Evidence map›Paper›PMID 30322376›Full record

ArticleBMC pregnancy and childbirth2018

Development of an integrated, district-wide approach to pre-pregnancy management for women with pre-existing diabetes in a multi-ethnic population.

Maryam Sina, Freya MacMillan, Tinashe Dune, Navodya Balasuriya, Nouran Khouri, Ngan Nguyen, Vasyngpong Jongvisal, Xiang Hui Lay, David Simmons

Open access · goldAbstract read
In one paragraph

Article in BMC pregnancy and childbirth, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
3.0field-weighted citation impact, top 8% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 26 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  8. Article
  9. Applying a Women's Health Lens to Endocrine and Metabolic Disorders.Indian journal of endocrinology and metabolism
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors at 1 institution in 1 country.

Maryam SinaWestern Sydney University, Sydney, NSW, 2751, Australia.
Freya MacMillanWestern Sydney University, Sydney, NSW, 2751, Australia.
Tinashe DuneWestern Sydney University, Sydney, NSW, 2751, Australia.
Navodya BalasuriyaWestern Sydney University, Sydney, NSW, 2751, Australia.
Nouran KhouriWestern Sydney University, Sydney, NSW, 2751, Australia.
Ngan NguyenWestern Sydney University, Sydney, NSW, 2751, Australia.
Vasyngpong JongvisalWestern Sydney University, Sydney, NSW, 2751, Australia.
Xiang Hui LayWestern Sydney University, Sydney, NSW, 2751, Australia.
David SimmonsWestern Sydney University, Sydney, NSW, 2751, Australia. Da.Simmons@westernsydney.edu.au.
Western Sydney University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundPoor diabetes management prior to conception, results in increased rates of fetal malformations and other adverse pregnancy outcomes. We describe the development of an integrated, pre-pregnancy management strategy to improve pregnancy outcomes among women of reproductive age with diabetes in a multi-ethnic district.

methodsThe strategy included (i) a narrative literature review of contraception and pre-pregnancy interventions for women with diabetes and development of a draft plan; (ii) a chart review of pregnancy outcomes (e.g. congenital malformations, neonatal hypoglycaemia and caesarean sections) among women with type 1 diabetes (T1D) (n = 53) and type 2 diabetes (T2D) (n = 46) between 2010 and 2015 (iii) interview surveys of women with T1D and T2D (n = 15), and local health care professionals (n = 13); (iv) two focus groups (n = 4) and one-to-one interviews with women with T1D and T2D from an Australian background (n = 5), women with T2D from cultural and linguistically diverse (CALD) (n = 7) and indigenous backgrounds (n = 1) and partners of CALD women (n = 3); and (v) two group meetings, one comprising predominantly primary care, and another comprising district-wide multidisciplinary inter-sectoral professionals, where components of the intervention strategy were finalised using a Delphi approach for development of the final plan.

resultsOur literature review showed that a range of interventions, particularly multifaceted educational programs for women and healthcare professionals, significantly increased contraception uptake, and reduced adverse outcomes of pregnancy (e.g. malformations and stillbirth). Our chart-review showed that local rates of adverse pregnancy outcomes were similarly poor among women with both T1D and T2D (e.g. major congenital malformations [9.1% vs 8.9%] and macrosomia [34.7% vs 24.4%]). Challenges included lack of knowledge among women and healthcare professionals relating to diabetes management and limited access to specialist pre-pregnancy care. Group meetings led to a consensus to develop a district-wide approach including healthcare professional and patient education and a structured approach to identification and optimisation of self-management, including contraception, in women of reproductive age with diabetes.

conclusionsSufficient evidence exists for consensus on a district-wide strategy to improve pre-pregnancy management among women with pre-existing diabetes.

Indexed as

AdultCongenital AbnormalitiesConsensus Statements as TopicDelphi TechniqueDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2FemaleFetal MacrosomiaFocus GroupsHealth Knowledge, Attitudes, PracticeHealth PersonnelHumansInterviews as TopicPatient Education as TopicPreconception CarePregnancyContraceptionIntervention programsMalformationsPre-pregnancy careType 1 diabetesType 2 diabetes

Identifiers

PMID30322376
PMCPMC6190660
OpenAlexW2896490406

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.