Parental Moral Distress and Moral Schism in the Neonatal ICU

Ethical dilemmas in critical care may cause healthcare practitioners to experience moral distress: incoherence between what one believes to be best and what occurs. Given that paediatric decision-making typically involves parents, we propose that parents can also experience moral distress when faced with making value-laden decisions in the neonatal intensive care unit. We propose a new concept—that parents may experience “moral schism”—a genuine uncertainty regarding a value-based decision that is accompanied by emotional distress. Schism, unlike moral distress, is not caused by barriers to making and executing a decision that is deemed to be best by the decision-makers but rather an encounter of significant internal struggle. We explore factors that appear to contribute to both moral distress and “moral schism” for parents: the degree of available support, a sense of coherence of the situation, and a sense of responsibility. We propose that moral schism is an underappreciated concept that needs to be explicated and may be more prevalent than moral distress when exploring decision-making experiences for parents. We also suggest actions of healthcare providers that may help minimize parental “moral schism” and moral distress.     

Do the Preferences of Healthcare Provider Selection Vary among Rural and Urban Patients with Different Income and Cause Different Outcome?

BackgroundEqual access to healthcare facilities and high-level quality of care are important strategies to eliminate the disparity in outcome of care. However, the existing literature regarding how urban or rural dwelling patients with different income level select healthcare providers is insufficient. The purposes of this study were to examine whether differences of healthcare provider selection exist among urban and rural coronary artery bypass surgery (CABG) patients with different income level. If so, we further investigated the associated impact on mortality.MethodsA retrospective, multilevel study design was conducted using claims data from 2007–2011 Taiwan’s Universal Health Insurance Scheme. Healthcare providers’ performance and patients’ travelling distance to hospitals were used to define the patterns of healthcare provider selection. Baron and Kenny’s procedures for mediation effect were conducted.ResultsThere were 10,108 CABG surgeries included in this study. The results showed that urban dwelling and higher income patients were prone to receive care from better-performance providers. The travelling distances of urban dwelling patients was 15 KM shorter, especially when they received better-performance provider’s care. The results also showed that the difference of healthcare provider selection and mortality rate existed between rural and urban dwelling patients with different income levels. After the procedure of mediation effect testing, the results showed that the healthcare provider selection partially mediated the relationships between patients’ residential areas with different income levels and 30-day mortality.ConclusionPreferences of healthcare provider selection vary among rural and urban patients with different income, and such differences partially mediated the outcome of care. Health authorities should pay attention to this issue, and propose appropriate solutions to eliminate the disparity in outcome of CABG care.     

Quality Indicators for Continuous Monitoring to Improve Maternal and Infant Health in Maternity Departments: A Modified Delphi Survey of an International Multidisciplinary Panel

Objective

Measuring the quality of inpatient obstetrical care using quality indicators is becoming increasingly important for both patients and healthcare providers. However, there is no consensus about which measures are optimal. We describe a modified Delphi method to identify a set of indicators for continuously monitoring the quality of maternity care by healthcare professionals.

Methodology and Main Findings

An international French-speaking multidisciplinary panel comprising 22 obstetricians-gynaecologists, 12 midwives, and 1 paediatrician assessed potential indicators extracted from a medical literature search, using a two-round Delphi procedure followed by a physical meeting. Each panellist rated each indicator based on validity and feasibility. In the first round, 35 panellists from 5 countries and 20 maternity units evaluated 26 indicators including 15 related to the management of the overall population of pregnant women, 3 to the management of women followed from the first trimester of pregnancy, 2 to the management of low-risk pregnant women, and 6 to the management of neonates. 25 quality indicators were kept for next step. In the second round, 27 (27/35: 77%) panellists selected 17 indicators; the remaining 8 indicators were discussed during a physical meeting. The final set comprised 18 indicators.

Conclusion

A multidisciplinary panel selected indicators that reflect the quality of obstetrical care. This set of indicators could be used to assess and monitor obstetrical care, with the goal of improving the quality of care in maternity units.     

Balancing competing interests and obligations in mental health‐care practice and policy

It is often challenging for mental health‐care providers and health organizations to perform their various roles and to meet their varied obligations. In complex mental health‐care circumstances the concurrent application of relevant ethical principles and values often leads to the emergence of completing obligations that need to be carefully weighed and balanced in the making of care‐related decisions. Although some clinical circumstances, such as those potentially triggering the duty to warn, are adequately guided by existing rules based on legal precedents, there is a gap in decision‐making support in other mental health‐care domains. This article proposes that a set of targeted, decision‐making approaches be developed to assist in the handling of specific, challenging circumstances. By way of illustration, two novel approaches are introduced; that is, choosing to work within a moral relational space of optimal therapeutic engagement (at the micro level of clinical practice), and the use of a health policy development approach that instantiates deliberative engagement (at the meso and macro levels of health organization).     

区域性医疗质量管理指标体系构建研究

目的 构建适应以政府主管部门或第三方专业医疗质量评价机构为应用主体,满足开展区域性医疗质量管理需要的医疗质量管理指标体系。方法 基于目前政策导向,采用定性与定量方法对指标进行筛选及试点应用。结果 该指标体系由8个一级指标类构成,含33个指标：诊疗水平（2个）、诊疗效率（2个）、诊疗措施相关（2个）、住院患者死亡（4个）、医院感染（7个）,并发症（6个）、重返类（3个）、安全事件（7个）。结论 指标体系需根据现实情况定期更新,以引导医疗机构的医疗质量持续改进。     

The profile inter-unit reliability

To assess the quality of health care, patient outcomes associated with medical providers (eg, dialysis facilities) are routinely monitored in order to identify poor (or excellent) provider performance. Given the high stakes of such evaluations for payment as well as public reporting of quality, it is important to assess the reliability of quality measures. A commonly used metric is the inter-unit reliability (IUR), which is the proportion of variation in the measure that comes from inter-provider differences. Despite its wide use, however, the size of the IUR has little to do with the usefulness of the measure for profiling extreme outcomes. A large IUR can signal the need for further risk adjustment to account for differences between patients treated by different providers, while even measures with an IUR close to zero can be useful for identifying extreme providers. To address these limitations, we propose an alternative measure of reliability, which assesses more directly the value of a quality measure in identifying (or profiling) providers with extreme outcomes. The resulting metric reflects the extent to which the profiling status is consistent over repeated measurements. We use national dialysis data to examine this approach on various measures of dialysis facilities.     

Accuracy‐driven loci selection and assignment of individuals

We present two programs: gafs for optimal selection of loci for use in individual assignment tests, and mlc , a program for individual classification using maximum likelihood and k‐nearest neighbour decision rules. gafs software employs a genetic algorithm to heuristically search multilocus subsets with several objective functions to maximize predictive accuracy of the assignments.     

Health System Challenges in Organizing Quality Diabetes Care for Urban Poor in South India

Background

Weak health systems in low- and middle-income countries are recognized as the major constraint in responding to the rising burden of chronic conditions. Despite recognition by global actors for the need for research on health systems, little attention has been given to the role played by local health systems. We aim to analyze a mixed local health system to identify the main challenges in delivering quality care for diabetes mellitus type 2.

Methods

We used the health system dynamics framework to analyze a health system in KG Halli, a poor urban neighborhood in South India. We conducted semi-structured interviews with healthcare providers located in and around the neighborhood who provide care to diabetes patients: three specialist and 13 non-specialist doctors, two pharmacists, and one laboratory technician. Observations at the health facilities were recorded in a field diary. Data were analyzed through thematic analysis.

Result

There is a lack of functional referral systems and a considerable overlap in provision of outpatient care for diabetes across the different levels of healthcare services in KG Halli. Inadequate use of patients’ medical records and lack of standard treatment protocols affect clinical decision-making. The poor regulation of the private sector, poor systemic coordination across healthcare providers and healthcare delivery platforms, widespread practice of bribery and absence of formal grievance redress platforms affect effective leadership and governance. There appears to be a trust deficit among patients and healthcare providers. The private sector, with a majority of healthcare providers lacking adequate training, operates to maximize profit, and healthcare for the poor is at best seen as charity.

Conclusions

Systemic impediments in local health systems hinder the delivery of quality diabetes care to the urban poor. There is an urgent need to address these weaknesses in order to improve care for diabetes and other chronic conditions.     

Using Data-Driven Rules to Predict Mortality in Severe Community Acquired Pneumonia

Prediction of patient-centered outcomes in hospitals is useful for performance benchmarking, resource allocation, and guidance regarding active treatment and withdrawal of care. Yet, their use by clinicians is limited by the complexity of available tools and amount of data required. We propose to use Disjunctive Normal Forms as a novel approach to predict hospital and 90-day mortality from instance-based patient data, comprising demographic, genetic, and physiologic information in a large cohort of patients admitted with severe community acquired pneumonia. We develop two algorithms to efficiently learn Disjunctive Normal Forms, which yield easy-to-interpret rules that explicitly map data to the outcome of interest. Disjunctive Normal Forms achieve higher prediction performance quality compared to a set of state-of-the-art machine learning models, and unveils insights unavailable with standard methods. Disjunctive Normal Forms constitute an intuitive set of prediction rules that could be easily implemented to predict outcomes and guide criteria-based clinical decision making and clinical trial execution, and thus of greater practical usefulness than currently available prediction tools. The Java implementation of the tool JavaDNF will be publicly available.     

Improving benchmarking by using an explicit framework for the development of composite indicators: an example using pediatric quality of care

Background

The measurement of healthcare provider performance is becoming more widespread. Physicians have been guarded about performance measurement, in part because the methodology for comparative measurement of care quality is underdeveloped. Comprehensive quality improvement will require comprehensive measurement, implying the aggregation of multiple quality metrics into composite indicators.

Objective

To present a conceptual framework to develop comprehensive, robust, and transparent composite indicators of pediatric care quality, and to highlight aspects specific to quality measurement in children.

Methods

We reviewed the scientific literature on composite indicator development, health systems, and quality measurement in the pediatric healthcare setting. Frameworks were selected for explicitness and applicability to a hospital-based measurement system.

Results

We synthesized various frameworks into a comprehensive model for the development of composite indicators of quality of care. Among its key premises, the model proposes identifying structural, process, and outcome metrics for each of the Institute of Medicine's six domains of quality (safety, effectiveness, efficiency, patient-centeredness, timeliness, and equity) and presents a step-by-step framework for embedding the quality of care measurement model into composite indicator development.

Conclusions

The framework presented offers researchers an explicit path to composite indicator development. Without a scientifically robust and comprehensive approach to measurement of the quality of healthcare, performance measurement will ultimately fail to achieve its quality improvement goals.

     

Making secular ‘French’ medical ethics: transcendent morality and patient subjectivities in southern French hospitals

Drawing on ethnographic fieldwork with physicians and nurses working in two state-funded southern French hospitals, this article explores why and how medical care providers connected their everyday deliberations about patient care to what they considered to be distinctively French forms of medical responsibility. Many healthcare professionals saw French medical morality in opposition to ‘Anglo-Saxon’ discourses of individual autonomy and transactional choice. In contrast to such ‘transactionalism’, they insisted that ‘French’ ethics required limits that transcended particular circumstances. And yet it was difficult for doctors and nurses working in secular and increasingly neoliberal hospitals to argue against individual transactionalism in an overtly moral register, one that might appear religious and paternalist. Through a close look at two different cases – one in assisted reproduction and one in palliative care – I show how the language of folk psychoanalysis provided some health professionals with a way out of this impasse. Care providers used pseudo-psychoanalytic accounts of patient subjectivities to depict individuals as incapable of knowing, let alone ‘owning’ or rationally mastering, themselves. This, in turn, suggests that some aspects of French secularity may be far less Protestant and liberal than contemporary anthropological work tends to assume.     

综合医院社区获得性肺炎住院诊疗的过程质量分析

目的 分析上海市浦东新区区属公立综合医院社区获得性肺炎（CAP）住院诊疗的过程质量。 方法 根据国家卫生和计划生育委员会对社区获得性肺炎（CAP）质量控制的要求,对浦东新区7所区属公立综合医院随机抽取的151份CAP病案进行评价。 结果 浦东新区区属公立综合性医院社区获得性肺炎（CAP）住院诊疗基本符合我国卫生和计生委对社区获得性肺炎（CAP）质量控制的要求;但在检查规范性和抗菌药物合理使用方面,三级医院、北区二级医院和南区二级医院表现不一。 结论 浦东新区卫生行政部门和医院应进一步加强社区获得性肺炎（CAP）质量控制,改进检查和抗菌药物使用。     

Stakeholder Engagement to Identify Priorities for Improving the Quality and Value of Critical Care

BackgroundLarge amounts of scientific evidence are generated, but not implemented into patient care (the ‘knowledge-to-care’ gap). We identified and prioritized knowledge-to-care gaps in critical care as opportunities to improve the quality and value of healthcare.MethodsWe used a multi-method community-based participatory research approach to engage a Network of all adult (n = 14) and pediatric (n = 2) medical-surgical intensive care units (ICUs) in a fully integrated geographically defined healthcare system serving 4 million residents. Participants included Network oversight committee members (n = 38) and frontline providers (n = 1,790). Network committee members used a modified RAND/University of California Appropriateness Methodology, to serially propose, rate (validated 9 point scale) and revise potential knowledge-to-care gaps as priorities for improvement. The priorities were sent to frontline providers for evaluation. Results were relayed back to all frontline providers for feedback.ResultsInitially, 68 knowledge-to-care gaps were proposed, rated and revised by the committee (n = 32 participants) over 3 rounds of review and resulted in 13 proposed priorities for improvement. Then, 1,103 providers (62% response rate) evaluated the priorities, and rated 9 as ‘necessary’ (median score 7–9). Several factors were associated with rating priorities as necessary in multivariable logistic regression, related to the provider (experience, teaching status of ICU) and topic (strength of supporting evidence, potential to benefit the patient, potential to improve patient/family experience, potential to decrease costs).ConclusionsA community-based participatory research approach engaged a diverse group of stakeholders to identify 9 priorities for improving the quality and value of critical care. The approach was time and cost efficient and could serve as a model to prioritize areas for research quality improvement across other settings.     

Open Access to essential health care information

Open Access publishing is a valuable resource for the synthesis and distribution of essential health care information. This article discusses the potential benefits of Open Access, specifically in terms of Low and Middle Income (LAMI) countries in which there is currently a lack of informed health care providers - mainly a consequence of poor availability to information. We propose that without copyright restrictions, Open Access facilitates distribution of the most relevant research and health care information. Furthermore, we suggest that the technology and infrastructure that has been put in place for Open Access could be used to publish download-able manuals, guides or basic handbooks created by healthcare providers in LAMI countries.     

Inhospitable Healthcare Spaces: Why Diversity Training on LGBTQIA Issues Is Not Enough

In an effort to address healthcare disparities in lesbian, gay, bisexual, transgender, and queer (LGBTQ) populations, many hospitals and clinics institute diversity training meant to increase providers’ awareness of and sensitivity to this patient population. Despite these efforts, many healthcare spaces remain inhospitable to LGBTQ patients and their loved ones. Even in the absence of overt forms of discrimination, LGBTQ patients report feeling anxious, unwelcome, ashamed, and distrustful in healthcare encounters. We argue that these negative experiences are produced by a variety of subtle, ostensibly insignificant features of healthcare spaces and interpersonal interactions called microaggressions. Healthcare spaces and providers often convey heteronormative microaggressions, which communicate to LGBTQ—and, we suggest, intersex and asexual (IA)—people that their identities, experiences, and relationships are abnormal, pathological, unexpected, unwelcome, or shameful. We identify heteronormative microaggressions common to healthcare settings and specify how they negatively impact LGBTQIA patients. We argue that standard diversity training cannot sufficiently address heteronormative microaggressions. Despite these challenges, healthcare institutions and providers must take responsibility for heteronormative microaggressions and take steps to reduce their frequency and mitigate their effects on LGBTQIA care. We conclude by offering strategies for problem-solving at the level of medical education, institutional culture and policy, and individual awareness.     

Assessment of the Quality of Antenatal Care Services Provided by Health Workers Using a Mobile Phone Decision Support Application in Northern Nigeria: A Pre/Post-Intervention Study

BackgroundGiven the shortage of skilled healthcare providers in Nigeria, frontline community health extension workers (CHEWs) are commonly tasked with providing maternal and child health services at primary health centers. In 2012, we introduced a mobile case management and decision support application in twenty primary health centers in northern Nigeria, and conducted a pre-test/post-test study to assess whether the introduction of the app had an effect on the quality of antenatal care services provided by this lower-level cadre.MethodsUsing the CommCare mobile platform, the app dynamically guides CHEWs through antenatal care protocols and collects client data in real time. Thirteen health education audio clips are also embedded in the app for improving and standardizing client counseling. To detect changes in quality, we developed an evidence-based quality score consisting of 25 indicators, and conducted a total of 266 client exit interviews. We analyzed baseline and endline data to assess changes in the overall quality score as well as changes in the provision of key elements of antenatal care.ResultsOverall, the quality score increased from 13.3 at baseline to 17.2 at endline (p<0.0001), out of a total possible score of 25, with the most significant improvements related to health counseling, technical services provided, and quality of health education.ConclusionThese study results suggest that the introduction of a low-cost mobile case management and decision support application can spur behavior change and improve the quality of services provided by a lower level cadre of healthcare workers. Future research should employ a more rigorous experimental design to explore potential longer-term effects on client health outcomes.     

The cost of universal health care in India: a model based estimate

Introduction

As high out-of-pocket healthcare expenses pose heavy financial burden on the families, Government of India is considering a variety of financing and delivery options to universalize health care services. Hence, an estimate of the cost of delivering universal health care services is needed.

Methods

We developed a model to estimate recurrent and annual costs for providing health services through a mix of public and private providers in Chandigarh located in northern India. Necessary health services required to deliver good quality care were defined by the Indian Public Health Standards. National Sample Survey data was utilized to estimate disease burden. In addition, morbidity and treatment data was collected from two secondary and two tertiary care hospitals. The unit cost of treatment was estimated from the published literature. For diseases where data on treatment cost was not available, we collected data on standard treatment protocols and cost of care from local health providers.

Results

We estimate that the cost of universal health care delivery through the existing mix of public and private health institutions would be INR 1713 (USD 38, 95%CI USD 18–73) per person per annum in India. This cost would be 24% higher, if branded drugs are used. Extrapolation of these costs to entire country indicates that Indian government needs to spend 3.8% (2.1%–6.8%) of the GDP for universalizing health care services.

Conclusion

The cost of universal health care delivered through a combination of public and private providers is estimated to be INR 1713 per capita per year in India. Important issues such as delivery strategy for ensuring quality, reducing inequities in access, and managing the growth of health care demand need be explored.     

基于住院病案首页数据的医院综合评估框架构建

研究基于住院病案首页信息,以原卫生部重点监测病种和手术作为切入点,从医院的医疗能力、医疗质量和运行效率的三个角度,设计了医院综合评估指标体系框架。根据综合评估框架,进一步计算了各类评估指标和相应权重分数,用于统计模型的多层综合加权。创建的方法能够客观、合理地综合评估医院的总体情况,以及比较不同医院的医疗质量。     

Input data quality control for NDNQI national comparative statistics and quarterly reports: A contrast of three robust scale estimators for multiple outlier detection

ABSTRACT: BACKGROUND: To evaluate institutional nursing care performance in the context of national comparative statistics (benchmarks), approximately one in every three major healthcare institutions (over 1,800 hospitals) across the United States, have joined the National Database for Nursing Quality Indicators[REGISTERED SIGN] (NDNQI[REGISTERED SIGN]). With over 18,000 hospital units contributing data for nearly 200 quantitative measures at present, a reliable and efficient input data screening for all quantitative measures for data quality control is critical to the integrity, validity, and on-time delivery of NDNQI reports. METHODS: With Monte Carlo simulation and quantitative NDNQI indicator examples, we compared two ad-hoc methods using robust scale estimators, Inter Quartile Range (IQR) and Median Absolute Deviation from the Median (MAD), to the classic, theoretically-based Minimum Covariance Determinant (FAST-MCD) approach, for initial univariate outlier detection. RESULTS: While the theoretically based FAST-MCD used in one dimension can be sensitive and is better suited for identifying groups of outliers because of its high breakdown point, the ad-hoc IQR and MAD approaches are fast, easy to implement, and could be more robust and efficient, depending on the distributional property of the underlying measure of interest. CONCLUSION: With highly skewed distributions for most NDNQI indicators within a short data screen window, the FAST-MCD approach, when used in one dimensional raw data setting, could overestimate the false alarm rates for potential outliers than the IQR and MAD with the same pre-set of critical value, thus, overburden data quality control at both the data entry and administrative ends in our setting.