Licensed nurse staffing and adverse events in hospitals

The Effect of Variations in Nurse Staffing on Patient Length of Stay in the Acute Care Setting

This study examines the relationship between nurse staffing and patient length of stay (LOS). Data were collected on nurses employed and patients admitted to one of four study units located in two Midwest hospitals. Three nursing variables (hours per patient day [HPPD], skill mix, and nursing expertise) were collected through survey and administrative forms. The nursing data were then linked with patient-specific characteristics (deviation from expected LOS) to test the relationship at the patient level of analysis. Average HPPD was a positive predictor of deviation from expected LOS, whereas overall expertise was a negative predictor of deviation from expected LOS. Higher staffing levels may result in patients being discharged sooner than expected. Nurse administrators must consider the quantity as well as quality of staff when determining optimal staffing levels. Unit staffing levels must include nurses who have both experiential and theoretical knowledge in order to achieve optimal patient outcomes.

Can state databases be used to develop a national, standardized hospital nurse staffing database?

This study evaluates the feasibility of building a national, standardized hospital nurse staffing database from state data collections in order to improve the availability of valid, reliable nursing staffing measures and to allow linkage to other databases. A state-by-state review of public and private reporting systems reveals that 25 states collect some form of nurse staffing data. Out of those, 12 states make complete, usable data available, and 5 additionally meet data quality and specificity criteria. Our review finds that there is little consistency in the content of the RN measure, which makes it difficult to conduct multistate research on nurse staffing topics. We recommend the long-term development of two types of nurse staffing databases: a state-by-state collection, and a standardized, multistate database with uniform data elements across states. This mixed approach will provide a comprehensive source of nurse staffing data to researchers with diverse analytic needs.

Nurse staffing and cost of care in adult intensive care units in a university hospital in Thailand

Decisions about nurse staffing levels in intensive care units (ICUs) should be guided by research to ensure optimal outcomes. This descriptive correlational study in a large Thai hospital was designed to evaluate the effect of nurse staffing levels on the costs of care, in terms of medical care cost per patient day and health personnel cost per patient day, in ICUs. The costing data were collected prospectively from the records of 242 critically ill patients while the nurse staffing levels were extracted from hospital management reports. The findings showed that a nurse staffing model with a higher number of registered nurses (RNs) led to an increase in the health personnel cost per patient day. However, a greater number of RNs was associated with improved patient safety and efficiency, thereby reducing the length of stay and the costs of care in the long term. This study provides evidence to support decisions by hospital administrators concerning RN staffing levels.

The business case for nursing in long-term care

Lower nurse staffing in hospitals has been associated with adverse patient outcomes; results in nursing homes (NHs) are less clear. We examined the association between nurses' direct care time and outcomes in long-stay NH residents and potential cost savings from decreased adverse outcomes versus additional wages for adequate nurse staffing. Data were from the National Pressure Ulcer Long-Term Care Study of 1,376 at-risk residents from 82 NHs. Primary data came from medical records. Hospital, pressure ulcer (PrU) treatment, and urinary tract infection (UTI) costs were from national statistics or cost-identification studies. Time horizon was 1 year. More registered nurse (RN) direct care time/resident/day was associated with fewer PrUs, hospitalizations, and UTIs. Annual net societal benefit was $3,191/resident/year in high-risk NH units with 30-40 min of RN time/resident/day versus units with <10 min. Thus, after controlling for important variables, more RN time/day was strongly associated with better outcomes and lower societal cost.

Nurse absenteeism and workload: negative effect on restraint use, incident reports and mortality

AIM

This paper is a report of a study to assess the impact of nurse absenteeism on the quality of patient care.

BACKGROUND

Nurse absenteeism is a growing management concern. It can contribute to understaffed units, staffing instability, and other factors that could have a negative impact on patient care. The impacts of absenteeism on the quality of nursing care have rarely been studied.

METHOD

Retrospective monthly data from incident reports and staffing records in six inpatient units for 2004 were analysed. Dependent variables were the numbers of restraints, alternatives to restraints, incident reports, deaths, and length of stay. Explanatory variables were nurse absenteeism hours, patient days per nursing staff, and interaction between these variables. Controls were patient acuity and unit characteristics. Fixed effects regressions were analysed as regular or negative binomial models.

FINDINGS

Neither high Registered Nurse absenteeism nor high patient load was related to restraint use when taken separately. However, high Registered Nurse absenteeism was related to restraint use when patient load was high. Registered Nurse absenteeism was related to a lower use of alternatives to restraints. Incident reports were increased by high patient load, but not absenteeism, or absenteeism given patient load. When both patient load and absenteeism were high, deaths were higher also.

CONCLUSION

Absenteeism alone may not be a strong factor in lowering quality, but the combination of high Registered Nurse absenteeism and high patient load could be a factor. Staffing and absenteeism may be part of a vicious cycle in which low staffing contributes to unit absenteeism, which contributes to low staffing, and so on.

Staffing level: a determinant of late-onset ventilator-associated pneumonia

Introduction

The clinical and economic burden of ventilator-associated pneumonia (VAP) is uncontested. We conducted the present study to determine whether low nurse-to-patient ratio increases the risk for VAP and whether this effect is similar for early-onset and late-onset VAP.

Methods

This prospective, observational, single-centre cohort study was conducted in the medical intensive care unit (ICU) of the University of Geneva Hospitals. All patients who were at risk for ICU-acquired infection admitted from January 1999 to December 2002 were followed from admission to discharge. Collected variables included patient characteristics, admission diagnosis, Acute Physiology and Chronic Health Evaluation II score, co-morbidities, exposure to invasive devices, daily number of patients and nurses on duty, nurse training level and all-site ICU-acquired infections. VAP was diagnosed using standard definitions.

Results

Among 2,470 patients followed during their ICU stay, 262 VAP episodes were diagnosed in 209/936 patients (22.3%) who underwent mechanical ventilation. Median duration of mechanical ventilation was 3 days (interquartile range 2 to 6 days) among patients without VAP and 11 days (6 to 19 days) among patients with VAP. Late-onset VAP accounted for 61% of all episodes. The VAP rate was 37.6 episodes per 1,000 days at risk (95% confidence interval 33.2 to 42.4). The median daily nurse-to-patient ratio over the study period was 1.9 (interquartile range 1.8 to 2.2). By multivariate Cox regression analysis, we found that a high nurse-to-patient ratio was associated with a decreased risk for late-onset VAP (hazard ratio 0.42, 95% confidence interval 0.18 to 0.99), but there was no association with early-onset VAP.

Conclusion

Lower nurse-to-patient ratio is associated with increased risk for late-onset VAP.

Nurse staffing levels: impact of organizational characteristics and registered nurse supply

OBJECTIVE

To assess the impact of nurse supply in the geographic areas surrounding hospitals on staffing levels in hospital units, while taking into account other factors that influence nurse staffing.

DATA SOURCES

Data regarding 279 patient care units, in 47 randomly selected community hospitals located in 11 clusters in the United States, were obtained directly from the hospitals from the U.S. Census report, National Council of State Boards of Nursing, and The Centers for Medicare and Medicaid Services.

STUDY DESIGN

Cross-sectional analyses with linear mixed modeling to control for nesting of units in hospitals were conducted. For each patient care unit, the hours of care per patient day from registered nurses (RNs), LPNs, nursing assistants, and the skill-mix levels were calculated. These measures of staffing were then regressed on type of unit (intensive care, medical/surgical, telemetry/stepdown), unit size, hospital complexity, and RN supply.

PRINCIPAL FINDINGS

RN hours per patient day and RN skill mix were positively related to intensity of patient care, hospital complexity, and the supply of RNs in the geographic area surrounding the hospital. LPN hours, and licensed skill mix were predicted less reliably but appear to be used as substitutes for RNs. Overtime hours increased in areas with a lower RN supply. Vacancy and turnover rates and the use of contract nurses were not affected by nurse supply.

CONCLUSIONS

This study is the first to show that hospital RN staffing levels on both intensive care and nonintensive care units decrease as the supply of RNs in the surrounding geographic area decreases. We also show that LPN hours rise in areas where RN supply is lower. Further research to describe the quality of hospital care in relation to the supply of nurses in the area is needed.

Nurse staffing and patient, nurse, and financial outcomes

Because there's no scientific evidence to support specific nurse-patient ratios, and in order to assess the impact of hospital nurse staffing levels on given patient, nurse, and financial outcomes, the author conducted a literature review. The evidence shows that adequate staffing and balanced workloads are central to achieving good outcomes, and the author offers recommendations for ensuring appropriate nurse staffing and for further research.

Safe staffing for the post anesthesia care unit: weighing the evidence and identifying the gaps

Postanesthesia nursing care and standards are continually evolving. ASPAN has the professional responsibility to develop standards of nursing practice to promote a safe environment of care. Currently, ASPAN's recommended staffing ratios are based on the best available evidence: expert opinion and consensus. Our Society believes that these nurse-to-patient ratios have served to provide safe, quality patient care. In 2006, the ASPAN Safe Staffing Strategic Work Team was charged with conducting a national PACU Safe Staffing Evidence-Based Practice (EBP) project. The purpose of this EBP staffing project was to search the scientific staffing evidence in an attempt to validate ASPAN's staffing ratios. This expert panel critically weighed the nursing evidence on staffing ratios, workload intensity, patient acuity, nursing-sensitive outcomes, and nursing-sensitive indicators, including appropriate critical care studies because of the scarce number of postanesthesia studies. The outcome of this dynamic initiative revealed the need to develop nursing-sensitive perianesthesia indicators that can provide patient outcomes used to assess the effectiveness of staffing ratios. Finally, research gaps were identified and the next steps in the generation of knowledge needed to build safe staffing evidence were identified in ASPAN's Strategic Research Staffing Plan.

The association of registered nurse staffing levels and patient outcomes: systematic review and meta-analysis

OBJECTIVE

To examine the association between registered nurse (RN) staffing and patient outcomes in acute care hospitals.

STUDY SELECTION

Twenty-eight studies reported adjusted odds ratios of patient outcomes in categories of RN-to-patient ratio, and met inclusion criteria. Information was abstracted using a standardized protocol.

DATA SYNTHESIS

Random effects models assessed heterogeneity and pooled data from individual studies. Increased RN staffing was associated with lower hospital related mortality in intensive care units (ICUs) [odds ratios (OR), 0.91; 95% confidence interval (CI), 0.86-0.96], in surgical (OR, 0.84; 95% CI, 0.80-0.89), and in medical patients (OR, 0.94; 95% CI, 0.94-0.95) per additional full time equivalent per patient day. An increase by 1 RN per patient day was associated with a decreased odds ratio of hospital acquired pneumonia (OR, 0.70; 95% CI, 0.56-0.88), unplanned extubation (OR, 0.49; 95% CI, 0.36-0.67), respiratory failure (OR, 0.40; 95% CI, 0.27-0.59), and cardiac arrest (OR, 0.72; 95% CI, 0.62-0.84) in ICUs, with a lower risk of failure to rescue (OR, 0.84; 95% CI, 0.79-0.90) in surgical patients. Length of stay was shorter by 24% in ICUs (OR, 0.76; 95% CI, 0.62-0.94) and by 31% in surgical patients (OR, 0.69; 95% CI, 0.55-0.86).

CONCLUSIONS

Studies with different design show associations between increased RN staffing and lower odds of hospital related mortality and adverse patient events. Patient and hospital characteristics, including hospitals' commitment to quality of medical care, likely contribute to the actual causal pathway.

Review: how do hospital organizational structure and processes affect quality of care?: a critical review of research methods

Interest in organizational contributions to the delivery of care has risen significantly in recent years. A challenge facing researchers, practitioners, and policy makers is identifying ways to improve care by improving the organizations that provide this care, given the complexity of health care organizations and the role organizations play in influencing systems of care. This article reviews the literature on the relationship between the structural characteristics and organizational processes of hospitals and quality of care. The review uses Donabedian's structure-process-outcome and level of analysis frameworks to organize the literature. The results of this review indicate that a preponderance of studies are conducted at the hospital level of analysis and are predominantly focused on the organizational structure-quality outcome relationship. The article concludes with recommendations of how health services researchers can expand their research to enhance one's understanding of the relationship between organizational characteristics and quality of care.

Concerns in workforce development: linking certification and credentialing to outcomes

Investments in public health workforce development are based on the assumption that capacity and competencies are linked with the effectiveness and efficiency of providing essential public health services. However, evidence of the effects of workforce quantity or quality on the performance of core public health functions is limited. A review of public health, health care, and teacher education literature was conducted to determine the state of research in the field and to identify promising approaches and study designs for application to public health workforce training. A total of 861 articles and abstracts were reviewed from the health literature and 470 from teacher education literature. Sixty-five reports in the public health or health care literature and 68 in the education literature met the inclusion criteria. Eleven studies in public health or health literature reported positive correlations and 3 determined no substantial correlation to credentials. In the education literature, 10 studies reported a positive link, whereas 9 studies reported mixed or nonsignificant results. We conclude that a paucity of quality research or compelling evidence exists linking certification or credentialing to any related outcome. Until further research is conducted, discussions on the need for public health workforce certification and credentialing will be based on good-faith expectations for improving individual and organizational performance.

Nurse Staffing and Patient Outcomes in Inpatient Rehabilitation Settings

In rehabilitation nursing, the patient classification systems or acuity models and nurse-staffing ratios are not supported by empirical evidence. Moreover there are no studies published characterizing nursing hours per patient day, proportion of RN staff and impact of agency nurses in inpatient rehabilitation settings. The purpose of this prospective observational study was to describe rehabilitation nurse staffing patterns, to validate the impact of rehabilitation nursing on patient outcomes, and to test whether existing patient measures on severity and outcomes in rehabilitation could be used as a proxy for burden of care to predict rehabilitation nurse staffing ceilings and daily nurse staffing requirements. A total of 54 rehabilitation facilities in the United States, stratified by geography, were randomly selected to participate in the study.

Blueprint for Design

The need for healthcare system change is overwhelming: broken systems, an inadequate workforce, patient safety failures, and lack of access to healthcare are but a few of the significant problems confronting healthcare today. Most people agree that things need to change, but they are not sure on what to change or how to change them. A well-developed model can serve as the currency for that change. By considering the evidence of what has worked well in the past and marrying that with what the future will require, we can create a strong sustainable model for professional practice. The authors explore that evidence and discuss the structure, process, and outcomes that should be considered in designing care delivery models for the future.

Nurse working conditions and patient safety outcomes

BACKGROUND

System approaches, such as improving working conditions, have been advocated to improve patient safety. However, the independent effect of many working condition variables on patient outcomes is unknown.

OBJECTIVE

To examine effects of a comprehensive set of working conditions on elderly patient safety outcomes in intensive care units.

DESIGN

Observational study, with patient outcome data collected using the National Nosocomial Infection Surveillance system protocols and Medicare files. Several measures of health status and fixed setting characteristics were used to capture distinct dimensions of patient severity of illness and risk for disease. Working condition variables included organizational climate measured by nurse survey; objective measures of staffing, overtime, and wages (derived from payroll data); and hospital profitability and magnet accreditation.

SETTING AND PATIENTS

The sample comprised 15,846 patients in 51 adult intensive care units in 31 hospitals depending on the outcome analyzed; 1095 nurses were surveyed.

MAIN OUTCOME MEASURES

Central line associated bloodstream infections (CLBSI), ventilator-associated pneumonia, catheter-associated urinary tract infections, 30-day mortality, and decubiti.

RESULTS

Units with higher staffing had lower incidence of CLBSI, ventilator-associated pneumonia, 30-day mortality, and decubiti (P <or= 0.05). Increased overtime was associated with higher rates of catheter-associated urinary tract infections and decubiti, but slightly lower rates of CLBSI (P <or= 0.05). The effects of organizational climate and profitability were not consistent.

CONCLUSIONS

Nurse working conditions were associated with all outcomes measured. Improving working conditions will most likely promote patient safety. Future researchers and policymakers should consider a broad set of working condition variables.

Team structure and adverse events in home health care

OBJECTIVE

To identify relationships between variations in team structure and risk-adjusted adverse events across 86 teams in a large US home health care organization.

METHODS

Patient episode data were collected for two 6-month periods, January-June 2002 (N = 54,732 episodes) and January-June 2003 (N = 51,560 episodes). An adverse event was defined as having 1 or more events defined by the Centers for Medicare and Medicaid Services for home health care episodes. Events were risk adjusted using 2 alternative approaches-a Z-score and a Fixed Effects (FE)-score, for each team in each period. These scores (1 for each team in each period) were then regressed against objective measures of team structure.

RESULTS

The regressions based on the FE-score as the measure of quality performed better than the traditional Z-score. Based on these regressions we find that volume (number of episodes) (P = 0.03), number of weekend visits (P = 0.02), and workload distribution (P = 0.02) were negatively associated with the occurrence of adverse events, whereas higher weekend admissions (P = 0.01) were positively associated with adverse events.

CONCLUSIONS

Our analysis identifies a number of key team-level organizational variables that influence adverse events in home health care services. We also have demonstrated that the FE-score is a more accurate measure of team quality, as opposed to the Z-score, given that it focuses only on "team attributable" adverse events by isolating and excluding random variation from the quality score.

Advancing the science in the measurement of health care quality influenced by nurses

A robust set of quality measures is essential to provide consumers with a vehicleto evaluate nurses' contributions to the care of hospitalized patients, providers, and systems with a set of nursing processes and outcomes to guide quality improvement, and insurers with indicators to reward hospitals for high quality nursing services. The processes employed by the Nursing Care Performance Measures Steering Committee convened by the National Quality Forum (NQF) in 2004 resulted in the endorsement of 15 indicators of health care quality influenced by nurses and contributed to the identification of significant gaps in measurement and priority areas for future research. This critical review of the state of the science related to health care processes and outcomes that reflect nurses' contributions to the quality of care for hospitalized patients is intended to push the boundaries in the measurement of nursing performance. Specific recommendations for future research and measure development are presented.

Nursing skill mix and outcomes: a Singapore perspective

AIM

To summarize key evidence on nursing skill mix in acute care hospitals and their limitations; and identify the gaps in current literature vis-à-vis Singapore's nursing workforce.

BACKGROUND

Nursing skill mix has been theorized to be a factor influencing patient, nurse and organizational outcomes. While there is a growing body of literature explicating associations between nursing skill mix and positive outcomes, the evidence does not as yet provide firm directions in determining the best configuration. In addition, differences in nursing workforce characteristics also make it difficult to apply findings from one healthcare setting to another.

CONCLUSIONS

In reviewing key evidence from the United States of America and Canada, this paper highlights three critical gaps in the nursing skill mix literature when examined in the context of Singapore's nursing workforce. Issues related to the interface between local and foreign nurses, the impact of speciality education, and the possible effects that work roles and distribution may have on quality of care need to be further examined. This knowledge should provide a robust evidence base with which to inform national policy on skill mix and maximize nursing resources in order to achieve optimal outcomes.

Value-Added Care

OBJECTIVE

To thoroughly understand the implications of California regulatory staffing ratios on nursing units, the present study examines the relative amounts of time allocated to workload activities among registered nurses.

BACKGROUND

Nursing is a synergistic, intuitive process and may not be capable of being translated into minimum patient-to-nurse ratios that work across an entire region or state. A fundamental step in evaluating the appropriateness of prescribed ratios lies in assessing how registered nurses spend their time while caring for patients. Once workload intensity is assessed, additional factors can be identified to design mandated staffing levels for acute care settings.

METHODS

Variability in workload intensity was assessed using the Robert Woods Johnson Foundation "Transforming Care at the Bedside" work flow methodology approach in evaluating value-added care and assessing the amount of time nurses spent on direct care and other categorical activities.

RESULTS

The results revealed a marked variation in the medical-surgical unit compared with the 2 telemetry units regarding the amount of time spent by registered nurses on value-added, necessary, and non-value-added activities, as well as variability in the amount of time that registered nurses spent on direct care, indirect care, documentation, waste, and other activities.

CONCLUSION

By evaluating patient quality of care in acute care settings, we can return to a basic aspect of how nurses spend their time caring for patients-the activities that not only involve direct care but also benefit the patient.

Fourteen Unit Attributes to Guide Staffing

Given the evolving body of academic literature tying patient outcomes to specific nurse staffing variables (ratios, education, experience, etc), hospitals are increasingly challenged to balance ideal investments in care quality with current nurse labor constraints. The Nursing Executive Center conducted structured interviews with chief nurses from a cross section of the nation's leading hospitals to understand how nursing leaders are incorporating recent academic findings in workforce planning and unit-level staffing. Study findings demonstrate a clear consensus among chief nurses on which staffing enhancements hold the greatest promise for positively impacting each of 14 distinct unit attributes.

Assessing nursing staffing ratios: variability in workload intensity

In 2004, California became the first state to implement specific nurse-to-patient ratios for all hospitals. These mandated enactments have caused significant controversy among health care professionals as well as nursing unions and professional organizations. Supporters of minimum nurse-to-patient ratios cite patient care quality, safety, and outcomes, whereas critics point to the lack of solid data and the use of a universally standardized acuity tool. Much more remains to be learned about staffing policies before mature links may be made regarding set staffing ratios and patient outcomes - specifically, how nurses spend their time in terms of variability in their daily work. This study examines two comparable telemetry units with a 1:3 staffing ratio within a California hospital system to determine the relative rates of variability in nursing activities. The results demonstrate significant differences in categorical nursing activities (e.g., direct care, indirect care, etc.) between the two telemetry units (chi(2) = 91.2028; p < or = .0001). No correlation was noted between workload categories with daily staffing ratios and staffing mix between the two units. Although patients were grouped in a similar telemetry classification category and care was mandated at a set ratio, patient needs were variable, creating a significant difference in registered nurse (RN) categorical activities on the two units.

The effect of workload on infection risk in critically ill patients*

OBJECTIVE

There is growing evidence that low nurse staffing jeopardizes quality of patient care. The objective of the study was to determine whether low staffing level increases the infection risk in critical care.

DESIGN

Observational, single-center, prospective cohort study.

SETTING

Medical intensive care unit of the University of Geneva Hospitals, Switzerland.

PATIENTS

All patients admitted over a 4-yr period.

INTERVENTIONS

None.

MEASUREMENTS AND MAIN RESULTS

Study variables included all infections acquired in critical care, daily nurse-to-patient ratio, demographic characteristics, admission diagnosis and severity score, comorbidities, daily individual exposure to invasive devices, and selected drugs. Of a cohort of 1,883 patients totaling 10,637 patient-days, 415 (22%) developed at least one healthcare-associated infection while in critical care. Overall infection rate was 64.5 episodes per 1000 patient-days. Infected patients experienced higher mortality with a longer duration of stay both in critical care and in the hospital than noninfected patients (all p < .001). Median 24-hr nurse-to-patient ratio was 1.9. Controlling for exposure to central venous catheter, mechanical ventilation, urinary catheter, and antibiotics, we found that higher staffing level was associated with a >30% infection risk reduction (incidence rate ratio, 0.69; 95% confidence interval, 0.50-0.95). We estimated that 26.7% of all infections could be avoided if the nurse-to-patient ratio was maintained >2.2.

CONCLUSIONS

Staffing is a key determinant of healthcare-associated infection in critically ill patients. Assuming causality, a substantial proportion of all infections could be avoided if nurse staffing were to be maintained at a higher level.

Missed nursing care: a qualitative study

The purpose of this study was to determine nursing care regularly missed on medical-surgical units and reasons for missed care. Nine elements of regularly missed nursing care (ambulation, turning, delayed or missed feedings, patient teaching, discharge planning, emotional support, hygiene, intake and output documentation, and surveillance) and 7 themes relative to the reasons for missing this care were reported by nursing staff.

Addressing measurement error bias in nurse staffing research

OBJECTIVE

To assess the extent of measurement error bias due to methods used to allocate nursing staff to the acute care inpatient setting and to recommend estimation methods designed to overcome this bias.

DATA SOURCES/STUDY SETTING

Secondary data obtained from the California Office of Statewide Health Planning and Development (OSHPD) and the Centers for Medicare and Medicaid Services' Healthcare Cost Report Information System for 279 general acute care hospitals from 1996 to 2001.

STUDY DESIGN

California OSHPD provides detailed nurse staffing data for acute care inpatients. We estimate the measurement error and the resulting bias from applying different staffing allocation methods. Estimates of the measurement errors also allow insights into the best choices for alternate estimation strategies.

PRINCIPAL FINDINGS

The bias induced by the adjusted patient days method (and its modification) is smaller than for other methods, but the bias is still substantial: in the benchmark simple regression model, the estimated coefficient for staffing level on quality of care is expected to be one-third smaller than its true value (and the bias is larger in a multiple regression model). Instrumental variable estimation, using one staffing allocation measure as an instrument for another, addresses this bias, but only particular choices of staffing allocation measures and instruments are suitable.

CONCLUSIONS

Staffing allocation methods induce substantial attenuation bias, but there are easily implemented estimation methods that overcome this bias.

Methodological issues in nurse staffing research

The purpose of this article is to identify and describe four issues in nurse staffing research that must be addressed before the evidence base for the relationship between nurse staffing and quality of care can be said to be theoretically and empirically sufficient. The issues are the need to build well-developed theory, use valid and reliable databases, appropriate risk-adjustment systems, and address issues of causal inference in nonexperimental research.

Impact of staffing on bloodstream infections in the neonatal intensive care unit

OBJECTIVE

To examine the association between registered nurse staffing and healthcare-associated bloodstream infections in infants in the neonatal intensive care unit (NICU).

DESIGN

Prospective cohort study.

SETTING

Two level III-IV NICUs in New York, NY, from March 1, 2001, through January 31, 2003.

PARTICIPANTS

A total of 2675 infants admitted to the NICUs for more than 48 hours and all registered nurses who worked in the same NICUs during the study period. Intervention Hours of care provided by registered nurses. Main Outcome Measure Time to first episode of healthcare-associated bloodstream infection.

RESULTS

A total of 224 infants had an infection that met the study definition of healthcare-associated bloodstream infection. In a multivariate analysis, after controlling for infants' intrinsic and extrinsic risk factors, a greater number of hours of care provided by registered nurses in NICU 2 was associated with a decreased risk of bloodstream infection in these infants (hazard ratio, 0.21; 95% confidence interval, 0.06-0.79).

CONCLUSION

Our findings suggest that registered nurse staffing is associated with the risk of bloodstream infection in infants in the NICU.

Nurse staffing levels and hospital mortality in critical care settings: literature review and meta-analysis

AIM

This paper reports a review of the literature on the association between critical care nurse staffing levels and patient mortality.

BACKGROUND

Statistically significant inverse associations between levels of nurse staffing and hospital mortality have not been consistently found in the literature. Critical care settings are ideal to address this relationship due to high patient acuity and mortality, high intensity of the nursing care required, and availability of individual risk adjustment methods.

METHODS

Major electronic databases were searched, including MEDLINE, EMBASE, and the Cumulative Index of Nursing and Allied Health Literature. The search terms included critical/intensive care, quality of health care, mortality/hospital mortality, personnel staffing and scheduling, and nursing staff (hospital). Only papers published in English were included. The original search was conducted in 2002 and updated in 2005.

RESULTS

Nine studies were selected from 251 references screened. All nine were observational. Six were conducted in the United States of America, one in Austria, one in Brazil, and one in Scotland. The unadjusted risk ratio of nurse staffing (high vs. low) on hospital mortality were combined meta-analytically (five studies). The pooled estimate was 0.65 (95% confidence interval 0.47-0.91). However, after adjusting for various covariates within each study, the individually reported associations between high nurse staffing and low hospital mortality became non-significant in all but one study.

CONCLUSION

The impact of nurse staffing levels on patients' hospital mortality in critical care settings was not evident in the reviewed studies. Methodological challenges that might have impeded correct assessment of the association include measurement problems in exposure status and confounding factors, often uncontrolled. The lack of association also indicates that hospital mortality may not be sensitive enough to detect the consequences of low nurse staffing levels in critical care settings.

The impact of nurse turnover on patient, nurse, and system outcomes: a pilot study and focus for a multicenter international study

Research about the economic impact of nurse turnover has been compromised by a lack of consistent definitions and measurement. This article describes a study that was designed to refine a methodology to examine the costs associated with nurse turnover. Nursing unit managers responded to a survey that contained items relating to budgeted full-time equivalents, new hires, and turnover, as well as direct and indirect costs. The highest mean direct cost was incurred through temporary replacements, whereas the highest indirect cost was decreased initial productivity of the new hire. The study allowed the identification of the availability of data and where further refinement of data definition of variables is needed. The results provided significant evidence to justify increased emphasis on nurse retention strategies and the creation of healthy work environments for nurses.

Identifying risk factors for medical injury

OBJECTIVE

To examine multiple risk factors for medical injury using administrative data.

DESIGN

This cross-sectional study used logistic regression models to examine associations among patient characteristics such as age, sex, and insurance payer status and hospital characteristics such as ownership, teaching status and trauma level, and comorbidities and presence of a medical injury diagnosis. Data were from the Bureau of Health Information: Wisconsin hospital in-patient discharge records and hospital characteristics for the year 2001.

SETTING

All Wisconsin non-federal, acute-care hospitals.

PARTICIPANTS

A total of 556 899 patients discharged from 132 Wisconsin hospitals, excluding newborns, participated.

INTERVENTION

None. Main outcome measure. Medical injury, defined as untoward harm to a patient as a result of a medical intervention, was determined using discharge diagnosis criteria.

RESULTS

Medical injuries were found in 13.3% of 556 899 hospital discharge records. Covariates associated with increased risk of a recorded medical injury code included age 45-84 years, female sex, comorbidities, non-profit religious order ownership, proportion of cardiac intensive care in-patient days to total in-patient days, percent of board-certified medical staff, and community trauma center or regional trauma resource.

CONCLUSION

This article describes an innovative analysis of risk factors for medical injury that controlled for numerous potential confounding factors, including hospital coding characteristics. The associations we found, such as increased risk of medical injury in women, can be used to generate hypotheses for further testing through other methods and suggest intervention points for patient safety efforts.

Disparities Between Two Common Data Sources on Hospital Nurse Staffing

PURPOSE

To compare nurse staffing measures derived from two widely used data sources: the American Hospital Association (AHA) Annual Survey of Hospitals and the California Office for Statewide Health Planning and Development (OSHPD).

DESIGN

Descriptive cross-sectional study with measures of nurse staffing level and skill mix constructed from each database for 372 nonfederal, acute care hospitals in California.

METHODS

Discrepancies in nurse staffing estimates between the two databases were examined. Relationships of nurse staffing with risk-adjusted patient outcomes (decubitus ulcer, failure to rescue, and mortality) were assessed through multivariate analyses and compared for nursing measures derived from the two databases.

FINDINGS

For small, rural, or nonteaching hospitals, AHA reported substantially higher registered nurse (RN) hours per patient day than did OSHPD. RN proportion among licensed nurses matched most closely in the two databases. RN hours per patient day derived from both databases showed significant inverse relationships with decubitus ulcer and mortality, and the association was stronger for the measure based on the OSHPD data. RN proportion derived from the OSHPD data was significantly associated with all three patient outcomes, but the AHA measure had a significant relationship only with decubitus ulcer.

CONCLUSIONS

Compared with the AHA survey, the OSHPD data on hospital nurse staffing appear to be more complete and also were more closely associated with patient outcomes. Efforts to refine the AHA survey as a national database for nurse staffing will significantly enhance the capacity for monitoring nurse workforce and its effect on quality of care.

Impact of nursing overtime on nurse-sensitive patient outcomes in New York hospitals, 1995-2000

During the past several years, nurses and their advocates have expressed concern about heavy use of overtime in hospitals and claimed that it undermines the quality of nursing care. Using staffing and discharge data covering 1995 to 2000 from 161 acute general hospitals in New York State, this study uses multi variate regression to analyze the relationship between overtime and the rates of six nurse-sensitive patient outcomes and mortality. We find an association of overtime with lower rates of mortality in medical and surgical patients but do not consider these findings definitive. Because overtime use is episodic and unit specific, further study of these issues using data that examines the occurrence of adverse events by unit during periods of heavy nurse overtime is recommended.

Patient turnover and nursing staff adequacy

OBJECTIVE

To assess the relative validity of patient turnover adjustments and the difference in nurse staffing using measures that adjust for patient turnover and severity versus those that do not.

DATA SOURCES

Numbers of registered nurses (RNs), adjusted patient days of care (APDC), length of stay, and patient severity information from acute care general hospitals in Pennsylvania 1994-2001, obtained from the Pennsylvania Department of Health, the American Hospital Association, and the Atlas MediQual system.

STUDY DESIGN

After examining the trends in patient turnover and severity and their relationship to RN staffing, we apply two-patient turnover indices, with and without patient severity adjustments, to RN staffing measures, and test the difference between the original and adjusted measures using paired sample t-tests.

DATA EXTRACTION METHODS

Data sets were match merged by hospital ID, and patient turnover and severity indices were created, using 1994 as the base year. RN staffing measures were developed using unadjusted APDC, and APDC adjusted for patient turnover and both patient turnover and severity.

PRINCIPAL FINDINGS

Patient turnover increased significantly from 1994 to 2001. The difference between RN staffing measures adjusted for patient turnover and severity and those not adjusted was increasingly significant from 1995 onward. Unadjusted RN staffing showed a 1 percent decline over the 8-year-period compared with decreases of from 9 to 26 percent after adjustments.

CONCLUSIONS

These results indicate that the assessment of unadjusted RN staffing by RN to patient ratios alone underestimates nursing workload and overstates RN staffing levels. Patient turnover, as well as severity, should be taken into account in staffing assessment and decision making.

Nurse turnover: a literature review

Ongoing instability in the nursing workforce is raising questions globally about the issue of nurse turnover. A comprehensive literature review was undertaken to examine the current state of knowledge about the scope of the nurse turnover problem, definitions of turnover, factors considered to be determinants of nurse turnover, turnover costs and the impact of turnover on patient, and nurse and system outcomes. Much of the research to date has focused on turnover determinants, and recent studies have provided cost estimations at the organizational level. Further research is needed to examine the impact of turnover on health system cost, and how nurse turnover influences patient and nurse outcomes.

Comparing high- and low-performing hospitals using risk-adjusted excess mortality and cost inefficiency

This study examines characteristics associated with high- and low-performing hospitals, where performance is defined in terms of both mortality outcomes and efficiency. In particular, we use data for Florida hospitals in 1999-2001 to classify hospitals into performance groups based on both risk-adjusted excess mortality and cost efficiency. The results indicate that hospitals in the high-performing group were more likely to be for-profit, had higher occupancy rates, had proportionately more Medicare and proportionately fewer Medicaid and self-pay patients, used fewer patient-care personnel per admission, and had higher operating margins than all other hospitals. Hospitals in the low-performing group, on the other hand, were less likely to be for-profit, had more beds, used more patient-care personnel per admission, had lower pay per patient-care personnel, had higher average costs, and had lower operating margins than all other hospitals. Interestingly, managed care presence, measured by proportion of HMO-PPO admissions, was not a significant factor in differentiating hospital performance groups.

Systematic review of evidence on the impact of nursing workload and staffing on establishing healthy work environments

BACKGROUND

This systematic review set out to examine the impact, if any, of nursing workload and staffing on creating and maintaining healthy work environments. For the purposes of this review, the term 'healthy work environment' was defined as '… a practice setting that maximizes the health and well-being of nurses, quality patient outcomes and organizational performance'. This definition identifies nurse, patient and organisational outcomes as indicators of the establishment and maintenance of a healthy work environment.

OBJECTIVES

The review sought to determine the impact of: SEARCH STRATEGY: The search strategy sought to find both published and unpublished studies and papers written in the English language. A three-step search strategy approach was used. An initial limited search of MEDLINE and CINAHL databases was undertaken to identify optimal search terms followed by an analysis of the text words contained in the title and abstract, and of the index terms used to describe the article. A second extensive search using all identified keywords and index terms was then undertaken. The third step consisted of a search of the reference lists of all identified reports and articles for additional studies.

SELECTION CRITERIA

Types of studies: This review considered research papers that addressed the appropriateness and effectiveness of workload and staffing concepts in fostering a healthy work environment in healthcare. The types of papers to be considered included: meta-analysis, randomised controlled trials, quasi-randomised controlled trials, cohort studies, case-control studies, descriptive studies and correlational studies.

TYPES OF PARTICIPANTS

The review considered all participants involved or affected by workload and staffing concepts within the nursing workforce in a healthcare environment, including staff and patients. System and policy issues were also considered. Types of interventions: All workload and staffing strategies that impact on the work environment, patient and nurse outcomes were considered in this review. Types of outcome measures: Outcomes of interest were categorised into four groups: nursing staff outcomes, patient outcomes, organisational outcomes and system outcomes.

DATA COLLECTION AND ANALYSIS

Following assessment of methodological quality, data were extracted using data extraction tools based on the work of the Cochrane Collaboration and the Centre for Reviews and Dissemination. Statistical pooling was not possible and findings were presented in narrative form.

RESULTS

Of the 2162 papers identified in the search, 171 were selected for full paper retrieval and assessed independently by two reviewers for methodological quality. A total of 40 papers were included in the review: one systematic review; one cohort study; and 38 correlational descriptive studies. Results were summarised in narrative form. The evidence suggests strong correlations between patient characteristics and work environments; and workload and staffing and the quality of outcomes for clients, nurses and the system/organisation. This gave rise to a number of recommendations for practice and for further research, such as.

Staffing Effectiveness Evaluation

Staff development educators use many sources of information to conduct educational needs assessments to improve existing educational programs and to develop new ones. Staffing effectiveness evaluation information targets patient care and staffing outcomes. The overall objective of this article is to familiarize staff development educators with the staffing effectiveness evaluation process, events that have led to organizational efforts to measure it, Joint Commission on Accreditation of Healthcare Organizations' (JCAHO) expectations, methods for assessing variation and relationships of indicators, and implications for staff development educators.

Effects of New Zealand??s Health Reengineering on Nursing and Patient Outcomes

BACKGROUND

In 1993, New Zealand (NZ) implemented policies aimed at controlling costs in the country's public health care system through market competition, generic management, and managerialism. The cost control focus was similar to reengineering efforts implemented by other countries struggling with escalating health care costs, particularly the United States.

OBJECTIVE

The study's purpose was to examine the effects hospital reengineering may have on adverse patient outcomes and the nursing workforce.

RESEARCH DESIGN

The study was a retrospective, longitudinal analysis of administrative data. Relationships between adverse outcome rates and nursing workforce characteristics were examined using autoregression analysis.

SUBJECTS

All medical and surgical discharges from NZ's public hospitals (n = 3.3 million inpatient discharges) from 1989 through 2000 and survey data from the corresponding nursing workforce (n = 65,221 nurse responses) from 1993 through 2000 were examined.

MEASURES

Measures included the frequency of 11 nurse sensitive patient outcomes, average length of stay, and mortality along with the number of nursing full time equivalents (FTEs), hours worked, and skill mix.

RESULTS

After 1993, nursing FTEs and hours decreased 36% and skill mix increased 18%. Average length of stay decreased approximately 20%. Adverse clinical outcome rates increased substantially. Mortality decreased among medical patients and remained stable among surgical patients. The relationship between changes in nursing and adverse outcomes rates over time were consistently statistically significant.

CONCLUSIONS

In the chaotic environment created in NZ by reengineering policy, patient care quality declined as nursing FTEs and hours decreased. The study provides insight into the role organizational change plays in patient outcomes, the unintended consequences of health care reengineering and market approaches in health care, and nursing's unique contribution to quality of care.