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Puliani R, Bhatt Y, Gupta S, R N A, B D T, Jayanna K. A Scoping Review of Barriers and Facilitators for Preconception Care: Lessons for Global Health Policies and Programs. Asia Pac J Public Health 2024; 36:531-541. [PMID: 38736330 DOI: 10.1177/10105395241252867] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 05/14/2024]
Abstract
Preconception care (PCC) encompasses a set of actions taken before pregnancy to support the health and well-being of women before conception to improve maternal and child health (MCH) outcomes. The utilization of PCC services is influenced by multifaceted factors that can either enable or impede women's capacity to access and utilize them effectively. This scoping review examined the barriers and facilitators influencing the utilization of PCC services among women of reproductive age (15-49 years) at both individual and community levels. Through an extensive review of published articles from 2004 to 2021, including peer-reviewed sources, barriers and facilitators were identified. At the individual level, barriers included limited knowledge about PCC, neglect of self-health, and financial constraints. Community-level barriers encompassed insufficient supply of supplements, restricted access to health care, high health care costs, and setbacks due to delayed delivery of MCH services. Conversely, individuals reported that credible sources of information, such as friends, family, and community health volunteers, facilitated their engagement with PCC services. At the community level, facilitators included government-regulated supply chains for supplements and the involvement of community workers in health monitoring. Understanding and addressing these factors can help improve the utilization of PCC services among women of reproductive age (WRA) and improve MCH outcomes.
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Affiliation(s)
- Reedhika Puliani
- Faculty of Life and Allied Health Sciences, MS Ramaiah University of Applied Sciences, Bengaluru, India
| | - Yogita Bhatt
- Faculty of Life and Allied Health Sciences, MS Ramaiah University of Applied Sciences, Bengaluru, India
| | - Soumya Gupta
- School of Health Sciences and Technology, University of Petroleum and Energy Studies, Dehradun, India
| | - Agnita R N
- Karnataka Health Promotion Trust, Bengaluru, India
| | - Tejaswini B D
- Faculty of Life and Allied Health Sciences, MS Ramaiah University of Applied Sciences, Bengaluru, India
| | - Krishnamurthy Jayanna
- Faculty of Life and Allied Health Sciences, MS Ramaiah University of Applied Sciences, Bengaluru, India
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Pothongsangarun K, Li J, Naeowong W, Apirakviriya C, Phutrakool P, Juntamongkol T, Sae-Chueng T, Horpratraporn K, Jaisamrarn U, Santibenchakul S. Reproductive care in Thai women with diabetes mellitus: a descriptive cross-sectional study. Reprod Health 2023; 20:152. [PMID: 37828526 PMCID: PMC10571380 DOI: 10.1186/s12978-023-01694-w] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/06/2023] [Accepted: 10/02/2023] [Indexed: 10/14/2023] Open
Abstract
BACKGROUND Pre-existing diabetes mellitus (DM) is a challenging pregnancy complication as poor glycemic control is associated with adverse maternal and fetal outcomes. In this study, we aimed to investigate DM-related knowledge, attitudes, preconception care practices, and contraceptive prevalence in women with DM. METHODS This descriptive cross-sectional survey was conducted among reproductive-aged Thai women receiving DM treatment at King Chulalongkorn Memorial Hospital between August 1, 2021, and June 30, 2022. Patients with DM who were not pregnant or trying to conceive and could be contacted via the phone were included and a validated self-administered questionnaire was distributed electronically. RESULTS A total of 238 participants were included in the final analysis, yielding 69.4% response rates. The mean (standard deviation) score for knowledge of pregnancy planning and pregnancy-related risks was 6.8 (3.5) out of 15. Only about half of the participants had discussed pregnancy planning with their physicians. Multivariable analysis showed that younger age at DM diagnosis, non-Buddhism, married, higher education, and medical personnel were significantly associated with higher knowledge scores. Women aged > 45 years and those with higher practice scores had significantly higher adjusted odds of using highly effective contraception; the most common methods included male condoms and combined oral contraceptive pills. There was an unmet need for contraception in 9.5% of women with DM. CONCLUSIONS Although highly effective contraception is safe for patients with DM, only about half of our participants used tier one or two contraceptives or had received consultation regarding preconception planning. There was a notable gap in care coordination among specialists; integrating reproductive healthcare into DM therapy would improve access to preconception care.
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Affiliation(s)
- Kritat Pothongsangarun
- Department of Obstetrics and Gynecology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Jiayu Li
- Department of Obstetrics and Gynecology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Witthawat Naeowong
- Department of Internal Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Chayanis Apirakviriya
- Department of Obstetrics and Gynecology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Department of Obstetrics and Gynecology, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
| | - Phanupong Phutrakool
- Chula Data Management Center, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
- Center of Excellence in Preventive & Integrative Medicine, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand.
| | | | - Thita Sae-Chueng
- Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | | | - Unnop Jaisamrarn
- Department of Obstetrics and Gynecology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Center of Excellence in Menopause and Aging Women Health, Department of Obstetrics and Gynecology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
| | - Somsook Santibenchakul
- Department of Obstetrics and Gynecology, Faculty of Medicine, Chulalongkorn University, Bangkok, Thailand
- Department of Obstetrics and Gynecology, King Chulalongkorn Memorial Hospital, Bangkok, Thailand
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Loy SL, Lin J, Cheung YB, Sreedharan AV, Chin X, Godfrey KM, Tan KH, Shek LPC, Chong YS, Leow MKS, Khoo CM, Lee YS, Chan SY, Lek N, Chan JKY, Yap F. Influence of red blood cell indices on HbA1c performance in detecting dysglycaemia in a Singapore preconception cohort study. Sci Rep 2021; 11:20850. [PMID: 34675297 PMCID: PMC8531017 DOI: 10.1038/s41598-021-00445-w] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2021] [Accepted: 10/12/2021] [Indexed: 12/16/2022] Open
Abstract
Abnormalities of red blood cell (RBC) indices may affect glycated haemoglobin (HbA1c) levels. We assessed the influence of haemoglobin (Hb) and mean corpuscular volume (MCV) on the performance of HbA1c in detecting dysglycaemia among reproductive aged women planning to conceive. Women aged 18-45 years (n = 985) were classified as normal (12 ≤ Hb ≤ 16 g/dL and 80 ≤ MCV ≤ 100 fL) and abnormal (Hb < 12 g/dL and/or MCV < 80 fL). The Area Under the Receiver Operating Characteristic (AUROC) curve was used to determine the performance of HbA1c in detecting dysglycaemic status (prediabetes and diabetes). There were 771 (78.3%) women with normal RBC indices. The AUROCs for the normal and abnormal groups were 0.75 (95% confidence interval 0.69, 0.81) and 0.80 (0.70, 0.90), respectively, and were not statistically different from one another [difference 0.04 (- 0.16, 0.08)]. Further stratification by ethnicity showed no difference between the two groups among Chinese and Indian women. However, Malay women with normal RBC indices displayed lower AUROC compared to those with abnormal RBC indices (0.71 (0.55, 0.87) vs. 0.98 (0.93, 1.00), p = 0.002). The results suggest that the performance of HbA1c in detecting dysglycaemia was not influenced by abnormal RBC indices based on low Hb and/or low MCV. However, there may be ethnic variations among them.
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Affiliation(s)
- See Ling Loy
- Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore, 229899, Singapore.
- Duke-NUS Medical School, Singapore, 169857, Singapore.
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, 117609, Singapore.
| | - Jinjie Lin
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore, 229899, Singapore
| | - Yin Bun Cheung
- Program in Health Services and Systems Research and Center for Quantitative Medicine, Duke-NUS Medical School, Singapore, 169857, Singapore
- Tampere Center for Child, Adolescent and Maternal Health Research, Tampere University, 33014, Tampere, Finland
| | | | - Xinyi Chin
- Duke-NUS Medical School, Singapore, 169857, Singapore
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore, 229899, Singapore
| | - Keith M Godfrey
- Medical Research Council Lifecourse Epidemiology Unit, University of Southampton, Southampton, SO16 6YD, UK
- National Institute for Health Research Southampton Biomedical Research Centre, University of Southampton and University Hospital Southampton National Health Service Foundation Trust, Southampton, SO16 6YD, UK
| | - Kok Hian Tan
- Duke-NUS Medical School, Singapore, 169857, Singapore
- Department of Maternal Fetal Medicine, KK Women's and Children's Hospital, Singapore, 229899, Singapore
| | - Lynette Pei-Chi Shek
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, 117609, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, Singapore, 119074, Singapore
| | - Yap Seng Chong
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, 117609, Singapore
- Yong Loo Lin School of Medicine, National University of Singapore, National University Health System, Singapore, 119228, Singapore
| | - Melvin Khee-Shing Leow
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, 117609, Singapore
- Cardiovascular and Metabolic Disorder Programme, Duke-NUS Medical School, Singapore, 169857, Singapore
- Department of Endocrinology, Tan Tock Seng Hospital, Singapore, 308433, Singapore
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 636921, Singapore
| | - Chin Meng Khoo
- Cardiovascular and Metabolic Disorder Programme, Duke-NUS Medical School, Singapore, 169857, Singapore
- Department of Medicine, National University Hospital, Singapore, 119074, Singapore
- Department of Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 117597, Singapore
| | - Yung Seng Lee
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, 117609, Singapore
- Department of Paediatrics, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore
- Khoo Teck Puat-National University Children's Medical Institute, National University Hospital, National University Health System, Singapore, 119074, Singapore
| | - Shiao-Yng Chan
- Singapore Institute for Clinical Sciences, Agency for Science, Technology and Research (A*STAR), Singapore, 117609, Singapore
- Department of Obstetrics and Gynaecology, Yong Loo Lin School of Medicine, National University of Singapore, Singapore, 119228, Singapore
| | - Ngee Lek
- Duke-NUS Medical School, Singapore, 169857, Singapore
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore, 229899, Singapore
| | - Jerry Kok Yen Chan
- Department of Reproductive Medicine, KK Women's and Children's Hospital, Singapore, 229899, Singapore
- Duke-NUS Medical School, Singapore, 169857, Singapore
| | - Fabian Yap
- Duke-NUS Medical School, Singapore, 169857, Singapore.
- Department of Paediatrics, KK Women's and Children's Hospital, Singapore, 229899, Singapore.
- Lee Kong Chian School of Medicine, Nanyang Technological University, Singapore, 636921, Singapore.
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Donovan BM, Breheny PJ, Robinson JG, Baer RJ, Saftlas AF, Bao W, Greiner AL, Carter KD, Oltman SP, Rand L, Jelliffe-Pawlowski LL, Ryckman KK. Development and validation of a clinical model for preconception and early pregnancy risk prediction of gestational diabetes mellitus in nulliparous women. PLoS One 2019; 14:e0215173. [PMID: 30978258 PMCID: PMC6461273 DOI: 10.1371/journal.pone.0215173] [Citation(s) in RCA: 23] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2018] [Accepted: 03/27/2019] [Indexed: 12/18/2022] Open
Abstract
Implementation of dietary and lifestyle interventions prior to and early in pregnancy in high risk women has been shown to reduce the risk of gestational diabetes mellitus (GDM) development later in pregnancy. Although numerous risk factors for GDM have been identified, the ability to accurately identify women before or early in pregnancy who could benefit most from these interventions remains limited. As nulliparous women are an under-screened population with risk profiles that differ from their multiparous counterparts, development of a prediction model tailored to nulliparous women may facilitate timely preventive intervention and improve maternal and infant outcomes. We aimed to develop and validate a model for preconception and early pregnancy prediction of gestational diabetes mellitus based on clinical risk factors for nulliparous women. A risk prediction model was built within a large California birth cohort including singleton live birth records from 2007-2012. Model accuracy was assessed both internally and externally, within a cohort of women who delivered at University of Iowa Hospitals and Clinics between 2009-2017, using discrimination and calibration. Differences in predictive accuracy of the model were assessed within specific racial/ethnic groups. The prediction model included five risk factors: race/ethnicity, age at delivery, pre-pregnancy body mass index, family history of diabetes, and pre-existing hypertension. The area under the curve (AUC) for the California internal validation cohort was 0.732 (95% confidence interval (CI) 0.728, 0.735), and 0.710 (95% CI 0.672, 0.749) for the Iowa external validation cohort. The model performed particularly well in Hispanic (AUC 0.739) and Black women (AUC 0.719). Our findings suggest that estimation of a woman's risk for GDM through model-based incorporation of risk factors accurately identifies those at high risk (i.e., predicted risk >6%) who could benefit from preventive intervention encouraging prompt incorporation of this tool into preconception and prenatal care.
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Affiliation(s)
- Brittney M. Donovan
- Department of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa, United States of America
| | - Patrick J. Breheny
- Department of Biostatistics, University of Iowa College of Public Health, Iowa City, Iowa, United States of America
| | - Jennifer G. Robinson
- Department of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa, United States of America
| | - Rebecca J. Baer
- Department of Pediatrics, University of California San Diego, La Jolla, California, United States of America
- California Preterm Birth Initiative, University of California San Francisco, San Francisco, California, United States of America
| | - Audrey F. Saftlas
- Department of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa, United States of America
| | - Wei Bao
- Department of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa, United States of America
| | - Andrea L. Greiner
- Department of Obstetrics and Gynecology, University of Iowa Carver College of Medicine, Iowa City, Iowa, United States of America
| | - Knute D. Carter
- Department of Biostatistics, University of Iowa College of Public Health, Iowa City, Iowa, United States of America
| | - Scott P. Oltman
- California Preterm Birth Initiative, University of California San Francisco, San Francisco, California, United States of America
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, United States of America
| | - Larry Rand
- California Preterm Birth Initiative, University of California San Francisco, San Francisco, California, United States of America
- Department of Obstetrics, Gynecology & Reproductive Sciences, University of California San Francisco, San Francisco, California, United States of America
| | - Laura L. Jelliffe-Pawlowski
- California Preterm Birth Initiative, University of California San Francisco, San Francisco, California, United States of America
- Department of Epidemiology and Biostatistics, University of California San Francisco, San Francisco, California, United States of America
| | - Kelli K. Ryckman
- Department of Epidemiology, University of Iowa College of Public Health, Iowa City, Iowa, United States of America
- Department of Pediatrics, University of Iowa Carver College of Medicine, Iowa City, Iowa, United States of America
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5
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Olmos P, Borzone G, Poblete A. 47-Fold rise of diabetes in childbearing age Chilean women: Markov model and cost-effectiveness of prevention of birth defects. J Obstet Gynaecol Res 2018; 44:1719-1730. [PMID: 29974600 DOI: 10.1111/jog.13712] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/18/2017] [Accepted: 05/25/2018] [Indexed: 11/27/2022]
Abstract
AIM Prevalence of type 2 diabetes mellitus (T2DM) during childbearing age in Chile had a 47-fold rise in 7 years, reaching 120 844 women, half of which are unaware of their condition. We aimed to project pregnancies and births among Chilean women of childbearing age (WCBA) with T2DM and report the incidence of birth defects and the associated years of life lost and lifetime costs. METHODS Markov model of cohort of WCBA with T2DM (WCBA-DM) with a 20-year time horizon (2018-2037), using data from previous studies. Two scenarios were assessed: scenario A: no universal detection of T2DM and scenario B: universal screening of T2DM using glycosylated hemoglobin levels. Both lifetime costs and disability-adjusted life years (DALY) were calculated with a 5% discount rate (US$ of 2017). RESULTS In scenario A, 12 163 infants with birth defects could be born among the analyzed cohort, resulting in 243 260 years of life lost, 296 652 DALY and in lifetime costs of US$ 1 957 657 966. In scenario B, the first three figures could be reduced by 70.4% to 3599 infants with birth defects, 71 980 years of life lost and 87 794 DALY. Due to the addition of diabetes screening and new patient costs to scenario B, there would be a lesser reduction (67.3%) in total lifetime costs, to US$ 640 669 296. CONCLUSION Screening of diabetes in WCBA would yield a 20-year reduction of 70.4% in the number of infants with birth defects, years of life lost and DALY. Total lifetime costs could be reduced by 67.3%.
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Affiliation(s)
- Pablo Olmos
- First Center of Biomedical Engineering, College of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.,Trinidad Initiative, College of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.,Department of Obstetrics and Gynecology, College of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile.,Department of Nutrition, Diabetes and Metabolism, College of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Gisella Borzone
- Department of Respiratory Diseases, College of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
| | - Andrés Poblete
- Department of Obstetrics and Gynecology, College of Medicine, Pontificia Universidad Católica de Chile, Santiago, Chile
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Marshall C, Adams S, Dyer W, Schmittdiel J. Opportunities to Reduce Diabetes Risk in Women of Reproductive Age: Assessment and Treatment of Prediabetes within a Large Integrated Delivery System. Womens Health Issues 2017; 27:666-672. [PMID: 28694019 DOI: 10.1016/j.whi.2017.06.001] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/18/2016] [Revised: 05/31/2017] [Accepted: 06/02/2017] [Indexed: 02/03/2023]
Abstract
BACKGROUND Preventing diabetes before pregnancy may be important to improve maternal and infant outcomes. Although the preconception period is a crucial time to focus on chronic disease prevention, little is known about preventive services for reproductive-aged women at risk of developing diabetes. METHODS Using electronic health record data from patients at Kaiser Permanente Northern California, we identified 21,965 nonpregnant women aged 18 to 44 with incident prediabetes (PDM; fasting plasma glucose [FPG] = 100-125 or glycated hemoglobin A1c = 5.7%-6.4%) between 2007 and 2010. We looked for evidence of a "clinical response" to PDM in the 6 months after laboratory testing, defined as retesting of blood glucose levels, referral or attendance to health education, diagnosis of PDM, metformin initiation, or a clinical note of discussion of PDM. Multilevel models were used to examine the relationship between patient characteristics and clinical response, and to assess provider-level variation. RESULTS Fewer than one-half of women had a documented clinical response to the PDM-range laboratory result. Women with higher FPG values and body mass indexes were more likely to have a PDM diagnosis (FPG 120-125 vs. 100-119: OR, 1.96; 95% CI, 1.78-2.17; body mass index, 30-34 kg/m2 vs. <25 kg/m2: OR, 1.30; 95% CI, 1.13-1.48) and have 'PDM' recorded in the notes (FPG 120-125 vs. 100-119: OR, 1.15; 95% CI, 1.06-1.26; body mass index: 30-34 kg/m2 vs. <25 kg/m2: OR, 1.58; 95% CI, 1.44-1.74). Provider-level variation was modest, except for metformin initiation (intraclass correlation coefficient, 0.8; p < .01). CONCLUSIONS Low clinical response to PDM among women of reproductive age suggests there are missed opportunities for diabetes prevention among this vulnerable population.
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Affiliation(s)
- Cassondra Marshall
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA.
| | - Sara Adams
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Wendy Dyer
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
| | - Julie Schmittdiel
- Division of Research, Kaiser Permanente Northern California, Oakland, California, USA
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Temel S, van Voorst SF, de Jong-Potjer LC, Waelput AJM, Cornel MC, de Weerd SR, Denktaş S, Steegers EAP. The Dutch national summit on preconception care: a summary of definitions, evidence and recommendations. J Community Genet 2015; 6:107-15. [PMID: 25394755 PMCID: PMC4286565 DOI: 10.1007/s12687-014-0204-2] [Citation(s) in RCA: 27] [Impact Index Per Article: 2.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/03/2014] [Accepted: 10/09/2014] [Indexed: 10/24/2022] Open
Affiliation(s)
- Sevilay Temel
- />Department of Obstetrics and Gynaecology, Division of Obstetrics and Prenatal Medicine, Erasmus University Medical Centre, SK 4130, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Sabine F. van Voorst
- />Department of Obstetrics and Gynaecology, Division of Obstetrics and Prenatal Medicine, Erasmus University Medical Centre, SK 4130, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Lieke C. de Jong-Potjer
- />Department of Obstetrics and Gynaecology, Division of Obstetrics and Prenatal Medicine, Erasmus University Medical Centre, SK 4130, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Adja J. M. Waelput
- />Department of Obstetrics and Gynaecology, Division of Obstetrics and Prenatal Medicine, Erasmus University Medical Centre, SK 4130, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Martina C. Cornel
- />Department of Clinical Genetics, Section of Community Genetics, EMGO Institute for Health and Care Research, VU University Medical Centre, P.O. Box 7057, 1007 MB Amsterdam, The Netherlands
| | - Sabina Rombout de Weerd
- />Department of Obstetrics and Gynaecology, Albert Schweitzer Hospital, P.O. Box 444, 3300 AK Dordrecht, The Netherlands
| | - Semiha Denktaş
- />Department of Obstetrics and Gynaecology, Division of Obstetrics and Prenatal Medicine, Erasmus University Medical Centre, SK 4130, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
| | - Eric A. P. Steegers
- />Department of Obstetrics and Gynaecology, Division of Obstetrics and Prenatal Medicine, Erasmus University Medical Centre, SK 4130, P.O. Box 2040, 3000 CA Rotterdam, The Netherlands
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Glinianaia SV, Tennant PWG, Crowder D, Nayar R, Bell R. Fifteen-year trends and predictors of preparation for pregnancy in women with pre-conception Type 1 and Type 2 diabetes: a population-based cohort study. Diabet Med 2014; 31:1104-13. [PMID: 24702102 DOI: 10.1111/dme.12460] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/21/2013] [Revised: 01/20/2014] [Accepted: 03/31/2014] [Indexed: 11/26/2022]
Abstract
AIMS To investigate trends in indicators of preparation for pregnancy in women with Type 1 and Type 2 diabetes and explore their predictors. METHODS Data on 2293 pregnancies delivered during 1996-2010 by women with Type 1 (n = 1753) and Type 2 (n = 540) diabetes were obtained from the Northern Diabetes in Pregnancy Survey. Multiple logistic regression was used to analyse the relationship between potential predictors and three indicators of inadequate pregnancy preparation: non-attendance for pre-conception care; no pre-conception folate consumption; and peri-conception HbA(1c) ≥ 53 mmol/mol (≥ 7%). RESULTS Overall, 40.3% of women with diabetes attended pre-conception care, 37.4% reported pre-conception folate consumption, and 28.2% had adequate peri-conception HbA1c . For all patients, pre-conception folate consumption improved over time, while peri-conception glucose control did not. Attendance for pre-conception care for women with Type 1 diabetes significantly declined. Residence in deprived areas, smoking and younger maternal age (for women aged < 35 years) were independently associated with all three indicators of inadequate preparation for pregnancy. Additional predictors of inadequate peri-conception HbA(1c) were: Type 1 diabetes (adjusted odds ratio 5.51, 95% CI 2.71-11.22), longer diabetes history (adjusted odds ratio 1.16, 95% CI 1.09-1.23 per year increase for those with < 15 years' diabetes duration), non-white ethnicity (adjusted odds ratio 3.13, 95% CI 1.23-7.97) and higher BMI (adjusted odds ratio 1.05, 95% CI 1.01-1.09 per 1-kg/m(2) increase). Non-attendance for pre-conception care was additionally associated with Type 2 diabetes (P = 0.003) and multiparity (P < 0.0001). CONCLUSIONS There are socio-demographic inequalities in preparation for pregnancy among women with diabetes. Women with Type 2 diabetes were less likely to attend pre-conception care. Pre-conception services need to be designed to maximize uptake in all groups.
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Affiliation(s)
- S V Glinianaia
- Institute of Health & Society, Newcastle University, Newcastle upon Tyne, UK
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Singh H, Murphy HR, Hendrieckx C, Ritterband L, Speight J. The challenges and future considerations regarding pregnancy-related outcomes in women with pre-existing diabetes. Curr Diab Rep 2013; 13:869-76. [PMID: 24013963 PMCID: PMC3836194 DOI: 10.1007/s11892-013-0417-5] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 02/06/2023]
Abstract
Ineffective management of blood glucose levels during preconception and pregnancy has been associated with severe maternal and fetal complications in women with pre-existing diabetes. Studies have demonstrated that preconception counseling and pre-pregnancy care can dramatically reduce these risks. However, pregnancy-related outcomes in women with diabetes continue to be less than ideal. This review highlights and discusses a variety of patient, provider, and organizational factors that can contribute to these suboptimal outcomes. Based on the findings of studies reviewed and authors' clinical and research experiences, recommendations have been proposed focusing on various aspects of care provided, including improved accessibility to effective preconception and pregnancy-related care and better organized clinic consultations that are sensitive to women's diabetes and pregnancy needs.
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Affiliation(s)
- Harsimran Singh
- Department of Psychiatry & Neurobehavioral Sciences, Division of Behavioral Health and Technology, University of Virginia School of Medicine, 310 Old Ivy Way, Suite 102, Charlottesville, VA 22903, USA, Phone: (434) 924 5988 (for Dr. Ritterband)
- ; Phone: (434) 982 1022 (for Dr. Singh, Corresponding author)
| | - Helen R. Murphy
- Metabolic Research Laboratories and NIHR Cambridge Biomedical Centre, Level 4, Institute of Metabolic Science Box 289 Addenbrookes Hospital, Cambridge, CB2 0QQ, UK. Phone: +44 (0) 1223 769079
| | - Christel Hendrieckx
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Australia – Vic, 570 Elizabeth Street, Melbourne 3000, Australia. Phone: +61 (0) 3 8648 1860 (for Dr. Hendrieckx), Phone: +61(0) 3 8648 1850 (for Dr. Speight)
- Centre for Mental Health and Wellbeing Research, School of Psychology, Deakin University, 221 Burwood Highway, Burwood, Australia
| | - Lee Ritterband
- Department of Psychiatry & Neurobehavioral Sciences, Division of Behavioral Health and Technology, University of Virginia School of Medicine, 310 Old Ivy Way, Suite 102, Charlottesville, VA 22903, USA, Phone: (434) 924 5988 (for Dr. Ritterband)
| | - Jane Speight
- The Australian Centre for Behavioural Research in Diabetes, Diabetes Australia – Vic, 570 Elizabeth Street, Melbourne 3000, Australia. Phone: +61 (0) 3 8648 1860 (for Dr. Hendrieckx), Phone: +61(0) 3 8648 1850 (for Dr. Speight)
- Centre for Mental Health and Wellbeing Research, School of Psychology, Deakin University, 221 Burwood Highway, Burwood, Australia
- AHP Research, Uxbridge, UK
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10
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Xaverius PK, Salas J, Kiel D. Differences in pregnancy planning between women aged 18-44, with and without diabetes: behavioral risk factor surveillance system analysis. Diabetes Res Clin Pract 2013; 99:63-8. [PMID: 23122724 DOI: 10.1016/j.diabres.2012.09.029] [Citation(s) in RCA: 9] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 06/19/2012] [Accepted: 09/10/2012] [Indexed: 11/19/2022]
Abstract
AIM Assess differences in pregnancy planning and behavioral risk factors among women of reproductive age, by diabetes status. METHODS A secondary analysis of cross-sectional data from the Behavioral Risk Factor Surveillance System (2002 and 2004) was conducted. Subjects were 18-44-year-old, non-pregnant, fertile women, grouped into two categories: non-diabetes (n=57,436), and diabetes (n=2929). Multivariable logistic regression was used to estimate adjusted prevalence odds ratios and 95% confidence intervals. RESULTS Approximately 93% of women of reproductive age with or without diabetes are not intending a pregnancy, and yet among them, women with diabetes are 22% more likely not to use any birth control at all. Women with diabetes are 3.4 times more likely to be obese, 1.4 times more likely to be overweight, 35% less likely to drink any alcohol, and 27% less likely to binge drink alcohol, than women without diabetes. There were no differences in risk factors between women with diabetes that were and were not intending a pregnancy. CONCLUSIONS Birth control nonuse for women with diabetes not intending a pregnancy and lack of behavioral change for women with diabetes intending a pregnancy, combined with an increasing prevalence in diabetes, will likely result in significant economic and social tolls on society.
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Affiliation(s)
- Pamela K Xaverius
- Saint Louis University, School of Public Health, Department of Epidemiology, Saint Louis, MO 63104, United States.
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11
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Campbell SK, Lynch J, Esterman A, McDermott R. Pre-pregnancy predictors of diabetes in pregnancy among Aboriginal and Torres Strait Islander women in North Queensland, Australia. Matern Child Health J 2012; 16:1284-92. [PMID: 21959925 DOI: 10.1007/s10995-011-0889-3] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
To identify pre-pregnancy risk factors for diabetes in pregnancy among a cohort of Australian Indigenous women. Data on 1,009 Indigenous women of childbearing age who participated in a 1998-2000 health screening program in far north Queensland were linked to Queensland hospitalisations data. Women who attended hospital after their health check for a pregnancy-related condition were identified. The data on women who were hospitalised for birth were also linked to Queensland perinatal data. Of 220 women who gave birth, 23 had diabetes in the pregnancy following their health check. A strong predictor of having a subsequent pregnancy affected by diabetes was suboptimal glucose control before conception. The presence of the metabolic syndrome predicted over a threefold increase in risk among non-diabetic women after adjustment for age and ethnicity (PR, 3.50; 95% CI, 1.54-8.00). For each 1-cm increase in waist circumference, there was an age-adjusted increase in risk of 4% for diabetes in pregnancy (1.04; 1.01-1.06). For each 1-mmHg increase in blood pressure (systolic and diastolic), there was an age-adjusted increase in risk of 3% (1.03; 1.01-1.05 and 1.03; 1.00-1.07, respectively). Associations between hypercholesterolaemia and dyslipidaemia and diabetes in the subsequent pregnancy were diminished after adjustment for age and ethnicity. The risk for women with "hyper-triglyceridaemic waist" phenotype before pregnancy was diminished by adjustment for age, ethnicity and baseline fasting glucose. Alcohol intake, smoking, level of physical activity and red cell folate showed little effect. Identification of women at particularly high risk for future diabetes in pregnancy, given their pre-pregnancy health, is important so that they can manage their risks and where overweight or obesity is a factor, interventions aimed at weight management should be implemented.
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Affiliation(s)
- Sandra K Campbell
- School of Nursing and Midwifery, Division of Health Sciences, University of South Australia, City East Campus North Terrace (P5-21), GPO Box 2471, Adelaide, SA 5001, Australia.
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12
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McCorry NK, Hughes C, Spence D, Holmes VA, Harper R. Pregnancy planning and diabetes: a qualitative exploration of women's attitudes toward preconception care. J Midwifery Womens Health 2012; 57:396-402. [PMID: 22758361 DOI: 10.1111/j.1542-2011.2011.00143.x] [Citation(s) in RCA: 32] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
INTRODUCTION Seeking preconception care is recognized as an important health behavior for women with preexisting diabetes. Yet many women with diabetes do not seek care or advice until after they are pregnant, and many enter pregnancy with suboptimal glycemic control. This study explored the attitudes about pregnancy and preconception care seeking in a group of nonpregnant women with type 1 diabetes mellitus. METHODS In-depth semistructured interviews were completed with 14 nonpregnant women with type 1 diabetes. RESULTS Analysis of the interview data revealed 4 main themes: 1) the emotional complexity of childbearing decisions, 2) preferences for information related to pregnancy, 3) the importance of being known by your health professional, and 4) frustrations with the medical model of care. DISCUSSION These findings raise questions about how preconception care should be provided to women with diabetes and highlight the pivotal importance of supportive, familiar relationships between health professionals and women with diabetes in the provision of individualized care and advice. By improving the quality of relationships and communication between health care providers and patients, we will be better able to provide care and advice that is perceived as relevant to the individual, whatever her stage of family planning.
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13
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Collier SA, Mulholland C, Williams J, Mersereau P, Turay K, Prue C. A qualitative study of perceived barriers to management of diabetes among women with a history of diabetes during pregnancy. J Womens Health (Larchmt) 2011; 20:1333-9. [PMID: 21740191 DOI: 10.1089/jwh.2010.2676] [Citation(s) in RCA: 49] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND Uncontrolled diabetes during pregnancy can cause adverse maternal and infant outcomes. This study explored barriers to glycemic control before, during, and after pregnancy and describes knowledge, attitudes, and behaviors among pregnant women with pregestational diabetes (PGDM) or gestational diabetes (GDM). METHODS Focus groups were conducted in the Atlanta area among white, black, and Hispanic women who had diabetes during a recent pregnancy. Participants were a convenience sample drawn from a variety of sources. Nine focus groups were held with women who had GDM, and seven focus groups were held with women who had PGDM. RESULTS Participants identified five main areas of barriers to management of diabetes during pregnancy: financial barriers and difficulties accessing care, barriers to maintaining a healthy diet and exercising, communication difficulties, lack of social support, and barriers related to diabetes care. Participants with GDM had general awareness of possible diabetes complications but frequently could not name specific effects of diabetes on the woman or child during and after pregnancy. Most were unaware of their risk for developing type 2 diabetes later. Participants with PGDM expressed concern about the increased risk of adverse outcomes for the baby; most knew the importance of maintaining glycemic control during pregnancy. Low rates of pregnancy planning were reported in both groups. Pregnancy planning was not identified as a strategy to ensure a healthy baby. CONCLUSIONS The barriers to achieving glycemic control during pregnancy identified in this study could help inform future efforts to assist women in achieving optimal prepregnancy and intrapregnancy glycemic control.
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Affiliation(s)
- Sarah A Collier
- Atlanta Research and Education Foundation contractor for Centers for Disease Control and Prevention (CDC), National Center for Emerging and Zoonotic Infectious Diseases (NCEZID), Atlanta, Georgia 30333, USA
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14
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Mortagy I, Kielmann K, Baldeweg SE, Modder J, Pierce MB. Integrating preconception care for women with diabetes into primary care: a qualitative study. Br J Gen Pract 2010; 60:815-21. [PMID: 21062548 PMCID: PMC2965966 DOI: 10.3399/bjgp10x532594] [Citation(s) in RCA: 18] [Impact Index Per Article: 1.2] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/15/2010] [Revised: 02/16/2010] [Accepted: 05/13/2010] [Indexed: 10/31/2022] Open
Abstract
BACKGROUND National guidelines emphasise the need to deliver preconception care to women of childbearing age. However, uptake of the services among women with diabetes in the UK is low. Questions arising include how best to deliver preconception care and what the respective roles of primary versus secondary caregivers might be. AIM To explore the perspective of GPs and secondary care health professionals on the role of GPs in delivering preconception care to women with diabetes. DESIGN OF STUDY Qualitative, cross-sectional study. SETTING A London teaching hospital and GP practices in the hospital catchment area. METHOD Semi-structured interviews with GPs and members of the preconception care team in secondary care. Thematic analysis using the framework approach. RESULTS GPs and secondary care professionals differ in their perception of the number of women with diabetes requiring preconception care and the extent to which preconception care should be integrated into GPs' roles. Health professionals agreed that GPs have a significant role to play and that delivery of preconception care is best shared between primary and secondary care. However, the lack of clear guidelines and shared protocols detailing the GP's role presents a challenge to implementing 'shared' preconception care. CONCLUSION GPs should be more effectively involved in providing preconception care to women with diabetes. Organisational and policy developments are required to support GPs in playing a role in preconception care. This study's findings stress the importance of providing an integrated approach to ensure continuity of care and optimal pregnancy preparation for women with diabetes.
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Affiliation(s)
- Iman Mortagy
- Centre for Maternal and Child Enquiries, Research and Development, London.
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15
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Kitzmiller JL, Wallerstein R, Correa A, Kwan S. Preconception care for women with diabetes and prevention of major congenital malformations. ACTA ACUST UNITED AC 2010; 88:791-803. [DOI: 10.1002/bdra.20734] [Citation(s) in RCA: 66] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/15/2023]
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Abstract
According to the American Diabetes Association, unplanned pregnancies in women with diabetes could lead to abnormal metabolic control, which causes fetal and maternal complications. Preconception planning can decrease these risks. This article reports on the progress in preconception planning over the past 2 years.
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Affiliation(s)
- Denise Charron-Prochownik
- Health Promotion and Development, School of Nursing, University of Pittsburgh, 440 Victoria Building, Pittsburgh, PA 15261, USA.
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