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Quality improvement studies in nursing homes: a scoping review

BMC Health Services Research volume 21, Article number: 803 (2021) Cite this article

Abstract

Background

Quality improvement (QI) is used in nursing homes (NH) to implement and sustain improvements in patient outcomes. Little is known about how QI strategies are used in NHs. This lack of information is a barrier to replicating successful strategies. Guided by the Framework for Implementation Research, the purpose of this study was to map-out the use, evaluation, and reporting of QI strategies in NHs.

Methods

This scoping review was completed to identify reports published between July 2003 through February 2019. Two reviewers screened articles and included those with (1) the term “quality improvement” to describe their methods, or reported use of a QI model (e.g., Six Sigma) or strategy (e.g., process mapping) (2), findings related to impact on service and/or resident outcomes, and (3) two or more NHs included. Reviewers extracted data on study design, setting, population, problem, solution to address problem, QI strategies, and outcomes (implementation, service, and resident). Vote counting and narrative synthesis were used to describe the use of QI strategies, implementation outcomes, and service and/or resident outcomes.

Results

Of 2302 articles identified, the full text of 77 articles reporting on 59 studies were included. Studies focused on 23 clinical problems, most commonly pressure ulcers, falls, and pain. Studies used an average of 6 to 7 QI strategies. The rate that strategies were used varied substantially, e.g., the rate of in-person training (55%) was more than twice the rate of plan-do-study-act cycles (20%). On average, studies assessed two implementation outcomes; the rate these outcomes were used varied widely, with 37% reporting on staff perceptions (e.g., feasibility) of solutions or QI strategies vs. 8% reporting on fidelity and sustainment. Most studies (n = 49) reported service outcomes and over half (n = 34) reported resident outcomes. In studies with statistical tests of improvement, service outcomes improved more often than resident outcomes.

Conclusions

This study maps-out the scope of published, peer-reviewed studies of QI in NHs. The findings suggest preliminary guidance for future studies designed to promote the replication and synthesis of promising solutions. The findings also suggest strategies to refine procedures for more effective improvement work in NHs.

Peer Review reports

Background

In the U.S., staff in 15,600 nursing homes (NH) care for about 1.3 million older adults each day [1]. In addition to providing housing, three meals a day, and personal care, NHs also provide skilled nursing care, 24-h supervision, and rehabilitation services, such as physical therapy [2]. Frailty and serious illnesses are common in NHs, where 50% of older adults have dementia and more than 90% require assistance with bathing and other activities of daily living [1, 3]. Ensuring high quality care for NH residents continues to be a major challenge [4]. Factors contributing to this challenge include high NH staff turnover, fragmented communication internal and external to NHs, limited resources to pay for clinical staff and technology tools, and the training and education of staff. Owing to these challenges, improving the quality of care of NH residents remains a high priority [5,6,7].

Government regulations and alternative payment models have been important drivers of improved quality in NHs [8]. In 1987 the Nursing Home Reform Act mandated resident-level care planning in NHs and comprehensive inspection of NHs every 15 months [9]. In the early 2000s, market-based reforms, such as public-reporting of NH quality, were implemented to generate demand for NHs with higher publicly-reported quality indicators [10, 11]. External standards and incentives have contributed to the improvement of quality of care [12,13,14]; however, they are not sufficient to remedy persisting NH quality challenges, which include fall prevention, dementia care, antibiotic stewardship, and preventing avoidable hospitalizations, among others.

To address quality challenges, NH leaders and researchers use a range of quality improvement tools, methods, and strategies (hereafter referred to as “QI strategies”) to evaluate the quality of care, identify local causes of quality deficits, and implement or sustain improvements in care [15,16,17]. Starting in 2014, the U.S. Centers for Medicare and Medicaid Services mandated that all NHs establish Quality Assurance and Performance Improvement (QAPI) programs as a requisite for receiving federal funding. However, little is known about how QI strategies are used in NHs, their effectiveness, or how to replicate or apply proven strategies across settings [18]. The large majority of evidence from QAPI programs and other QI work in NHs is not published. Prior reviews described a range of clinical problems that were addressed, such as patient falls, and the use of improvement strategies to support changes in clinical care [19,20,21]. However, these reviews are now 6–15 years old and omit details on the types of QI strategies that were used and the implementation outcomes measured. We address these limitations by synthesizing evidence across QI studies in NHs, thereby informing the design of future QI studies. Synthesizing evidence from QI studies is difficult due to variations in terminology, outcomes measurement, and how findings are reported across methodologies [21]. Thus, in this review, we adapted Proctor and colleagues’ widely-used “Framework for Implementation Research” as a guide for mapping the literature on QI strategies in NHs [22].

The Framework for Implementation Research describes the pathway from clinical interventions, to implementation strategies, and then to service (e.g., safety and equity) and client outcomes [22]. As illustrated in Fig. 1, our adaptation of the framework more broadly defines domains in the framework for our focus on QI in NHs. In contrast to implementation research, which begins with the domain of evidence-based interventions, QI often begins with a problem and then transitions to one or more solutions to address the problem; these solutions may or may not be evidence-based interventions [23, 24]. Therefore, the first domain in our adaptation of Proctor’s framework includes the problem and the solution(s).

Fig. 1
figure 1

Adaptation of the Framework for Implementation Research [22]

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In the second domain we replace “implementation strategies with “QI strategies.” This domain includes strategies that are applied to understand the problem, ascertain the fit of solutions to address the problem, and integrate those solutions into routine practice. Often referred to as tools, interventions, or methods, examples of QI strategies include root cause analysis, Plan-Do-Study-Act (PDSA) cycles, and others [25]. In most QI models (e.g., the Improvement Model), QI strategies are designed to engage local providers and staff and walk them through a systematic, multi-step approach to developing “fit-for-purpose solutions.” [26] The final three domains in the framework are three types of outcomes. These include “implementation outcomes”, which assess the impact of QI strategies on factors that determine the successful integration of a solution into routine practice. For example, “adoption” is an implementation outcome defined as the extent to which a solution is initiated by settings and providers [27, 28]. “Service outcomes” assess the quality of services, with quality encompassing efficiency, safety, effectiveness, equity, patient-centeredness, and timeliness [28]. The adapted framework culminates in changes in “resident outcomes” [22]; in other words, changes in the health and wellbeing of NH residents.

Applying this adapted framework, the purpose of this study was to conduct a scoping review of published literature on QI in NHs. The intent of the review was to map-out how studies were using, evaluating, and reporting QI strategies and outcomes.

Methods

We conducted a scoping review with the goal of mapping the heterogeneity of study designs, QI approaches, and outcome measures rather than synthesizing findings on the effectiveness of specific strategies. We followed the PRISMA-ScR (Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews) [29].

Data sources and searches

We collaborated with a health sciences librarian and conducted a systematic literature search to identify articles relating to QI in NHs. We searched PubMed, CINAHL Plus with Full Text (EBSCO), and Embase for English language articles published between July 1, 2003 through February 28, 2019. We searched for keywords and Medical Subject Headings related to NHs, assisted living facilities, housing for the elderly, skilled nursing facilities, or residential facilities, as well as keywords and subjects related to quality assurance, quality improvement, performance improvement, and Lean and Six Sigma. The full search is included in Additional File 1. Preset database filters were used to exclude non-research articles, such as conference abstracts, editorials, letters, or dissertations. The results were combined in EndNote and duplicate reports were removed before beginning the title/abstract screening in Covidence [30].

Study selection

Two reviewers (MT and JL) independently screened the titles and abstracts of 2069 articles from the initial search and 233 from the update (a total of 2302 articles). Discrepancies in the selection of articles to include were resolved by consensus. Articles were included if they were empirical studies reporting on QI projects or research studies conducted in NHs. The inclusion criteria were (1) peer-reviewed articles published in the English language between July 2003 and February 2019 (2), used the term “quality improvement” to describe their methods or reported using a quality improvement model (e.g., Six Sigma) or strategy (e.g., process mapping, PDSA) and (3) reported findings related to impact on either service and/or resident outcomes. We excluded articles that reported findings from only one NH as they generally are case reports with limited potential to contribute to generalizable knowledge about QI strategies [15].

Data charting process

Three reviewers (MT, JL, LF), working in pairs, reviewed the full text of included articles and used a standardized template to extract data. During the extraction process, we noted when authors referred to additional articles on their studies and added these articles to the review. The adapted version of the Framework for Implementation Research guided development of the data extraction template. As summarized in Table 1 and below, the research team drew on both the QI and implementation science literature to develop the terminology and definitions for data extracted. Data were extracted on study design, study setting and population, problem targeted, solution selected to address problem, QI strategies used, and outcomes (implementation, service, and resident). We extracted descriptions of the solutions to address the targeted problem, and in cases where the solution was an intervention, we extracted the intervention name, if available. We applied an iterative process to code QI strategies and implementation outcomes. We developed an initial coding strategy, derived from existing taxonomies and lists of QI and implementation strategies [22, 31, 32] as well as implementation outcomes [22, 33]. We then applied and iteratively revised the coding strategy to fully capture data identified in our review.

Table 1 Terminology and definitions for data extracted
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Synthesis of results

Data were entered into a matrix and organized so that publications reporting on a single study were grouped together. Studies then were organized by design: cluster randomized and controlled trials, non-randomized and controlled studies, and non-randomized and non-controlled studies. We used vote counting to identify the frequency that studies reported each type of QI strategy, implementation outcome, and statistically significant service and/or resident outcomes.

Results

As indicated in the PRISMA-ScR diagram (Additional File 2), 77 articles on 59 studies met the inclusion criteria; characteristics of these 59 studies are presented in Table 2. Studies were conducted in the US (n = 41), Canada (n = 7), England (n = 4), and other countries (n = 7). The sample size ranged from 2 to 105 NHs, with a median of 12 NHs. Study designs included cluster randomized and controlled studies (n = 12), non-randomized and controlled studies (n = 12), and non-randomized and non-controlled studies (n = 35).

Table 2 Study Characteristics (N = 59 studies)
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Clinical problems and solutions

Studies of QI focused on 23 clinical problems in care of frail, older adults; most commonly, pressure ulcers (n = 8), falls (n = 8), pain (n = 8), and hospital transfers (n = 7). Solutions to address these problems were enacted by NH staff working on inter-disciplinary teams. In 56 studies (95%), team members included existing NH staff, such as physicians, nursing assistants, nurses and nurse practitioners, pharmacists, and social workers. In three studies, nurses and/or nurse practitioners were added to existing NH teams to deliver new care practices and support the work of others. In 16 studies (27%), the solution was a practice guideline or intervention protocol, such as the Falls Management Program [34]. In other studies (73%), the solution was reported as a synthesis of evidence from practice guidelines, systematic reviews, clinical trials, and/or pilot studies. Moreover, in some studies solutions included a synthesis of evidence and added staff members, for example, OPTIMISTIC and the Missouri Quality Initiative [35, 36]. Across studies, reports on the characteristics of solutions varied widely and often did not identify an intervention protocol for improving care.

QI strategies

Studies included a range of QI strategies to support uptake or sustainment of clinical solutions (Fig. 2); an average of 6 to 7 QI strategies were used in each study. The most frequently reported strategies were in-person training (n = 55), technical assistance (n = 50), tools/toolkits (n = 47), audit and feedback (n = 40), and implementation teams (n = 39). In 42 studies (71%), authors reported using a bundle of three QI strategies that included tools/toolkits, in-person training, and technical assistance. In contrast, other QI strategies were reported less frequently; PDSA cycles were reported in 20 studies (34%) and modifications in electronic health records systems were reported in 6 studies (10%).

Fig. 2
figure 2

Frequency of Quality Improvement Strategies (N = 59 Studies)

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Implementation outcomes

Fifty-eight studies (98%) included descriptions of implementation outcomes (Fig. 3), and an average of two implementation outcomes was reported per study. The most frequently reported outcome was NH staff perceptions of the feasibility, acceptability, or satisfaction with the clinical intervention and/or the QI strategies (n = 37). Other more common implementation outcomes were reach to residents (n = 32), setting adoption (n = 24), and reach to staff [20]. Comparison of these outcomes across studies was limited by variability in how outcomes were measured. For example, a common pattern of reporting reach to staff and reach to residents was the number of staff trained or residents who received new services, as opposed to the rate that eligible staff were trained or eligible residents received new services. Finally, the outcome, fidelity to intervention protocols, was rarely reported.

Fig. 3
figure 3

Frequency of Implementation Outcomes (N = 59 Studies)

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Service and resident outcomes

Articles from 49 of 59 studies (85%) included descriptions of service outcomes, such as improving the quality of falls prevention or pain prevention and management services. Of the 49 studies reporting service outcomes, 37 studies included tests of statistical significance of change; 31 of these 37 studies (84%) indicated significant improvements in at least one service outcome. Across these 31 studies, 4 studies used randomized and controlled designs and 27 studies (87%) used non-randomized and controlled designs or non-randomized and non-controlled designs. More commonly reported improvements in service outcomes were the quality of services related to pain (N = 7), pressure ulcers (N = 3), advance care planning or end-of-life care (N = 3), and changes in medication prescribing (N = 4), such as antibiotic or antipsychotic medication. Moreover, articles from 34 of 59 studies included descriptions of resident outcomes (e.g., falls rate and rate of pressure ulcers). Of these, 33 of 34 studies included tests of statistical significance; 20 of 33 studies (61%) indicated significant improvement in at least one resident outcome. Among the 20 studies demonstrating significant improvement, the more commonly improved resident outcomes were pressure ulcers (N = 5), hospital transfers (N = 3), and resident falls (N = 2).

Discussion

In this scoping review of peer-reviewed articles of QI in NHs, we identified patterns in the types of quality problems addressed in NHs, solutions selected to target those problems, QI strategies used to implement solutions, and the impact that solutions and QI strategies had on implementation, service, and client outcomes. As discussed below, several features of the literature and our review methods limited our ability to fully map how QI strategies are being used in NH. Despite these limitations, the review provides a foundation for understanding how QI strategies are used and suggests practical steps to improve future QI and implementation studies in NHs.

Limitations

The potential for publication bias was a major limitation in this review. A large majority of QI work in NHs is not meant for publication and is not reflected in this review, which was limited to peer-reviewed articles reporting on QI studies. Moreover, many published reports likely had external funding and may not be generalizable to QI across NHs. Another limitation is that terminology is inconsistently applied in the QI literature and this limits efforts to extract data and synthesize findings across studies. In this review, we opted to be broadly inclusive in both our study selection and data extraction. As result, we included a diversity of studies, including studies of intervention effectiveness that a more conservative definition of quality improvement studies might have excluded. This fit the goal of the scoping review, which was to map how QI methods are being used in published research in NHs. In extracting data, we were particularly liberal in our classification of implementation outcomes. For example, when studies reported the number of NH residents that received new services, we classified this as the implementation outcome “reach,” even when authors did not identify it as an outcome or did provide other elements of reach, such as the reporting on the proportion of eligible residents who received the service. Furthermore, we encountered challenges in our use of the Framework for Implementation Research to categorize attributes of QI reports. While some aspects of QI and implementation science overlap, the distinction between “what” investigators choose to implement (solutions/interventions) and “how” they implement it” (implementation strategies) is not always a characteristic of QI. Authors frequently integrated reports of clinical solutions and QI strategies which made is difficult to extract the two as separate phenomenon. Further, authors often presented evidence of multiple service and/or resident outcomes; we coded outcomes as effective if evidence that at least one outcome indicated improvement; thus, our findings may over-state study outcomes. Several strengths of our study procedures reduced the occurrence and the impact of these risks of error; for example, we used an evidence-informed codebook to categorize solutions, QI strategies, implementation, service, and resident outcomes. Further, two investigators independently coded all reports and disagreements in coding decisions were resolved in discussion. Finally, we used a team process to generate and describe patterns in the synthesis of study findings; this included reviews of data in our data matrix, study tables and figures, and the narrative report of study findings.

A summary of review findings and the fit of findings with prior research are described below.

Problems addressed

The 59 studies addressed a range of care problems in NHs, with pressure ulcers, falls, pain, and hospital transfers among the problems most frequently addressed. Many enduring NH care problems were under-studied, such as antibiotic stewardship [37] and support for people living with dementia [38,39,40]. Similarly, our study did not capture any studies on the topic of isolation and only one study of quality of life, suggesting opportunities for future improvement programs.

Solutions selected to target problems

Most articles included few details about the solution and solutions were reported as a synthesis of evidence from multiple sources. Indeed, only 27% of studies examined improvement with specific interventions or practice guidelines; for example, in a QI program to improve pain management, Kaasalainen et al. reported the use of a protocol based on clinical practice guidelines published by the American Medical Directors Association and the American Geriatrics Society [41]. The lack of information on solutions limits the ability of others to replicate or compare solutions across studies. One explanation is that QI historically has focused on generating local solutions that are not intended to be generalized [17, 23]. As such, the intent of many QI reports is to share the process used to arrive at the solution rather than the solutions themselves. This was reflected in our finding that descriptions of clinical solutions and QI strategies frequently were reported together.

QI strategies used to implement solutions

Authors described using an average of 6–7 QI strategies to implement solutions and address clinical problems. Authors were more likely to describe the strategies used by research teams and others external to the NH (e.g., tools, training, and technical assistance) than they were to describe the strategies used by staff internal to the NH (e.g., implementation teams, process mapping, root cause analysis, and PDSA cycles). With the exception of implementation teams, our findings indicate that internal NH strategies were used in less than half the studies. These findings are consistent with earlier research in NHs [19,20,21] and prior reviews on the limited use of PDSA cycles in QI studies in other settings [26, 42].

The disproportionate focus on QI strategies used by those external to NHs, as compared to those used by staff in NHs, may be an area for improvement. QI studies are time-limited and, at the end of the study, those providing training, technical assistance, and other externally delivered strategies often move on to the next study. For changes in NHs to be sustained over time, NH staff must be able to engage in QI strategies and continue monitoring a problem and its solution and overcoming barriers over time [43]. Greater attention to NH internal strategies also has the potential to build capacity of NH staff to apply QI when new problems arise [44]. Describing internal QI strategies also is critical to understanding the causal pathway through which external QI strategies affect change in service and client outcomes [45]. For example, to what extent do NH staff who participate in a QI collaborative complete the recommended internal QI strategies (e.g., conduct PDSA cycles to iteratively develop and test potential solutions)? Among reviewed studies, Hartmann and colleagues exemplify the value of studying both external and internal QI strategies. The study team trained NH staff to conduct QI cycles using the “LOCK” model (Look for bright spots, Observations by everyone, Collaborate in huddles, and Keep it bite sized) [46]. The study team also evaluated staff use of the LOCK model. Findings indicated this approach helped staff appraise the advantages of new care practices and learn how to apply them with NH residents [40].

Implementation outcomes

On average, studies reported findings on two implementation outcomes, with 63% of studies reporting on NH staff perceptions of participating in QI programs or using new solutions, 54% of studies reporting on the reach of new care practices (solutions) to residents, 41% reporting on NH adoption, and 3% reported on fidelity to written protocols. These findings accord with evidence in reviews of QI studies in other settings [15, 21]; for example, fidelity was described in fewer than half of reports on randomized trials of QI initiatives to improve management of chronic kidney disease [47].

Evaluating the impact of QI strategies on implementation outcomes is necessary to answer questions about when and how QI strategies work in NHs [17, 28, 48]. For example, how many and what types of NH staff must be reached for QI strategies to improve service and resident outcomes? What type and dose (e.g., duration and frequency) of QI strategies increase the proportion of eligible residents reached by a clinical solution and promote equitable reach across subpopulations? In this review, exemplars of the practical utility of measuring implementation outcomes included a study of Zimmerman and colleagues, who reported a successful QI program in 6 NHs to reduce antibiotic prescribing [37]. The outcomes of this program were in part attributed to the wide reach of antibiotic stewardship training, which reached more than half of the physicians and nurses providing care in the NHs. Consistent with prior literature [18], rigorous measurement of implementation outcomes provided essential data to explain the impact of QI strategies on service and resident outcomes.

Service and resident outcomes

A major challenge for studying QI is that the observational design of most studies may not account for factors outside of investigator control that influence the impact of solutions on outcomes; moreover, few are designed with sufficient power to avoid a type I or type II error [49]. Thus, findings in this review, which suggest that half of QI studies significantly improved service or resident outcomes, likely include substantial risk of bias. These findings support earlier research in NHs [20, 21]. However, the findings should be interpreted cautiously, recognizing that QI is usually focused on incremental changes to overcome local problems, and not statistical power. An additional limitation in studies was the tendency to compare outcomes before and after the start of the QI program, when analysis of change over time, using run charts and other longitudinal approaches, may provide more accurate data about performance [17].

Recommendations for future research and practice

Review findings suggest several implications for future research and practice. First, reporting of results would be improved by following the SQUIRE or other guidelines for reporting QI studies [48, 50]. Of note, the SQUIRE guidelines define “interventions” broadly to include both clinical interventions and QI interventions (i.e., QI strategies). To avoid confusion, we recommend that authors clearly distinguish between clinical and QI intervention activities and provide a summary of the evidence in support of their clinical interventions, including citations to prior relevant studies. Efforts to replicate and synthesize the findings from QI studies also may benefit from recent advances in implementation science. Guidelines for reporting implementation strategies could also be applied to QI strategies, including recommendations to report the actor (who enacted the strategy), action (specific activities involved), and action target (the specific barrier or facilitator that the action is intended to change) [51]. In reporting QI strategies, we further recommend that authors distinguish between the strategies enacted by intermediaries external to the NH and those enacted by staff internal to the NH [52]. Lastly, we recommend that authors of QI studies consider using existing taxonomies of implementation outcomes to improve consistency in how they are named, defined, and operationalized [28, 33].

In addition to recommendations for improving the reporting of QI studies, our findings suggest several opportunities for future research. First, NHs are required to develop Quality Assurance Programs Improvement programs (QAPI); yet, little is known about the extent to which NHs have developed QAPI infrastructure or how it varies. Research is needed to understand how QAPI in NHs is functioning so that QI initiatives can be designed to align with, build, and leverage existing QI capacity; for example, evidence in a national QAPI registry could be used to describe and evaluate of QAPI programs. Second, studies in this review used multiple QI strategies and those strategies were enacted by both NH staff and intermediary organizations. Multi-level research studies are needed to understand how these strategies interact and to identify which bundles of strategies are most effective under what circumstances [53]. Moreover, future systematic reviews may be needed to describe multi-level strategies and improvement related to specific problems, such as falls, pain, and hospital transfers. Third, if evidence-based practitioners are going to spread findings from QI studies, there must be a way to measure and report how the QI was implemented even though that is not a typical part of the methodology. For example, new approaches for evaluating and reporting fidelity and adaption are needed to identify whether clinical interventions and QI strategies were delivered as intended as well as how and why they were adapted. This information is key to understanding how clinical interventions and QI strategies work and to identify opportunities for further refinement [54, 55]. Fourth, as noted in previous research [44, 56], future studies are needed that assess the sustainment of improvement over time. Studies also are needed to characterize the context of care in NHs and describe contextual factors that interact with QI programs and influence outcomes [57], for example, NH administration, organizational structure, health records systems, and coordination with medical staff. Finally, future reviews of QI in NHs are needed to describe (1) QI programs that are not in peer-reviewed publications (2), involvement of family caregivers in QI (3), sources of funding and author affiliations for published studies, and (4) the extent to which SQUIRE guidelines are followed.

Conclusions

The purpose this review was to map-out QI research in NHs and to offer preliminary guidance for future studies designed to promote the replication and synthesis of promising solutions. This review also provides recommendations for refining procedures for more effective improvement work in NHs. While the reports of QI in NHs and elements of this review had limitations, QI was observed as a promising approach to improve care for older adults in NHs.

Availability of data and materials

The datasets used and/or analyzed in the current study are available from the corresponding author on reasonable request.

Abbreviations

NC:

North Carolina

QI:

Quality improvement

NH:

Nursing homes

PDSA:

Plan-do-study-act

US:

United States

PRISMA-ScR:

Preferred Reporting Items for Systematic Reviews and Meta-Analysis extension for Scoping Reviews

CINAHL:

Cumulative Index to Nursing and Allied Health Literature

EBSCO:

Elton B. Stephens Company

QAPI:

Quality Assurance and Performance Improvement

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  1. University of North Carolina at Chapel Hill, Chapel Hill, USA

    Mark Toles, Elizabeth Moreton, Lauren Frey & Jennifer Leeman

  2. Duke University and Durham VA GRECC, Durham, USA

    Cathleen Colón-Emeric

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MT led the conceptualization and writing of this manuscript and served as the study’s implementation science lead. MT, JL and CCE conceptualized the study. EM and MT co-developed the search and EM conducted the search. MT, JL and LF screened papers and abstracted data. MT, JL, and LF synthesized findings. All authors read and approved this paper.

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Toles, M., Colón-Emeric, C., Moreton, E. et al. Quality improvement studies in nursing homes: a scoping review. BMC Health Serv Res 21, 803 (2021). https://doi.org/10.1186/s12913-021-06803-8

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  • Published:

  • DOI: https://doi.org/10.1186/s12913-021-06803-8

Keywords

BMC Health Services Research

ISSN: 1472-6963

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