Factors associated with discontinuation of treatment for pulmonary arterial hypertension in the United States

Information on factors leading to pulmonary arterial hypertension (PAH) treatment discontinuation is limited. This study analyzed 12,902 new PAH medication users to identify predictors of treatment discontinuation. Treatment by accredited pulmonary hypertension centers and combination therapy with PAH agents from different classes were less likely to result in discontinuation.

Economic Burden of Delayed Diagnosis in Patients with Pulmonary Arterial Hypertension (PAH)

BACKGROUND

The aim of this study was to assess health care resource utilization (HRU) and costs associated with delayed pulmonary arterial hypertension (PAH) diagnosis in the United States.

METHODS

Eligible adults with newly diagnosed PAH from Optum's de-identified Clinformatics® Data Mart Database (2016-2021) were assigned to mutually exclusive cohorts based on time between first PAH-related symptom and first PAH diagnosis (i.e., ≤12 months' delay, >12 to ≤24 months' delay, >24 months' delay). All-cause HRU and health care costs per patient per month (PPPM) were assessed during the first year following diagnosis and compared across cohorts using regression analysis adjusted for baseline covariates. Sensitivity analyses were conducted to assess outcomes during all available follow-up post-diagnosis.

RESULTS

Among 538 patients (mean age: 65.6 years; 60.6% female), 60.8% had ≤12 months' delay, 23.4% had a delay of >12 to ≤24 months, and 15.8% had >24 months' delay. Compared with ≤12 months, delays of >12 to ≤24 months and >24 months were associated with increased hospitalizations (incidence rate ratio [95% confidence interval]: 1.40 [1.11-1.71] vs 1.71 [1.29-2.12]) and outpatient visits (1.17 [1.06-1.30] vs 1.26 [1.08-1.41]). Longer delays were also associated with more intensive care unit (ICU) stays and 30-day readmissions. Diagnosis delays translated into excess costs PPPM of US$3986 [1439-6436] for >12 to ≤24 months and US$5366 [2107-8524] for >24 months compared with ≤12 months' delay; increased hospitalization costs (US$3248 [1108-5135] and US$4048 [1401-6342], respectively) being the driver. Sensitivity analyses yielded similar trends.

CONCLUSIONS

Delayed PAH diagnosis is associated with significant incremental economic burden post-diagnosis, driven by hospitalizations including ICU stays and 30-day readmissions, highlighting the need for increased awareness and a potential benefit of earlier screening.

Real-World Treatment Patterns Among Patients with Connective Tissue Disorder-Related Pulmonary Arterial Hypertension in the United States: A Retrospective Claims-Based Analysis

INTRODUCTION

Connective tissue disorders (CTDs) are the most frequent diseases associated with pulmonary arterial hypertension (PAH). Despite advances in treatment, the prognosis of CTD-related PAH remains poor. To help identify areas for improvement in the management of CTD-related PAH, this study assessed real-world PAH treatment patterns in this population in the US.

METHODS

Eligible adult patients with PAH initiated on a PAH treatment (index date: 1st initiation date) were identified from Optum's de-identified Clinformatics® Data Mart Database (10/01/2015-09/30/2021) and categorized into mutually exclusive cohorts (CTD + PAH; PAH) based on the presence of CTD diagnosis claims. Treatment patterns were assessed from the index date to the earliest of death or end of continuous insurance eligibility, or data availability. Treatment persistence was assessed using Kaplan-Meier analysis.

RESULTS

A total of 4751 patients were included (CTD + PAH: n = 728, mean follow-up of 18.8 months; PAH: n = 4023, mean follow-up of 19.6 months). For both cohorts, the most common first treatment regimens were sildenafil (CTD + PAH: 38.7%; PAH: 51.5%), tadalafil (10.0%; 9.4%), and macitentan (8.1%; 5.4%) monotherapy; these were also the most frequent agents included in any of the first 3 treatment regimens. Combination therapy was more frequent in the CTD + PAH versus PAH cohort (any regimen: 40.9% vs. 27.2%; 1st treatment regimen: 26.9% vs. 18.5%; 2nd: 52.8% vs. 42.0%; 3rd: 55.2% vs. 48.5%). Treatment persistence was similar across cohorts and the first three treatment regimens, with persistence rates ranging from 42.6 to 49.7% at 12 months.

CONCLUSIONS

Treatment patterns were generally similar between the CTD + PAH and PAH cohorts, although combination therapy was more frequent in the CTD + PAH cohort. Both cohorts may benefit from broader use of all available PAH treatment classes, including combination therapy. Considering the life-threatening nature of PAH, our findings also highlight the need to address the low persistence rates with PAH therapies regardless of etiology.

Impact of the COVID-19 pandemic on care disruptions, outcomes, and costs in patients receiving pulmonary arterial hypertension-specific therapy in the United States of America: An observational study

Regular expert follow-up, risk assessment, and early therapeutic intervention minimize worsening of pulmonary arterial hypertension (PAH). COVID-19 lockdown measures were challenging for chronic disease management. This retrospective, longitudinal analysis used US claims data (January 12, 2016 to September 11, 2021) for patients treated with PAH-specific medication to compare in-person outpatient and specialist visits, telemedicine visits, and PAH-related tests during 6-month assessment periods pre- and immediately post-COVID-19. Hospitalizations, costs, and outcomes were compared in patients with and without care disruptions (no in-person or telemedicine outpatient visits in immediate post-COVID-19 period). Patients in the immediate post-COVID-19 (N = 599) versus the pre-COVID-19 period (N = 598) had fewer in-person outpatient visits (mean 1.27 vs. 2.12) and in-person specialist visits (pulmonologist, 22.9% vs. 37.0% of patients; cardiologist, 27.5% vs. 33.8%); and more telemedicine visits (mean 0.45 vs. 0.02). In the immediate post-COVID-19 period, patients were less likely to have a PAH-related test versus the pre-COVID-19 period (incidence rate ratio: 0.700; 95% confidence interval: 0.615-0.797), including electrocardiograms (41.7% vs. 54.2%) and 6-minute walk distance tests (16.2% vs. 24.9%). In the immediate post-COVID-19 period, 48 patients had care disruptions and, in the following year, required more hospital days than those without care disruptions (N = 240) (median 10 vs. 5 days in total) and had higher overall hospitalization costs (median US$34,755 vs. US$20,090). Our findings support the need for minimizing care disruptions to potentially avoid incremental post-disruption healthcare utilization and costs among patients with serious chronic diseases such as PAH.

Economic burden of illness among patients with pulmonary arterial hypertension (PAH) associated with connective tissue disorders (CTD)

Pulmonary arterial hypertension (PAH) is commonly associated with connective tissue disorders (CTDs). This study provides a contemporary assessment of the economic burden of CTD + PAH and PAH in the United States. Eligible adult patients identified from Optum's deidentified Clinformatics® Data Mart Database (10/01/2015-09/30/2021) were classified into mutually exclusive cohorts based on recorded diagnoses: (1) CTD + PAH, (2) PAH, (3) CTD, (4) control without CTD/PAH. The index date was a randomly selected diagnosis date for PAH (CTD + PAH, PAH cohorts) or CTD (CTD cohort), or a random date (control cohort). Entropy balancing was used to balance characteristics across cohorts. Healthcare costs and healthcare resource utilization (HRU) per patient per month (PPPM) were assessed for ≤12 months postindex and compared among balanced cohorts. A total of 552,900 patients were included (CTD + PAH: n = 1876; PAH: n = 8177; CTD: n = 209,156; control: n = 333,691). Average total all-cause costs were higher for CTD + PAH than PAH cohort ($16,854 vs. $15,686 PPPM; p = 0.02); both cohorts incurred higher costs than CTD and control cohorts ($4476 and $2170 PPPM; all p < 0.001). Average HRU PPPM was similar between CTD + PAH and PAH cohorts (inpatient stay: 0.15 vs. 0.15, outpatient visits: 4.23 vs. 4.11; all p > 0.05), while CTD and control cohorts incurred less HRU (inpatient stay: 0.07 and 0.03, outpatient visits: 2.67 and 1.69; all p < 0.001). CTD + PAH and PAH are associated with a substantial economic burden. The incremental burden attributable to PAH versus the general population and patients with CTD without PAH highlights significant unmet needs among PAH patients.

Trends In Mental Health Care Delivery By Psychiatrists And Nurse Practitioners In Medicare, 2011-19

The supply of psychiatrists in the United States is inadequate to address the unmet demand for mental health care. Psychiatric mental health nurse practitioners (PMHNPs) may fill the widening gap between supply of and demand for mental health specialists with prescribing privileges. Using Medicare claims for a 100 percent sample of fee-for-service beneficiaries (average age, sixty-one years) who had an office visit for either a psychiatrist or a PMHNP during the period 2011-19, we examined how the supply and use of psychiatrists and PMHNPs changed over time, and we compared their practice patterns. Psychiatrists and PMHNPs treated roughly comparable patient populations with similar services and prescriptions. From 2011 to 2019 the number of PMHNPs treating Medicare beneficiaries grew 162 percent, compared with a 6 percent relative decrease in the number of psychiatrists doing so. During the same period, total annual mental health office visits per 100 beneficiaries decreased 11.5 percent from 27.4 to 24.2, the net result of a 29.0 percent drop in psychiatrist visits being offset by a 111.3 percent increase in PMHNP visits. The proportion of all mental health prescriber visits provided by PMHNPs increased from 12.5 percent to 29.8 percent during 2011-19, exceeding 50 percent in rural, full-scope-of-practice regions. PMHNPs are a rapidly growing workforce that may be instrumental in improving mental health care access.

Antidepressants Are the Most Commonly Discontinued Psychotherapeutic Medications in Pregnancy

BACKGROUND

Psychiatric illnesses are common during the perinatal period. The use of antipsychotic medication during pregnancy has increased over the past two decades. In many instances, clinicians agree that untreated psychiatric illness during the perinatal period is more dangerous than the risks imposed by continuing psychotherapeutic medication. We describe patterns of psychotherapeutic medication continuation and discontinuation during pregnancy in a large U.S. cohort.

METHODS

We assessed the relationship between the demographic and clinical characteristics of women who continued or discontinued psychotherapeutic medications-antidepressants, anxiolytics/sedatives, anticonvulsants, antipsychotics, mood stabilizers, and stimulants-during pregnancy. This study used data from 2008 to 2015 from the Medical Expenditure Panel Survey. We used t tests and Medical Expenditure Panel Survey Household Component longitudinal sampling weights in the analysis of this data.

RESULTS

There were few significant differences noted in clinical and demographic characteristics between women who continued and discontinued medications during pregnancy. Those who continued were less likely to be employed (46.95% of continuers were employed vs. 80.55% of discontinuers; p = .0053). Women taking antipsychotics were more likely to continue medications during pregnancy (64.60% continually used antipsychotics vs. 35.40% discontinued antipsychotics; p = .008), whereas women taking antidepressants were more likely to discontinue their use (19.62% continually used antidepressants vs. 80.38% discontinued antidepressants; p = .032). For each medication category, women resumed medication after pregnancy.

CONCLUSIONS

Antidepressants are the most commonly discontinued psychotherapeutic medication during pregnancy. We recommend further research examining factors that may influence this observed difference.

The Association of Hospital Magnet® Status and Pay-for-Performance Penalties

The Centers for Medicare and Medicaid Services' Pay-for-Performance (P4P) programs aim to improve hospital care through financial incentives for care quality and patient outcomes. Magnet^® recognition-a potential pathway for improving nurse work environments-is associated with better patient outcomes and P4P program scores, but whether these indicators of higher quality are substantial enough to avoid penalties and thereby impact hospital reimbursements is unknown. This cross-sectional study used a national sample of 2,860 hospitals to examine the relationship between hospital Magnet^® status and P4P penalties under P4P programs: Hospital Readmission Reduction Program, Hospital-Acquired Conditions (HAC) Reduction Program, Hospital Value-Based Purchasing (VBP) Program. Magnet^® hospitals were matched 1:1 with non-Magnet hospitals accounting for 13 organizational characteristics including hospital size and location. Post-match logistic regression models were used to compute a hospital's odds of penalties. In a national sample of hospitals, 77% of hospitals experienced P4P penalties. Magnet^® hospitals were less likely to be penalized in the VBP program compared to their matched non-Magnet counterparts (40% vs. 48%). Magnet^® status was associated with 30% lower odds of VBP penalties relative to non-Magnet hospitals. Lower P4P program penalties is one benefit associated with achieving Magnet^® status or otherwise maintaining high-quality nurse work environments.

Community socioeconomic disadvantage drives type of 30-day medical-surgical revisits among patients with serious mental illness

Background

Patients with serious mental illness (SMI) are vulnerable to medical-surgical readmissions and emergency department visits.

Methods

We studied 1,914,619 patients with SMI discharged after medical-surgical admissions in Florida and New York between 2012 and 2015 and their revisits to the hospital within 30 days of discharge.

Results

Patients with SMI from the most disadvantaged communities had greater adjusted 30-day revisit rates than patients from less disadvantaged communities. Among those that experienced a revisit, patients from the most disadvantaged communities had 7.3 % greater 30-day observation stay revisits.

Conclusions

These results suggest that additional investments are needed to ensure that patients with SMI from the most disadvantaged communities are receiving appropriate post-discharge care.

Supplementary Information

The online version contains supplementary material available at 10.1186/s12913-021-06605-y.

Relationship between rural hospital closures and the supply of nurse practitioners and certified registered nurse anesthetists

BACKGROUND

Reductions in primary care and specialist physicians follow rural hospital closures. As the supply of physicians declines, rural healthcare systems increasingly rely on nurse practitioners (NPs) and certified registered nurse anesthetists (CRNAs) to deliver care.

PURPOSE

We sought to examine the extent to which rural hospital closures are associated with changes in the NP and CRNA workforce.

METHOD

Using Area Health Resources Files (AHRF) data from 2010-2017, we used an event-study design to estimate the relationship between rural hospital closures and changes in the supply of NPs and CRNAs.

FINDINGS

Among 1,544 rural counties, we observed 151 hospital closures. After controlling for local market characteristics, we did not find a significant relationship between hospital closure and the supply of NPs and CRNAs.

DISCUSSION

We do not find evidence that NPs and CRNAs respond to rural hospital closures by leaving the healthcare market.

Psychiatric Medication Changes Associated With Increased Rate of Medical Readmissions in Patients With Serious Mental Illness

ABSTRACT

To identify the impact of postdischarge psychiatric medication changes on general medical readmissions among patients with serious mental illness (SMI; bipolar disorder, major depressive disorder, and schizophrenia), claims from a 5% national sample of Medicare fee-for-service (FFS) beneficiaries hospitalized between 2013 and 2016 were studied. A total of 165,490 Medicare FFS beneficiaries with SMI 18 years or older with at least 1 year of continuous Medicare enrollment were identified. Within 30 days of discharge from index admission, 47.4% experienced a psychiatric medication change-including 75,892 beneficiaries experiencing a deletion and 55,713 experiencing an addition. After adjusting for potential confounders, those with a medication change experienced an 10% increase in the odds of 30-day readmission (odds ratio, 1.10; SE, 0.019; p < 0.001). Comorbid drug use disorder was also associated with an increased odds of readmission after controlling for other covariates. These findings suggest important factors that clinicians should be aware of when discharging patients with SMI.

States Should Remove Barriers to Advanced Practice Registered Nurse Prescriptive Authority to Increase Access to Treatment for Opioid Use Disorder

In October 2018, President Trump signed into law H.R. 6, the Substance Use-Disorder Prevention that Promotes Opioid Recovery and Treatment for Patients and Communities Act. This piece of legislation addresses treatment, prevention, recovery, and enforcement with particular attention to access in rural areas. It contains numerous provisions to improve needed access to treat substance use disorders and especially opioid use disorder (OUD), including mandatory coverage of medications for OUD, partial elimination of Medicaid payment for inpatient mental health treatment, and state planning grants to increase provider capacity. Many of these provisions would be significantly enhanced by removing barriers to prescriptive authority for Advanced Practice Registered Nurses (APRNs), including Nurse Practitioners, Clinical Nurse Specialists, Certified Nurse Midwives, Certified Registered Nurse Anesthetists, and other state-specific titles for nurses whose scope allows the prescription of controlled substances. This policy brief includes a history of the role of APRNs in the delivery of medications for OUD, scope of practice restrictions related to prescriptive authority as a barrier in their ability to deliver care for this vulnerable population, and actionable strategies that APRNs can take to advocate for an increased role in providing care.

Surveying Primary Care Nurse Practitioners: An Overview of National Sampling Frames

Nurse practitioners (NPs) represent the fastest growing segment of the U.S. primary care workforce. Surveys of primary care NPs can help to better understand the care NPs deliver across different health care settings, the factors that impact NP job satisfaction and burnout, and the structural capabilities required to support their practice. The purpose of this article is to provide an overview of national sampling frames that can be used by researchers interested in surveying or studying the U.S. primary care NP workforce. We conducted an environmental scan and review of published literature on the NP workforce to identify data sources that can be used to sample primary care NPs. In this article, we (a) identify the data elements needed to develop an NP sampling frame and (b) describe national data sets that can be used to sample primary care NPs, including the strengths and weaknesses of each. This information is intended to facilitate research on the primary care NP workforce to inform practice and policy.

Practice Patterns, Work Environments, and Job Outcomes of Rural and Urban Primary Care Nurse Practitioners

As nurse practitioners (NPs) are increasingly relied on to deliver primary care in rural communities, it is critical to understand the contexts in which they work and whether they are characterized by work environments and infrastructures that facilitate the provision of high-quality patient care. This study compares urban and rural NPs using data from a survey of 1,244 primary care NPs in Arizona, California, New Jersey, Pennsylvania, Texas, and Washington. While rural and urban NPs have a number of similarities in terms of demographic characteristics, practice patterns, and job outcomes, they also have noteworthy differences. Rural NPs report higher levels of independent practice, fewer structural capabilities that facilitate quality care, and poorer relationships with physicians. Health care organizations in rural communities may need to invest in work environments and infrastructures that facilitate high-quality care and autonomous practice for NPs.

National Trends in Outpatient Mental Health Service Use Among Adults Between 2008 and 2015

OBJECTIVE

This study sought to characterize recent trends in mental health visits of adult outpatients to primary care physicians (PCPs), specialty mental health providers (SMHPs), and other providers (non-primary care physicians, specialists other than SMHPs, nurse practitioners, and physician assistants). Trends determined by degree of patients' psychological distress and in the types of treatments received within different settings were also examined.

METHODS

Data were from the household component of the nationally representative Medical Expenditure Panel Survey for the 2008-2011 and 2012-2015 periods for adults ages ≥18 years (N=13,111) who had a mental health outpatient visit. Bivariate logistic regression was used to compare means between the two periods.

RESULTS

The percentage of adults having mental health outpatient visits increased between the two periods, largely driven by an increase in visits with providers other than SMHPs and PCPs, which rose from 11.9% (N=667) to 15.5% (N=1,048). Outpatient mental health visits with PCPs decreased from 29.0% (N=1,802) to 26.8% (N=1,945). The proportion of respondents with mental health outpatient visits increased both among those with high psychological distress and among those with low or no psychological distress (from 30.7% [N=1,332] to 36.2% [N=1,491] and from 6.0% [N=4,516] to 6.9% [N=5,772], respectively). The percentage of respondents receiving only psychotropic medication decreased over the two periods.

CONCLUSIONS

Mental health outpatient visits for adults increased between 2008 and 2015, and visits with SMHPs remained relatively stable during that time. A greater understanding of recent trends in types of outpatient mental health services may help identify targets for future mental health workforce studies.

Substantial hospital level variation in all-cause readmission rates among medicare beneficiaries with serious mental illness

BACKGROUND

Patients with serious mental illness (i.e., SMI; bipolar disorder, major depressive disorder, and schizophrenia) are at increased risk of readmission, yet little is known about the extent to which readmission rates among these patients vary across hospitals. The purpose of this study was to examine the variation across hospitals in readmissions for patients with SMI and differences in the characteristics of hospitals with the highest and lowest adjusted readmission rates.

METHODS

We conducted a cross-sectional analysis of pooled inpatient claims from 2013-2016. Mixed logit models with hospital random effects were used to estimate the hospital-level variance. The sample included patients with SMI from a 5% sample of fee-for-service Medicare beneficiaries.

RESULTS

We identified 2066 hospitals with at least 30 index admissions for Medicare beneficiaries with SMI. In multivariate analyses, factors most strongly associated with increased risk of readmission included substance use disorder (OR 2.311; p < 0.001) and end stage renal disease (OR 2.024; p < 0.001). Unadjusted readmission for hospitals at the 5th and 95th percentiles of performance were 7.05% and 15.24%, respectively, constituting an 8.2% difference. Adjusting for patient and community characteristics reduced the spread in readmission rates between the 5th and 95th percentiles of hospitals by 1.0% (i.e. to 7.2%). Hospitals in the lowest vs. highest quintiles of adjusted readmission rates were more likely to be teaching hospitals (11.1% vs. 16.7%; p < 0.05) and located in the South (37.7% vs. 40.4%) or Midwest (19.8% vs. 30.0%; p < 0.001 for region differences).

CONCLUSIONS

There is substantial hospital-level variation in readmission rates among patients with serious mental illness, even after adjusting for patient and community characteristics. This has implications for policy guiding investment in hospital-based services and community resources, to improve transitions of care for patients with SMI.

Cooperation and conflict in intra-hospital transfers: A qualitative analysis

Aim

The purpose of this study was to explore the latent conditions of cooperation and conflict in intra-hospital patient transfers (i.e. transfers of patients between units in a hospital).

Design

Secondary qualitative analysis of 28 interviews conducted with 29 hospital staff, including physicians (N = 13), nurses (N = 10) and support staff (N = 6) from a single, large academic tertiary hospital in the Northeastern United States.

Methods

A two-member multidisciplinary team applied a directed content analysis approach to data collected from semi-structured interviews.

Results

Three recurrent themes were generated: (a) patient flow policies created imbalances of power; (b) relationships were helpful to facilitate safe transfers; and (c) method of admission order communication was a source of disagreement. Hospital quality improvement efforts could benefit from a teaming approach to minimize unintentional power imbalances and optimize communicative relationships between units.

Medical-surgical readmissions in patients with co-occurring serious mental illness: A systematic review and meta-analysis

OBJECTIVE

To estimate the relationship between comorbid serious mental illness (SMI) diagnosis and 30-day medical-surgical readmissions.

METHODS

In accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) we searched five databases (2012 to 2017) to identify relevant articles on the relationship between SMI diagnosis and readmissions. We used the National Institute of Health's Quality Appraisal Tool for Observational Cohort and Cross-Sectional Studies guidelines to appraise studies and assess risk of bias. Data were narratively synthesized and a pooled random effects unadjusted odds ratio was estimated using meta-analysis. Heterogeneity was investigated using subgroup analysis and meta-regression.

RESULTS

Our search yielded 424 articles after removing duplicates. Nine met inclusion criteria. All studies were retrospective observational cohort studies. The meta-analysis showed that people with SMI have greater odds of readmission than people without SMI (pooled OR 1.38, CI 1.23-1.56, I² = 98.6%). There was heterogeneity in patient cohorts, study methodology, and definition of SMI. No significant possibility of publication bias was detected (Classic fail-safe N = 3480).

CONCLUSION

There is a meaningful relationship between SMI diagnosis and medical-surgical readmissions. Given the prevalence of SMI in patients hospitalized for medical-surgical problems and the heterogeneity of evidence, further research on sources of variation in outcomes is critically needed.

A Systematic Review on Healthcare Analytics: Application and Theoretical Perspective of Data Mining

The growing healthcare industry is generating a large volume of useful data on patient demographics, treatment plans, payment, and insurance coverage—attracting the attention of clinicians and scientists alike. In recent years, a number of peer-reviewed articles have addressed different dimensions of data mining application in healthcare. However, the lack of a comprehensive and systematic narrative motivated us to construct a literature review on this topic. In this paper, we present a review of the literature on healthcare analytics using data mining and big data. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we conducted a database search between 2005 and 2016. Critical elements of the selected studies—healthcare sub-areas, data mining techniques, types of analytics, data, and data sources—were extracted to provide a systematic view of development in this field and possible future directions. We found that the existing literature mostly examines analytics in clinical and administrative decision-making. Use of human-generated data is predominant considering the wide adoption of Electronic Medical Record in clinical care. However, analytics based on website and social media data has been increasing in recent years. Lack of prescriptive analytics in practice and integration of domain expert knowledge in the decision-making process emphasizes the necessity of future research.

U.S. Hospital Employment of Foreign-Educated Nurses and Patient Experience: A Cross-Sectional Study

INTRODUCTION

For over half a century, hospitals in the United States have actively recruited foreign-educated nurses (FENs) in response to nurse shortages in hospitals and nursing homes. Little attention has been paid to the quality of care in the United States related to employment of FENs.

AIMS

The purpose of this retrospective study was to determine whether employment of FENs in U.S. hospitals is associated with patient care experience.

METHOD

This study used cross-sectional data from three sources in 425 hospitals in four large states to evaluate the relationship between patient perceptions of care and hospital employment of FENs. The study linked data from publicly reported patient experience of care surveys, nurse surveys, and administrative data using unique hospital identifiers common across the data sets.

RESULTS

Patient-reported care experience was found to be more negative in hospitals employing more FENs, after controls for other possible explanations. Each 10% increase in FENs was associated with a decrease in the percentage of patients who would recommend their hospital and a decrease in the percentage of patients giving favorable reports on five nursing-specific aspects of patient experience.

CONCLUSIONS

The results of this study suggest that employment of substantial numbers of nurses educated outside the United States may have implications for quality of care. The findings suggest that research on the outcomes of transition programs for FENs would be useful to inform regulatory policies.

Hospitals Known for Nursing Excellence Perform Better on Value Based Purchasing Measures

It is well-established that hospitals recognized for good nursing care - Magnet hospitals - are associated with better patient outcomes. Less is known about how Magnet hospitals compare to non-Magnets on quality measures linked to Medicare reimbursement. The purpose of this study was to determine how Magnet hospitals perform compared to matched non-Magnet hospitals on Hospital Value Based Purchasing (VBP) measures. A cross-sectional analysis of three linked data sources was performed. The sample included 3,021 non-federal acute care hospitals participating in the VBP program (323 Magnets; 2,698 non-Magnets). Propensity score matching was used to match Magnet and non-Magnet hospitals with similar hospital characteristics. After matching, linear and logistic regression models were used to examine the relationship between Magnet status and VBP performance. After matching and adjusting for hospital characteristics, Magnet recognition predicted higher scores on Total Performance (Regression Coefficient [RC] = 1.66, p < 0.05), Clinical Processes (RC = 3.85; p < 0.01), and Patient Experience (RC = 6.33; p < 0.001). The relationships between Magnet recognition and the Outcome and Efficiency domains were not statistically significant. Magnet hospitals known for nursing excellence perform better on Hospital VBP measures. As healthcare systems adapt to evolving incentives that reward value, attention to nurses at the front lines may be central to ensuring high-value care for patients.

Patient satisfaction and non-UK educated nurses: a cross-sectional observational study of English National Health Service Hospitals

OBJECTIVES

To examine whether patient satisfaction with nursing care in National Health Service (NHS) hospitals in England is associated with the proportion of non-UK educated nurses providing care.

DESIGN

Cross-sectional analysis using data from the 2010 NHS Adult Inpatient Survey merged with data from nurse and hospital administrator surveys. Logistic regression models with corrections for clustering were used to determine whether the proportions of non-UK educated nurses were significantly related to patient satisfaction before and after taking account of other hospital, nursing and patient characteristics.

SETTING

31 English NHS trusts.

PARTICIPANTS

12,506 patients 16 years of age and older with at least one overnight stay that completed a satisfaction survey; 2962 bedside care nurses who completed a nurse survey; and 31 NHS trusts.

MAIN OUTCOME MEASURE

Patient satisfaction.

RESULTS

The percentage of non-UK educated nurses providing bedside hospital care, which ranged from 1% to 52% of nurses, was significantly associated with patient satisfaction. After controlling for potential confounding factors, each 10-point increase in the percentage of non-UK educated nurses diminished the odds of patients reporting good or excellent care by 12% (OR=0.88), and decreased the odds of patients agreeing that they always had confidence and trust in nurses by 13% (OR=0.87). Other indicators of patient satisfaction also revealed lower satisfaction in hospitals with higher percentages of non-UK educated nurses.

CONCLUSIONS

Use of non-UK educated nurses in English NHS hospitals is associated with lower patient satisfaction. Importing nurses from abroad to substitute for domestically educated nurses may negatively impact quality of care.

Missed nursing care is linked to patient satisfaction: a cross-sectional study of US hospitals

BACKGROUND

As nurses are the principal care provider in the hospital setting, the completion or omission of nursing care is likely to have a sizable impact on the patient care experience. However, this relationship has not been explored empirically.

AIM

To describe the prevalence and patterns of missed nursing care and explore their relationship to the patient care experience.

METHODS

This cross-sectional study used secondary nurse and patient survey data from 409 adult non-federal acute care US hospitals in four states. Descriptive statistics were calculated and linear regression models were conducted at the hospital level. Regression models included controls for hospital structural characteristics.

RESULTS

In an average hospital, nurses missed 2.7 of 12 required care activities per shift. Three-fourths (73.4%) of nurses reported missing at least one activity on their last shift. This percentage ranged from 25 to 100 across hospitals. Nurses most commonly reported not being able to comfort or talk with patients (47.6%) and plan care (38.5%). 6 out of 10 patients rated hospitals highly. This proportion ranged from 33% to 90% across hospitals. At hospitals where nurses missed more care (1 SD higher=0.74 items), 2.2% fewer patients rated the hospital highly (p<0.001); a coefficient equivalent to a one-quarter SD change.

CONCLUSIONS

Missed nursing care is common in US hospitals and varies widely. Most patients rate their hospital care experience highly, but this also varies widely across hospitals. Patients have poorer care experiences in hospitals where more nurses miss required nursing care. Supporting nurses' ability to complete required care may optimise the patient care experience. As hospitals face changing reimbursement landscapes, ensuring adequate nursing resources should be a top priority.