Modeling efficiency at the process level: an examination of the care planning process in nursing homes

A Novel Hybrid Parametric and Non-Parametric Optimisation Model for Average Technical Efficiency Assessment in Public Hospitals during and Post-COVID-19 Pandemic

The COVID-19 pandemic has had a significant impact on hospitals and healthcare systems around the world. The cost of business disruption combined with lingering COVID-19 costs has placed many public hospitals on a course to insolvency. To quickly return to financial stability, hospitals should implement efficiency measure. An average technical efficiency (ATE) model made up of data envelopment analysis (DEA) and stochastic frontier analysis (SFA) for assessing efficiency in public hospitals during and after the COVID-19 pandemic is offered. The DEA method is a non-parametric method that requires no information other than the input and output quantities. SFA is a parametric method that considers stochastic noise in data and allows statistical testing of hypotheses about production structure and degree of inefficiency. The rationale for using these two competing approaches is to balance each method's strengths, weaknesses and introduce a novel integrated approach. To show the applicability and efficacy of the proposed hybrid VRS-CRS-SFA (VCS) model, a case study is presented.

Quality of care plans in long-term care facilities for the older persons-How well is information from RAI assessments utilised in care planning?

BACKGROUND

In Finland, care plans at long-term care facilities (LTCF) for the older persons should be based on information from Resident Assessment Instrument (RAI) assessments and the principles of structured data. Hence, managers are responsible for ensuring that the RAI system is used to a satisfactory extent, the provided information is used in care planning, and that staff members are competent at composing high-quality care plans.

AIM

To explore the congruence between first-line managers' assessments of the extent to which care plans include RAI information and separately observed RAI-related contents of care plans.

METHODS

The study was based on a descriptive, cross-sectional survey of first-line managers (n = 15) from three LTCF organisations and a randomly selected sample of care plans (n = 45) from two LTCF organisations in Finland. Manager responses and analysis of care plans were reviewed at a general level. The data were gathered in 2019 and analysed using statistical methods and content analysis.

RESULTS

First-line managers' assessments of the extent to which their units' care plans included RAI information did not match the observed care plan contents. The care plan analysis revealed that managers significantly overestimated the extent to which care plans included RAI-related content.

CONCLUSION

Managers at LTCF organisations need more training to be able to sufficiently support their staff in using RAI information to draft high-quality care plans.

IMPLICATION FOR PRACTICE

Care plans must include a higher level of information related to RAI assessments. To develop competencies in drafting high-quality care plans, training related to RAI information utilisation on all aspects of the care plan should be emphasised and training should be provided to first-line managers and more broadly across the nursing staff.

Evaluating the technical efficiency of care among long-term care facilities in Xiamen, China: based on data envelopment analysis and Tobit model

Background

The technical efficiency (TE) of care among the elderly in long-term care facilities (LTCF) have become increasingly crucial policy concerns faced by developing countries and Asia, especially China. The purpose of this study was to evaluate the TE and the quality of care and identify its influencing factors among LTCF.

Methods

A total of 32 registered LTCF in Xiamen of China were surveyed in 2016. The Banker-Charnes-Cooper (BCC) model and Slacks-Based Measure (SBM) model of Data Envelopment Analysis (DEA) were used to evaluate the TE of LTCF. The TE has been decomposed into pure technical efficiency and scale efficiency. Utilization of DEA with human, financial, and material resources as inputs and quantity, quality of nursing care as outputs allowed estimation of the relative TE of care in LTCF. In addition, this study applied SBM to measuring the efficiencies and slacks. Furthermore, Tobit model was performed to explore factors associated with TE.

Results

There were 7 public and 25 private LTCF respectively, with a total of 6729 beds and 3154 elderly people. 17 LTCF were technically efficient (53.1%). In the BCC model, the average TE was 0.963. The average pure technical efficiency and scale efficiency of LTCF were 0.979, 0.984, respectively. There were 5 LTCF with increasing returns to scale, 8 LTCF with decreasing returns to scale. In the SBM model, the average TE was 0.813, and it had the same effective decision-making unit with SBM model. Depending on TE score from high to low, the top eight are private LTCF, and the last four were public LTCF. The slack analysis showed that they can be reduced in 8 LTCF with decreasing returns to scale such as 53.31% administrative staffs, 67.73% medical staffs, 33.1% caregivers, 51.66% paramedical staffs and 4.1% beds on average. The TE of private LTCF was higher than that of public LTCF. The LTCF in urban were more effective than rural. The TE of LTCF raised by increasing of working hours, training frequency and institutional occupancy.

Conclusions

The overall TE of LTCF in Xiamen of China was relatively high, especially in private institutions. However, LTCF still needs to further improve the utilization of physical resources and the management and training of human resources. The TE of LTCF was associated to their location, institutional nature, allocation of human resources and occupancy rate. It was needed to focus on promoting the efficiency and quality of LTCF in order to achieve sustainability.

Electronic supplementary material

The online version of this article (10.1186/s12889-019-7571-x) contains supplementary material, which is available to authorized users.

Productivity growth and quality changes of hospitals in Taiwan: does ownership matter?

As the competition in the Taiwanese medical industry becomes increasingly fierce, public hospitals are confronted with challenges in orientation and operations. This study measured changes in the operational efficiency of public and their competitors, non-public hospitals, in Taiwan. This study considered differences in technology and scale between public and non-public hospitals and adopted the quality-incorporating metafrontier Malmquist productivity index to analyze inputs, outputs, and quality achievements of hospitals. The data consisted of 40 public hospitals and 79 non-public hospitals in Taiwan during the period 2008-2014. This study measured productivity growth and quality changes. Moreover, it further identified technological gaps and quality gaps in different types of hospitals with respect to the metafrontier. At the same time, comparisons of changes in quality between public and non-public hospitals were also examined. The empirical results showed that public hospitals were better than non-public ones in terms of productivity. Meanwhile, it was also found that most of the decomposition in productivity was higher in public hospitals than in non-public ones, especially in terms of improvements in technology and quality. This paper presented public hospitals outperformed non-public ones during the research period in spite of the fact that private hospitals had become larger and group-oriented. Therefore, public hospitals and regulators made appropriate adjustments and responses in the face of the pressure of competition in the market.

Technical-efficiency analysis of end-of-life care in long-term care facilities within Europe: A cross-sectional study of deceased residents in 6 EU countries (PACE)

Background

An ageing population in the EU leads to a higher need of long-term institutional care at the end of life. At the same time, healthcare costs rise while resources remain limited. Consequently, an urgency to extend our knowledge on factors affecting efficiency of long-term care facilities (LTCFs) arises. This study aims to investigate and explain variation in technical efficiency of end-of-life care within and between LTCFs of six EU countries: Belgium (Flanders), England, Finland, Italy, the Netherlands and Poland. In this study, technical efficiency reflects the LTCFs’ ability to obtain maximal quality of life (QoL) and quality of dying (QoD) for residents from a given set of resource inputs (personnel and capacity).

Methods

Cross-sectional data were collected by means of questionnaires on deceased residents identified by LTCFs over a three-month period. An output-oriented data-envelopment analysis (DEA) was performed, producing efficiency scores, incorporating personnel and capacity as input and QoL and QoD as output. Scenario analysis was conducted. Regression analysis was performed on explanatory (country, LTCF type, ownership, availability of palliative care and opioids) and case mix (disease severity) variables.

Results

133 LTCFs of only one type (onsite nurses and offsite GPs) were considered in order to reduce heterogeneity. Variation in LTCF efficiency was found across as well as within countries. This variation was not explained by country, ownership, availability of palliative care or opioids. However, in the ‘hands-on care at the bedside’ scenario, i.e. only taking into account nursing and care assistants as input, Poland (p = 0.00) and Finland (p = 0.04) seemed to be most efficient.

Conclusions

Efficiency of LTCFs differed extensively across as well as within countries, indicating room for considerable efficiency improvement. Our findings should be interpreted cautiously, as comprehensive comparative EU-wide research is challenging as it is influenced by many factors.

Financial performance, employee well-being, and client well-being in for-profit and not-for-profit nursing homes: A systematic review

BACKGROUND

Expanding the opportunities for for-profit nursing home care is a central theme in the debate on the sustainable organization of the growing nursing home sector in Western countries.

PURPOSES

We conducted a systematic review of the literature over the last 10 years in order to determine the broad impact of nursing home ownership in the United States. Our review has two main goals: (a) to find out which topics have been studied with regard to financial performance, employee well-being, and client well-being in relation to nursing home ownership and (b) to assess the conclusions related to these topics. The review results in two propositions on the interactions between financial performance, employee well-being, and client well-being as they relate to nursing home ownership.

METHODOLOGY/APPROACH

Five search strategies plus inclusion and quality assessment criteria were applied to identify and select eligible studies. As a result, 50 studies were included in the review. Relevant findings were categorized as related to financial performance (profit margins, efficiency), employee well-being (staffing levels, turnover rates, job satisfaction, job benefits), or client well-being (care quality, hospitalization rates, lawsuits/complaints) and then analyzed based on common characteristics.

FINDINGS

For-profit nursing homes tend to have better financial performance, but worse results with regard to employee well-being and client well-being, compared to not-for-profit sector homes. We argue that the better financial performance of for-profit nursing homes seems to be associated with worse employee and client well-being.

PRACTICAL IMPLICATIONS

For policy makers considering the expansion of the for-profit sector in the nursing home industry, our findings suggest the need for a broad perspective, simultaneously weighing the potential benefits and drawbacks for the organization, its employees, and its clients.

Measuring Efficiency of Secondary Healthcare Providers in Slovenia

The chief aim of this study was to analyze secondary healthcare providers' efficiency, focusing on the efficiency analysis of Slovene general hospitals. We intended to present a complete picture of technical, allocative, and cost or economic efficiency of general hospitals.

Evaluating Technical Efficiency of Nursing Care Using Data Envelopment Analysis and Multilevel Modeling

Data envelopment analysis (DEA) is an advantageous non-parametric technique for evaluating relative efficiency of performance. This article describes use of DEA to estimate technical efficiency of nursing care and demonstrates the benefits of using multilevel modeling to identify characteristics of efficient facilities in the second stage of analysis. Data were drawn from LTCFocUS.org , a secondary database including nursing home data from the Online Survey Certification and Reporting System and Minimum Data Set. In this example, 2,267 non-hospital-based nursing homes were evaluated. Use of DEA with nurse staffing levels as inputs and quality of care as outputs allowed estimation of the relative technical efficiency of nursing care in these facilities. In the second stage, multilevel modeling was applied to identify organizational factors contributing to technical efficiency. Use of multilevel modeling avoided biased estimation of findings for nested data and provided comprehensive information on differences in technical efficiency among counties and states.

[Effects of a physical restraint removal program on older people with dementia in residential care]

OBJECTIVE

To analyse the results of removing physical restraints from elderly patients with dementia living in nursing homes. This objective is part of a wider process of change in residential care.

METHODS

Quasi-experimental study conducted in two residences from May 2010 to May 2012. Information was collected at 7 time points and longitudinal analyses were performed. After training staff, the physical restraints in El Puig centre were phased out, while in the Conarda centre, restraints were still applied to elderly people. The main variables studied were: falls, psychotropic medication prescriptions, different indicators of mental impairment, and degree of dependence (Norton, NPI, Mini-mental, Tinetti, Barthel).

RESULTS

In the El Puig centre all the physical restraints were removed. A slight improvement was seen in the number of falls, and their consequences. The ANOVA showed significant improvements in the centre that removed restraints in prescribing psychotropic medications, cognitive impairment, and behavioural changes.

DISCUSSION

It is shown that removing physical restraints do not cause negative effects as regards the number of falls, and also positively affects the welfare and independence of elderly people (through changes in behaviour and mental impairment). Furthermore, it is demonstrated that this program must be accompanied by the reduction and control of medicines (withdrawal of the number of psychotropic prescriptions).

Comprehensive Care Plan Development Using Resident Assessment Instrument Framework: Past, Present, and Future Practices

Development of the comprehensive care plan (CCP) is a requirement for nursing homes participating in the federal Medicare and Medicaid programs, referred to as skilled nursing facilities. The plan must be developed within the context of the comprehensive interdisciplinary assessment framework-the Resident Assessment Instrument (RAI). Consistent compliance with this requirement has been difficult to achieve. To improve the quality of CCP development within this framework, an increased understanding of complex factors contributing to inconsistent compliance is required. In this commentary, we examine the history of the comprehensive care plan; its development within the RAI framework; linkages between the RAI and registered nurse staffing; empirical evidence of the CCP's efficacy; and the limitations of extant standards of practices in CCP development. Because of the registered nurse's educational preparation, professional practice standards, and licensure obligations, the essential contributions of professional nurses in CCP development are emphasized. Recommendations for evidence-based micro and macro level practice changes with the potential to improve the quality of CCP development and regulatory compliance are presented. Suggestions for future research are given.

Consumer direction in long-term care policy: overcoming barriers to promoting older adults' opportunity for self-direction

There has been a growing trend in long-term care policy to offer individuals with disabilities the option of consumer direction (CD), where responsibility of managing care and support services is transferred from agencies to care recipients, thus supporting clients' self-determination. Although CD has been accepted as an option for non-elderly individuals with disabilities, barriers persist to promoting older adults' autonomy through CD. This article reviews the incorporation of CD in long-term care policy, addresses the current barriers to providing older adults the right to self-direct, and makes recommendations for overcoming these barriers through social work practice, policy, and research.

Efficiency and quality of care in nursing homes: an Italian case study

This study investigates efficiency and quality of care in nursing homes. By means of Data Envelopment Analysis (DEA), the efficiency of 40 nursing homes that deliver their services in the north-western area of the Lombardy Region was assessed over a 3-year period (2005-2007). Lombardy is a very peculiar setting, since it is the only Region in Italy where the healthcare industry is organised as a quasi-market, in which the public authority buys health and nursing services from independent providers-establishing a reimbursement system for this purpose. The analysis is conducted by generating bootstrapped DEA efficiency scores for each nursing home (stage one), then regressing those scores on explanatory variables (stage two). Our DEA model employed two input (i.e. costs for health and nursing services and costs for residential services) and three output variables (case mix, extra nursing hours and residential charges). In the second-stage analysis, Tobit regressions and the Kruskall-Wallis tests of hypothesis to the efficiency scores were applied to define what are the factors that affect efficiency: (a) the ownership (private nursing houses outperform their public counterparts); and (b) the capability to implement strategies for labour cost and nursing costs containment, since the efficiency heavily depends upon the alignment of the costs to the public reimbursement system. Lastly, even though the public institutions are less efficient than the private ones, the results suggest that public nursing homes are moving towards their private counterparts, and thus competition is benefiting efficiency.

Electronic medical records and cost efficiency in hospital medical-surgical units

This study examines the impact of electronic medical records (EMRs) on cost efficiency in hospital medical-surgical units. Using panel data on California hospitals from 1998 to 2007, we employed stochastic frontier analysis (SFA) to estimate the relationships between EMR implementation and the cost inefficiency of medical-surgical units. We categorized EMR implementation into three stages based on the level of sophistication. We also examined the effects of specific EMR systems on cost inefficiency. Our SFA models addressed potential bias from unobserved heterogeneity and heteroskedasticity. EMR Stages 1 and 2, nursing documentation, electronic medication administration records, and clinical decision support were associated with significantly higher inefficiency.