↓ Skip to main content

Implementation of a new prenatal care model to reduce office visits and increase connectivity and continuity of care: protocol for a mixed-methods study

Overview of attention for article published in BMC Pregnancy and Childbirth, December 2015
Altmetric Badge

About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (91st percentile)
  • High Attention Score compared to outputs of the same age and source (91st percentile)

Mentioned by

news
2 news outlets

Citations

dimensions_citation
33 Dimensions

Readers on

mendeley
275 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Implementation of a new prenatal care model to reduce office visits and increase connectivity and continuity of care: protocol for a mixed-methods study
Published in
BMC Pregnancy and Childbirth, December 2015
DOI 10.1186/s12884-015-0762-2
Pubmed ID
Authors

Jennifer L. Ridgeway, Annie LeBlanc, Megan Branda, Roger W. Harms, Megan A. Morris, Kate Nesbitt, Bobbie S. Gostout, Lenae M. Barkey, Susan M. Sobolewski, Ellen Brodrick, Jonathan Inselman, Anne Baron, Angela Sivly, Misty Baker, Dawn Finnie, Rajeev Chaudhry, Abimbola O. Famuyide

Abstract

Most low-risk pregnant women receive the standard model of prenatal care with frequent office visits. Research suggests that a reduced schedule of visits among low-risk women could be implemented without increasing adverse maternal or fetal outcomes, but patient satisfaction with these models varies. We aim to determine the effectiveness and feasibility of a new prenatal care model (OB Nest) that enhances a reduced visit model by adding virtual connections that improve continuity of care and patient-directed access to care. This mixed-methods study uses a hybrid effectiveness-implementation design in a single center randomized controlled trial (RCT). Embedding process evaluation in an experimental design like an RCT allows researchers to answer both "Did it work?" and "How or why did it work (or not work)?" when studying complex interventions, as well as providing knowledge for translation into practice after the study. The RE-AIM framework was used to ensure attention to evaluating program components in terms of sustainable adoption and implementation. Low-risk patients recruited from the Obstetrics Division at Mayo Clinic (Rochester, MN) will be randomized to OB Nest or usual care. OB Nest patients will be assigned to a dedicated nursing team, scheduled for 8 pre-planned office visits with a physician or midwife and 6 telephone or online nurse visits (compared to 12 pre-planned physician or midwife office visits in the usual care group), and provided fetal heart rate and blood pressure home monitoring equipment and information on joining an online care community. Quantitative methods will include patient surveys and medical record abstraction. The primary quantitative outcome is patient-reported satisfaction. Other outcomes include fidelity to items on the American Congress of Obstetricians and Gynecologists standards of care list, health care utilization (e.g. numbers of antenatal office visits), and maternal and fetal outcomes (e.g. gestational age at delivery), as well as validated patient-reported measures of pregnancy-related stress and perceived quality of care. Quantitative analysis will be performed according to the intention to treat principle. Qualitative methods will include interviews and focus groups with providers, staff, and patients, and will explore satisfaction, intervention adoption, and implementation feasibility. We will use methods of qualitative thematic analysis at three stages. Mixed methods analysis will involve the use of qualitative data to lend insight to quantitative findings. This study will make important contributions to the literature on reduced visit models by evaluating a novel prenatal care model with components to increase patient connectedness (even with fewer pre-scheduled office visits), as demonstrated on a range of patient-important outcomes. The use of a hybrid effectiveness-implementation approach, as well as attention to patient and provider perspectives on program components and implementation, may uncover important information that can inform long-term feasibility and potentially speed future translation. Trial registration identifier: NCT02082275 Submitted: March 6, 2014.

Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 275 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Spain 2 <1%
Tanzania, United Republic of 1 <1%
Brazil 1 <1%
Unknown 271 99%

Demographic breakdown

Readers by professional status Count As %
Student > Master 42 15%
Researcher 29 11%
Student > Ph. D. Student 27 10%
Student > Bachelor 25 9%
Student > Doctoral Student 21 8%
Other 54 20%
Unknown 77 28%
Readers by discipline Count As %
Medicine and Dentistry 67 24%
Nursing and Health Professions 53 19%
Psychology 16 6%
Social Sciences 15 5%
Arts and Humanities 6 2%
Other 34 12%
Unknown 84 31%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 17. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 June 2017.
All research outputs
#1,807,941
of 22,981,247 outputs
Outputs from BMC Pregnancy and Childbirth
#460
of 4,227 outputs
Outputs of similar age
#32,595
of 388,463 outputs
Outputs of similar age from BMC Pregnancy and Childbirth
#6
of 70 outputs
Altmetric has tracked 22,981,247 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 4,227 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.8. This one has done well, scoring higher than 89% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 388,463 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 91% of its contemporaries.
We're also able to compare this research output to 70 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 91% of its contemporaries.