Maka Tsulukidze

While both induced abortion and natural pregnancy loss have been associated with subsequent mental health problems, population-based studies directly comparing these two pregnancy outcomes are rare. We sought to compare mental health morbidity after an induced abortion or natural loss.IntroductionWhile both induced abortion and natural pregnancy loss have been associated with subsequent mental health problems, population-based studies directly comparing these two pregnancy outcomes are rare. We sought to compare mental health morbidity after an induced abortion or natural loss.Continuously eligible Medicaid beneficiaries age 16 in 1999 were assigned to two cohorts based upon the first pregnancy outcome: abortion (n = 1,331) or natural loss (n = 605). Outcomes were mental health outpatient visits, inpatient hospital admissions and hospital days of stay per patient per year. Average exposure periods before and after the first pregnancy outcome for each cohort were used to adjust the mental health service rates.MethodsContinuously eligible Medicaid beneficiaries age 16 in 1999 were assigned to two cohorts based upon the first pregnancy outcome: abortion (n = 1,331) or natural loss (n = 605). Outcomes were mental health outpatient visits, inpatient hospital admissions and hospital days of stay per patient per year. Average exposure periods before and after the first pregnancy outcome for each cohort were used to adjust the mental health service rates.Prior to the first pregnancy outcome, all three utilization rates were significantly higher for the natural loss cohort compared to the abortion cohort. For the abortion cohort, the per-patient per-year increase from the pre- to post-pregnancy periods was significant for all three rates: 2.04 times for outpatient visits (p < 0.0001), 3.04 times for inpatient admissions (p = 0.0003), and 3.01 times for hospital days of stay (p = 0.0112). None of the pre-to-post rate increases were significant for the natural loss cohort.ResultsPrior to the first pregnancy outcome, all three utilization rates were significantly higher for the natural loss cohort compared to the abortion cohort. For the abortion cohort, the per-patient per-year increase from the pre- to post-pregnancy periods was significant for all three rates: 2.04 times for outpatient visits (p < 0.0001), 3.04 times for inpatient admissions (p = 0.0003), and 3.01 times for hospital days of stay (p = 0.0112). None of the pre-to-post rate increases were significant for the natural loss cohort.Higher pre-pregnancy use rates for women who experience a natural pregnancy loss indicate that increased mental health services use following abortion cannot be solely attributed to pre-existing mental illness. Only the abortion cohort, but not the natural loss cohort, experienced significant increases in mental health services use following the first pregnancy outcome.ConclusionHigher pre-pregnancy use rates for women who experience a natural pregnancy loss indicate that increased mental health services use following abortion cannot be solely attributed to pre-existing mental illness. Only the abortion cohort, but not the natural loss cohort, experienced significant increases in mental health services use following the first pregnancy outcome.

There is emerging evidence suggesting that pregnancy loss (induced or natural) is associated with an increased risk of cardiovascular diseases (CVD). This prospective longitudinal study investigates the effect of prior pregnancy losses on CVD risk during the first six months following a first live birth. Medicaid claims of 1,002,556 low-income women were examined to identify history of pregnancy losses, CVD, diabetes, and hyperlipidemia prior to first live birth. The study population was categorized into five groups: A: women with no pregnancy loss or CVD history prior to first live birth; B: women with pregnancy loss and no CVD prior to first live birth. C: women with a first CVD diagnosis after a first pregnancy ending in a loss and before their first live birth. D: women with CVD prior to first live birth and no history of pregnancy loss. E: women with both CVD and pregnancy loss prior to their first live birth. After controlling for age, race, state of residence, and history of diabetes and hyperlipidemia, the risk of CVD in the six-month period following a first live birth were 15%, 214%, 79% and 129% more common for Groups B, C, D and E, respectively, compared to Group A. Pregnancy loss is an independent risk factor for CVD risk following a first live birth, both for women with and without a prior history of CVD. The risk is highest when CVD is first diagnosed after a pregnancy loss and prior to a first live birth.

Background: Online health information seeking is changing the way people engage with health care and the health system. Recent changes in practices related to seeking, accessing, and disseminating scientific research, and in particular health information, have enabled a high level of user engagement. Objective: This study aims to examine an innovative model of research translation, The Huberman Lab Podcast (HLP), developed by Andrew Huberman, Professor of Neurobiology and Ophthalmology at the Stanford School of Medicine. The HLP leverages social media to deliver health information translated into specific, actionable practices and health strategies directly to the general public. This research characterizes the HLP as an Active Model of Research Translation and assesses its potential as a framework for replicability and wider adoption. Methods: We applied conventional content analysis of the YouTube transcript data and directed content analysis of viewers' YouTube comments to 23 HLP episodes released from January to October 2021, reflecting the time of data analysis. We selected 7 episodes and a welcome video, to describe and identify key characteristics of the HLP model. We analyzed viewer comments for 18 episodes to determine whether viewers found the HLP content valuable, accessible, and easy to implement. Results: The key HLP features are direct-to-the-consumer, zero-cost, bilingual, and actionable content. We identified 3 main organizing categories and 10 subcategories as the key elements of the HLP: (1) Why: Educate and Empower and Bring Zero Cost to Consumer Information to the General Public; (2) What: Tools and Protocols; Underlying Mechanisms; and Grounded in Science; (3) How: Linear and Iterative Knowledge Building Process; Lecture-Style Sessions; Interactive and Consumer Informed; Easily Accessible; and Building the Community. Analysis of viewers' comments found strong consumer support for the key HLP model elements. Conclusions: This Active Model of Research Translation offers a way to synthesize scientific evidence and deliver it directly to end users in the form of actionable tools and education. Timely evidence translation using effective consumer engagement and education techniques appears to improve access and confidence related to health information use and reduces challenges to understanding and applying health information received from health providers. Framing complex content in an approachable manner, engaging the target audience, encouraging participation, and ensuring open access to the content meet current recommendations on innovative practices for leveraging social media or other digital platforms for disseminating science and research findings to the general public, and are likely key contributors to HLP impact and potential for success. The model offers a replicable framework for translating and disseminating scientific evidence. Similar active models of research translation can have implications for accessing health information and implementing health strategies for improved outcomes. Areas for further investigation are specific and measurable impacts on health, usability, and relevance of the model for reaching marginalized and high-risk populations.

Objective: To determine whether exposure to a first pregnancy outcome of induced abortion, compared to a live birth, is associated with an increased risk and likelihood of mental health morbidity. Materials and methods: Participants were continuously eligible Medicaid beneficiaries age 16 in 1999, and assigned to either of two cohorts based upon the first pregnancy outcome, abortion (n = 1331) or birth (n = 3517), and followed through to 2015. Outcomes were mental health outpatient visits, inpatient hospital admissions, and hospital days of stay. Exposure periods before and after the first pregnancy outcome, a total of 17 years, were determined for each cohort. Findings: Women with first pregnancy abortions, compared to women with births, had higher risk and likelihood of experiencing all three mental health outcome events in the transition from pre-to post-pregnancy outcome periods: outpatient visits (RR 2.10, CL 2.08- 2.12 and OR 3.36, CL 3.29-3.42); hospital inpatient admissions (RR 2.75, CL 2.38-3.18 and OR 5.67, CL 4.39-7.32); hospital inpatient days of stay (RR 7.38, CL 6.83-7.97 and OR 19.64, CL 17.70-21.78). On average, abortion cohort women experienced shorter exposure time before (6.43 versus 7.80 years), and longer exposure time after (10.57 versus 9.20 years) the first pregnancy outcome than birth cohort women. Utilization rates before the first pregnancy outcome, for all three utilization events, were higher for the birth cohort than for the abortion cohort. Conclusion: A first pregnancy abortion, compared to a birth, is associated with significantly higher subsequent mental health services utilization following the first pregnancy outcome. The risk attributable to abortion is notably higher for inpatient than outpatient mental health services. Higher mental health utilization before the first pregnancy outcome for birth cohort women challenges the explanation that pre-existing mental health history explains mental health problems following abortion, rather than the abortion itself.

ObjectivePregnancy is associated with elevated risk of cardiovascular diseases (CVD), but little is known regarding the association between CVD and specific types of pregnancy losses. The aim of this study is to investigate the effects of pregnancy loss on the risk of subsequent CVD of any type.MethodsThis prospective longitudinal study examines medical records between 1999 and 2014 for Medicaid beneficiaries born after 1982 who lived in a state that funds all reproductive health services, including induced abortion. Unique pregnancy outcomes, history of diabetes, hyperlipidaemia or CVD (International Classification of Diseases, Ninth Revision (ICD-9): 401–459) prior to their first pregnancy outcome for each woman. Cumulative incidence rates of a first CVD diagnosis following a first pregnancy were calculated for the observed period, exceeding 12 years.ResultsA history of pregnancy loss was associated with 38% (OR=1.38; 95% CI=1.37 to 1.40) higher risk of a CVD diagnosis in the period observed. After controlling for history of diabetes, hyperlipidaemia, age, year of first pregnancy, race, state of residence, months of eligibility, number of pregnancies, births, number of losses before and after the first live birth, exposure to any pregnancy loss was associated with an 18% (adjusted OR=1.18; 95% CI=1.15 to 1.21) increased risk of CVD. Our analyses also reveal an important temporal relationship between the CVD and pregnancy loss. Immediate and short-term increased CVD risk is more characteristic for women whose first pregnancy ended in live birth while a delayed and more prolonged increased risk of CVD is associated with a first pregnancy loss.ConclusionsOur findings corroborate previous research showing that pregnancy loss is an independent risk factor for CVD, especially for diseases more chronic in nature. Our research contributes to understanding the specific needs for cardiovascular health monitoring for pregnant women and developing a consistent, evidence-based screening tools for both short-term and long-term follow-up.

Previous research indicates that an increasing number of women who go to an emergency room for complications following an induced abortion are treated for a miscarriage, meaning their abortion is miscoded or concealed. To determine if the failure to identify a prior induced abortion during an ER visit is a risk factor for higher rates of subsequent hospitalization. Post hoc analysis of hospital admissions following an induced abortion and ER visit within 30 days: 4273 following surgical abortion and 408 following chemical abortion; abortion not miscoded versus miscoded or concealed at prior ER visit. Chemical abortion patients whose abortions are misclassified as miscarriages during an ER visit subsequently experience on average 3.2 hospital admissions within 30 days. 86% of the patients ultimately have surgical removal of retained products of conception (RPOC). Chemical abortions are more likely than surgical abortions (OR 1.80, CL 1.38-2.35) to result in an RPOC admission, and chemical abortions concealed are more likely to result (OR 2.18, CL 1.65-2.88) in a subsequent RPOC admission than abortions without miscoding. Surgical abortions miscoded/concealed are similarly twice as likely to result in hospital admission than those without miscoding. Patient concealment and/or physician failure to identify a prior abortion during an ER visit is a significant risk factor for a subsequent hospital admission. Patients and ER personnel should be made aware of this risk.

Introduction Existing research on postabortion emergency room visits is sparse and limited by methods which underestimate the incidence of adverse events following abortion. Postabortion emergency room (ER) use since Food and Drug Administration approval of chemical abortion in 2000 can identify trends in the relative morbidity burden of chemical versus surgical procedures.
Objective To complete the first longitudinal cohort study of postabortion emergency room use following chemical and surgical abortions.
Methods A population-based longitudinal cohort study of 423 000 confirmed induced abortions and 121,283 subsequent ER visits occurring within 30 days of the procedure, in the years 1999-2015, to Medicaid-eligible women over 13 years of age with at least one pregnancy outcome, in the 17 states which provided public funding for abortion.
Results ER visits are at greater risk to occur following a chemical rather than a surgical abortion: all ER visits (OR 1.22, CL 1.19-1.24); miscoded spontaneous (OR 1.88, CL 1.81-1.96); and abortion-related (OR 1.53, CL 1.49-1.58). ER visit rates per 1000 abortions grew faster for chemical abortions, and by 2015, chemical versus surgical rates were 354.8 versus 357.9 for all ER visits; 31.5 versus 8.6 for miscoded spontaneous abortion visits; and 51.7 versus 22.0 for abortion-related visits. Abortion-related visits as a percent of total visits are twice as high for chemical abortions, reaching 14.6% by 2015. Miscoded spontaneous abortion visits as a percent of total visits are nearly 4 times as high for chemical abortions, reaching 8.9% of total visits and 60.9% of abortion-related visits by 2015.
Conclusion The incidence and per-abortion rate of ER visits following any induced abortion are growing, but chemical abortion is consistently and progressively associated with more postabortion ER visit morbidity than surgical abortion. There is also a distinct trend of a growing number of women miscoded as receiving treatment for spontaneous abortion in the ER following a chemical abortion.

Introduction: The prevalence of induced abortion among women with children has been estimated indirectly by projections derived from survey research. However, an empirically derived, population-based conclusion on this question is absent from the published literature. Objective: The objective of this study was to describe the period prevalence of abortion among all other possible pregnancy outcomes within the reproductive histories of Medicaid-eligible women in the U.S. Methods: A retrospective, cross-sectional, longitudinal analysis of the pregnancy outcome sequences of eligible women over age 13 from the 17 states where Medicaid included coverage of most abortions, with at least one identifiable pregnancy between 1999 and 2014. A total of 1360 pregnancy outcome sequences were grouped into 8 categories which characterize various combinations of the 4 possible pregnancy outcomes: birth, abortion, natural loss, and undetermined loss. The reproductive histories of 4,884,101 women representing 7,799,784 pregnancy outcomes were distributed into these categories. Results: Women who had live births but no abortions or undetermined pregnancy losses represented 74.2% of the study population and accounted for 87.6% of total births. Women who have only abortions but no births constitute 6.6% of the study population, but they are 53.5% of women with abortions and have 51.5% of all abortions. Women with both births and abortions represent 5.7% of the study population and have 7.2% of total births. Conclusion: Abortion among low-income women with children is exceedingly uncommon, if not rare. The period prevalence of mothers without abortion is 13 times that of mothers with abortion.

•We assessed the psychometric properties of a 5-item measure of SDM, Observer OPTION5.•OPTION5 was used to rate clinical encounters from two patient decision aid trials.•OPTION5 produced valid and reliable scores in this sample.•Raters reported lower cognitive burden when using OPTION5 compared to OPTION12.•OPTION5 is a brief, psychometrically sound observer measure of SDM.
Observer OPTION5 was designed as a more efficient version of OPTION12, the most commonly used measure of shared decision making (SDM). The current paper assesses the psychometric properties of OPTION5.
Two raters used OPTION5 to rate recordings of clinical encounters from two previous patient decision aid (PDA) trials (n=201; n=110). A subsample was re-rated two weeks later. We assessed discriminative validity, inter-rater reliability, intra-rater reliability, and concurrent validity.
OPTION5 demonstrated discriminative validity, with increases in SDM between usual care and PDA arms. OPTION5 also demonstrated concurrent validity with OPTION12, r=0.61 (95%CI 0.54, 0.68) and intra-rater reliability, r=0.93 (0.83, 0.97). The mean difference in rater score was 8.89 (95% Credibility Interval, 7.5, 10.3), with intraclass correlation (ICC) of 0.67 (95% Credibility Interval, 0.51, 0.91) for the accuracy of rater scores and 0.70 (95% Credibility Interval, 0.56, 0.94) for the consistency of rater scores across encounters, indicating good inter-rater reliability. Raters reported lower cognitive burden when using OPTION5 compared to OPTION12.
OPTION5 is a brief, theoretically grounded observer measure of SDM with promising psychometric properties in this sample and low burden on raters.
OPTION5 has potential to provide reliable, valid assessment of SDM in clinical encounters.

Objective: To assess the feasibility of Option Grids (R) for facilitating shared decision making (SDM) in simulated clinical consultations and explore clinicians' views on their practicability.
Methods: We used mixed methods approach to analyze clinical consultations using the Observer OPTION instrument and thematic analysis for follow-up interviews with clinicians.
Results: Clinicians achieved high scqres on information sharing and low scores on preference elicitation and integration. Four themes were identified: (1) Barriers affect practicability of Option Grids (R); (2) Option Grids (R) facilitate the SDM process; (3) Clinicians are aware of the gaps in their practice of SDM; (4) Training and ongoing feedback on the optimal use of Option Grids (R) are necessary.
Conclusion: Use of Option Grids (R) by clinicians with background knowledge in SDM did not facilitate optimal levels of competency on the SDM core concepts of preference elicitation and integration. Future research must evaluate the impact of training on the use of Option Grids (R), and explore how best to help clinicians bridge the gap between knowledge and action.
Practice implications: Clinicians proficiently imparting information in simulations struggled to elicit and integrate patient preferences - understanding this gap and developing strategies to close it are the next steps for implementing SDM into clinical practice. (C) 2015 Elsevier Ireland Ltd. All rights reserved.