Nosocomial urinary tract infection: nursing-sensitive quality indicator in a Thai hospital

Identifying gaps in global evidence for nurse staffing and patient care outcomes research in low/middle-income countries: an umbrella review

OBJECTIVE

To identify nurse staffing and patient care outcome literature in published systematic reviews and map out the evidence gaps for low/middle-income countries (LMICs).

METHODS

We included quantitative systematic reviews on nurse staffing levels and patient care outcomes in regular ward settings published in English. We excluded qualitative reviews or reviews on nursing skill mix. We searched the Cochrane Register of Systematic Reviews, the Joanna Briggs Institute Database of Systematic Reviews and Implementation Reports, Medline, Embase and Cumulative Index to Nursing and Allied Health Literature from inception until July 2021. We used the A Measurement Tool to Assess Systematic Reviews -2 (AMSTAR-2) criteria for risk of bias assessment and conducted a narrative synthesis.

RESULTS

From 843 papers, we included 14 in our final synthesis. There were overlaps in primary studies summarised across reviews, but overall, the reviews summarised 136 unique primary articles. Only 4 out of 14 reviews had data on LMIC publications and only 9 (6.6%) of 136 unique primary articles were conducted in LMICs. Only 8 of 23 patient care outcomes were reported from LMICs. Less research was conducted in contexts with staffing levels that are typical of many LMIC contexts.

DISCUSSION

Our umbrella review identified very limited data for nurse staffing and patient care outcomes in LMICs. We also identified data from high-income countries might not be good proxies for LMICs as staffing levels where this research was conducted had comparatively better staffing levels than the few LMIC studies. This highlights a critical need for the conduct of nurse staffing research in LMIC contexts.

LIMITATIONS

We included data on systematic reviews that scored low on our risk of bias assessment because we sought to provide a broad description of the research area. We only considered systematic reviews published in English and did not include any qualitative reviews in our synthesis.

PROSPERO REGISTRATION NUMBER

CRD42021286908.

Nursing-sensitive indicators for nursing care: A systematic review (1997-2017)

AIM

To provide a systematic review of the literature from 1997 to 2017 on nursing-sensitive indicators.

DESIGN

A qualitative design with a deductive approach was used.

DATA SOURCES

Original and Grey Literature references from Cochrane Library, Medline/PubMed, Embase, and CINAHL, Google Scholar Original and Grey Literature.

REVIEW METHODS

Quality assessment was performed using the NIH Quality Assessment Tool for Observational Cohort and Cross-Sectional Studies.

RESULTS

A total of 3,633 articles were identified, and thirty-nine studies met the inclusion criteria. The quantitative assessment of investigated relationships in these studies suggests that nursing staffing, mortality, and nosocomial infections were the most frequently reported nursing-sensitive indicators.

CONCLUSION

This review provides a comprehensive list of nursing-sensitive indicators, their frequency of use, and the associations between these indicators and various outcome variables. Stakeholders of nursing research may use the findings to streamline the indicator development efforts and standardization of nursing-sensitive indicators.

IMPACT

This review provides evidence-based results that health organizations can benefit from nursing care quality.

Hospital Staffing and Health Care-Associated Infections: A Systematic Review of the Literature

BACKGROUND

Previous literature has linked the level and types of staffing of health facilities to the risk of acquiring a health care-associated infection (HAI). Investigating this relationship is challenging because of the lack of rigorous study designs and the use of varying definitions and measures of both staffing and HAIs.

METHODS

The objective of this study was to understand and synthesize the most recent research on the relationship of hospital staffing and HAI risk. A systematic review was undertaken. Electronic databases MEDLINE, PubMed, and the Cumulative Index to Nursing and Allied Health Literature (CINAHL) were searched for studies published between January 1, 2000, and November 30, 2015.

RESULTS

Fifty-four articles were included in the review. The majority of studies examined the relationship between nurse staffing and HAIs (n = 50, 92.6%) and found nurse staffing variables to be associated with an increase in HAI rates (n = 40, 74.1%). Only 5 studies addressed non-nurse staffing, and those had mixed results. Physician staffing was associated with an increased HAI risk in 1 of 3 studies. Studies varied in design and methodology, as well as in their use of operational definitions and measures of staffing and HAIs.

CONCLUSION

Despite the lack of consistency of the included studies, overall, the results of this systematic review demonstrate that increased staffing is related to decreased risk of acquiring HAIs. More rigorous and consistent research designs, definitions, and risk-adjusted HAI data are needed in future studies exploring this area.

Occupancy rate and adverse patient outcomes in general hospitals in Thailand: A predictive study

Patient outcomes are important indicators of the quality of care. Occupancy rate is one factor that significantly affects adverse patient outcomes. The aim of the present study was to determine factors associated with adverse patient outcomes in Thailand. A retrospective study was conducted with 146 inpatient units from 16 general hospitals. Hospital characteristics and adverse patient outcomes were recorded, and data were analyzed by using frequency, percentage, and binomial logistic regression. The results revealed that the average number of beds per hospital was 430.5 (standard deviation [SD] = 108.6), the average number of beds per unit was 27.9 (SD = 8.9), and the average occupancy rate was 81.1% (SD = 20.6, range = 28.8-133.1%). Data were adjusted for hospital size, unit type, and number of beds in each unit; a 1% increase in occupancy rate increased the likelihood of pressure ulcers by 4.3% (P = 0.001), of hospital-acquired pneumonia by 2.4% (P = 0.032), and of hospital-acquired urinary tract infections by 2.1% (P = 0.033). The findings suggest that a higher level of occupancy rates predicted a greater likelihood of adverse patient outcomes.

Studies on nurse staffing and health care-associated infection: methodologic challenges and potential solutions

BACKGROUND

Researchers have been studying hospital nurse staffing in relation to health care-associated infections (HAIs) for >2 decades, and the results have been mixed. We summarized published research examining these issues, critically analyzed the commonly used approaches, identified methodologic challenges, proposed potential solutions, and suggested the possible benefits of applying an electronic health record (EHR) system.

METHODS

A scoping review was conducted using MEDLINE and CINAHL from 1990 onward. Original research studies examining relationships between nurse staffing and HAIs in the hospital setting and published in peer-reviewed English-language journals were selected.

RESULTS

A total of 125 articles and abstracts were identified, and 45 met inclusion criteria. Findings from these studies were mixed. The methodologic challenges identified included database selection, variable measurement, methods to link the nurse staffing and HAI data, and temporality. Administrative staffing data were often not precise or specific. The most common method to link staffing and HAI data did not assess the temporal relationship. We proposed using daily staffing information 2-4 days prior to HAI onset linked to individual patient HAI data.

CONCLUSION

To assess the relationships between nurse staffing and HAIs, methodologic decisions are necessary based on what data are available and feasible to obtain. National efforts to promote an EHR may offer solutions for future studies by providing more comprehensive data on HAIs and nurse staffing.

Nursing-sensitive indicators: a concept analysis

AIM

To report a concept analysis of nursing-sensitive indicators within the applied context of the acute care setting.

BACKGROUND

The concept of 'nursing sensitive indicators' is valuable to elaborate nursing care performance. The conceptual foundation, theoretical role, meaning, use and interpretation of the concept tend to differ. The elusiveness of the concept and the ambiguity of its attributes may have hindered research efforts to advance its application in practice.

DESIGN

Concept analysis.

DATA SOURCES

Using 'clinical indicators' or 'quality of nursing care' as subject headings and incorporating keyword combinations of 'acute care' and 'nurs*', CINAHL and MEDLINE with full text in EBSCOhost databases were searched for English language journal articles published between 2000-2012. Only primary research articles were selected.

METHODS

A hybrid approach was undertaken, incorporating traditional strategies as per Walker and Avant and a conceptual matrix based on Holzemer's Outcomes Model for Health Care Research.

RESULTS

The analysis revealed two main attributes of nursing-sensitive indicators. Structural attributes related to health service operation included: hours of nursing care per patient day, nurse staffing. Outcome attributes related to patient care included: the prevalence of pressure ulcer, falls and falls with injury, nosocomial selective infection and patient/family satisfaction with nursing care.

CONCLUSION

This concept analysis may be used as a basis to advance understandings of the theoretical structures that underpin both research and practical application of quality dimensions of nursing care performance.

Hospital staffing and health care-associated infections: a systematic review of the literature

In the past 10 years, many researchers have examined relationships between hospital staffing and patients' risk of health care-associated infection (HAI). To gain understanding of this evidence base, a systematic review was conducted, and 42 articles were audited. The most common infection studied was bloodstream infection (n=18; 43%). The majority of researchers examined nurse staffing (n=38; 90%); of these, only 7 (18%) did not find a statistically significant association between nurse staffing variable(s) and HAI rates. Use of nonpermanent staff was associated with increased rates of HAI in 4 studies (P<.05). Three studies addressed infection control professional staffing with mixed results. Physician staffing was not found to be associated with patients' HAI risk (n=2). The methods employed and operational definitions used for both staffing and HAI varied; despite this variability, trends were apparent. Research characterizing effective staffing for infection control departments is needed.