Developing a preconception medical record audit tool for general practice: a multimethod study
Nishadi N. Withanage A B * , Jessica R. Botfield A B , Sharon James A B , Kirsten I. Black B C , Sharon Cameron D Danielle Mazza A BA
B
C
D
Abstract
Preconception health risk factors documented in general practice electronic medical records help general practitioners (GPs) understand the proportion and type of risks among women attending their practice. We aimed to collaborate with GPs to develop an audit tool for collecting preconception health data from structured electronic medical record fields.
This was a three-phase multimethod study. In Phase 1, we developed a preliminary audit tool informed by the literature. In Phase 2, we collaborated with GPs for feedback. In Phase 3, we finalised the audit tool.
The preliminary audit tool comprised 25 preconception health risk factors, of which three were removed following GP feedback (second-hand smoke, social history, history of sexually transmitted infections). The final audit tool comprised 22 preconception health risk factors.
This audit tool may assist researchers in understanding the proportion of patients visiting general practice with preconception health risk factors, thereby facilitating the future development of a screening process that may be used to identify and provide preconception care to women who may most benefit from it.
Keywords: audit, general practice, medical records, preconception care, pre-pregnancy care, primary care, reproductive age, women.
References
Atlass J, Menke M, Parks WT, Catov JM (2020) Pre-conception blood pressure and evidence of placental malperfusion. BMC Pregnancy and Childbirth 20, 25.
| Crossref | Google Scholar |
Barker M, Dombrowski SU, Colbourn T, Fall CHD, Kriznik NM, Lawrence WT, Norris SA, Ngaiza G, Patel D, Skordis-Worrall J, Sniehotta FF, Steegers-Theunissen R, Vogel C, Woods-Townsend K, Stephenson J (2018) Intervention strategies to improve nutrition and health behaviours before conception. The Lancet 391, 1853-1864.
| Crossref | Google Scholar |
Batra P, Mangione CM, Cheng E, Steers WN, Nguyen TA, Bell D, Kuo AA, Gregory KD (2018) A cluster randomized controlled trial of the MyFamilyPlan online preconception health education tool. American Journal of Health Promotion 32, 897-905.
| Crossref | Google Scholar | PubMed |
Bello JK, Salas J, Grucza R (2022) Preconception health service provision among women with and without substance use disorders. Drug and Alcohol Dependence 230, 109194.
| Crossref | Google Scholar | PubMed |
Brown P, Marquard J, Amster B, Romoser M, Friderici J, Goff S, Fisher D (2014) What do physicians read (and ignore) in electronic progress notes? Applied Clinical Informatics 5, 430-444.
| Crossref | Google Scholar | PubMed |
Canaway R, Boyle DI, Manski-Nankervis JAE, Bell J, Hocking JS, Clarke K, Clark M, Gunn JM, Emery JD (2019) Gathering data for decisions: best practice use of primary care electronic records for research. Medical Journal of Australia 210, S12-S16.
| Crossref | Google Scholar | PubMed |
Cho LD, Rabinowitz G, Goytia C, Andreadis K, Huang H-H, Benda NC, Lin JJ, Horowitz C, Kaushal R, Ancker JS, Poeran J (2023) Development of a novel instrument to characterize telemedicine programs in primary care. BMC Health Services Research 23, 1274.
| Crossref | Google Scholar | PubMed |
De-Regil LM, Peña-Rosas JP, Fernández-Gaxiola AC, Rayco-Solon P (2015) Effects and safety of periconceptional oral folate supplementation for preventing birth defects. Cochrane Database of Systematic Reviews 2015(12), CD007950.
| Crossref | Google Scholar |
Dean SV, Lassi ZS, Imam AM, Bhutta ZA (2014) Preconception care: closing the gap in the continuum of care to accelerate improvements in maternal, newborn and child health. Reproductive Health 11, S1.
| Crossref | Google Scholar |
Donald S (2024) Improving the uptake of highly effective contraception by women using teratogenic medications. Medical Journal of Australia 221, 365-366.
| Crossref | Google Scholar |
Dorney E, Black KI (2018) Preconception care. Australian Journal of General Practice 47, 424-429.
| Crossref | Google Scholar | PubMed |
Elliott-Rudder M, Harding C, McGirr J, Seal A, Pilotto L (2017) Using electronic medical records to assess the rate of treatment for osteoporosis in Australia. Australian Family Physician 46, 508-512.
| Google Scholar | PubMed |
Floyd RL, Jack BW, Cefalo R, Atrash H, Mahoney J, Herron A, Husten C, Sokol RJ (2008) The clinical content of preconception care: alcohol, tobacco, and illicit drug exposures. American Journal of Obstetrics and Gynecology 199, S333-S339.
| Crossref | Google Scholar | PubMed |
Guest G, Bunce A, Johnson L (2006) How many interviews are enough? An experiment with data saturation and variability. Field Methods 18, 59-82.
| Crossref | Google Scholar |
Haas R, Busija L, Gorelik A, O’Connor DA, Pearce C, Mazza D, Buchbinder R (2021) Patterns of care for people presenting to Australian general practice with musculoskeletal complaints based on routinely collected data: protocol for an observational cohort study using the Population Level Analysis and Reporting (POLAR) database. British Medical Journal open 11, e055528.
| Crossref | Google Scholar |
Hunter B, Biezen R, Alexander K, Lumsden N, Hallinan C, Wood A, McMorrow R, Jones J, Nelson C, Manski-Nankervis J-A (2020) Future Health Today: codesign of an electronic chronic disease quality improvement tool for use in general practice using a service design approach. BMJ Open 10, e040228.
| Crossref | Google Scholar | PubMed |
Jack BW, Atrash H, Coonrod DV, Moos M-K, O’Donnell J, Johnson K (2008) The clinical content of preconception care: an overview and preparation of this supplement. American Journal of Obstetrics and Gynecology 199, S266-S279.
| Crossref | Google Scholar | PubMed |
Kocaballi AB, Ijaz K, Laranjo L, Quiroz JC, Rezazadegan D, Tong HL, Willcock S, Berkovsky S, Coiera E (2020) Envisioning an artificial intelligence documentation assistant for future primary care consultations: a co-design study with general practitioners. Journal of the American Medical Informatics Association 27, 1695-1704.
| Crossref | Google Scholar | PubMed |
Landkroon AP, de Weerd S, van Vliet-Lachotzki E, Steegers EAP (2009) Validation of an internet questionnaire for risk assessment in preconception care. Public Health Genomics 13, 89-94.
| Crossref | Google Scholar | PubMed |
Manca DP (2015) Do electronic medical records improve quality of care? Yes. Canadian Family Physician 61, 846-847.
| Google Scholar | PubMed |
Mazza D, Chapman A, Michie S (2013) Barriers to the implementation of preconception care guidelines as perceived by general practitioners: a qualitative study. BMC Health Services Research 13, 36.
| Crossref | Google Scholar |
McInnes DK, Saltman DC, Kidd MR (2006) General practitioners’ use of computers for prescribing and electronic health records: results from a national survey. Medical Journal of Australia 185, 88-91.
| Crossref | Google Scholar | PubMed |
Monaghan T, Manski-Nankervis J-A, Canaway R (2020) Big data or big risk: general practitioner, practice nurse and practice manager attitudes to providing de-identified patient health data from electronic medical records to researchers. Australian Journal of Primary Health 26, 466-471.
| Crossref | Google Scholar | PubMed |
Montanaro C, Robson L, Binnington L, Winters N, Brown HK (2023) Validating PreCHAT: a digital preconception health risk assessment tool to improve reproductive, maternal and child health. Canadian Journal of Nursing Research 55, 206-215.
| Crossref | Google Scholar |
Morris RL, Ruddock A, Gallacher K, Rolfe C, Giles S, Campbell S (2021) Developing a patient safety guide for primary care: a co-design approach involving patients, carers and clinicians. Health Expectations 24, 42-52.
| Crossref | Google Scholar | PubMed |
Newington L, Wells M, Begum S, Lavender AJ, Markham S, Tracy O, Alexander CM (2023) Development of a framework and research impact capture tool for nursing, midwifery, allied health professions, healthcare science, pharmacy and psychology (NMAHPPs). BMC Health Services Research 23, 433.
| Crossref | Google Scholar | PubMed |
Peiris D, Agaliotis M, Patel B, Patel A (2013) Validation of a general practice audit and data extraction tool. Australian Family Physician 42, 816-819.
| Google Scholar | PubMed |
Poels M, van Stel HF, Franx A, Koster MP (2018) The effect of a local promotional campaign on preconceptional lifestyle changes and the use of preconception care. The European Journal of Contraception & Reproductive Health Care 23, 38-44.
| Crossref | Google Scholar | PubMed |
Rahimi A, Liaw S-T, Taggart J, Ray P, Yu H (2014) Validating an ontology-based algorithm to identify patients with type 2 diabetes mellitus in electronic health records. International Journal of Medical Informatics 83, 768-778.
| Crossref | Google Scholar | PubMed |
Ray JG, O’brien TE, Chan WS (2001) Preconception care and the risk of congenital anomalies in the offspring of women with diabetes mellitus: a meta-analysis. Quarterly Journal of Medicine: An International Journal of Medicine 94, 435-444.
| Crossref | Google Scholar |
Robbins C, Boulet SL, Morgan I, D’Angelo DV, Zapata LB, Morrow B, Sharma AJ, Kroelinger CD (2018) Disparities in preconception health indicators—behavioral risk factor surveillance system, 2013–2015, and pregnancy risk assessment monitoring system, 2013–2014. Morbidity and Mortality Weekly Report Surveillance Summaries 67, 1-16.
| Crossref | Google Scholar | PubMed |
Saat JJEH, Fransen GAJ, Naumann E, van der Velden K, Assendelft WJJ (2023) Development of a checklist to assess potentially effective components in combined lifestyle interventions for children with overweight or obesity. PLoS ONE 18, e0289481.
| Crossref | Google Scholar | PubMed |
Sanders EB-N, Stappers PJ (2008) Co-creation and the new landscapes of design. Co-design 4, 5-18.
| Crossref | Google Scholar |
Schirm E, Meijer WM, Tobi H, de Jong-van den Berg LTW (2004) Drug use by pregnant women and comparable non-pregnant women in The Netherlands with reference to the Australian classification system. European Journal of Obstetrics & Gynecology and Reproductive Biology 114, 182-188.
| Crossref | Google Scholar | PubMed |
Schoenaker DAJM, Stephenson J, Connolly A, Shillaker S, Fishburn S, Barker M, Godfrey KM, Alwan NA, UK Preconception Partnership (2022) Characterising and monitoring preconception health in England: a review of national population-level indicators and core data sources. Journal of Developmental Origins of Health and Disease 13(2), 137-150.
| Crossref | Google Scholar |
Schummers L, Hutcheon JA, Bodnar LM, Lieberman E, Himes KP (2015) Risk of adverse pregnancy outcomes by prepregnancy body mass index: a population-based study to inform prepregnancy weight loss counseling. Obstetrics and Gynecology 125, 133-143.
| Crossref | Google Scholar | PubMed |
Shannon GD, Alberg C, Nacul L, Pashayan N (2014) Preconception healthcare delivery at a population level: construction of public health models of preconception care. Maternal and Child Health Journal 18, 1512-1531.
| Crossref | Google Scholar | PubMed |
Slattery P, Saeri AK, Bragge P (2020) Research co-design in health: a rapid overview of reviews. Health Research Policy and Systems 18, 17.
| Crossref | Google Scholar |
Smeets M, Vaes B, Aertgeerts B, Raat W, Penders J, Vercammen J, Droogne W, Mullens W, Janssens S (2020) Impact of an extended audit on identifying heart failure patients in general practice: baseline results of the OSCAR-HF pilot study. ESC Heart Failure 7, 3950-3961.
| Crossref | Google Scholar | PubMed |
Taft AJ, Shankar M, Black KI, Mazza D, Hussainy S, Lucke JC (2018) Unintended and unwanted pregnancy in Australia: a cross-sectional, national random telephone survey of prevalence and outcomes. Medical Journal of Australia 209, 407-408.
| Crossref | Google Scholar | PubMed |
Tayefi M, Ngo P, Chomutare T, Dalianis H, Salvi E, Budrionis A, Godtliebsen F (2021) Challenges and opportunities beyond structured data in analysis of electronic health records. Wiley Interdisciplinary Reviews: Computational Statistics 13, e1549.
| Crossref | Google Scholar |
Temel S, van Voorst SF, Jack BW, Denktaş S, Steegers EAP (2014) Evidence-based preconceptional lifestyle interventions. Epidemiologic Reviews 36, 19-30.
| Crossref | Google Scholar | PubMed |
TGA (2024) Australian categorisation system for prescribing medicines in pregnancy. Available at https://www.tga.gov.au/australian-categorisation-system-prescribing-medicines-pregnancy
Thuraisingam S, Chondros P, Dowsey MM, Spelman T, Garies S, Choong PF, Gunn J, Manski-Nankervis J-A (2021) Assessing the suitability of general practice electronic health records for clinical prediction model development: a data quality assessment. BMC Medical Informatics and Decision Making 21, 297.
| Crossref | Google Scholar |
Tu K, Wang M, Jaakkimainen RL, Butt D, Ivers NM, Young J, Green D, Jetté N (2014) Assessing the validity of using administrative data to identify patients with epilepsy. Epilepsia 55, 335-343.
| Crossref | Google Scholar | PubMed |
Turner LR, Harris MF, Mazza D (2015) Obesity management in general practice: does current practice match guideline recommendations? Medical Journal of Australia 202, 370-372.
| Crossref | Google Scholar | PubMed |
Turner LR, Cicuttini F, Pearce C, Mazza D (2017) Cardiovascular disease screening in general practice: General practitioner recording of common risk factors. Preventive Medicine 99, 282-285.
| Crossref | Google Scholar | PubMed |
van Voorst S, Plasschaert S, de Jong-Potjer L, Steegers E, Denktaş S (2016) Current practice of preconception care by primary caregivers in the Netherlands. The European Journal of Contraception & Reproductive Health Care 21, 251-258.
| Crossref | Google Scholar | PubMed |
White PJ, Casey BP, Cleary O, Finn E, O’Connor K, Coen N (2023) Co-design with integrated care teams: establishing information needs. International Journal of Integrated Care 23, 7.
| Crossref | Google Scholar |
Withanage NN, Botfield JR, Srinivasan S, Black KI, Mazza D (2022) Effectiveness of preconception care interventions in primary care: a systematic review protocol. British Journal of General Practice Open 6, BJGPO.2021.0191.
| Crossref | Google Scholar |
Xu H, Fu Z, Shah A, Chen Y, Peterson NB, Chen Q, Mani S, Levy MA, Dai Q, Denny JC (2011) Extracting and integrating data from entire electronic health records for detecting colorectal cancer cases. AMIA Annual Symposium Proceedings 2011, 1564-1572.
| Google Scholar |
Yuan S, Dong H, Chen Z (2015) Co-design: an investigation through interviewing expert in Europe. In ‘Cross-Cultural Design Methods, Practice and Impact: 7th International Conference, CCD 2015, Held as Part of HCI International 2015, Proceedings, Part I 7, 2–7 August 2015, Los Angeles, CA, USA.’ (Springer: Cham)