Health care provider reporting practices related to self-managed abortion.

BACKGROUND: Health care providers reporting patients to government authorities is a main way people attempting self-managed abortion (SMA) become exposed to legal risks. Little is known about health care provider decision-making regarding SMA reporting. METHODS: We conducted semi-structured interviews with 37 clinicians who provided care in hospital-based obstetrics or emergency departments (13 obstetricians/gynecologists, two advance practice registered nurses providing obstetrics care, 12 emergency medicine physicians, and 10 family medicine physicians) throughout the United States. The interview guide asked participants to describe one or more cases of caring for a patient who may have attempted SMA and about related reporting decisions. We coded responses to answer two questions: What comes to mind for health care providers when asked to think about experiences caring for a patient who may have attempted SMA? Based on health care provider experiences, how might people who providers suspect may have attempted SMA end up reported? RESULTS: About half of participants had cared for someone who may have attempted SMA for that pregnancy. Only two mentioned SMA with misoprostol. Most participants described cases where they were unsure whether the patient had attempted to end their pregnancy on purpose. In most instances, participants mentioned that that the possibility of reporting never occurred to them nor came up. In some cases, participants described a reporting "adjacent" practice - e.g. beginning processes that could lead to substance use, domestic violence, or self-injury/suicide-related reports - or considered reporting related to a perceived need to report abortion complications. In two cases, hospital staff reported to the police and/or Child Protective Services related to the SMA attempt. These involved passing of a fetus after 20 weeks outside the hospital and a domestic violence incident. CONCLUSION: Reporting patients who may have attempted SMA may occur via provider perception of a need to report abortion complications and fetal demises, particularly at later gestations, and other reporting requirements (e.g. substance use, domestic violence, child maltreatment, suicide/self-harm).

Reaching Consensus on Politicized Topics: A Convening of Public Health Professionals to Discuss Appropriate Abortion Activities for US Health Departments.

CONTEXT: Public health professionals, particularly those in state and local health departments, do not always have clear understandings of their roles related to politically controversial public health topics. A process of consensus development among public health professionals that considers the best available evidence may be able to guide decision making and lay out an appropriate course of action. APPROACH: In May 2020, a group of maternal and child health and family planning professionals working in health departments, representatives of schools of public health, and members of affiliated organizations convened to explore values and principles relevant to health departments' engagement in abortion and delineate activities related to abortion that are appropriate for health departments. The convening followed a structured consensus process that included multiple rounds of input and opportunities for feedback and revisions. OUTCOMES: Convening participants came to consensus on principles to guide engagement in activities related to abortion, a set of activities related to abortion that are appropriate for health departments, and next steps to support implementation of such activities. LESSONS LEARNED: The experience of the convening indicates that consensus processes can be feasible for politically controversial public health topics such as abortion.

Lessons Learned from Implementing a Place-Based, Racial Justice-Centered Approach to Health Equity.

PURPOSE: As theories about the causes of racial inequities in infant mortality evolve, they are becoming increasingly complex. Interventions to address these inequities must be similarly complex, incorporating both upstream and downstream approaches. DESCRIPTION: The Best Babies Zone Initiative (BBZ) has been in operation since 2012 with an aim of reducing racial inequities in infant mortality. BBZ is designed to be flexible and responsive to the conditions creating toxic stress in communities of color. After seven years of operation in nine sites across the United States, and interventions implemented in housing, economic, and environmental justice, the Initiative has identified strategies to support the development and advancement of aligned programs. ASSESSMENT: Lessons learned and opportunities were identified across the Initiative's theoretical foundation (the life course perspective) and each of the four foundational strategies: place-based, community-driven, multi-sector work that contributes to broader social movements. Overarching lessons learned about advancing equity in MCH were identified including: the need to focus explicitly on racial equity, the imperative of shifting the time horizon for change, and the importance of identifying sustainable funding mechanisms. CONCLUSION: A complex initiative such as BBZ is relatively nascent in the field of Maternal and Child Health. However it represents an innovative approach to building community power and fostering strategic organizational partnerships in service of addressing root causes of racial inequities in birth outcomes. The lessons learned and opportunities identified by BBZ can serve as a foundation from which to build other programs and initiatives to advance racial justice.

Therapeutic duplication of anticoagulants: a retrospective study of frequency and consequences in a tertiary referral hospital.

BACKGROUND: Anticoagulants are commonly prescribed in medical practices and could be of significant harm in the case of medication errors. We conducted a retrospective observational study to determine the frequency and consequences of the therapeutic duplication of anticoagulants (TDA). As a secondary objective, we aimed to determine the characteristics of the population in which TDA occurs. METHODS: We conducted a retrospective observational study among admitted patients who concomitantly received at least two anticoagulants from August 2017 to August 2018. RESULTS: A total of 107 patients with TDA are included in the research. The patients with TDA have a mean age of 73. The TDA population has a high rate of associated comorbidities with 69% of patients having arterial hypertonia, 40% with chronic kidney disease, 26% with a history of malignancy, and 20.5% with a history of stroke. More than 65% of patients were under anticoagulation before admission, mostly due to atrial fibrillation. The TDA occurred in more than 95% of cases in the first week or the last week of hospitalization. Patients had a high risk of bleeding prior to the TDA-event with about 62.5% of TDA patients having a HAS-BLED score at least 3. A total of 8 patients showed a significant Hemoglobin (Hb)-drop of at least 10 g/L within 24 h after TDA-event. Two patients had a new or worsened hematuria following TDA-event. CONCLUSION: TDA occurred in 0.8% of patients who were under anticoagulation and in 6.7% of patients who received direct oral anticoagulants (DOACs). TDA led in about 7.4% of cases to hemoglobin-relevant bleeding. The old patients with significant comorbidities and a high HAS-BLED score were mainly affected. The female gender and presence of anemia independently predicted the occurrence of bleeding following TDA.

NR4A1 (Nur77) deletion polarizes macrophages toward an inflammatory phenotype and increases atherosclerosis.

RATIONALE: NR4A1 (Nur77) is a nuclear receptor that is expressed in macrophages and within atherosclerotic lesions, yet its function in atherosclerosis is unknown. OBJECTIVE: Nur77 regulates the development of monocytes, particularly patrolling Ly6C(-) monocytes that may be involved in resolution of inflammation. We sought to determine how absence of nuclear receptor subfamily 4, group A, member 1 (NR4A1) in hematopoietic cells affected atherosclerosis development. METHODS AND RESULTS: Nur77(-/-) chimeric mice on a Ldlr(-/-) background showed a 3-fold increase in atherosclerosis development when fed a Western diet for 20 weeks, despite having a drastic reduction in Ly6C(-) patrolling monocytes. In a second model, mice deficient in both Nur77 and ApoE (ApoE(-/-)Nur77(-/-)) also showed increased atherosclerosis after 11 weeks of Western diet. Atherosclerosis was associated with a significant change in macrophage polarization toward a proinflammatory phenotype, with high expression of tumor necrosis factor-α and nitric oxide and low expression of Arginase-I. Moreover, we found increased expression of toll-like receptor 4 mRNA and protein in Nur77(-/-) macrophages as well as increased phosphorylation of the p65 subunit of NFκB. Inhibition of NFκB activity blocked excess activation of Nur77(-/-) macrophages. CONCLUSIONS: We conclude that the absence of Nur77 in monocytes and macrophages results in enhanced toll-like receptor signaling and polarization of macrophages toward a proinflammatory M1 phenotype. Despite having fewer monocytes, Nur77(-/-) mice developed significant atherosclerosis when fed a Western diet. These studies indicate that Nur77 is a novel target for modulating the inflammatory phenotype of monocytes and macrophages and may be important for regulation of atherogenesis.

Impact of clinical decision support guidelines on therapeutic drug monitoring of gentamicin in newborns.

BACKGROUND: Our institution's gentamicin dosing and therapeutic drug monitoring (TDM) practices for newborns were suspected to be very heterogeneous. Once-daily dosing (ODD) or extended-interval dosing (EID) and trough concentration measurement were recommended. Clinical decision support guidelines were developed and implemented as clinical decision support in the computerized prescriber order entry system. Impact on dosing, TDM practices, and blood sampling were evaluated. METHODS: A 1-year retrospective historically controlled study before (April 2008-March 2009) and after the implementation of guidelines (January 2010-December 2010) for newborns (<30 days of life) receiving gentamicin. Blood concentrations (% of peak concentrations sampled, % of patients with zero or one concentration sampled, % of trough concentrations ≤1 mg/L) and dose regimen (ODD/EID) were compared between groups. Factors potentially associated with gentamicin concentration were analyzed (multivariate analysis). RESULTS: One hundred thirty-two (postguidelines) versus 102 (preguidelines) patients were included (median gestational age: 34.3 versus 35.8 weeks, P > 0.05). After implementation of the guidelines, an ODD/EID regimen was almost exclusively used (97.7% versus 61.6%, P < 0.001), the percentage of peak concentrations (0.9% versus 17.2%, P < 0.001) and the number of blood samples per patient (87.1% having 0 or 1 concentration measured versus 48.0, P < 0.001) sharply reduced. A significantly higher percentage of trough concentrations were ≤1 mg/L (68.5% versus 33.0%, P < 0.001). The probability of a trough concentration ≤1 mg/L increased with an ODD/EID regimen (odds ratio, 7.23; 95% confidence interval: 3.48-15.0, P < 0.001) and in the postguidelines group (odds ratio, 2.02; 95% confidence interval: 1.01-4.02, P = 0.045). CONCLUSIONS: Guideline implementation generated a sharp reduction in blood sampling. Clinical benefits of better gentamicin dosing and TDM practices were evident. Cost-effectiveness and clinical benefit of reduced blood sampling should be evaluated.

Impact of pharmacist-evaluated clinical decision support system alerts on potentially missing or inappropriately prescribed proton pump inhibitors at hospital discharge: a retrospective cross-sectional study.

BACKGROUND: Proton pump inhibitors (PPIs) are among the most prescribed drugs. A clinical decision support system (CDSS) could improve their rational use. AIM: The impact of an electronic algorithm (e-algorithm) implemented in a CDSS on potentially missing or inappropriately prescribed PPIs at hospital discharge, its specificity and sensitivity, and the outcome of the alerts issued were analysed. METHOD: An e-algorithm continuously monitored patients of a tertiary care hospital for missing or inappropriate PPIs. Following relevance assessment by a pharmacist, the alerts raised were either displayed in the patients' electronic record or dismissed. After a three-month period, all adult patients' records were retrospectively reviewed for missing or inappropriate PPIs at discharge. The results were compared with a corresponding period before CDSS introduction. Sensitivity, specificity and outcome of alerts were quantified. RESULTS: In a 3-month period with 5018 patients, the CDSS created 158 alerts for missing PPIs and 464 alerts for inappropriate PPIs. PPI prescribing was proposed 81 times and PPI termination 122 times, with acceptance rates of 73% and 34%, respectively. A specificity of 99.4% and sensitivity of 92.0% for missing PPIs and a specificity of 97.1% and a sensitivity of 69.7% for inappropriate PPIs were calculated. The algorithm reduced incidents of missing PPIs by 63.4% (p < 0.001) and of inappropriate PPIs by 16.2% (p = 0.022). CONCLUSION: The algorithm identified patients without necessary gastroprotection or inappropriate PPIs with high specificity and acceptable sensitivity. It positively impacted the rational use of PPIs by reducing incidents of missing and inappropriate PPIs.

Development and validation of a clinical decision support system to prevent anticoagulant duplications.

BACKGROUND AND OBJECTIVE: Unintended duplicate prescriptions of anticoagulants increase the risk of serious adverse events. Clinical Decision Support Systems (CDSSs) can help prevent such medication errors; however, sophisticated algorithms are needed to avoid alert fatigue. This article describes the steps taken in our hospital to develop a CDSS to prevent anticoagulant duplication (AD). METHODS: The project was composed of three phases. In phase I, the status quo was established. In phase II, a clinical pharmacist developed an algorithm to detect ADs using daily data exports. In phase III, the algorithm was integrated into the hospital's electronic health record system. Alerts were reviewed by clinical pharmacists before being sent to the prescribing physician. We conducted a retrospective analysis of all three phases to assess the impact of the interventions on the occurrence and duration of ADs. Phase III was analyzed in more detail regarding the acceptance rate, sensitivity, and specificity of the alerts. RESULTS: We identified 91 ADs in 1581 patients receiving two or more anticoagulants during phase I, 70 ADs in 1692 patients in phase II, and 57 ADs in 1575 patients in phase III. Mean durations of ADs were 1.8, 1.4, and 1.1 calendar days during phases I, II, and III, respectively. In comparison to the baseline in phase I, the relative risk reduction of AD in patients treated with at least two different anticoagulants during phase III was 42% (RR: 0.58, CI: 0.42-0.81). A total of 429 alerts were generated during phase III, many of which were self-limiting, and 186 alerts were sent to the respective prescribing physician. The acceptance rate was high at 97%. We calculated a sensitivity of 87.4% and a specificity of 87.9%. CONCLUSION: The stepwise development of a CDSS for the detection of AD markedly reduced the frequency and duration of medication errors in our hospital, thereby improving patient safety.

Mandatory Warning Signs for Cannabis: Perspectives and Preferences of Pregnant and Recently Pregnant People Who Use Cannabis.

BACKGROUND: Five U.S. states where recreational cannabis is legal require Mandatory Warning Signs for cannabis use during pregnancy (MWS-cannabis) to be posted in cannabis dispensaries. Previous research has found adverse health consequences associated with MWS-cannabis and that people lack trust in information on signs. This qualitative study explores people's perspectives and preferences regarding MWS-cannabis. METHODS: We conducted in-depth interviews with 34 pregnant or recently pregnant individuals from multiple states with varying policy climates in the U.S. who used cannabis before and/or during pregnancy. We asked participants about their perspectives on MWS-cannabis and reactions to specific messages. We reviewed transcripts using thematic analysis. RESULTS: Participants reported mostly negative views on MWS-cannabis, suggesting they may have stigmatizing and negative impacts on pregnant people who use cannabis, discouraging them from seeking care. Many said that the scientific evidence is not strong enough to justify MWS-cannabis, and that they are unlikely to deter pregnant people from using cannabis. Participants asserted that vague or fear-based messages, distrust of government, and the location and timing of the signs undermine the goals of MWS-cannabis. When reacting to specific messages, participants preferred messages that are evidence-based, clear, specific, and aligned with autonomous decision-making. CONCLUSIONS: Pregnant and recently pregnant people who use cannabis have mostly negative perceptions of MWS-cannabis and believe they have negative consequences. More work is needed to develop health information resources that meet the needs of people who use cannabis in pregnancy without increasing stigma.

Evaluation of Triple Whammy Prescriptions After the Implementation of a Drug Safety Algorithm.

BACKGROUND AND OBJECTIVE: The term triple whammy (TW) refers to the concomitant use of non-steroidal anti-inflammatory drugs, diuretics, and angiotensin system inhibitors; this combination significantly increases the risk of acute kidney injury (AKI). To prevent this serious complication, we developed an electronic algorithm that detects TW prescriptions in patients with additional risk factors such as old age and impaired kidney function. The algorithm alerts a clinical pharmacist who then evaluates and forwards the alert to the prescribing physician. METHODS: We evaluated the performance of this algorithm in a retrospective observational study of clinical data from all adult patients admitted to the Cantonal Hospital of Aarau in Switzerland in 2021. We identified all patients who received a TW prescription, had a TW alert, or developed AKI during TW therapy. Algorithm performance was evaluated by calculating the sensitivity and specificity as a primary endpoint and determining the acceptance rate among clinical pharmacists and physicians as a secondary endpoint. RESULTS: Among 21,332 hospitalized patients, 290 patients had a TW prescription, of which 12 patients experienced AKI. Overall, 216 patients were detected by the alert algorithm, including 11 of 12 patients with AKI; the algorithm sensitivity is 88.3% with a specificity of 99.7%. Physician acceptance was high (77.7%), but clinical pharmacists were reluctant to forward the alerts to prescribers in some cases. CONCLUSION: The TW algorithm is highly sensitive and specific in identifying patients with TW therapy at risk for AKI. The algorithm may help to prevent AKI in TW patients in the future.

Association of Mandatory Warning Signs for Cannabis Use During Pregnancy With Cannabis Use Beliefs and Behaviors.

Importance: As states have legalized recreational cannabis use, some have enacted policies mandating point-of-sale warning signs with information on harms of using cannabis during pregnancy. While research has found such warning signs are associated with increased adverse birth outcomes, reasons why are unclear. Objective: To examine whether exposure to cannabis warning signs is associated with cannabis-related beliefs, stigma, and use. Design, Setting, and Participants: This cross-sectional study used data from a population-based online survey conducted from May to June 2022. Participants included pregnant and recently pregnant (within past 2 years) members of the national probability KnowledgePanel and nonprobability samples in all US states and Washington, the District of Columbia, where recreational cannabis is legal. Data were analyzed from July 2022 to April 2023. Exposure: Living in 1 of 5 states with a warning signs policy. Main Outcomes and Measures: Outcomes of interest were self-reported beliefs (linear) that cannabis use during pregnancy is not safe, should be punished, and is stigmatized and cannabis use during pregnancy (dichotomous). Regressions, accounting for survey weights and clustering by state, examined associations of warning signs with cannabis-related beliefs and use. Results: A total of 2063 pregnant or recently pregnant people (mean [SD] weighted age, 32 [6] years) completed the survey, and 585 participants (weighted, 17%) reported using cannabis during their pregnancy. Among people who used cannabis during their pregnancy, living in a warning signs state was associated with beliefs that cannabis use during pregnancy was safe (ß = -0.33 [95% CI, -0.60 to -0.07]) and that people who used cannabis during pregnancy should not be punished (ß = -0.40 [95% CI, -0.73 to -0.07]). Among people who did not use cannabis before or during pregnancy, living in a warning signs state was associated with beliefs that use was not safe (ß = 0.34 [95% CI, 0.17 to 0.51]), that people should be punished for use (ß = 0.35 [95% CI, 0.24 to 0.47]), and that use was stigmatized (ß = 0.35 [95% CI, 0.07 to 0.63]). Warning signs policies were not associated with use (adjusted odds ratio, 1.11 [95% CI, 0.22 to 5.67]). Conclusions and Relevance: In this cross-sectional study of warning signs and cannabis-related use and beliefs, warning signs policies were not associated with reduced cannabis use during pregnancy or with people who used cannabis believing use during pregnancy was less safe but were associated with greater support for punishment and stigma among people who did not use cannabis.

Clinician views on reporting pregnant and birthing patients who use alcohol and/or drugs to child welfare.

BACKGROUND: Multiple health professional associations have expressed concern with policies that require clinician reporting of pregnant people's substance use to child welfare, including that reporting negatively affects patient outcomes and the patient-provider relationship. However, research has shown that clinicians continue to report pregnant and birthing patients at high rates. OBJECTIVE: This study aimed to explore clinician views on reporting pregnant and birthing patients who use alcohol or drugs during pregnancy to child welfare and whether there are patterns in the types of decisions that clinicians agree with, disagree with, or feel conflicted about. STUDY DESIGN: In-depth interviews were conducted with 37 hospital-based clinicians (13 obstetrics and gynecology physicians, 12 emergency medicine physicians, 10 family medicine physicians, and 2 advance practice registered nurses) in the United States. The participants discussed one or more patient cases where they or someone else on the care team had to decide whether to report that patient to child welfare related to their use of alcohol or drugs during pregnancy. Cases were categorized on the basis of whether the participant agreed, disagreed, or was conflicted by the reporting decision in that case. Patterns were explored by patient-level factors, provider specialty, and whether the participant perceived that the decision was influenced by a state or hospital policy. RESULTS: A total of 53 patient cases (average 2 per interview) were identified. The participants typically described cases where they agreed with the decision to report or believed there was no other option than reporting. These cases typically involved patients who used nonprescribed opioids during pregnancy, were experiencing factors (eg, unstable housing and untreated mental health disorders) in addition to substance use, and/or left the hospital against medical advice without their infant. Moreover, some participants, mostly obstetricians and gynecologists, described cases where they felt conflicted about or disagreed with the decision to report. These cases typically involved pregnant patients using cannabis and patients reported because of hospital and/or state policy. Only 1 participant described a case where they disagreed with the decision to not report. CONCLUSION: The participants agreed with most, but not all, child welfare reporting decisions. When participants disagreed or felt conflicted with reporting decisions, these feelings were almost entirely related to decisions to report, which, in some cases, were prompted by hospital or state policies. Policies may prompt reporting that exceeds what clinicians believe is appropriate.

Tackling alert fatigue with a semi-automated clinical decision support system: quantitative evaluation and end-user survey.

STUDY AIMS: Clinical decision support systems (CDSS) embedded in hospital electronic health records efficiently reduce medication errors, but there is a risk of low physician adherence due to alert fatigue. At the Cantonal Hospital Aarau, a CDSS is being developed that allows the highly accurate detection and correction of medication errors. The semi-automated CDSS sends its alerts either directly to the physician or to a clinical pharmacist for review first. Our aim was to evaluate the performance of the recently implemented CDSS in terms of acceptance rate and alert burden, as well as physicians' satisfaction with the CDSS. METHODS: All alerts generated by the clinical decision support systems between January and December 2021 were included in a retrospective quantitative evaluation. A team of clinical pharmacists performed a follow-up to determine whether the recommendation made by the CDSS was implemented by the physician. The acceptance rate was calculated including all alerts for which it was possible to determine an outcome. A web-based survey was conducted amongst physicians to assess their attitude towards the CDSS. The survey questions included overall satisfaction, helpfulness of individual algorithms, and perceived alert burden. RESULTS: In 2021, a total of 10,556 alerts were generated, of which 619 triggered a direct notification to the physician and 2,231 notifications were send to the physician after evaluation by a clinical pharmacist. The acceptance rates were 89.8% and 68.4%, respectively, which translates as an overall acceptance rate of 72.4%. On average, clinical pharmacists received 17.2 alerts per day, while all of the hospital physicians together received 7.8 notifications per day. In the survey, 94.5% of physicians reported being satisfied or very satisfied with the CDSS. Algorithms addressing potential medication errors concerning anticoagulants received the highest usefulness ratings. CONCLUSION: The development of this semi-automated clinical decision support system with context-based algorithms resulted in alerts with a high acceptance rate. Involving clinical pharmacists proved a promising approach to limit the alert burden of physicians and thus tackle alert fatigue. The CDSS is well accepted by our physicians.

Association of Pregnancy-Specific Alcohol Policies With Infant Morbidities and Maltreatment.

Importance: Research has found associations of pregnancy-specific alcohol policies with increased low birth weight and preterm birth, but associations with other infant outcomes are unknown. Objective: To examine the associations of pregnancy-specific alcohol policies with infant morbidities and maltreatment. Design, Setting, and Participants: This retrospective cohort study used outcome data from Merative MarketScan, a national database of private insurance claims. The study cohort included individuals aged 25 to 50 years who gave birth to a singleton between 2006 and 2019 in the US, had been enrolled 1 year before and 1 year after delivery, and could be matched with an infant. Data were analyzed from August 2021 to April 2023. Exposures: Nine state-level pregnancy-specific alcohol policies obtained from the National Institute on Alcohol Abuse and Alcoholism's Alcohol Policy Information System. Main Outcomes and Measures: The primary outcomes were 1 or more infant injuries associated with maltreatment and infant morbidities associated with maternal alcohol consumption within the first year. Logistic regression, adjusting for individual-level and state-level controls, and fixed effects for state, year, state-specific time trends, and SEs clustered by state were used. Results: A total of 1 432 979 birthing person-infant pairs were included (mean [SD] age of birthing people, 32.2 [4.2] years); 30 157 infants (2.1%) had injuries associated with maltreatment, and 44 461 (3.1%) infants had morbidities associated with alcohol use during pregnancy. The policies of Reporting Requirements for Assessment/Treatment (adjusted odds ratio [aOR], 1.28; 95% CI, 1.08-1.52) and Mandatory Warning Signs (aOR, 1.18; 95% CI, 1.10-1.27) were associated with increased odds of infant injuries but not morbidities. Priority Treatment for Pregnant Women Only was associated with decreased odds of infant injuries (aOR, 0.83; 95% CI, 0.76-0.90) but not infant morbidities. Civil Commitment was associated with increased odds of infant injuries (aOR, 1.26; 95% CI, 1.08-1.48) but decreased odds of infant morbidities (aOR, 0.57; 95% CI, 0.53-0.62). Priority Treatment for Pregnant Women and Women With Children was associated with increased odds of both infant injuries (aOR, 1.12; 95% CI, 1.00-1.25) and infant morbidities (aOR, 1.08; 95% CI, 1.03-1.13). Reporting Requirements for Child Protective Services, Reporting Requirements for Data, Child Abuse/Neglect, and Limits on Criminal Prosecution were not associated with infant injuries or morbidities. Conclusions and Relevance: In this cohort study, most pregnancy-specific alcohol policies were not associated with decreased odds of infant injuries or morbidities. Policy makers should not assume that pregnancy-specific alcohol policies improve infant health.

Health care provider decision-making around prenatal substance use reporting.

BACKGROUND: Recent research has found that harms related to alcohol and/or drug (AOD) use during pregnancy are not limited to those associated with use itself; harms also result from policies and health care practices adopted in response, including reporting to Child Protective Services (CPS). This study sought to understand factors that influence health care providers' reporting practices. METHODS: We conducted 37 semi-structured interviews with hospital-based obstetricians/gynecologists, family medicine physicians, and emergency department physicians, focused on experiences with reporting pregnant/birthing people with AOD to government authorities. We deductively applied an implementation science framework, the Theoretical Domains Framework (TDF) to identify the relevant domains and then inductively coded within domains to identify sub-themes. RESULTS: Most participants saw reporting as someone else's job, primarily social workers. While a few participants associated reporting with increased connection to services, many participants expressed awareness of negative consequences associated with reporting. Nonetheless, participants were much more concerned about potential harms to the baby associated with not reporting and expressed considerable anxiety about these harms occurring if a report was not made. While a few participants described making reporting decisions themselves, most described interpersonal, hospital-level, and state policy-level factors that constrained their decision-making. CONCLUSIONS: Many of the factors that influence physician decision-making in reporting pregnant/birthing people who use AOD to CPS are outside the control of individual physicians and require social, structural, and policy changes. Those that are individual-focused involve intense emotions and thus are unlikely to be influenced by solely didactic cognitive-focused trainings.

Implementation and outcome of an electronic tool for detection of paracetamol overdose in a tertiary care hospital.

Background Paracetamol is a widely used analgesic and antipyretic drug in hospitals. The development and implementation of an electronic tool with algorithm-based alerts (e-agent) in a clinical information system could reduce the risk of overdose. Objective In this study, the performance of such an e-agent developed to detect paracetamol overdosing was analyzed. Setting Swiss tertiary care hospital. Method All patients ≥ 18 years old who had documented paracetamol administration in the used clinical information system during 2017 were retrospectively screened for an absolute and relative overdosing of paracetamol (> 4 g and > 60 mg/kg/24 h, respectively). This was compared with the patients for which the e-agent had, during the same period, prospectively made an alert for absolute or relative overdosing or for a dosing interval < 4 h (potentially leading to an absolute overdose). Main outcome measure E-agent performance defined as detection rate. Results of the 13,196 adult patients who received at least one dose of paracetamol, 2292 were exposed at least once to > 4 g/day (17.4%), 39 of these (0.3% of total) were given > 5 g paracetamol. None received more than 6 g. The e-agent detected 87.2% of cases with doses > 5 g. In most cases (87.9%), the cause of the absolute overdose was a switch from intravenous to oral paracetamol, resulting in an absolute overdose the day of the change. The maximal daily dose of 60 mg/kg was exceeded in 30.1% of patients weighing < 50 kg, as well as in 42.3% of patients weighing < 60 kg. The e-agent detected 73.4% and 75.5% of those cases. Multiple absolute overdoses were found in 204 patients. The e-agent detected 72.7% of those. 90 multiple overdoses occurred during the same hospital stay and 11 on consecutive days. Conclusion Paracetamol overdose is a common medication error in hospitalized patients, which may occur due to process failures such as wrong timing when changing administration route or when factors like comedication and low body weight are ignored. The e-agent detects cases of paracetamol overdose, and therefore, can help prevent this kind of medication error in the clinical setting.