The connection between personnel resources with work loading and patient satisfaction on in-patient wards

Aim  The aim of the study is to describe the connection between the burden of nurses' work experience and patient dissatisfaction using electronic indicators available in databases.
Background  The hospitals in this study have a lot of information stored in electronic databases, but the data is stored in different databases and there are no straight connections between them.
Methods  This study was retrospective. Inpatient rates, workload statistics, patient classification, patient satisfaction and financial statistics were collected on 39 hospital wards from electronic databases. The data were analysed statistically.
Results  The results showed that the higher care intensity index and number of gross treatment days are, the greater was the burden on nurses. The burden was smaller on those wards using a named nurse system.
Conclusions  Nurses' workload varies according to the condition of patients and patient flow. There is a connection between high workload and patient dissatisfaction. Nurse Managers should easily be able to use significant indicators.
Implications for nursing management  Nursing management must have tools that are easy to use in every day workload measurement, burden adjustment and personnel planning in the long run. This article presents patient classification and the number of beds used including daily change percentage of wards as instruments for nursing management.     

Impact of nurse staffing on intent to leave,job satisfaction,and occupational injuries in Korean hospitals: A cross‐sectional study

The purpose of this study was to examine nurse staffing in comprehensive nursing care units in Korea and examine the corresponding nurse outcomes, including intent to leave, job satisfaction, and occupational injuries. A total of 356 nurses working in comprehensive nursing care units at eight small‐medium sized Korean hospitals participated in this cross‐sectional study. In the day, evening, and night shifts, nurse staffing ranged from 9.00 to 24.82, 9.04 to 24.26, and 9.02 to 25.80, respectively. The nurse staffing on each shift did not have a significant impact on nurses? intent to leave, job satisfaction, and occupational injuries. However, workload had a strong relationship with intent to leave and job satisfaction. Voluntary overtime was related to occupational injuries. These findings demonstrate that workload is an important factor for intent to leave and job satisfaction among nurses working in comprehensive nursing care units. Improvements of the work environment, as well as rearrangement of nurse workload to account for patient acuity and nursing needs, are required for the future expansion of comprehensive nursing care services.     

Benchmarking nurse staffing levels: the development of a nationwide feedback tool

Title. Benchmarking nurse staffing levels: the development of a nationwide feedback tool. Aim. This paper is a report of a study to develop a methodology that corrects nurse staffing for nursing care intensity in a way that allows nationwide benchmarking of nurse staffing data. Background. Although nurse workload measurement systems are recognized to be informative in nurse staffing decisions, they are rarely used. When these systems are used, however, it is only possible to compare units within hospitals, because currently available instruments are not standardized for comparisons beyond hospital boundaries. The Belgian Nursing Minimum Dataset (B‐NMDS) contains uniformly measured data about the intensity of nursing care and nurse staffing levels for all hospitals in Belgium. Method. We conducted a retrospective multilevel analysis of the B‐NMDS for the year 2003. The sample included 690,258 inpatient days for 298,691 patients, recorded from 1637 acute care nursing units in 115 hospitals. We corrected the number of nursing staff by using different covariates available in the B‐NMDS: intensity of nursing care, type of day (week vs. weekend), service type (general vs. intensive) and hospital type (academic vs. general). Findings. The multilevel approach allowed us to explain about 70% of the variability in the number of nursing staff per nursing unit using hospital type (P = 0·0053); intensity of nursing care (P < 0·0001) and service type (P < 0·0001) as the only covariates. Conclusion. The feedback tool we developed can inform nurse managers and policymakers about nursing intensity‐adjusted nurse staffing levels according to different benchmarks. Our study demonstrates that investing in large nursing datasets is appropriate for the international nursing community.     

Work sampling: a quantitative analysis of nursing activity in a neuro-rehabilitation setting

Title.  Work sampling: a quantitative analysis of nursing activity in a neuro-rehabilitation setting.
Aim.  The aim of this investigation was to establish the distribution and proportion of nursing activity represented by patient-related care activities (direct and indirect), and other nursing activities (unit-related and personal) within one inpatient neurological rehabilitation unit.
Background.  A set of tools has been developed for estimating the care/nursing hours required for direct hands-on patient care in hospital rehabilitation settings. However, to apply this information to estimate the actual staffing requirements in relation to a given caseload, it is necessary to know the proportion of nursing workload assigned to other activities and how this may vary throughout the day.
Method.  A work sampling study was conducted during 2004. A snapshot of nursing activity was recorded at 5-minute intervals from 06·00 to 23·55 spread over 2 weeks, with one session from 06·00 to 15·25 and the second from 15·30 to 23·55.
Results.  A total of 8883 nursing activities were observed and recorded over 126 hours and categorized as follows: 4060 (46%) direct patient care, 2218 (25%) indirect patient care, 874 (10%) unit-related and 1731 (19%) personal time. The proportions of direct care fluctuated throughout the day, with direct care activities mainly concentrated in early mornings and to a lesser extent evenings.
Conclusion.  Direct patient care accounted for less than half of the nursing activity in a rehabilitation setting. Estimates of staffing requirement must also take account of the time required for indirect care and non-patient related activity.     

Comparison of nurse workload approaches

beswick s. , hill p.d. & anderson m.a. (2010) Journal of Nursing Management 18, 592–598
Comparison of nurse workload approaches Background For hospitals in the United States, the number of patients who lie in beds at midnight is considered to be the standard indicator of nursing workload; relatively little attention is given to the total number of patients cared for in a 24-hour day. Staffing decisions are related to cost of care. Such decisions are made on a per-shift basis, calculating hours per patient day (HPPD) based upon midnight census provides little decision-making support about variable staffing needs over a 24-hour period. The discrepancy between nurse managers’ staffing based on real-time patient needs and financial analysts looking only at units of service captured at midnight clearly speaks to the need for a new metric of measurement. Objective To describe the variations in nursing workload across two medical units using a comparison of intra-day census recommendations for staffing and those projected based on the midnight census alone. Methods Data were retrieved from a primary data set that included: (1) the number of patients lying in beds at four different times during a 24-hour period: 06.00, 14.00, 22.00 hours and at midnight; (2) projected nursing hours needed based on the numbers of patients lying in beds at different times during the 24-hour period; and (3) the number of projected nursing hours needed for the numbers of patients lying in bed and those who were admitted and discharged in an 8-hour period of time. Results Statistically significant increases in 06.00 hour patient counts were found with statistically lower patient counts at both 14.00 and 22.00 hours compared with the midnight census alone. Nursing hour projections per day did not show any significance when projected based on intra day vs. midnight census alone. Statistically significant increases in nursing hour projections were seen on all three shifts when admissions and discharges and the nursing workload associated with those procedures were calculated. Conclusions Findings suggest that the midnight census alone may well not be the most precise measure to predict nursing workload or to cost out nursing care. To accurately capture the realities of a 24-hour nursing workload, the nursing work associated with patient admissions and discharges has to be a part of the equation. Implications for nursing management The tradition of using the midnight census to budget 24 hours of nursing services in the hospital setting does not capture the totality of nursing workload. A model that costs out direct nursing care in the hospital and ultimately bills separately for that care is needed to reflect the realities of hospital nursing workload.     

Determination of standard times of nursing activities based on a Nursing Minimum Dataset

Title.  Determination of standard times of nursing activities based on a NursingMinimum Dataset.
Aim.  This paper is a report of a study conducted to determine the standard time per nursing activity and the proportion of nursing time covered by the nursing activities of the Belgian Nursing Minimum Dataset compared to the total time of a nurse shift, and to evaluate the correlation between hospital size and standard times of nursing activities.
Background.  Because of a shrinking workforce and rising workload, nursing managers need tools that help them to allocate their staff to the wards. Such tools should be based on objective time measurements.
Methods.  The study was performed in surgical, internal medicine and elder care wards in an acute hospital care setting. In the first phase, a two-round Delphi-procedure was used to operationalize the definitions of nursing activities. In the second phase, the standard time for each nursing activity was determined, based on data collected over a 6-month period during 2006–2007. A combination of 13,292 work sampling observations by external observers, 3000 recordings of direct time measurement by self-recording and subjective time assessments yielded times that were used to analyse the duration of the nursing activities.
Results.  A standard time for 102 nursing activities was established. The coverage of the Belgian Nursing Minimum Dataset in the surgical, internal medicine and elder care wards was 47·5%, 46·4% and 51·0% respectively. The Belgian Nursing Minimum Dataset was found to cover almost 70% of direct and indirect nursing care.
Conclusion.  Further research is needed to assess the impact on the standard times of nursing activities of inefficient organizational structures and different cultural interpretations of the way an activity is conducted.     

Commentary: Numata Y, Schultzer M, et al. (2006). Nurse staffing levels and hospital mortality in critical care settings: literature review and meta-analysis

This paper reports a review of the literature on the association between critical care nurse staffing levels and patient mortality. 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. 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. Nine studies were selected from 251 references screened. All nine were observational. Six were conducted in the USA, one in Austria, one in Brazil, and one in Scotland. The unadjusted risk ratio of nurse staffing (high versus 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. 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. Abstract reprinted from the Journal of Advanced Nursing volume 55, Numata Y et al., 'Nurse staffing levels and hospital mortality in critical care settings: literature review and meta-analysis.', pages 435-448. (c) 2006, with permission from Blackwell Publishing Ltd.     

Determining Critical Incident Nursing Interventions for the Critical Care Setting: A Pilot Study

PURPOSE.  The purpose of this research survey was to determine which Adult Critical Care Core Nursing Interventions (ACCCNIs) in the Nursing Interventions Classification constitutes a critical incident nursing intervention (CINI). A CINI is defined as any indirect or direct care registered nurse (RN)-initiated treatment performed in response to a life-threatening nursing diagnosis.
METHODS.  A list of ACCCNIs were sent to 50 critical care RNs in two survey rounds. Responses >80% for each ACCCNI was determined to be a CINI.
FINDINGS.  Forty-one ACCCNIs were determined to be CINIs.
CONCLUSIONS.  It is recommended that CINIs be included as a separate Nursing Intervention Classification category to reflect current nursing practice.
IMPLICATIONS FOR NURSING PRACTICE.  CINIs can enhance RN competency, education, and vigilance, thereby preventing or decreasing the number of deaths that occur from critical incidents.     

A nursing care classification system for assessing workload and determining optimal nurse staffing in a teaching hospital in China: A pre‐post intervention study

We aimed to evaluate the effectiveness of a nursing care classification system for re‐assessing nurse workload and determining staffing needs. Adequate bed–nurse ratios help manage hospital cost‐efficiency, quality of care and patient safety. A prospective pre‐post intervention study was conducted from January 2010 to December 2012 in 16 medical‐surgical units of a tertiary teaching hospital. Nursing tasks were classified into four grades of care reflecting actual workload. Units were re‐staffed accordingly and bed–nurse ratios compared with government‐authorized bed–nurse ratios. Patient satisfaction, hospital stays and mortality were evaluated pre‐ and poststaffing changes. Average bed–nurse ratio (1:0.41) exceeded the national standard (1:0.40) in 16 units, but was inadequate in five units. Re‐staffing increased average bed–nurse ratio from 1:0.41 to 1:0.48. Patients' satisfaction increased from 96.9% to 97.6%, and hospital stays decreased significantly. Nursing care classification effectively distributes nurse staffing to match patients' care levels, improving patient outcomes.     

Decision making for nurse staffing: Canadian perspectives

The effectiveness of methods for determining nurse staffing is unknown. Despite a great deal of interest in Canada, efforts conducted to date indicate that there is a lack of consensus on nurse staffing decision-making processes. This study explored nurse staffing decision-making processes, supports in place for nurses, nursing workload being experienced, and perceptions of nursing care and outcomes in Canada. Substantial information was provided from participants about the nurse staffing decision-making methods currently employed in Canada including frameworks for nurse staffing, nurse-to-patient ratios, workload measurement systems, and "gut" instinct. A number of key themes emerged from the study that can form the basis for policy and practice changes related to determining appropriate workload for nursing in Canada. These include the use of (a) staffing principles and frameworks, (b) nursing workload measurement systems, (c) nurse-to-patient ratios, and (d) the need for uptake of evidence related to nurse staffing.     

Retention Priorities for the Intergenerational Nurse Workforce

TOPIC.  Retention of senior, Gen-X, and Millennial nurses is influenced by manager interactions and efforts to create a satisfying work experience.
PURPOSE.  The purpose of this project was a generational assessment of job satisfaction, work environment, and desired characteristics of managers in an effort to improve nurse retention.
SAMPLE AND METHODS.  Data from staff nurses at 22 southern hospitals collected by online survey included measures of job satisfaction and perceptions of safety, the Nurse Manager Desired Traits survey, and the Nursing Work Index-Revised.
FINDINGS.  The satisfaction with work environment scores for the whole group ( n =  1,773) were high. Subscale scores showed highest satisfaction with nurse/physician relationships; lowest was nurse control of practice. A specific satisfaction question showed the younger nurses were less satisfied than those over age 40. Nurse safety concerns were expressed by 40% of the sample. One third of Millennial nurses plan to leave their job within the next 2 years. Over two thirds plan to be gone within the next 5 years. Especially alarming is the fact that 61% of the nurse group stated they plan to leave their current jobs within 10 years.
RECOMMENDATIONS.  (a) Create model managers; (b) empower staff nurse councils; (c) stabilize staffing; (d) revamp incentives; and (e) focus on safety.     

Nurse dose: validation and refinement of a concept

In this article, we report the results of two studies aimed at validating the concept of nurse dose. The first study examined the relevance of the critical attributes and empirical indicators in accurately reflecting the concept of nurse dose. Ten experts in staffing research rated the relevance of the attributes and indicators. The second study explored the factorial structure of the nurse dose concept. Data on the nurse dose indicators were obtained from 26 inpatient units. The operationalization of nurse dose was refined based on the two studies' results. Nurse dose is posited as a structural variable capturing nurses' capacity to deliver high quality care in acute care hospitals. It is defined as the level (i.e., number and type) of nursing staff required to provide care that produces intended patient outcomes. Nurse dose is reflected in two attributes: (1) active ingredients representing the essential elements that distinguish nurses from other health care professionals and operationalized in nurses' theoretical and practical knowledge, and skill mix; and (2) intensity representing the potential for nurse-patient interactions and operationalized in terms of amount (indicated by full-time equivalent) and frequency (indicated by nurse-patient ratio and hours per patient day). The concept of nurse dose has the potential for guiding future staffing research.     

Validation of a tool to measure neonatal nursing workload

Aims  To test the validity and reliability of the Winnipeg Assessment of Neonatal Nursing Needs Tool (WANNNT).
Background  Workforce planning is increasingly challenging. Existing tools can be inadequate.
Methods  Nurses provided estimates of patient care time. Charge nurses assessed overall safety of care. Patient levels were compared between two independent assessors. Total nursing needs was compared between the WANNNT and an independent charge nurse.
Results  Mean time estimates for levels 1–5 were not significantly different from the WANNNT. Nurses estimated 50% less time than the tool assigned level 6. The tool was 95% reliable in assigning patient levels between two assessors. The mean difference between the total WANNNT assessment and the charge nurse was one nurse.
Conclusions  The tool provided a reasonable and reliable estimation of the number of nurses required for a given collection of patients in order to provide the highest quality of care.
Implications for nursing management  Nurse managers incorporating this tool need to determine the additional drivers for nursing time that must be considered which may be unique to their unit or hospital. The WANNNT will be a valuable asset for making staffing decisions on a shift to shift and long-term basis.     

Estimating nurses' workload using the Diagnosis Procedure Combination in Japan

Aim:  To examine the methods used to estimate nurse staffing levels in acute care settings with Diagnosis Related Groups, which in Japan are called the Diagnosis Procedure Combination (DPC).
Methods:  For estimating staffing requirements, the study used four DPC groups: (1) acute or recurrent myocardial infarction (AMI) with stenting, (2) angina pectoris with coronary artery bypass grafting (CABG), (3) sub-arachnoid haemorrhage (SAH) with clipping surgery, and (4) cerebral infarction with carotid endarterectomy (CEA). Registered nurses with more than 3-year nursing experience in nine university hospitals in the Tokyo metropolitan area completed self-report questionnaires in order to obtain nursing care time and care intensity per each DPC. The concordance rate was measured by Kendall's coefficient of concordance. The relationship between the care time and the care intensity was examined by a time series graph per DPC. Care intensity consisted of professional judgement, mental effort for helping patients, professional skill, physical effort for providing activities of daily living support, and nurse stress, based on the Hsiao and colleagues' model of resource-based relative value scale.
Results:  Twenty-five nurses in nine university hospitals answered for a hypothetical typical patient with AMI and with CABG, and 28 nurses in nine university hospitals answered for a hypothetical typical patient with SAH and with CEA. Kendall's coefficient of concordance was 0.896 for AMI, 0.855 for CABG, 0.848 for SAH, 0.854 for CEA. The time series data of the care time and the care intensity items showed different patterns for each DPC.
Conclusion:  The DPC for cardiovascular and cerebral surgical procedures can be used for estimating nurses' workload.     

住院患者基础护理服务工时测定

目的:定量了解住院患者的基础护理需求,为合理评估护理工作量、配置护理人员提供参考。方法:采用工时测定法对住院患者所需的基础护理服务项目进行测量,收集并计算单项护理操作的平均时间和不同护理级别患者每日所需基础护理平均时间。结果:实施责任制整体护理会增加临床护士的工作量,不同护理级别的患者所需基础护理服务量明显不同。结论:医疗机构应合理配置护理人员,以满足患者需求,保证护理服务质量。     

Hospital nursing organizational factors,nursing care left undone,and nurse burnout as predictors of patient safety: A structural equation modeling analysis

BackgroundPromotion of patient safety is among the most important goals and challenges of healthcare systems worldwide in countries including China. Donabedian’s Structure-Process-Outcome model implies that patient safety is affected by hospital nursing organizational factors and nursing care process. However, studies are imperative for a clear understanding about the mechanisms by which patient safety is affected to guide practice.ObjectiveThe objective of this study was to explore the impact of hospital nursing work environment, workload, nursing care left undone, and nurse burnout on patient safety.DesignThis was a cross-sectional study conducted in 23 hospitals in Guangdong province, China in 2014. Data from nurses (n = 1542) responsible for direct care on 111 randomly sampled medical and surgical units were analyzed.MethodsWork environment was measured by the Practice Environment Scale of Nursing Work Index. Workload was measured by day shift unit patient-nurse ratio and non-professional tasks conducted by nurses. Nursing care left undone was measured by 12 items addressing necessary nursing activities. Nurse burnout was measured by the emotional exhaustion subscale of the Maslach Burnout Inventory-Human Services Survey. Patient safety was measured by three items indicating nurses’ perception of overall patient safety and nine items addressing patient adverse events. Structural equation modeling was used to examine a hypothesized model that supposed work environment and workload have both direct and indirect effects on patient safety through nursing care left undone and nurse burnout.ResultsThe findings generally supported the hypothesized model. Better work environment was associated with better patient safety both directly and indirectly. Lower workload primarily indirectly related to better patient safety. Nursing care left undone and nurse burnout were mediators negatively associated with patient safety.ConclusionsImproving work environment, increasing nurse staffing levels, and providing sufficient support for nurses to spend more time on direct patient care would be beneficial to patient safety improvement.     

Staff-family relationships in nursing home care: a typology of challenging behaviours

Aim.  This paper draws on data from a study which investigated how Australian nursing home staff constructed staff–family relationships.
Background.  Working with the family in aged care to provide the best care possible is consistent with modern nursing philosophy which espouses holistic care. The quality and enjoyment of the experience however, is frequently fraught with problems and challenges for both the staff and the family involved.
Design.  A qualitative constructivist design as described by Guba and Lincoln [ Fourth Generation Evaluation . Sage Publications, London.] was used.
Method.  Thirty paid caregivers drawn from eight nursing homes were interviewed about their experiences of working with residents' families. A constant comparative method of data analysis was used to arrive at the findings.
Results.  This paper reports on seven themes under the category of 'unacceptable behaviours'. These themes describe a range of attitudes and behaviours exhibited by families which staff members found undesirable.
Conclusions.  Staff members found a number of family behaviours challenging. Nursing home staff perceives the family as subordinate to their needs and want to retain control of the work environment.
Relevance to clinical practice.  Nursing home staff need to move away from custodial models of care focused on 'getting the work done' and develop more family friendly work practices that are inclusive of the needs of the family and view them as equal partners in care.     

The relationship between nursing leadership and nurses' job satisfaction in Canadian oncology work environments

Background  Current Canadian oncology work environments are challenged by the same workforce statistics as other nursing specialties: nurses are among the most overworked, stressed and sick workers, and more than 8% of the nursing workforce is absent each week due to illness.
Aim  To develop and estimate a theoretical model of work environment factors affecting oncology nurses' job satisfaction.
Methods  The sample consisted of 515 registered nurses working in oncology settings across Canada. The theoretical model was tested as a structural equation model using LISREL 8.54.
Results  The final model fitted the data acceptably ( χ ² = 58.0, d.f. = 44, P  =   0.08). Relational leadership and physician/nurse relationships significantly influenced opportunities for staff development, RN staffing adequacy, nurse autonomy, participation in policy decisions, support for innovative ideas and supervisor support in managing conflict, which in turn increased nurses' job satisfaction.
Conclusions  These findings suggest that relational leadership and positive relationships among nurses, managers and physicians play an important role in quality oncology nursing environments and nurses' job satisfaction.
Implications for nursing management  Oncology nursing work environments can be improved by focusing on modifiable factors such as leadership, staff development and staffing resources, leading to better job satisfaction and hopefully retention of nurses.     

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.