Abstract:Background:The government is encouraging the adoption of electronic medical records (EMRs). There is little information about using EMRs in the obstetric literature and none about using them in family medicine residencies. Our purpose was to assess if using an EMR was associated with improvement in the ordering and availability of prenatal tests.Methods: A retrospective chart review comparing the rate at which prenatal laboratory values were present on the chart, ordered on time, and recorded on a prenatal flo… Show more
“…In an urban residents’ clinic, adopting an EMR was associated with an improved rate at which prenatal tests were ordered on time, present on the chart, and recorded on a prenatal flow sheet. (27) EMR adoption may improve documentation without adversely affecting workflow. (28, 29) Even within an existing EMR, improved electronic supports may increase measures of quality care.…”
Objectives
Excessive gestational weight gain (GWG) predicts adverse pregnancy outcomes and later obesity risk for both mother and child. Women who receive GWG advice from their obstetric clinicians are more likely to gain the recommended amount, but many clinicians do not counsel their patients on GWG, pointing to the need for new strategies. Electronic medical records (EMRs) are a useful tool for tracking weight and supporting guideline-concordant care, but their use for care related to GWG has not been evaluated.
Methods
We performed in-depth interviews with 16 obstetric clinicians from a multi-site group practice in Massachusetts that uses an EMR. We recorded, transcribed, coded, and analyzed the interviews using immersion-crystallization.
Results
Many respondents believed that GWG had “a lot” of influence on pregnancy and child health outcomes but that their patients did not consider it important. Most indicated that excessive GWG was a big or moderate problem in their practice, and that inadequate GWG was rarely a problem. All used an EMR feature that calculates total GWG at each visit. Many were enthusiastic about additional EMR-based supports, such as a reference for recommended GWG for each patient based on pre-pregnancy body mass index, a “growth chart” to plot actual and recommended GWG, and an alert to identify out-of-range gains, features which many felt would remind them to counsel patients about excessive weight gain.
Conclusion
Additional decision support tools within EMRs would be well received by many clinicians and may help improve the frequency and accuracy of GWG tracking and counseling.
“…In an urban residents’ clinic, adopting an EMR was associated with an improved rate at which prenatal tests were ordered on time, present on the chart, and recorded on a prenatal flow sheet. (27) EMR adoption may improve documentation without adversely affecting workflow. (28, 29) Even within an existing EMR, improved electronic supports may increase measures of quality care.…”
Objectives
Excessive gestational weight gain (GWG) predicts adverse pregnancy outcomes and later obesity risk for both mother and child. Women who receive GWG advice from their obstetric clinicians are more likely to gain the recommended amount, but many clinicians do not counsel their patients on GWG, pointing to the need for new strategies. Electronic medical records (EMRs) are a useful tool for tracking weight and supporting guideline-concordant care, but their use for care related to GWG has not been evaluated.
Methods
We performed in-depth interviews with 16 obstetric clinicians from a multi-site group practice in Massachusetts that uses an EMR. We recorded, transcribed, coded, and analyzed the interviews using immersion-crystallization.
Results
Many respondents believed that GWG had “a lot” of influence on pregnancy and child health outcomes but that their patients did not consider it important. Most indicated that excessive GWG was a big or moderate problem in their practice, and that inadequate GWG was rarely a problem. All used an EMR feature that calculates total GWG at each visit. Many were enthusiastic about additional EMR-based supports, such as a reference for recommended GWG for each patient based on pre-pregnancy body mass index, a “growth chart” to plot actual and recommended GWG, and an alert to identify out-of-range gains, features which many felt would remind them to counsel patients about excessive weight gain.
Conclusion
Additional decision support tools within EMRs would be well received by many clinicians and may help improve the frequency and accuracy of GWG tracking and counseling.
“…[6][7][8] Because obstetric care can span a variety of outpatient and inpatient settings, communication between different medical providers is of prime importance. 2,8 To translate these trends into discernible clinical outcomes, this study investigates the outcomes of improved transmission of prenatal test results, specifically maternal hepatitis B and human immunodeficiency virus (HIV) serology, between the outpatient and inpatient obstetric setting after implementation of an electronic prenatal record system. [4][5][6][7][8] Two previous studies have demonstrated increased availability and communication of prenatal records in the obstetric setting after implementation of an electronic medical record.…”
“…Fortunately, the unprecedented spread of mobile technology has made it possible to develop mHealth platforms that can be used to provide similar services to hard-to-reach communities in resource-limited settings [23,27]. This has led to improved quality of care and decreased rate of unnecessary testing, and has allowed for early institution of evidence-based interventions that improve birth outcome [28-31]. …”
BackgroundThe unprecedented coverage of mobile technology across the globe has led to an increase in the use of mobile health apps and related strategies to make health information available at the point of care. These strategies have the potential to improve birth outcomes, but are limited by the availability of Internet services, especially in resource-limited settings such as Nigeria.ObjectiveOur primary objective is to determine the feasibility of developing an integrated mobile health platform that is able to collect data from community-based programs, embed collected data into a smart card, and read the smart card using a mobile phone-based app without the need for Internet access. Our secondary objectives are to determine (1) the acceptability of the smart card among pregnant women and (2) the usability of the smart card by pregnant women and health facilities in rural Nigeria.MethodsWe will leverage existing technology to develop a platform that integrates a database, smart card technology, and a mobile phone-based app to read the smart cards. We will recruit 300 pregnant women with one of the three conditions—HIV, hepatitis B virus infection, and sickle cell trait or disease—and four health facilities in their community. We will use Glasgow’s Reach, Effectiveness, Adoption, Implementation, and Maintenance framework as a guide to assess the implementation, acceptability, and usability of the mHealth platform.ResultsWe have recruited four health facilities and 300 pregnant women with at least one of the eligible conditions. Over the course of 3 months, we will complete the development of the mobile health platform and each participant will be offered a smart card; staff in each health facility will receive training on the use of the mobile health platform.ConclusionsFindings from this study could offer a new approach to making health data from pregnant women available at the point of delivery without the need for an Internet connection. This would allow clinicians to implement evidence-based interventions in real time to improve health outcomes.Trial RegistrationClinicalTrials.gov NCT03027258; https://clinicaltrials.gov/ct2/show/NCT03027258 (Archived by WebCite at http://www.webcitation.org/6owR2D0kE)
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