Liana Woskie is an Assistant Professor in the Department of Community Health at Tufts University and an Adjunct Assistant Professor of Health Services, Policy and Practice at the Brown University School of Public Health. Liana evaluates health system performance and the degree to which systems are held accountable to patients. Her dissertation (not yet published) provides the first quantification of a World Health Organization human rights framework on eliminating coercive female sterilization. She generates contemporary estimates of the prevalence and drivers of uninformed tubal ligation and uses quasi-experimental methods to assess health policies that effect female sterilization practice patterns. Her project: "Quantifying Structural Violence: Female Sterilization and Normalized State Repression in Healthcare," was awarded a H. F. Guggenheim Emerging Scholar Award for research on causes and manifestations of violence against women and the Horowitz Foundation Trustees' Award for most innovative approach to theory and/or methodology.
Question: How did obstetric-related Emergency Medical Treatment and Labor Act (EMTALA) violations change in association with state-level abortion policy?
Findings: In this difference-in-differences analysis of EMTALA violations from 2018 to the first quarter of 2023, states with no health exceptions saw a substantial rise in obstetric-related violations that were associated with policies adopted by Texas. There was a concurrent rise in emergency department utilization, and screening failures suggest that violations may have increasingly occurred on arrival before treatment.
Meaning: The study results suggest that state abortion laws may undermine federally protected care in obstetric emergencies.
In this piece we examine three forms of coercive or otherwise involuntary care that can occur with patient consent. To do so, we examine: (1) uninformed consent, (2) contingency-based consent and (3) constrained-market consent, amongst female sterilization patients. While there is broad recognition that “coercion” in sterilization care can manifest beyond instances of overt force and clarity on what constitutes coercion within clinical care, this has not translated to accountability. The current practice of identifying coercion through discrete civil cases may facilitate a narrow understanding of its contemporary prevalence; one that does not align with definitions of coercion supported by international human rights entities. We use three acute, and widely recognized, examples—hysterectomies in ICE detention facilities, India’s sterilization camp deaths and birth control quotas for Uyghur women—as an entry point to highlight less overt contemporary forms of coercive sterilization care, pairing each example with data that explores prevalence at a broader population level. These data suggest less visible forms of coercion may persist relatively unchallenged—raising the ethical case for a functional approach to the measurement of coercion. In turn, we argue the relevant question may not be “when is coercion ethically justified in public health,” but rather, why is coercion already the status quo?
Repeated Supreme Court cases suggest uninformed sterilization care is a persistent and contemporary issue in India. This article examines patient satisfaction ratings as a potential accountability mechanism to assess normalized forms of coercion. With a sample of over 180,000 sterilized women in India, it identifies a statistically significant relationship between exposure to coercive care and odds of reporting low quality. However, over 95 percent of women who underwent a tubal ligation procedure rated their care highly even when provided with inadequate information (a recognized form of coercion), with more pronounced discordance when a patient belonged to a historically marginalized caste. System-modifiable factors, such as conditional cash transfers (CCT) to the patient and postpartum procedure timing increased reporting discordance. Using a reproductive justice lens and building on Amartya Sen’s capabilities approach, this work examines how to identify human rights violations in the routine delivery of care.
Repeated Supreme Court cases suggest uninformed sterilization care is a persistent and contemporary issue in India. This article examines patient satisfaction ratings as a potential accountability mechanism to assess normalized forms of coercion. With a sample of over 180,000 sterilized women in India, it identifies a statistically significant relationship between exposure to coercive care and odds of reporting low quality. However, over 95 percent of women who underwent a tubal ligation procedure rated their care highly even when provided with inadequate information (a recognized form of coercion), with more pronounced discordance when a patient belonged to a historically marginalized caste. System-modifiable factors, such as conditional cash transfers (CCT) to the patient and postpartum procedure timing increased reporting discordance. Using a reproductive justice lens and building on Amartya Sen’s capabilities approach, this work examines how to identify human rights violations in the routine delivery of care.
In contrast to bilateral aid, aid disbursed from multilateral institutions increased significantly at the onset of the COVID-19 pandemic. Yet, at a time when a coherent and effective multilateral response is needed most, the COVID-19 pandemic revealed a shifting landscape of donor agencies that struggle with basic functions, such as cross-national coordination. While multilaterals are uniquely positioned to transcend national priorities and respond to pandemics, functionally we find official development assistance (ODA) from these entities may increasingly mimic the attributes of bilateral aid. We explore three important, but not comprehensive, attributes of aid leading up to and during the COVID-19 pandemic: (1) earmarking, (2) donor concentration and (3) aid modality.
Using satisfaction ratings without nuanced approaches in value-based purchasing programmes may mask poor-quality interpersonal services, particularly for historically marginalized patients. Surveys should be designed to accurately capture true levels of dissatisfaction, ensuring that patient concerns are not hidden.