A theoretical model of the determinants of mortality

The relationship between hospital adoption and use of high technology medical imaging and in-patient mortality and length of stay

PURPOSE

The purpose of this paper is to investigate the relationship between hospital adoption and use of computed tomography (CT) scanners, and magnetic resonance imaging (MRI) machines and in-patient mortality and length of stay.

DESIGN/METHODOLOGY/APPROACH

This study used panel data (2007-2010) from 124 hospital corporations operating in Ontario, Canada. Imaging use focused on medical patients accounting for 25 percent of hospital discharges. Main outcomes were in-hospital mortality rates and average length of stay. A model for each outcome-technology combination was built, and controlled for hospital structural characteristics, market factors and patient characteristics.

FINDINGS

In 2010, 36 and 59 percent of hospitals had adopted MRI machines and CT scanners, respectively. Approximately 23.5 percent of patients received CT scans and 3.5 percent received MRI scans during the study period. Adoption of these technologies was associated with reductions of up to 1.1 percent in mortality rates and up to 4.5 percent in length of stay. The imaging use-mortality relationship was non-linear and varied by technology penetration within hospitals. For CT, imaging use reduced mortality until use reached 19 percent in hospitals with one scanner and 28 percent in hospitals with 2+ scanners. For MRI, imaging use was largely associated with decreased mortality. The use of CT scanners also increased length of stay linearly regardless of technology penetration (4.6 percent for every 10 percent increase in use). Adoption and use of MRI was not associated with length of stay.

RESEARCH LIMITATIONS/IMPLICATIONS

These results suggest that there may be some unnecessary use of imaging, particularly in small hospitals where imaging is contracted out. In larger hospitals, the results highlight the need to further investigate the use of imaging beyond certain thresholds. Independent of the rate of imaging use, the results also indicate that the presence of CT and MRI devices within a hospital benefits quality and efficiency.

ORIGINALITY/VALUE

To the authors' knowledge, this study is the first to investigate the combined effect of adoption and use of medical imaging on outcomes specific to CT scanners and MRI machines in the context of hospital in-patient care.

Adoption of high technology medical imaging and hospital quality and efficiency: Towards a conceptual framework

Measuring the value of medical imaging is challenging, in part, due to the lack of conceptual frameworks underlying potential mechanisms where value may be assessed. To address this gap, this article proposes a framework that builds on the large body of literature on quality of hospital care and the classic structure-process-outcome paradigm. The framework was also informed by the literature on adoption of technological innovations and introduces 2 distinct though related aspects of imaging technology not previously addressed specifically in the literature on quality of hospital care: adoption (a structural hospital characteristic) and use (an attribute of the process of care). The framework hypothesizes a 2-part causality where adoption is proposed to be a central, linking factor between hospital structural characteristics, market factors, and hospital outcomes (ie, quality and efficiency). The first part indicates that hospital structural characteristics and market factors influence or facilitate the adoption of high technology medical imaging within an institution. The presence of this technology, in turn, is hypothesized to improve the ability of the hospital to deliver high quality and efficient care. The second part describes this ability throughout 3 main mechanisms pointing to the importance of imaging use on patients, to the presence of staff and qualified care providers, and to some elements of organizational capacity capturing an enhanced clinical environment. The framework has the potential to assist empirical investigations of the value of adoption and use of medical imaging, and to advance understanding of the mechanisms that produce quality and efficiency in hospitals.

Exploring the relationship between nursing hours per patient day and mortality rate of hospitalised patients in Taiwan

AIM

To investigate the relationship between nursing hours per patient day and the inpatient mortality rate in Taiwan.

BACKGROUND

Nursing hours per patient day has been associated with better patient outcomes. The literature is inconclusive on the relationship between nursing hours per patient day and the inpatient mortality rate, and no studies have yet examined this issue in Taiwan.

METHODS

A retrospective longitudinal study analysed data from the 'Nursing Utilization of Resources, Staffing and Environment on Outcome Study: NURSE-outcome study'. Hierarchical regression estimated the relationship between nursing hours per patient day and in-hospital mortality rate after controlling for confounding variables.

RESULTS

The mean nursing hours per patient day in Taiwan was 2.3, while the mean inpatient mortality rate was 0.73% higher nursing hours per patient day was associated with a lower inpatient mortality rate after controlling for confounding variables. The total explained variance of this study in inpatient mortality rate was 19.9%. Significant relationships to inpatient mortality were found in levels of hospitals, seasonal variation and nurses' work experience.

CONCLUSION

Nursing hours per patient day affects the mortality rate among hospitalised patients in Taiwan.

IMPLICATIONS FOR NURSING MANAGEMENT

According to the results, we suggested the government and managers in Taiwan double the nursing hours per patient day so that the inpatient mortality rate will decline by 1.1%. This might be the optimal nurse configuration that could provide a balance between cost-effectiveness and patient safety.

RN assessments of excellent quality of care and patient safety are associated with significantly lower odds of 30-day inpatient mortality: A national cross-sectional study of acute-care hospitals

BACKGROUND

Quality and safety in health care has been increasingly in focus during the past 10-15 years. Stakeholders actively discuss ways to measure safety and quality of care to improve the health care system as a whole. Defining and measuring quality and safety, however, is complicated. One underutilized resource worthy of further exploration is the use of registered nurses (RNs) as informants of overall quality of care and patient safety. However, research is still scarce or lacking regarding RN assessments of patient safety and quality of care and their relationship to objective patient outcomes.

OBJECTIVE

To investigate relationships between RN assessed quality of care and patient safety and 30-day inpatient mortality post-surgery in acute-care hospitals.

DESIGN

This is a national cross-sectional study.

DATA SOURCES

A survey (n=>10,000 RNs); hospital organizational data (n=67); hospital discharge registry data (n>200,000 surgical patients).

DATA COLLECTION AND ANALYSIS

RN data derives from a national sample of RNs working directly with inpatient care in surgical/medical wards in acute-care hospitals in Sweden in 2010. Patient data are from the same hospitals in 2009-2010. Adjusted multivariate logistic regression models were used to estimate relationships between RN assessments and 30-day inpatient mortality.

RESULTS

Patients cared for in hospitals where a high proportion of RNs reported excellent quality of care (the highest third of hospitals) had 23% lower odds of 30-day inpatient mortality compared to patients cared for in hospitals in the lowest third (OR 0.77, CI 0.65-0.91). Similarly, patients in hospitals where a high proportion of RNs reported excellent patient safety (highest third) had is 26% lower odds of death (OR 0.74, CI 0.60-0.91).

CONCLUSIONS

RN assessed excellent patient safety and quality of care are related to significant reductions in odds of 30-day inpatient mortality, suggesting that positive RN reports of quality and safety can be valid indicators of these key variables.

Early warning scoring systems versus standard observations charts for wards in South Africa: a cluster randomized controlled trial

BACKGROUND

On South African public hospital wards, observation charts do not incorporate early warning scoring (EWS) systems to inform nurses when to summon assistance. The aim of this trial was to test the impact of a new chart incorporating a modified EWS (MEWS) system and a linked training program on nurses' responses to clinical deterioration (primary outcome). Secondary outcomes were: numbers of patients with vital signs recordings in the first eight postoperative hours; number of times each vital sign was recorded; and nurses' knowledge.

METHODS/DESIGN

A pragmatic, parallel-group, cluster randomized, controlled clinical trial of intervention versus standard care was conducted in three intervention and three control adult surgical wards in an 867-bed public hospital in Cape Town, between March and July 2010; thereafter the MEWS chart was withdrawn. A total of 50 out of 122 nurses in full-time employment participated. From 1,427 case notes, 114 were selected by randomization for assessment. The MEWS chart was implemented in intervention wards. Control wards delivered standard care, without training. Case notes were reviewed two weeks after the trial's completion. Knowledge was assessed in both trial arms by blinded independent marking of written tests before and after training of nurses in intervention wards. Analyses were undertaken with IBM SPSS software on an intention-to-treat basis.

RESULTS

Patients in trial arms were similar. Introduction of the MEWS was not associated with statistically significant changes in responses to clinical deterioration (50 of 57 received no assistance versus 55 of 57, odds ratio (OR): 0.26, 95% confidence interval (CI): 0.05 to 1.31), despite improvement in nurses' knowledge in intervention wards. More patients in intervention than control wards had recordings of respiratory rate (27 of 57 versus 2 of 57, OR: 24.75, 95% CI: 5.5 to 111.3) and recordings of all seven parameters (5 of 57 versus 0 of 57 patients, risk estimate: 1.10, 95% CI: 1.01 to 1.2).

CONCLUSIONS

A MEWS chart and training program enhanced recording of respiratory rate and of all parameters, and nurses' knowledge, but not nurses' responses to patients who triggered the MEWS reporting algorithm.

TRIAL REGISTRATION

This trial was registered with the Pan African Clinical Trials Registry (identifier: PACTR201309000626545 ) on 9 September 2013.

The relationship between nurse staffing and inpatient complications

AIM

To compare characteristics of hospitalizations with and without complications and examine the impact of nurse staffing on inpatient complications across different unit types.

BACKGROUND

Studies investigating the relationship between nurse staffing and inpatient complications have not shown consistent results. Methodological limitations have been cited as the basis for this lack of uniformity. Our study was designed to address some of these limitations.

DESIGN

Retrospective longitudinal hospitalization-level study.

METHOD

Adult hospitalizations to high intensity, general medical and general surgical units at three metropolitan tertiary hospitals were included. Data were sourced from Western Australian Department of Health administrative data collections from 2004-2008. We estimated the impact of nurse staffing on inpatient complications adjusted for patient and hospital characteristics and accounted for patients with multiple hospitalizations.

RESULTS

The study included 256,984 hospitalizations across 58 inpatient units. Hospitalizations with complications had significantly different demographic characteristics compared with those without. The direction of the association between nurse staffing and inpatient complications was not consistent for different inpatient complications, nurse skill mix groups or for hospitalizations with different unit movement patterns.

CONCLUSION

Our study design addressed limitations noted in the field, but our results did not support the widely held assumption that improved nurse staffing levels are associated with decreased patient complication rates. Despite a strong international focus on improving nurse staffing to reduce inpatient complications, our results suggest that adding more nurses is not a panacea for reducing inpatient complications to zero.

Record review to explore the adequacy of post-operative vital signs monitoring using a local modified early warning score (mews) chart to evaluate outcomes

Objectives

1) To explore the adequacy of: vital signs’ recordings (respiratory and heart rate, oxygen saturation, systolic blood pressure (BP), temperature, level of consciousness and urine output) in the first 8 post-operative hours; responses to clinical deterioration. 2) To identify factors associated with death on the ward between transfer from the theatre recovery suite and the seventh day after operation.

Design

Retrospective review of records of 11 patients who died plus four controls for each case.

Participants

We reviewed clinical records of 55 patients who met inclusion criteria (general anaesthetic, age >13, complete records) from six surgical wards in a teaching hospital between 1 May and 31 July 2009.

Methods

In the absence of guidelines for routine post-operative vital signs’ monitoring, nurses’ standard practice graphical plots of recordings were recoded into MEWS formats (0 = normal, 1–3 upper or lower limit) and their responses to clinical deterioration were interpreted using MEWS reporting algorithms.

Results

No patients’ records contained recordings for all seven parameters displayed on the MEWS. There was no evidence of response to: 22/36 (61.1%) abnormal vital signs for patients who died that would have triggered an escalated MEWS reporting algorithm; 81/87 (93.1%) for controls. Death was associated with age, ≥61 years (OR 14.2, 3.0–68.0); ≥2 pre-existing co-morbidities (OR 75.3, 3.7–1527.4); high/low systolic BP on admission (OR 7.2, 1.5–34.2); tachycardia (≥111–129 bpm) (OR 6.6, 1.4–30.0) and low systolic BP (≤81–100 mmHg), as defined by the MEWS (OR 8.0, 1.9–33.1).

Conclusions

Guidelines for post-operative vital signs’ monitoring and reporting need to be established. The MEWS provides a useful scoring system for interpreting clinical deterioration and guiding intervention. Exploration of the ability of the Cape Town MEWS chart plus reporting algorithm to expedite recognition of signs of clinical and physiological deterioration and securing more skilled assistance is essential.

Moral distress and avoidance behavior in nurses working in critical care and noncritical care units

Nurses facing impediments to what they perceive as moral practice may experience moral distress. The purpose of this descriptive, cross-sectional study was to determine similarities and differences in moral distress and avoidance behavior between critical care nurses and non-critical care nurses. Sixty-eight critical care and 28 non-critical care nurses completed the Moral Distress Scale and Impact of Event Scale (IES). There were no differences in moral distress scores (F = 0.892, p = 0.347) or impact of event scores (F = 3.80, p = 0.054) between groups after adjusting for age. There was a small positive correlation between moral distress and avoidance behaviors for both the groups. Moral distress is present in both critical care and noncritical care nurses. It is important that nurses are provided with opportunities to cope with this distress and that retention strategies include ways to reduce suffering and mitigate the effects on professional practice.

Impact of hospital nursing care on 30-day mortality for acute medical patients

AIM

This paper reports on structures and processes of hospital care influencing 30-day mortality for acute medical patients.

BACKGROUND

Wide variation in risk-adjusted 30-day hospital mortality rates for acute medical patients indicates that hospital structures and processes of care affect patient death. Because nurses provide the majority of care to hospitalized patients, we propose that structures and processes of nursing care have an impact on patient death or survival.

METHOD

A model hypothesizing the impact of nursing-related hospital care structures and processes on 30-day mortality was tested. Patient data from the Ontario, Canada Discharge Abstract Database 2002-2003, nurse data from the Ontario Nurse Survey 2003, and hospital staffing data from the Ontario Hospital Reporting System 2002-2003 files were used to develop indicators for variables hypothesized to impact 30-day mortality. Two multiple regression models were implemented to test the model. First, all variables were forced to enter the model simultaneously. Second, backward regression was implemented.

FINDINGS

Using backward regression, 45% of variance in risk-adjusted 30-day mortality rates was explained by eight predictors. Lower 30-day mortality rates were associated with hospitals that had a higher percentage of Registered Nurse staff, a higher percentage of baccalaureate-prepared nurses, a lower dose or amount of all categories of nursing staff per weighted patient case, higher nurse-reported adequacy of staffing and resources, higher use of care maps or protocols to guide patient care, higher nurse-reported care quality, lower nurse-reported adequacy of manager ability and support, and higher nurse burnout.

CONCLUSION

Just as hospitals and clinicians caring for patients focus carefully on completing accurate diagnosis and appropriate and effective interventions, so too should hospitals carefully plan and manage structures and processes of care such as the proportion of Registered Nurses in the staff mix, percentage of baccalaureate-prepared nurses, and routine use of care maps to minimize unnecessary patient death.