The effects of California minimum nurse staffing laws on nurse labor and patient mortality in skilled nursing facilities

Assessing the impact of enforcement and compliance with minimum staffing standards on the quality of care in nursing homes: Evidence from the Centers for Medicare and Medicaid Services' staff star rating downgrade policy

Policymakers have historically attempted to influence quality in nursing homes through the imposition of minimum staffing standards and through the public dissemination of quality on websites like Care Compare. One current Federal standard necessitates a registered nurse (RN) on duty for at least eight consecutive hours each day. In 2018, the Centers for Medicare and Medicaid Services announced that they would incentivize compliance with this requirement by downgrading nursing homes with 7+ days without an RN present during the quarter by one star on their Care Compare staffing domain quality rating. This study evaluates the impact of this new enforcement mechanism. Using an intent-to-treat sample of nursing homes at risk for downgrade with difference-in-differences and event study models, it finds that the policy increased compliance and staffing levels. Using the policy to instrument for full compliance, it finds that the daily presence of an RN causally improves several quality dimensions.

Do not PIMP my nursing home ride! The impact of Potentially Inappropriate Medications Prescribing on residents' emergency care use

Nursing home residents often are poly-medicated, which increases their risks of receiving potentially inappropriate medications. This problem has become a major public health issue in many countries, and in particular in France. Indeed, high uses of potentially inappropriate medication prescriptions can lead to adverse effects that are likely to increase emergency room (ER) visits. However, there is a lack of empirical evidence on the causal relationship between the amount of use of potentially inappropriate medications and ER visit risks among nursing homes residents. Indeed, this question is subject to endogeneity issues due to omitted variables that simultaneously affect inappropriate medications prescriptions and ER use. We take advantage of the IDEM Randomized Clinical Trial (Systematic Dementia Screening by Multidisciplinary Team Meetings in Nursing Homes for Reducing Emergency Department Transfers) to overcome that issue. Indeed, randomization in the IDEM intervention group created exogenous variations in potentially inappropriate prescriptions, and was thus used as an instrument. Using an instrumental variable model, we show that over a 12-month period, a 1% increase in the share of potentially inappropriate medications spending in total medication spending leads to a 5.7 percentage point increase in residents' ER use risks (p < 0.001). This effect is robust to various model specifications. Moreover, the intensity of this correlation persists over an 18-month period. While tackling wasteful spending has become a priority in most countries, our results have important policy implications. Indeed, reducing potentially inappropriate medication spending in nursing homes should be a key component of value-based aging policies, which objectives are to reduce inefficient care, and provide health care services centered in people's interest.

Paying for the view? How nursing home prices affect certified staffing ratios

Many countries limit public and private reimbursement for nursing care costs for social or financial reasons. Still, quality varies across nursing homes. We explore the causal link between case-mix adjusted nurse staffing ratios as an indicator of care quality and different price components in Swiss nursing homes. The Swiss reimbursement system limits and subsidizes the care price at the cantonal level, which implicitly limits staffing ratios, while the residents cover the nursing home-specific lodging price privately. To estimate causal effects, we exploit (i) the exogeneity of the Swiss care price regulation, (ii) nursing-home fixed effects estimations and (iii) instrumental variables for the lodging price. Our estimates show a positive impact of prices on certified staffing ratios. We find that a 10% increase in care prices increases certified staffing ratios by 3-4%. A comparable 10% increase in lodging prices raises certified staffing ratios by 1.5-10% (depending on the model). Our findings highlight that price limits for nursing care impose a limit on staffing ratios. Furthermore, our results indicate that providers circumvent price limits by increasing lodging prices that are privately covered. Thus, this cost shifting implicitly shifts the financial burden to the residents.

The Need for an Economically Feasible Nursing Home Staffing Regulation: Evaluating an Acuity-Based Nursing Staff Benchmark

Background and Objectives

Despite concerns about the adequacy of nursing home (NH) staffing, the federal agency responsible for NH certification and regulation has never adopted an explicit quantitative nursing staff standard. A prior study has proposed a benchmark for this purpose based on the 1995/97 Staff Time Measurement (STM) studies. This article aims to assess the extent to which NHs staff to this proposed STM benchmark, the extent to which regulators already implicitly apply the STM benchmark, and compute the additional operating expenses NHs would incur to adhere to the STM benchmark.

Research Design and Methods

Using NH Compare Archive data, the STM benchmark was compared to staffing levels reported by the facility and whether NHs received a nursing staff deficiency. Using financial information from Medicare Cost Reports, the additional annual operating expenses required to staff to the STM benchmark were calculated for each state and nationwide.

Results

The vast majority of NHs did not staff to the STM benchmark; 80.2% for registered nurses and 60.0% for total nursing staff. Deficiency patterns showed that NH regulators were not using the STM benchmark to determine sufficiency of nursing staff. Implementing the STM benchmark as a regulatory standard would increase operating expenses for 59.1% of NHs, at an average annual cost of half-million dollars per facility. The nationwide increase in operating expense is estimated to be at least $4.9 billion per year.

Discussion and Implications

Without clear guidance on the staffing level needed to be sufficiently staffed, most NHs are subject to a community standard of care, which some have argued could be associated with suboptimal staffing levels. Implementing an acuity-based benchmark could result in improved staffing levels but also comes with significant economic costs. The STM benchmark is not economically feasible at current Medicare and Medicaid reimbursement levels.

Facility characteristics and costs associated with meeting proposed minimum staffing levels in skilled nursing facilities

BACKGROUND

Federal minimum nurse staffing levels for skilled nursing facilities (SNFs) were proposed in 2019 U.S. Congressional bills. We estimated costs and personnel needed to meet the proposed staffing levels, and examined characteristics of SNFs not meeting these thresholds.

METHODS

This was a cross-sectional analysis of 2019Q4 payroll data, the Hospital Wage Index, and other administrative data for 14,964 Medicare and Medicaid-certified SNFs. We examined characteristics of SNFs not meeting proposed minimum thresholds: 4.1 total nursing hours per resident day (HPRD); 0.75 registered nurse (RN) HPRD; 0.54 licensed practical nurse (LPN) HPRD; and 2.81 certified nursing assistant (CNA) HPRD. For SNFs falling below the thresholds, we calculated the additional HPRD needed, along with the associated full-time equivalent (FTE) personnel and salary costs.

RESULTS

In 2019, 25.0% of SNFs met the minimum 4.1 total nursing HPRD, while 31.0%, 84.5%, and 10.7% met the RN, LPN, and CNA thresholds, respectively. Only 5.0% met all four categories. In adjusted analyses, factors most strongly associated with SNFs not meeting the proposed minimums were: higher Medicaid census, larger bed size, for-profit ownership, higher county SNF competition; and, for RNs specifically, higher community poverty and lower Medicare census. Rural SNFs were less likely to meet all categories and this was explained primarily by county SNF competition. We estimate that achieving the proposed federal minimums across SNFs nationwide would require an estimated additional 35,804 RN, 3509 LPN, and 116,929 CNA FTEs at $7.25 billion annually in salary costs based on current wage rates and prepandemic resident census levels.

CONCLUSIONS

Achieving proposed minimum nurse staffing levels in SNFs will require substantial financial investment in the workforce and targeted support of low-resource facilities. Extensive recruitment and retention efforts are needed to overcome supply constraints, particularly in the aftermath of the COVID-19 pandemic.

Considering the new minimum staffing standards for Australian residential aged care

ObjectiveTo compare the historical staffing patterns and organisational characteristics of Australian residential aged care facilities (RACFs) against the new minimum staffing standards recommended by the Royal Commission into Aged Care Quality and Safety (RCACQS).MethodRetrospective data analysis was used to compare the staffing levels and characteristics of 1705 RACFs (for 4 years, 2016-19) with the three new mandatory staffing requirements. De-identified datasets were provided by the RCACQS, obtained under its legal authority.ResultsOnly 3.8% of RACFs have staffing levels at or above all three requirements. Although many (79.7%) already meet the requirement to have a registered nurse (RN) on-site for morning and afternoon shifts, few have staffing levels above requirements for total direct care per resident per day (10.4%) or care provided by an RN per resident per day (11.1%). Historical levels of on-site RNs, total direct care, and RN care vary significantly across facilities of different size, location and provider scale.ConclusionThe new staffing standards, to be mandatory by 2023, prescribe minimum requirements significantly higher than existing levels, particularly in care per resident per day. Each of the three requirements will likely have a differential effect for different types of RACFs.What is known about the topic?International evidence suggests that introducing mandatory minimum staffing standards tends to increase the amount of care provided by staff in residential aged care facilities (RACFs). However, the impact of staffing standards is influenced by the stringency of the minimum threshold relative to existing staffing levels, the capacity of organisations to increase their staffing levels, and the specific way the regulation is formulated.What does this paper add?This paper explores the potential implications of the three national minimum staffing standards, to be in force by October 2023, specifying total direct care, care received by a registered nurse (RN), and an RN on-site. By examining the existing staffing levels of Australian RACFs, it identifies the extent to which facilities already meet the new standards and the characteristics of facilities with staffing levels above and below the three requirements (individually and in combination).What are the implications for practitioners?The study informs both policy and practice in relation to the likely effects of implementing the national minimum staffing standards for residential aged care in Australia. It demonstrates that the new minimum thresholds are likely to require substantial increases in staffing across the sector, both in terms of all direct care workers and RNs. It also shows that the three requirements are likely to have a differential effect for RACFs of different size, location and chain affiliation, thereby guiding policy about the future needs for Australia's aged care workforce.

Predicting polytomous career choices in healthcare using probabilistic expectations data

This paper compares career expectations and career outcomes of Swiss healthcare assistants (HCA), an occupation created to increase the supply of nurses. We investigate whether HCAs can predict their own professional careers two years ahead by eliciting their expectations for a range of career alternatives, including nursing and other studies. Polytomous choice situations have rarely been analyzed using numerical probabilities in the expectations literature. Our results show that almost all respondents give informative answers to the probabilistic online survey question. Individuals express considerable uncertainty about their future careers, with over 60% attaching positive probabilities to more than one career alternative. The analyses reveal that individuals' numerical expectations have substantial predictive value for their future careers, even after controlling for many variables. This finding confirms that individuals have private information not directly available to researchers, and that eliciting choice probabilities for polytomous choice situations is a viable approach in surveys. However, the mean shares for career alternatives implied by individual probabilities do not fully coincide with actual shares and are more accurate over 4 than over 2 years. The information conveyed in expectations and their deviations from outcomes enables us to derive policy recommendations to increase transitions to nursing.

Characteristics and mortality rates among patients requiring intermediate care: a national cohort study using linked databases

BACKGROUND

Adults increasingly live and die with chronic progressive conditions into advanced age. Many live with multimorbidity and an uncertain illness trajectory with points of marked decline, loss of function and increased risk of end of life. Intermediate care units support mainly older adults in transition between hospital and home to regain function and anticipate and plan for end of life. This study examined the patient characteristics and the factors associated with mortality over 1 year post-admission to an intermediate care unit to inform priorities for care.

METHODS

A national cohort study of adults admitted to intermediate care units in England using linked individual-level Hospital Episode Statistics and death registration data. The main outcome was mortality within 1 year from admission. The cohort was examined as two groups with significant differences in mortality between main diagnosis of a non-cancer condition and cancer. Data analysis used Kaplan-Meier curves to explore mortality differences between the groups and a time-dependant Cox proportional hazards model to determine mortality risk factors.

RESULTS

The cohort comprised 76,704 adults with median age 81 years (IQR 70-88) admitted to 220 intermediate care units over 1 year in 2016. Overall, 28.0% died within 1 year post-admission. Mortality varied by the main diagnosis of cancer (total n = 3680, 70.8% died) and non-cancer condition (total n = 73,024, 25.8% died). Illness-related factors had the highest adjusted hazard ratios [aHRs]. At 0-28 days post-admission, risks were highest for non-cancer respiratory conditions (pneumonia (aHR 6.17 [95%CI 4.90-7.76]), chronic obstructive pulmonary disease (aHR 5.01 [95% CI 3.78-6.62]), dementia (aHR 5.07 [95% CI 3.80-6.77]) and liver disease (aHR 9.75 [95% CI 6.50-14.6]) compared with musculoskeletal disorders. In cancer, lung cancer showed largest risk (aHR 1.20 [95%CI 1.04-1.39]) compared with cancer 'other'. Risks increased with high multimorbidity for non-cancer (aHR 2.57 [95% CI 2.36-2.79]) and cancer (aHR 2.59 [95% CI 2.13-3.15]) (reference: lowest).

CONCLUSIONS

One in four patients died within 1 year. Indicators for palliative care assessment are respiratory conditions, dementia, liver disease, cancer and rising multimorbidity. The traditional emphasis on rehabilitation and recovery in intermediate care units has changed with an ageing population and the need for greater integration of palliative care.

Appropriate Nurse Staffing Levels for U.S. Nursing Homes

US nursing homes are required to have sufficient nursing staff with the appropriate competencies to assure resident safety and attain or maintain the highest practicable level of physical, mental, and psychosocial well-being of each resident. Minimum nurse staffing levels have been identified in research studies and recommended by experts. Beyond the minimum levels, nursing homes must take into account the resident acuity to assure they have adequate staffing levels to meet the needs of residents. This paper presents a guide for determining whether a nursing home has adequate and appropriate nurse staffing. We propose five basic steps to: (1) determine the collective resident acuity and care needs, (2) determine the actual nurse staffing levels, (3) identify appropriate nurse staffing levels to meet residents care needs, (4) examine evidence regarding the adequacy of staffing, and (5) identify gaps between the actual staffing and the appropriate nursing staffing levels based on resident acuity. Data sources and specific methodologies are analyzed, compared, and recommended. The goal is to assist nursing home nurses and administrators to ensure adequate nursing home staffing levels that protect resident health, safety, and well-being.

Is the Quality of Nursing Homes Countercyclical? Evidence From 2001 Through 2015

BACKGROUND AND OBJECTIVES

To examine whether nursing homes (NHs) provide better quality when unemployment rates rise (countercyclical) and explore mechanisms contributing to the relationship between quality and unemployment rates.

RESEARCH DESIGN AND METHODS

The study uses the data on privately owned, freestanding NHs in the continental United States that span a period from 2001 through 2015. The empirical analysis relies on panel fixed-effect regressions with the key independent variable being the county-level unemployment rate. NH quality is measured using deficiencies, outcomes, and care process measures. We also examine nursing staff levels, as well as employee turnover and retention.

RESULTS

NHs have better quality when unemployment rates increase. Higher unemployment rates are associated with fewer deficiencies and lower deficiency scores. This countercyclical relationship is also found among other quality measures. In terms of mechanisms, we find higher nursing staff levels, lower employee turnover, and better workforce retention when unemployment rates rise. Improvement in staffing is likely contributing to better quality during recessions. Interestingly, these effects predominately occur in for-profit NHs for deficiencies and staffing levels.

DISCUSSIONS AND IMPLICATIONS

NH quality is countercyclical. With near record-low unemployment rates in 2018, regulatory agencies should pay close attention to NH quality when and where the local economy registers strong growth. On the other hand, the finding of the unemployment rate-staffing/turnover relationship also suggests that policies increasing staffing and reducing employee turnover may not only improve NH quality but also have the potential to smooth quality fluctuations between business cycles.

Does the Time of Solitary Rapid Response Team Call Affect Patient Outcome?

Objective

The study aimed to evaluate the effect of a single after-hours rapid response team (RRT) calls on patient outcome.

Design

A retrospective cohort study of RRT-call data over a 3-year period.

Setting

A 600-bedded, tertiary referral, public university hospital.

Participants

All adult patients who had a single RRT-call during their hospital stay.

Intervention

None.

Main outcomes measures

The primary outcome was to compare all-cause in-hospital mortality. The secondary outcomes were to study the hourly variation of RRT-calls and the mortality rate.

Results

Of the total 5,108 RRT-calls recorded, 1,916 patients had a single RRT-call. Eight hundred and sixty-one RRT-calls occurred during work-hours (08:00-17:59 hours) and 1,055 during after-hours (18:00-7:59). The all-cause in-hospital mortality was higher (15.07% vs 9.75%, OR 1.64, 95% CI 1.24-2.17, p value 0.001) in patients who had an after-hours RRT-call. This difference remained statistically significant after multivariate regression analysis (OR 1.50, 95% CI 1.11-2.01, p value 0.001). We noted a lower frequency of hourly RRT-calls after-hours but were associated with higher hourly mortality rates. There was no difference in outcomes for patients who were admitted to ICU post-RRT-call.

Conclusion

Patients having an after-hour RRT-call appear to have a higher risk for hospital mortality. No causal mechanism could be identified other than a decrease in hourly RRT usage during after-hours.

How to cite this article

Singh MY, Vegunta R, Karpe K, Rai S. Does the Time of Solitary Rapid Response Team Call Affect Patient Outcome? Indian J Crit Care Med 2020;24(1):38-43.

Capacity constraints and time allocation in public health clinics

Unlike in the production of most goods, changes in capacity for labor-intensive services only affect outcomes of interest insofar as service providers change the way they allocate their time in response to those capacity changes. In this paper, we examine how public sector service providers respond to unexpected capacity constraints in the specific context of public health clinics. We exploit an exogenous reduction in public health clinic capacity to quantify the trade-off between patients treated and time spent with each patient, which we treat as a proxy for a quality versus quantity decision. We provide evidence that these small and generally insignificant effects on nurse time favor public sector employees prioritizing quality of each interaction over clearing the patient queue.

Innovation to enhance health in care homes and evaluation of tools for measuring outcomes of care: rapid evidence synthesis

Background

Flexible, integrated models of service delivery are being developed to meet the changing demands of an ageing population. To underpin the spread of innovative models of care across the NHS, summaries of the current research evidence are needed. This report focuses exclusively on care homes and reviews work in four specific areas, identified as key enablers for the NHS England vanguard programme.

Aim

To conduct a rapid synthesis of evidence relating to enhancing health in care homes across four key areas: technology, communication and engagement, workforce and evaluation.

Objectives

(1) To map the published literature on the uses, benefits and challenges of technology in care homes; flexible and innovative uses of the nursing and support workforce to benefit resident care; communication and engagement between care homes, communities and health-related organisations; and approaches to the evaluation of new models of care in care homes. (2) To conduct rapid, systematic syntheses of evidence to answer the following questions. Which technologies have a positive impact on resident health and well-being? How should care homes and the NHS communicate to enhance resident, family and staff outcomes and experiences? Which measurement tools have been validated for use in UK care homes? What is the evidence that staffing levels (i.e. ratio of registered nurses and support staff to residents or different levels of support staff) influence resident outcomes?

Data sources

Searches of MEDLINE, CINAHL, Science Citation Index, Cochrane Database of Systematic Reviews, DARE (Database of Abstracts of Reviews of Effects) and Index to Theses. Grey literature was sought via Google™ (Mountain View, CA, USA) and websites relevant to each individual search.

Design

Mapping review and rapid, systematic evidence syntheses.

Setting

Care homes with and without nursing in high-income countries.

Review methods

Published literature was mapped to a bespoke framework, and four linked rapid critical reviews of the available evidence were undertaken using systematic methods. Data were not suitable for meta-analysis, and are presented in narrative syntheses.

Results

Seven hundred and sixty-one studies were mapped across the four topic areas, and 65 studies were included in systematic rapid reviews. This work identified a paucity of large, high-quality research studies, particularly from the UK. The key findings include the following. (1) Technology: some of the most promising interventions appear to be games that promote physical activity and enhance mental health and well-being. (2) Communication and engagement: structured communication tools have been shown to enhance communication with health services and resident outcomes in US studies. No robust evidence was identified on care home engagement with communities. (3) Evaluation: 6 of the 65 measurement tools identified had been validated for use in UK care homes, two of which provide general assessments of care. The methodological quality of all six tools was assessed as poor. (4) Workforce: joint working within and beyond the care home and initiatives that focus on staff taking on new but specific care tasks appear to be associated with enhanced outcomes. Evidence for staff taking on traditional nursing tasks without qualification is limited, but promising.

Limitations

This review was restricted to English-language publications after the year 2000. The rapid methodology has facilitated a broad review in a short time period, but the possibility of omissions and errors cannot be excluded.

Conclusions

This review provides limited evidential support for some of the innovations in the NHS vanguard programme, and identifies key issues and gaps for future research and evaluation.

Future work

Future work should provide high-quality evidence, in particular experimental studies, economic evaluations and research sensitive to the UK context.

Study registration

This study is registered as PROSPERO CRD42016052933, CRD42016052933, CRD42016052937 and CRD42016052938.

Funding

The National Institute for Health Research Health Services and Delivery Research programme.

Association of nurse staffing grade and 30-day mortality in intensive care units among cardiovascular disease patients

After the implementation of a policy differentiating inpatient nursing fees, no study is found in the nursing literature for intensive care unit (ICU) patients admitted with cardiovascular (CV) disease exclusively in Korea. This study investigates the relationship between ICU nurse staffing and 30-day mortality using large representative claim database.National Health Insurance Service-Senior (NHIS-Senior) claim database from 2002 to 2013, which was released by the Korean National Health Insurance Service (KNHIS), was used in this study. We included CV disease inpatients as a primary diagnostic code (I20-I25) who had their ICU utilization records from differentiating inpatient nursing fees code, resulting in 17,081 subjectsAfter adjusting for confounders, the hazard ratio (HR) for 30-day mortality after discharge (HR: 1.177; P: .018) and in-hospital 30-day mortality (HR: 1.145; P: .058) were higher in general hospital (GH) than in tertiary hospital (TH). In GH setting, HR for 30-day mortality after discharge (HR: 1.499; P: .010) and in-hospital 30-day mortality (HR: 1.377; P: .042) were higher in grade 7 to 9 than grade 1 to 2, but not in TH setting.This study shows that ICU nurse staffing related to improved mortality risk in GHs. Therefore, adequate nurse staffing to provide safe and high-quality care can be ensured by continuous monitoring and evaluation of nurse staffing.

The Need for Higher Minimum Staffing Standards in U.S. Nursing Homes

Many U.S. nursing homes have serious quality problems, in part, because of inadequate levels of nurse staffing. This commentary focuses on two issues. First, there is a need for higher minimum nurse staffing standards for U.S. nursing homes based on multiple research studies showing a positive relationship between nursing home quality and staffing and the benefits of implementing higher minimum staffing standards. Studies have identified the minimum staffing levels necessary to provide care consistent with the federal regulations, but many U.S. facilities have dangerously low staffing. Second, the barriers to staffing reform are discussed. These include economic concerns about costs and a focus on financial incentives. The enforcement of existing staffing standards has been weak, and strong nursing home industry political opposition has limited efforts to establish higher standards. Researchers should study the ways to improve staffing standards and new payment, regulatory, and political strategies to improve nursing home staffing and quality.

The Need for Higher Minimum Staffing Standards in U.S. Nursing Homes

Many U.S. nursing homes have serious quality problems, in part, because of inadequate levels of nurse staffing. This commentary focuses on two issues. First, there is a need for higher minimum nurse staffing standards for U.S. nursing homes based on multiple research studies showing a positive relationship between nursing home quality and staffing and the benefits of implementing higher minimum staffing standards. Studies have identified the minimum staffing levels necessary to provide care consistent with the federal regulations, but many U.S. facilities have dangerously low staffing. Second, the barriers to staffing reform are discussed. These include economic concerns about costs and a focus on financial incentives. The enforcement of existing staffing standards has been weak, and strong nursing home industry political opposition has limited efforts to establish higher standards. Researchers should study the ways to improve staffing standards and new payment, regulatory, and political strategies to improve nursing home staffing and quality.

The Best of Times, the Worst of Times: Understanding Pro-cyclical Mortality

It is well known that mortality rates are pro-cyclical. In this paper, we attempt to understand why. We find little evidence that cyclical changes in individuals' own employment-related behavior drives the relationship; own-group employment rates are not systematically related to own-group mortality. Further, most additional deaths that occur when the economy is strong are among the elderly, particularly elderly women and those residing in nursing homes. We also demonstrate that staffing in nursing homes moves counter-cyclically. These findings suggest that cyclical fluctuations in the quality of health care may be a critical contributor to cyclical movements in mortality.

Intended and unintended consequences of minimum staffing standards for nursing homes

Staffing is the dominant input in the production of nursing home services. Because of concerns about understaffing in many US nursing homes, a number of states have adopted minimum staffing standards. Focusing on policy changes in California and Ohio, this paper examined the effects of minimum nursing hours per resident day regulations on nursing home staffing levels and care quality. Panel data analyses of facility-level nursing inputs and quality revealed that minimum staffing standards increased total nursing hours per resident day by 5% on average. However, because the minimum staffing standards treated all direct care staff uniformly and ignored indirect care staff, the regulation had the unintended consequences of both lowering the direct care nursing skill mix (i.e., fewer professional nurses relative to nurse aides) and reducing the absolute level of indirect care staff. Overall, the staffing regulations led to a reduction in severe deficiency citations and improvement in certain health conditions that required intensive nursing care.

The association between attendance of midwives and workload of midwives with the mode of birth: secondary analyses in the German healthcare system

Background

The continuous rise in caesarean rates across most European countries raises multiple concerns. One factor in this development might be the type of care women receive during childbirth. ‘Supportive care during labour’ by midwives could be an important factor for reducing fear, tension and pain and decreasing caesarean rates. The presence and availability of midwives to support a woman in line with her needs are central aspects for ‘supportive care during labour’.

To date, there is no existing research on the influence of effective ‘supportive care’ by German midwives on the mode of birth. This study examines the association between the attendance and workload of midwives with the mode of birth outcomes in a population of low-risk women in a German multicentre sample.

Methods

The data are based on a prospective controlled multicentre trial (n = 1,238) in which the intervention ‘midwife-led care’ was introduced. Four German hospitals participated between 2007 and 2009.

Secondary analyses included a convenience sample of 999 low-risk women from the primary analyses who met the selection criterion ‘low-risk status’. Participation was voluntary. The association between the mode of birth and the key variables ‘attendance of midwives’ and ‘workload of midwives’ was assessed using backward logistic regression models.

Results

The overall rate of spontaneous delivery was 80.7% (n = 763). The ‘attendance of midwives’ and the ‘workload of midwives’ did not exhibit a significant association with the mode of birth. However, women who were not satisfied with the presence of midwives (OR: 2.45, 95% CI 1.54-3.95) or who did not receive supportive procedures by midwives (OR: 3.01, 95% CI 1.50-6.05) were significantly more likely to experience operative delivery or a caesarean. Further explanatory variables include the type of hospital, participation in childbirth preparation class, length of stay from admission to birth, oxytocin usage and parity.

Conclusion

Satisfaction with the presence of and supportive procedures by midwives are associated with the mode of birth. The presence and behaviour of midwives should suit the woman’s expectations and fulfil her needs. For reasons of causality, we would recommend experimental or quasi-experimental research that would exceed the explorative character of this study.

The labor market effects of California's minimum nurse staffing law

In 2004, California became the first state to implement statewide minimum nurse-to-patient ratios in general hospitals. In spite of years of work to establish statewide staffing regulations, there is little evidence that the law was effective in attracting more nurses to the hospital workforce or improving patient outcomes. This paper examines the effects of this legislation on employment and wages of registered nurses. By using annual financial data from California hospitals, I show that nurse-to-patient ratios in medical/surgical units increased substantially following the staffing mandate. However, survey data from two nationally representative datasets indicate that the law had no effect on the aggregate number of registered nurses or the hours they worked in California hospitals, and at most a modest effect on wages. My findings suggest that offsetting changes in labor demand due to hospital closures, combined with reclassification of workers within hospitals, and mitigated the employment effects of California's staffing regulation. This paper cautions that California's experience with minimum nurse staffing legislation may not be generalizable to states considering similar policies in very different hospital markets.

Nursing home staffing requirements and input substitution: effects on housekeeping, food service, and activities staff

OBJECTIVE

To study the effect of minimum nurse staffing requirements on the subsequent employment of nursing home support staff.

DATA SOURCES

Nursing home data from the Online Survey Certification and Reporting (OSCAR) System merged with state nurse staffing requirements.

STUDY DESIGN

Facility-level housekeeping, food service, and activities staff levels are regressed on nurse staffing requirements and other controls using fixed effect panel regression.

DATA EXTRACTION METHOD

OSCAR surveys from 1999 to 2004.

PRINCIPAL FINDINGS

Increases in state direct care and licensed nurse staffing requirements are associated with decreases in the staffing levels of all types of support staff.

CONCLUSIONS

Increased nursing home nurse staffing requirements lead to input substitution in the form of reduced support staffing levels.

Predictors of emergency commitment for nursing home residents: the role of resident and facility characteristics

OBJECTIVES

The ability of nursing homes to manage the mental health needs of their residents is crucial to providing high quality care. An important element is preventing exacerbations of psychiatric conditions that trigger discharge from the nursing home (NH) because of an emergency commitment (EC) for an involuntary psychiatric examination. The objective of this study was to examine the relationship between resident and facility characteristics and the risk of EC for involuntary psychiatric examination among Medicaid-enrolled NH residents in Florida.

DESIGN

This retrospective cohort study employed 2.5 years (31 December 2002 through 30 June 2005) of Medicaid enrollment and fee-for-service, pharmacy, and involuntary commitment data to examine resident characteristics. NH characteristics were obtained from the Online Survey Certification and Reporting database.

SETTING

Medicaid-certified NHs in Florida (N= 584).

PARTICIPANTS

Medicaid-enrolled NH residents (N= 32,604).

RESULTS

Younger age, male gender, having dementia, having a serious mental illness (SMI), and residing in a for-profit facility were all independently associated with the greater risk of EC. Although most residents with EC were prescribed psychotropic medication, less than half received non-pharmacological behavioral health outpatient services before or after their involuntary psychiatric examination.

CONCLUSION

Our findings highlight the salience of resident and facility characteristics to prevalence rates of EC for involuntary psychiatric examinations among NH residents and underscore a need for increased education, communication, and future research on the predictive factors as well as the consequences of these adverse events.

Staffing ratios and quality: an analysis of minimum direct care staffing requirements for nursing homes

OBJECTIVE

To study the impact of minimum direct care staffing (MDCS) requirements on nurse staffing levels, nurse skill mix, and quality.

DATA SOURCES

U.S. nursing home facility data from the Online Survey Certification and Reporting (OSCAR) System merged with MDCS requirements. STUDY DESIGN; Facility-level outcomes of nurse staffing levels, nurse skill mix, and quality measures are regressed on the level of nurse staffing required by MDCS requirements in the prior year and other controls using fixed effect panel regression. Quality measures are care practices, resident outcomes, and regulatory deficiencies.

DATA EXTRACTION METHOD

Analysis used all OSCAR surveys from 1999 to 2004, resulting in 17,552 unique facilities with a total of 94,371 survey observations.

PRINCIPLE FINDINGS

The effect of MDCS requirements varied with reliance of the nursing home on Medicaid. Higher MDCS requirements increase nurse staffing levels, while their effect on nurse skill mix depends on the reliance of the nursing home on Medicaid. MDCS have mixed effects on care practices but are generally associated with improved resident outcomes and meeting regulatory standards.

CONCLUSIONS

MDCS requirements change staffing levels and skill mix, improve certain aspects of quality, but can also lead to use of care practices associated with lower quality.