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Francoeur AA, Kang SHL, Senaratne TN, Saitta S, Murali A, Peters K, Hansman E, Chen A, Parvataneni R, Patil R, Rible R, Sridhar A, Stoddard A, Zapata M, Krakow D, Pluym ID. The Role of Preprocedure Genetic Counseling in Pregnancies Interrupted for Fetal Abnormalities. Am J Perinatol 2024; 41:383-394. [PMID: 38154468 DOI: 10.1055/s-0043-1777706] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/30/2023]
Abstract
OBJECTIVE Congenital birth defects affect 3 to 5% of pregnancies. Genetic counseling can help patients navigate the testing process and understand results. The study objective was to identify predictors and utility of genetic counseling at the time of pregnancy termination. Additionally, we aimed to see what proportion of patients would benefit from additional testing based on the results of the genetic testing. STUDY DESIGN This was a retrospective cohort review of all terminations performed for fetal anomalies by an academic center from July 2016 to May 2020. Indications were stratified by abnormal serum screening or types of abnormal ultrasound findings. Data were abstracted regarding uptake of genetic counseling and testing results. Abnormal results that warranted additional testing regarding recurrence risks were noted. Multivariable logistic regression was performed to identify predictors of receipt of genetic counseling and testing. RESULTS Of 387 patients, 57% (n = 220) received preprocedure genetic counseling and 43% (n = 167) did not. Among patients who received diagnostic testing, 62% (n = 194) had genetic counseling compared with 38% (n = 121) without counseling (adjusted odds ratio 2.46, 95% confidence interval [1.41-4.29], p < 0.001). Among the entire cohort, 38% (n = 148) had suspected aneuploidy based on serum screening. Of these, 89% (n = 132/148) had definitive testing, 92% (n = 122/132) confirming the aneuploidy. Among the other 68% (n = 239) with structural anomalies, 76% (n = 183) had diagnostic testing with 29% (n = 53) yielding an abnormal result. Among those fetuses with structural anomalies, 36% (n = 19/53) of genetic diagnoses warranted additional parental testing because of risk of recurrence compared with only 2% (n = 2/122) of patients with abnormal serum screening results alone. CONCLUSION Genetic counseling was associated with increased uptake of diagnostic testing, which yielded useful information and prompted additional testing. This is important for determining etiology and recurrence risk and should be offered to patients presenting for termination for fetal indications, as well as providing diagnostic closure for patients. KEY POINTS · Genetic counseling increases the uptake of diagnostic testing in patients with fetal anomalies.. · Patients with ultrasound anomalies received less diagnostic testing despite actionable results 36% of the time.. · Genetic testing is invaluable for recurrence risk counseling even if patients chose to terminate..
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Affiliation(s)
- Alex A Francoeur
- Department of Obstetrics and Gynecology, University of California, Irvine, Orange, California
| | - Sung-Hae L Kang
- Department of Pathology and Laboratory medicine, University of California, Los Angeles, California
| | - T Niroshi Senaratne
- Department of Pathology and Laboratory medicine, University of California, Los Angeles, California
| | - Sulagna Saitta
- Department of Obstetrics and Gynecology, University of California, Los Angeles, California
- Department of Human Genetics, University of California, Los Angeles, California
| | - Aparna Murali
- Department of Obstetrics and Gynecology, University of California, Los Angeles, California
| | - Katharine Peters
- Department of Obstetrics and Gynecology, University of California, Los Angeles, California
| | - Emily Hansman
- David Geffen School of Medicine, Los Angeles, California
| | - Angela Chen
- Department of Obstetrics and Gynecology, University of California, Los Angeles, California
| | - Ram Parvataneni
- Department of Obstetrics and Gynecology, University of California, Los Angeles, California
| | - Rajita Patil
- Department of Obstetrics and Gynecology, University of California, Los Angeles, California
| | - Radhika Rible
- Department of Obstetrics and Gynecology, University of California, Los Angeles, California
| | - Aparna Sridhar
- Department of Obstetrics and Gynecology, University of California, Los Angeles, California
| | - Amy Stoddard
- Department of Obstetrics and Gynecology, University of California, Los Angeles, California
| | - Mya Zapata
- Department of Obstetrics and Gynecology, University of California, Los Angeles, California
| | - Deborah Krakow
- Department of Obstetrics and Gynecology, University of California, Los Angeles, California
- Department of Orthopedic Surgery, University of California, Los Angeles, California
- Department of Human Genetics, University of California, Los Angeles, California
| | - Ilina D Pluym
- Department of Obstetrics and Gynecology, University of California, Los Angeles, California
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Sacca L, Zerrouki Y, Burgoa S, Okwaraji G, Li A, Arshad S, Gerges M, Tevelev S, Kelly S, Knecht M, Kitsantas P, Hunter R, Scott L, Reynolds AP, Colon G, Retrouvey M. Exploring measurement tools used to assess knowledge, attitudes, and perceptions of pregnant women toward prenatal screening: A systematic review. WOMEN'S HEALTH (LONDON, ENGLAND) 2024; 20:17455057241273557. [PMID: 39206551 PMCID: PMC11363050 DOI: 10.1177/17455057241273557] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/09/2024] [Revised: 05/28/2024] [Accepted: 07/09/2024] [Indexed: 09/04/2024]
Abstract
There is a lack of standardized measurement tools globally to assess knowledge, attitudes, and perceptions of expecting women toward prenatal screening. The purpose of this systematic review was to identify reasons women pursue or decline prenatal screening and compare the strengths and limitations of available measurement tools used to assess pregnant women's perceptions, knowledge, and attitudes toward prenatal screening. This review followed the five-step York methodology by Arksey and O'Malley and incorporated recommendations from the Preferred Reporting Items for Systematic Reviews and Meta-Analysis checklist for the extraction, analysis, and presentation of results. The five steps consisted of: (1) identification of the research questions; (2) searching for relevant studies; (3) selection of studies relevant to the research questions; (4) data charting; and (5) collation, summarization, and reporting of results. Four online databases (PubMed, Embase, Web of Science, and Cochrane Library) were selected after the librarian's development of a detailed search strategy. The Rayyan platform was used between June 2023 and August 2023 to epitomize the articles produced from our search. A total of 68 eligible studies were included in the analysis. The top five major reasons for declining prenatal screening uptake included (1) being unsure of the risk of prenatal screening and harm to the baby or miscarriage (n = 15), (2) not considering action such as termination of pregnancy for prenatal screening to be considered as necessary (n = 14), (3) high cost (n = 12), (4) lack of knowledge about testing procedures and being anxious about the test (n = 10), and (5) being worried about probability of false negative or false positive results (n = 6). Only 32 studies utilized scientifically validated instruments. Difficulties in capturing representative, adequately sized samples inclusive of diverse ethnicities and demographics were pervasive. Findings highlight the need for rigorous validation of research measurement methodologies to ensure the accuracy and applicability of resulting data regarding the assessment of prenatal screening perceptions, knowledge, and attitudes across diverse female populations.Registration: N/A.
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Affiliation(s)
- Lea Sacca
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, USA
| | - Yasmine Zerrouki
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, USA
| | - Sara Burgoa
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, USA
| | - Goodness Okwaraji
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, USA
| | - Ashlee Li
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, USA
| | - Shaima Arshad
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, USA
| | - Maria Gerges
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, USA
| | - Stacey Tevelev
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, USA
| | - Sophie Kelly
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, USA
| | - Michelle Knecht
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, USA
| | - Panagiota Kitsantas
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, USA
| | - Robert Hunter
- Maternal-Fetal Medicine, Memorial HealthCare System, Hollywood, FL, USA
| | - Laurie Scott
- Maternal-Fetal Medicine, Memorial HealthCare System, Hollywood, FL, USA
| | | | - Gabriela Colon
- Maternal-Fetal Medicine, Memorial HealthCare System, Hollywood, FL, USA
| | - Michele Retrouvey
- Charles E. Schmidt College of Medicine, Florida Atlantic University, Boca Raton, FL, USA
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Jull J, Köpke S, Smith M, Carley M, Finderup J, Rahn AC, Boland L, Dunn S, Dwyer AA, Kasper J, Kienlin SM, Légaré F, Lewis KB, Lyddiatt A, Rutherford C, Zhao J, Rader T, Graham ID, Stacey D. Decision coaching for people making healthcare decisions. Cochrane Database Syst Rev 2021; 11:CD013385. [PMID: 34749427 PMCID: PMC8575556 DOI: 10.1002/14651858.cd013385.pub2] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
BACKGROUND Decision coaching is non-directive support delivered by a healthcare provider to help patients prepare to actively participate in making a health decision. 'Healthcare providers' are considered to be all people who are engaged in actions whose primary intent is to protect and improve health (e.g. nurses, doctors, pharmacists, social workers, health support workers such as peer health workers). Little is known about the effectiveness of decision coaching. OBJECTIVES To determine the effects of decision coaching (I) for people facing healthcare decisions for themselves or a family member (P) compared to (C) usual care or evidence-based intervention only, on outcomes (O) related to preparation for decision making, decisional needs and potential adverse effects. SEARCH METHODS We searched the Cochrane Library (Wiley), Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE (Ovid), Embase (Ovid), PsycINFO (Ovid), CINAHL (Ebsco), Nursing and Allied Health Source (ProQuest), and Web of Science from database inception to June 2021. SELECTION CRITERIA We included randomised controlled trials (RCTs) where the intervention was provided to adults or children preparing to make a treatment or screening healthcare decision for themselves or a family member. Decision coaching was defined as: a) delivered individually by a healthcare provider who is trained or using a protocol; and b) providing non-directive support and preparing an adult or child to participate in a healthcare decision. Comparisons included usual care or an alternate intervention. There were no language restrictions. DATA COLLECTION AND ANALYSIS Two authors independently screened citations, assessed risk of bias, and extracted data on characteristics of the intervention(s) and outcomes. Any disagreements were resolved by discussion to reach consensus. We used the standardised mean difference (SMD) with 95% confidence intervals (CI) as the measures of treatment effect and, where possible, synthesised results using a random-effects model. If more than one study measured the same outcome using different tools, we used a random-effects model to calculate the standardised mean difference (SMD) and 95% CI. We presented outcomes in summary of findings tables and applied GRADE methods to rate the certainty of the evidence. MAIN RESULTS Out of 12,984 citations screened, we included 28 studies of decision coaching interventions alone or in combination with evidence-based information, involving 5509 adult participants (aged 18 to 85 years; 64% female, 52% white, 33% African-American/Black; 68% post-secondary education). The studies evaluated decision coaching used for a range of healthcare decisions (e.g. treatment decisions for cancer, menopause, mental illness, advancing kidney disease; screening decisions for cancer, genetic testing). Four of the 28 studies included three comparator arms. For decision coaching compared with usual care (n = 4 studies), we are uncertain if decision coaching compared with usual care improves any outcomes (i.e. preparation for decision making, decision self-confidence, knowledge, decision regret, anxiety) as the certainty of the evidence was very low. For decision coaching compared with evidence-based information only (n = 4 studies), there is low certainty-evidence that participants exposed to decision coaching may have little or no change in knowledge (SMD -0.23, 95% CI: -0.50 to 0.04; 3 studies, 406 participants). There is low certainty-evidence that participants exposed to decision coaching may have little or no change in anxiety, compared with evidence-based information. We are uncertain if decision coaching compared with evidence-based information improves other outcomes (i.e. decision self-confidence, feeling uninformed) as the certainty of the evidence was very low. For decision coaching plus evidence-based information compared with usual care (n = 17 studies), there is low certainty-evidence that participants may have improved knowledge (SMD 9.3, 95% CI: 6.6 to 12.1; 5 studies, 1073 participants). We are uncertain if decision coaching plus evidence-based information compared with usual care improves other outcomes (i.e. preparation for decision making, decision self-confidence, feeling uninformed, unclear values, feeling unsupported, decision regret, anxiety) as the certainty of the evidence was very low. For decision coaching plus evidence-based information compared with evidence-based information only (n = 7 studies), we are uncertain if decision coaching plus evidence-based information compared with evidence-based information only improves any outcomes (i.e. feeling uninformed, unclear values, feeling unsupported, knowledge, anxiety) as the certainty of the evidence was very low. AUTHORS' CONCLUSIONS Decision coaching may improve participants' knowledge when used with evidence-based information. Our findings do not indicate any significant adverse effects (e.g. decision regret, anxiety) with the use of decision coaching. It is not possible to establish strong conclusions for other outcomes. It is unclear if decision coaching always needs to be paired with evidence-informed information. Further research is needed to establish the effectiveness of decision coaching for a broader range of outcomes.
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Affiliation(s)
- Janet Jull
- School of Rehabilitation Therapy, Faculty of Health Sciences, Queen's University, Kingston, Canada
| | - Sascha Köpke
- Institute of Nursing Science, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | | | - Meg Carley
- Ottawa Hospital Research Institute, Ottawa, Canada
| | - Jeanette Finderup
- Department of Renal Medicine, Aarhus University Hospital, Aarhus, Denmark
- Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
- Research Centre for Patient Involvement, Aarhus University & the Central Denmark Region, Aarhus, Denmark
| | - Anne C Rahn
- Institute of Social Medicine and Epidemiology, Nursing Research Unit, University of Lubeck, Lubeck, Germany
| | - Laura Boland
- Integrated Knowledge Translation Research Network, The Ottawa Hospital Research Institute, Ottawa, Canada
- Western University, London, Canada
| | - Sandra Dunn
- BORN Ontario, CHEO Research Institute, School of Nursing, University of Ottawa, Ottawa, Canada
| | - Andrew A Dwyer
- William F. Connell School of Nursing, Boston University, Chestnut Hill, Massachusetts, USA
- Munn Center for Nursing Research, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Jürgen Kasper
- Department of Nursing and Health Promotion, Faculty of Health Sciences, Oslo Metropolitan University, Oslo, Norway
| | - Simone Maria Kienlin
- Faculty of Health Sciences, Department of Health and Caring Sciences, University of Tromsø, Tromsø, Norway
- The South-Eastern Norway Regional Health Authority, Department of Medicine and Healthcare, Hamar, Norway
| | - France Légaré
- Department of Family Medicine and Emergency Medicine, Université Laval, Québec City, Canada
| | - Krystina B Lewis
- School of Nursing, University of Ottawa, Ottawa, Canada
- University of Ottawa Heart Institute, University of Ottawa, Ottawa, Canada
| | | | - Claudia Rutherford
- School of Psychology, Quality of Life Office, University of Sydney, Camperdown, Australia
- Susan Wakil School of Nursing and Midwifery, Faculty of Medicine and Health, The University of Sydney, Camperdown, Australia
| | - Junqiang Zhao
- School of Nursing, University of Ottawa, Ottawa, Canada
| | - Tamara Rader
- Canadian Agency for Drugs and Technologies in Health (CADTH), Ottawa, Canada
| | - Ian D Graham
- Ottawa Hospital Research Institute, Ottawa, Canada
- School of Epidemiology, Public Health and Preventative Medicine, University of Ottawa, Ottawa, Canada
| | - Dawn Stacey
- School of Nursing, University of Ottawa, Ottawa, Canada
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