fourth rounds, a further 739 articles were excluded after reviewing the abstracts. After reviewing the original text and excluding 71 papers that did not meet the selection criteria of this study, 41 papers remained. Among them, 25 papers were included in the final analysis, excluding 16 that did not include the use of patient safety tools (Fig. 1).

Fig. 1
figure 1

Process of literature selection

Full size image

Characteristics of the selected studies

Table. 1 presents the detailed characteristics of the 25 studies included in this systematic review. The NHSPSC and the Hospital Survey on Patient Safety Culture (HSOPSC) were used in 10 [11,12,13, 15, 25,26,27,28,29,30] and nine studies [21, 22, 31,32,33,34,35,36,37], respectively. In addition, the NHSPSC-China, Safety Attitudes Questionnaire (SAQ), Safety Attitudes Questionnaire in a Skilled Nursing Facility (SAQ-SNF), Safety Attitudes Questionnaire–Ambulatory Version (SAQ-AV), and Modified Stanford Patient Safety Culture Survey Instrument (MSI) were used in one study each. Of the 25 studies, 16 were conducted in the US [11,12,13, 15, 21, 22, 25, 27,28,29, 33,34,35,36,37,38], five in Norway [16, 30, 31, 39, 40] and the rest in France [26], China [32], the Netherlands [41], and Canada [42]. Most were quantitative studies, and there was one mixed study [42]. With regard to the participants, one study included long-stay nursing home residents with dementia [29], five studies targeted or included administrators [12, 15, 27, 34, 36], and the rest were conducted among facility staff working at nursing homes (registered nurses [RNs], certified nursing assistant [CNAs], nurse aides, direct care staff, and support staff). Minimal variation was noticed in the quality of the studies assessed using CCAT, with scores ranging from 36 (36/40, 90%) to 40 (40/40, 100%) out of a total of 40 (100%) points.

Table 1 Characteristics of the included studies
Full size table

Comparison of the differences between tools

As shown in Table. 2, all the tools used in the selected studies were analyzed to assess whether the PSC elements—based on the elements included in the HSOPSC version 1.0—were met. The results revealed that there was no “frequency of reported incidents” in the NHSPSC; thus, “procedure compliance” was added. The SAQ tool did not have “communication openness,” “feedback and communication on errors,” “non-punitive response to errors,” “organizational learning,” “employee placement,” “transition and transition,” or “overall awareness of safety;” instead, it measured “job satisfaction,” “working conditions,” and “stress recognition.” The MSI tool consists of seven areas, and compared to the HSOPSC, “Management expectations and actions promoting patient safety” and “Overall perceptions of safety” are included. In addition, more emphasis is placed on safety such as “Perceived State of Safety” and “Senior Leadership Support for Safety.“ Overall, factor 3 of “Teamwork within units,“ factor 8 of “Teamwork across units,“ and factor 10 of “Management support for resident safety” were included in all tools, except for the MSI tool, while factor 6 of “Management expectations and actions promoting patient safety” was included in all tools. On the other hand, factor 11 of “Frequency of events reported” was not included in other tools except for the HSOPSC tool. Its Cronbach’s alpha reliability was reported to range between 0.7 and 0.90.

Table 2 Quality assessment of the tools included in the study
Full size table

Patient safety culture differences between hospitals and nursing homes

The PSC scores of nursing homes and hospitals differed slightly in terms of their subdomains, although most studies reported that nursing home scores were low [22, 28, 34, 36, 37]. However, one study reported that nursing homes also had higher scores than hospitals in some domains [28]. The PSC score was higher for RNs and CNAs in hospitals with low turnover rates [15]. While each increase in the overall positive response rate to PSC reported a decrease in medical defects (p = .001), proven complaints (p = .004), and fines (p = .059), there was an increase in the probability of being assigned a 4- or 5-star quality rating [12]. However, studies using the NHSPSC reported no sub-factors significantly associated with 5-star ratings [11]. People living with dementia in the nursing home group had a lower risk of in-hospital death, as their openness to communication regarding their PSC scores was higher [29]. The results reveal that higher PSC scores among CNAs are reflected by patients’ falls, for which modulated restraint use was reported [21]. In addition, increasing age and job position were associated with significantly higher mean scores for patient safety factors (teamwork climate, safety climate, job satisfaction, and working conditions) [40].

Patient safety culture differences between employees

Considering the factors influencing nurses in terms of PSC, the PSC questionnaires reveal that the scores of CNAs were lower than those of RNs [41], while nurse managers reported higher scores than staff nurses [35, 36]. Licensed nurses employed in government-run establishments had significantly lower awareness of a positive safety culture than did nurses employed in nonprofit organizations [35]. RNs, licensed practical nurses, and nurse management/supervisors received the highest ratings for quality of collaboration and communication (very high), whereas nurse practitioners and physician assistants received the lowest ratings (range: 2.5–2.9) [38].

Factors affecting patient safety

As shown in Table. 3, factors affecting patient safety included transformational leadership, job demands, job resources [30], facility ownership (p < .001), facility scale (p < .001), reporting management (p < .001) [40], being an integrated care institution or not (p = .006), frequency of concern about patient safety (p = .001), occurrence of adverse events in departments (p = .001), and a punitive atmosphere [32]. One study reported a positive correlation between teamwork climate, job satisfaction, perceptions of management, safety climate, and working conditions [37]. In this study, the explanatory power was 42.7%, with staffing and communication openness being significant predictors [31].

Table 3 Study aims and main results
Full size table

Discussion

This review aimed to investigate the factors affecting patient safety in older adults living in nursing homes by reviewing previous studies on patient safety in nursing homes. The synthesis of the 25 papers identified revealed that most of the tools used to measure patient safety in nursing homes were related to PSC and employees’ attitudes. In addition, higher PSC scores were found to be associated with lower reported medical defects [8, 11, 12].

PSC was found to be an important factor affecting the safety of nursing home residents. These findings are consistent with existing studies on the effect of PSC on patient safety as an organizational factor [21, 29]. This study is particularly meaningful in that it systematically analyzed the tools developed for nursing homes (NHSPSC), unlike previous studies that reported that the HSOPSC was the only tool to measure PSC in nursing homes in 2008 [21]. The selected literature used the HSOPSC tool developed for hospitals until the AHRQ published the NHSPSC in 2009 to measure PSC in nursing homes [33]. However, even after its publication, although nursing homes were the focus of several studies, HSOPSCs were used for comparison with hospitals [36, 37, 41].

This study revealed that nursing homes generally scored lower than hospitals when using the HSOPSC to measure PSC. The authors attribute this to a dimension related to error reporting. In the case of the US, the federal government is required to report abuses, injuries of an unknown source, mistreatment, among others, of residents in nursing homes [43], but this is not included in the dimension of the NHSPSC tool. According to the results reported by 173 Swedish nursing homes in 2018, 89% of serious adverse reactions occurred due to medication errors, falls, delays or improper interventions, and neglect of care [44]. Therefore, a system for the occurrence of accidents in nursing homes is important, for which the NHSPSC tool may have to be modified in the future.

In addition, the differences in PSC scores between hospitals and nursing homes may reflect the personnel composition and characteristics between the two settings. Unlike hospitals, nursing homes often provide residents with care through nurse assistants or care workers rather than RNs [22]. Many studies have reported that the higher the number of RNs, the better the patient safety and quality indicators [45, 46]. In 2014, 11,339 nursing homes across the US investigated the inappropriate use of antipsychotic drugs in both mentally ill and normal groups of patients [47]. Increasing the number of hours of direct care provided by a nurse assistant instead of by an RN was found to increase the use of psychotropic drugs, sounding a warning about the decrease in the number of RNs. Although the dimension of “procedure compliance” was added to NHSPSC due to the different personnel composition, a program providing better education to those who provide direct care to residents is not only needed but will also be more valuable in ensuring better PSC.

In the US, nursing home evaluations of quality indicators, such as falls, severe pain, pressure sores, urinary tract infections, and physical restraints, have been published on a public website [48]. South Korea also conducts quality assessments of nursing homes, with most studies focusing on structures and processes and failing to include health outcomes for residents [49]. Although information on the overall facility, including the number of RNs, has been disclosed, it does not address the quality and safety of care at the facility. Moreover, in Korean nursing homes with fewer RNs, the number of RNs did not affect the quality of care indicators [50]. With the development of the Korean PSC tool in 2013 [51], interest in patient safety in nursing homes has increased. Therefore, in future research, it is necessary to develop an evaluation system and tool to comprehensively evaluate and measure patient safety in nursing homes, including PSC.

This study has several limitations. First, since this only considered studies that used tools, the results should be cautiously interpreted because studies that employed other designs without the use of tools were excluded. Second, this study compared the tools used in each literature with the version 1.0 domain of the HSOPSC tool. Since version 2.0 has been released, it is necessary to compare them in future studies. Third, since all articles were in English, important articles published in other languages may have been overlooked. Finally, a meta-analysis could not be performed because the literature analyzed in this study was reported using various tools and considering different results. It is necessary for future research to present quantitative evidence for studies that report findings based on using the same tools.

Conclusion

This study revealed that the PSC of nursing homes is a critical factor that influences the safety of their residents. Therefore, it is necessary to strengthen organizational factors, such as the staff education system and the composition of appropriate personnel, for establishing and fostering a PSC in nursing homes, for which policy support is also essential.

Availability of data and materials

All data generated or analyzed during this study are included in this published article.

Abbreviations

AHRQ:

Agency for Healthcare Research and Quality

CCAT:

Crowe Critical Appraisal Tool

CNAs:

certified nursing assistants

HSOPSC:

Hospital Survey on Patient Safety Culture

MSI:

Modified Stanford Patient Safety Culture Survey Instrument

NH:

nursing home

NHSPSC:

Nursing Home Survey on Patient Safety Culture

PSC:

Patient Safety Culture

RNs:

registered nurses

SAQ:

Safety Attitudes Questionnaire

SAQ-AV:

Ambulatory Version of the Safety Attitudes Questionnaire

SAQ-SNF:

Safety Attitudes Questionnaire in a Skilled Nursing Facility

References

  1. United Nations. World population ageing 2019. Department of economic and social Affairs Population Division; 2020 [cited Feb 8 2022]. Available from: https://www.un.org/en/development/desa/population/publications/pdf/ageing/WorldPopulationAgeing2019-Highlights.pdf.

  2. Zhao C, Wong L, Zhu Q, Yang H. Prevalence and correlates of chronic diseases in an elderly population: a community-based survey in Haikou. PLoS ONE. 2018;13(6):e0199006. https://doi.org/10.1371/journal.pone.0199006.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  3. Fong JH. Disability incidence and functional decline among older adults with major chronic diseases. BMC Geriatr. 2019;19(1):323. https://doi.org/10.1186/s12877-019-1348-z.

    Article  PubMed  PubMed Central  Google Scholar 

  4. Dieleman JL, Squires E, Bui AL, Campbell M, Chapin A, Hamavid H, et al. Factors associated with increases in US health care spending, 1996–2013. JAMA. 2017;318(17):1668–78. https://doi.org/10.1001/jama.2017.15927.

    Article  PubMed  PubMed Central  Google Scholar 

  5. Meola A. (2022). The aging US population is creating many problems-especially regarding elderly healthcare issues. Business Insider, April 15, 2022. [cited Oct 17 2022]. Available from: https://www.insiderintelligence.com/insights/aging-population-healthcare/.

  6. Cheung ENM, Benjamin S, Heckman G, Ho JM, Lee L, Sinha SK, et al. Clinical characteristics associated with the onset of delirium among long-term nursing home residents. BMC Geriatr. 2018;18(1):39. https://doi.org/10.1186/s12877-018-0733-3.

    Article  PubMed  PubMed Central  Google Scholar 

  7. Li Q, Zheng NT, Temkin-Greener H. Quality of end‐of‐life care of long‐term nursing home residents with and without dementia. J Am Geriatr Soc. 2013;61(7):1066–73. https://doi.org/10.1111/jgs.12330.

    Article  PubMed  PubMed Central  Google Scholar 

  8. Brauner D, Werner RM, Shippee TP, Cursio J, Sharma H, Konetzka RT. Does nursing home compare reflect patient safety in nursing homes? Health Aff (Millwood). 2018;37(11):1770–8. https://doi.org/10.1377/hlthaff.2018.0721.

    Article  Google Scholar 

  9. Inacio MC, Lang C, Caughey GE, Bray SCE, Harrison SL, Whitehead C, et al. The Registry of Senior Australians outcome monitoring system: quality and safety indicators for residential aged care. Int J Qual Health Care. 2020;32(8):502–10. https://doi.org/10.1093/intqhc/mzaa078.

    Article  PubMed  Google Scholar 

  10. Carryer J, Weststrate J, Yeung P, Rodgers V, Towers A, Jones M. Prevalence of key care indicators of pressure injuries, incontinence, malnutrition, and falls among older adults living in nursing homes in New Zealand. Res Nurs Health. 2017;40(6):555–63. https://doi.org/10.1002/nur.21835.

    Article  PubMed  Google Scholar 

  11. Yount N, Zebrak KA, Famolaro T, Sorra J, Birch R. Linking patient safety culture to quality ratings in the nursing home setting. J Appl Gerontol. 2022;41(1):73–81. https://doi.org/10.1177/0733464820969283.

    Article  PubMed  Google Scholar 

  12. Li Y, Cen X, Cai X, Temkin-Greener H. Perceived patient safety culture in nursing homes associated with ”nursing home Compare” performance indicators. Med Care. 2019;57(8):641–7. https://doi.org/10.1097/MLR.0000000000001142.

    Article  PubMed  PubMed Central  Google Scholar 

  13. Smith SN, Greene MT, Mody L, Banaszak-Holl J, Petersen LD, Meddings J. Evaluation of the association between nursing home survey on patient safety culture (NHSOPS) measures and catheter-associated urinary tract infections: results of a national collaborative. BMJ Qual Saf. 2018;27(6):464–73. https://doi.org/10.1136/bmjqs-2017-006610.

    Article  PubMed  Google Scholar 

  14. Bosch M, Halfens RJ, van der Weijden TVD, Wensing M, Akkermans R, Grol R. Organizational culture, team climate, and quality management in an important patient safety issue: nosocomial pressure ulcers. Worldviews Evid-Based Nurs. 2011;8(1):4–14. https://doi.org/10.1111/j.1741-6787.2010.00187.x.

    Article  PubMed  Google Scholar 

  15. Temkin-Greener H, Cen X, Li Y. Nursing home staff turnover and perceived patient safety culture: results from a national survey. Gerontologist. 2020;60(7):1303–11. https://doi.org/10.1093/geront/gnaa015.

    Article  PubMed  Google Scholar 

  16. Bondevik GT, Hofoss D, Husebø BS, Deilkås ECT. Patient safety culture in Norwegian nursing homes. BMC Health Serv Res. 2017;17(1):424. https://doi.org/10.1186/s12913-017-2387-9.

    Article  PubMed  PubMed Central  Google Scholar 

  17. Systematic reviews, 10(1), 1–11. https://doi.org/10.1186/s13643-021-01626-4.

  18. Clarivate. EndNote X9 and EndNote 20: Citing the EndNote program as a reference. [cited Oct 17 2022]. Available from: https://support.clarivate.com/Endnote/s/article/Citing-the-EndNote-program-as-a-reference?language=en_US.

  19. Elamin MB, Flynn DN, Bassler D, Briel M, Alonso-Coello P, Karanicolas PJ, et al. Choice of data extraction tools for systematic reviews depends on resources and review complexity. J Clin Epidemiol. 2009;62(5):506–10. https://doi.org/10.1016/j.jclinepi.2008.10.016.

    Article  PubMed  Google Scholar 

  20. Agency for health care research and quality. Hospital Survey on Patient Safety Culture. [cited Oct 17 2022]. Available from: https://www.ahrq.gov/sops/surveys/hospital/index.html.

  21. Bonner AF, Castle NG, Perera S, Handler SM. Patient safety culture: a review of the nursing home literature and recommendations for practice. Ann Longterm Care. 2008;16(3):18–22.

    PubMed  PubMed Central  Google Scholar 

  22. Castle NG, Sonon KE. A culture of patient safety in nursing homes. Qual Saf Health Care. 2006;15(6):405–8. https://doi.org/10.1136/qshc.2006.018424.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  23. Sorra J, Gray L, Streagle S, et al. AHRQ Hospital Survey on Patient Safety Culture: User’s Guide. (Prepared by Westat, under Contract No. HHSA290201300003C). AHRQ Publication No. 18-0036-EF (Replaces 04–0041, 15(16)-0049-EF). Rockville, MD: Agency for Healthcare Research and Quality. July 2018. https://www.ahrq.gov/sops/quality-patient-safety/patientsafetyculture/hospital/index.html.

  24. Crowe M, Sheppard L. A general critical appraisal tool: an evaluation of construct validity. Int J Nurs Stud. 2011;48(12):1505–16. https://doi.org/10.1016/j.ijnurstu.2011.06.004.

    Article  PubMed  Google Scholar 

  25. Wagner LM, Brush BL, Castle NG, Engberg JB, Capezuti E. Nursing home patient safety culture perceptions among US and immigrant nurses. J Patient Saf. 2020;16:238–44. https://doi.org/10.1097/PTS.0000000000000271.

    Article  PubMed  Google Scholar 

  26. Teigne D, Mabileau G, Anthoine E, Lucas M, Leclere B, Moret L, et al. Transcultural adaptation and psychometric study of the French version of the nursing home survey on patient safety culture questionnaire. BMC Health Serv Res. 2019;19:490. https://doi.org/10.1186/s12913-019-4333-5.

    Article  PubMed  PubMed Central  Google Scholar 

  27. Castle NG, Wagner LM, Perera S, Ferguson JC, Handler SM. Assessing resident safety culture in nursing homes: using the nursing home survey on resident safety. J Patient Saf. 2010;6:59–67. https://doi.org/10.1097/PTS.0b013e3181bc05fc.

    Article  PubMed  PubMed Central  Google Scholar 

  28. Castle N, Wagner LM, Perera S, Ferguson JC, Handler SM. Comparing the safety culture of nursing homes and hospitals. J Appl Gerontol. 2009;30:22–43. https://doi.org/10.1177/0733464809353603.

    Article  Google Scholar 

  29. Orth J, Li Y, Simning A, Zimmerman S, Temkin-Greener H. Nursing home residents with dementia: association between place of death and patient safety culture. Gerontologist. 2021;61(8):1296–306. https://doi.org/10.1093/geront/gnaa188.

    Article  PubMed  Google Scholar 

  30. Seljemo C, Viksveen P, Ree E. The role of transformational leadership, job demands and job resources for patient safety culture in Norwegian nursing homes: a cross-sectional study. BMC Health Serv Res. 2020;20:799. https://doi.org/10.1186/s12913-020-05671-y.

    Article  PubMed  PubMed Central  Google Scholar 

  31. Ree E, Wiig S. Employees’ perceptions of patient safety culture in Norwegian nursing homes and home care services. BMC Health Serv Res. 2019;19:607. https://doi.org/10.1186/s12913-019-4456-8.

    Article  PubMed  PubMed Central  Google Scholar 

  32. He H, Yu P, Li L, Xiao X, Long Y, Wang L, et al. Patient safety culture and obstacles to adverse event reporting in nursing homes. J Nurs Manag. 2020;28:1536–44. https://doi.org/10.1111/jonm.13098.

    Article  PubMed  Google Scholar 

  33. Arnetz JE, Zhdanova LS, Elsouhag D, Lichtenberg P, Luborsky MR, Arnetz BB. Organizational climate determinants of resident safety culture in nursing homes. Gerontologist. 2011;51(6):739–49. https://doi.org/10.1093/geront/gnr053.

    Article  PubMed  Google Scholar 

  34. Castle NG. Nurse aides’ ratings of the resident safety culture in nursing homes. Int J Qual Health Care. 2006;18:370–6. https://doi.org/10.1093/intqhc/mzl038.

    Article  PubMed  Google Scholar 

  35. Wagner LM, Capezuti E, Rice JC. Nurses’ perceptions of safety culture in long-term care settings. J Nurs Scholarsh. 2009;41:184–92. https://doi.org/10.1111/j.1547-5069.2009.01270.x.

    Article  PubMed  Google Scholar 

  36. Castle NG, Handler S, Engberg J, Sonon K. Nursing home administrators’ opinions of the resident safety culture in nursing homes. Health Care Manage Rev. 2007;32(1):66–76. https://doi.org/10.1097/00004010-200701000-00009.

    Article  PubMed  Google Scholar 

  37. Buljac-Samardzic M, Van Wijngaarden JD, Dekker-van Doorn CM. Safety culture in long-term care: a cross-sectional analysis of the Safety Attitudes Questionnaire in nursing and residential homes in the Netherlands. BMJ Qual Saf. 2016;25(6):424–31. https://doi.org/10.1136/bmjqs-2014-003397.

    Article  PubMed  Google Scholar 

  38. Wisniewski AM, Erdley WS, Singh R, Servoss TJ, Naughton BJ, Singh G. Assessment of safety attitudes in a skilled nursing facility. Geriatr Nurs. 2007;28:126–36. https://doi.org/10.1016/j.gerinurse.2007.01.001.

    Article  PubMed  Google Scholar 

  39. Deilkas ECT, Hofoss D, Husebø BS, Bondevik GT. Opportunities for improvement in nursing homes: variance of six patient safety climate factor scores across nursing homes and wards-assessed by the Safety Attitudes Questionnaire. PLoS ONE. 2019;14:e0218244. https://doi.org/10.1371/journal.pone.0218244.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  40. Bondevik GT, Hofoss D, Husebø BS, Deilkås ECT. The safety attitudes questionnaire–ambulatory version: psychometric properties of the Norwegian version for nursing homes. BMC Health Serv Res. 2019;19:1–14. https://doi.org/10.1186/s12913-019-4244-5.

    Article  Google Scholar 

  41. Handler SM, Castle NG, Studenski SA, Perera S, Fridsma DB, Nace DA, et al. Patient safety culture assessment in the nursing home. Qual Saf Health Care. 2006;15(6):400–4. https://doi.org/10.1136/qshc.2006.018408.

    Article  PubMed  PubMed Central  CAS  Google Scholar 

  42. Halligan MH, Zecevic A, Kothari AR, Salmoni AW, Orchard T. Understanding safety culture in long-term care: a case study. J Patient Saf. 2014;10(4):192–201.

    Article  PubMed  Google Scholar 

  43. Agency for Health Care Administration. Nursing Home Federal reporting; 1989 [cited Feb 14 2022]. Available from: https://ahca.myflorida.com/MCHQ/Field_Ops/CAU/Federal_Reporting.

  44. Andersson Å, Frank C, Willman AM, Sandman PO, Hansebo G. Factors contributing to serious adverse events in nursing homes. J Clin Nurs. 2018;27(1–2):e354-62. https://doi.org/10.1111/jocn.13914.

    Article  Google Scholar 

  45. Lee HY, Blegen MA, Harrington C. The effects of RN staffing hours on nursing home quality: a two-stage model. Int J Nurs Stud. 2014;51(3):409–17. https://doi.org/10.1016/j.ijnurstu.2013.10.007.

    Article  PubMed  Google Scholar 

  46. Spilsbury K, Hewitt C, Stirk L, Bowman C. The relationship between nurse staffing and quality of care in nursing homes: a systematic review. Int J Nurs Stud. 2011;48(6):732–50. https://doi.org/10.1016/j.ijnurstu.2011.02.014.

    Article  PubMed  Google Scholar 

  47. Rodriguez-Monguio R, Seoane-Vazquez E. Potentially inappropriate antipsychotic use in a nationally representative US nursing homes sample: a safety concern. J Pharm Health Serv Res. 2014;5(4):215–23. https://doi.org/10.1111/jphs.12074.

    Article  Google Scholar 

  48. Agency for health care research and quality. Resident safety practices in nursing home setting [cited Feb 9]. Available from: https://psnet.ahrq.gov/issue/resident-safety-practices-nursing-home-settings. Vol. 9 2022; 2015.

  49. Long-term care insurance. Search for long-term care institutions; 2018 [cited Feb 9 2022]. Available from: https://www.longtermcare.or.kr/npbs/auth/login/loginForm.web?menuId=npe0000002160&rtnUrl=.

  50. Cho E, Kim IS, Lee TW, Kim GS, Lee H, Min D. Effects of registered nurse staffing on quality of care and resident outcomes in nursing homes. Geriatr Nurs. 2020;41(6):685–91. https://doi.org/10.1016/j.gerinurse.2020.04.001.

    Article  PubMed  Google Scholar 

  51. Yoon SH, Kim B, Kim SY. Development and validation of the Korean patient safety culture scale for nursing homes. J Korean Acad Nurs. 2013;43(3):379–88. https://doi.org/10.4040/jkan.2013.43.3.379.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

We would like to thank Yu-jin Kim (National Evidence-based Healthcare Collaborating Agency) for helping with literature search and analysis.

Funding

This work was supported by a National Research Foundation of Korea (NRF) grant funded by the Korea government (MSIT); grant number: 2021R1G1A1003576.

Author information

Authors and Affiliations

  1. Department of Nursing, College of Nursing, Gachon University, 21936, Incheon, Republic of Korea

    Kyoung-A Kim

  2. College of Nursing, Cheju Halla University, Jeju, Republic of Korea

    Jungeun Lee

  3. The Graduate School, Wonkwang University, Iksan, Republic of Korea

    Dahee Kim

  4. Department of Nursing, College of Medicine, Wonkwang University, 460, Iksandae-ro, 54538, Iksan, Jeonbuk, Republic of Korea

    Deulle Min

Authors
  1. Kyoung-A Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jungeun Lee
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Dahee Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Deulle Min
    View author publications

    You can also search for this author in PubMed Google Scholar

Contributions

Deulle Min (DM) conceived and designed the study. Kyoung-A Kim (KK), Jungeun Lee (JL), and DM performed the data analysis. JL and Dahee Kim (DK) performed the literature screening. KK and DM participated in the interpretation of the analyses. All authors contributed to developing the manuscript and have read and approved the final manuscript.

Corresponding author

Correspondence to Deulle Min.

Ethics declarations

Ethics approval and consent to participate

Not applicable.

Consent for publication

Not applicable.

Conflict of interest

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Kim, KA., Lee, J., Kim, D. et al. Patient safety measurement tools used in nursing homes: a systematic literature review. BMC Health Serv Res 22, 1376 (2022). https://doi.org/10.1186/s12913-022-08814-5

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12913-022-08814-5

Keywords

BMC Health Services Research

ISSN: 1472-6963

Contact us