The Influence of Geographic Isolation on Late Preterm Infant and Mother Outcomes

Samra, Haifa Abou; McGrath, Jacqueline M.; Wey, Howard; Bette, Schumacher; Fischer, Sheri; Beverly, Jorgenson

doi:10.1097/anc.0b013e318285fd58

Cited by 9 publications

(12 citation statements)

References 46 publications

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“…Risk recognition involves decision making that is based on risk–benefit analysis or weighing probabilities and potential, a critical component of parent engagement (Shattell, ). Several factors contribute to the perception of risk, including (a) knowledge, (b) previous experiences,; (c) social and ecological factors, (d) individual beliefs and values, and (e) cultural influences (Samra et al., ).…”

Section: Perception Of Risk and Risk Recognitionmentioning

confidence: 99%

The NICU Parent Risk Evaluation and Engagement Model and Instrument (PREEMI) for Neonates in Intensive Care Units

Samra

McGrath

Fischer

et al. 2015

Journal of Obstetric, Gynecologic & Neonatal Nursing

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Section: Perception Of Risk and Risk Recognitionmentioning

confidence: 99%

The NICU Parent Risk Evaluation and Engagement Model and Instrument (PREEMI) for Neonates in Intensive Care Units

Samra

McGrath

Fischer

et al. 2015

Journal of Obstetric, Gynecologic & Neonatal Nursing

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“…A majority of studies did not report details of loss to follow-up and missingness. Only Samra et al 32 presented analyses of the role of loss to follow-up in their study while only Harron et al 29 conducted sensitivity analyses regarding missingness. < 34w (Two 28,30 )/…”

Section: -36w (One 24 )mentioning

confidence: 99%

“…Nine studies used retrospective cohort design [14,[23][24][25][26][27][28][29][30], three were prospective studies [31][32][33], one was a case-control study [34]and another was experimental [35]. Most studies were conducted in the USA [14, 23-27, 31, 32, 34] while the remainder were based in India [28,33], United Kingdom [29], China [35] and Taiwan [30].…”

Section: Design and Study Populationmentioning

confidence: 99%

“…Most studies were conducted in the USA [14, 23-27, 31, 32, 34] while the remainder were based in India [28,33], United Kingdom [29], China [35] and Taiwan [30]. Half of the studies used national or regional health system or insurance databases [14, 23-25, 27, 29, 30] and others used either multiple [31,32,34] or single hospitals. [26,28,33,35] Populations of 34-36 [14,27,29,[32][33][34]]/33-36 week GA babies [24] were most frequently studied, followed by < 37 weeks GA [23,25,26,30,35], 28-36 weeks GA [30] and VLBW [31].…”

Section: Design and Study Populationmentioning

confidence: 99%

“…[26,28,33,35] Populations of 34-36 [14,27,29,[32][33][34]]/33-36 week GA babies [24] were most frequently studied, followed by < 37 weeks GA [23,25,26,30,35], 28-36 weeks GA [30] and VLBW [31]. Sample sizes ranged from to 28 [32] to 103,469 [25]. See Table 1 for full details.…”

Section: Design and Study Populationmentioning

confidence: 99%

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Rehospitalisation Risk Factors and Rates in Preterm Babies: A Systematic Review and Meta-Analysis

Reed

Morgan

Zeitlin

et al. 2021

Preprint

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Objective: To systematically review evidence of risk factors and rates for rehospitalisations within one month of discharge for babies born at <37 weeks gestation.Design: Systematic review and meta-analysisData Sources: PubMed (including MEDLINE and life science journals), Web of Science and reference lists of included articles. Study Selection: Inclusion criteria were studies published in English or French between 01 January 2000 to 31 March 2019, recruiting from the year 2000 onwards evaluating risk factors for rehospitalisation within one month of discharge in preterm babies. Two reviewers independently selected relevant studies, extracted study details, baseline characteristics and results of risk factor analyses. Results: Across 14 included studies, five studied babies of <37 weeks gestation, seven studied late preterm babies (34-36 weeks gestation), and two studied very to moderate preterm babies (<34 weeks gestation). Important risk factors were low birth weight, respiratory morbidity, male sex and lower socioeconomic status in <37 week babies, and shorter length of stay among late preterm babies. Pooled rehospitalisation rates were 4.3% (95% CI 1.9-9.7) in <37 week babies and 6.6% (95% CI 3.2-13.4) in late preterm babies. There was high heterogeneity in risk factors included in analyses and studies often lacked clarity on variable measurement and confounder adjustment.Conclusion: We found evidence for clinical and socioeconomic risk factors, high heterogeneity and important limitations. Limitations included a lack of breadth in both the gestational age ranges and risk factors studied, as well as lack of clarity around variable measurement and confounder adjustment

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Travel Time to Hospital for Childbirth: Comparing Calculated Versus Reported Travel Times in France

Pilkington

Prunet

Blondel

et al. 2017

Matern Child Health J

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Objectives Timely access to health care is critical in obstetrics. Yet obtaining reliable estimates of travel times to hospital for childbirth poses methodological challenges. We compared two measures of travel time, self-reported and calculated, to assess concordance and to identify determinants of long travel time to hospital for childbirth. Methods Data came from the 2010 French National Perinatal Survey, a national representative sample of births (N = 14 681). We compared both travel time measures by maternal, maternity unit and geographic characteristics in rural, peri-urban and urban areas. Logistic regression models were used to study factors associated with reported and calculated times ≥30 min. Cohen's kappa coefficients were also calculated to estimate the agreement between reported and calculated times according to women's characteristics. Results In urban areas, the proportion of women with travel times ≥30 min was higher when reported rather than calculated times were used (11.0 vs. 3.6%). Longer reported times were associated with non-French nationality [adjusted odds ratio (aOR) 1.3 (95% CI 1.0-1.7)] and inadequate prenatal care [aOR 1.5 (95% CI 1.2-2.0)], but not for calculated times. Concordance between the two measures was higher in peri-urban and rural areas (52.4 vs. 52.3% for rural areas). Delivery in a specialised level 2 or 3 maternity unit was a principal determinant of long reported and measured times in peri-urban and rural areas. Conclusions for Practice The level of agreement between reported and calculated times varies according to geographic context. Poor measurement of travel time in urban areas may mask problems in accessibility.

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The Influence of Geographic Isolation on Late Preterm Infant and Mother Outcomes

Abstract: Remote access to appropriate healthcare services elicits more than legitimate concerns for the late preterm infant and warrants further investigation with consideration for how services might be more easily accessed for this at-risk group.

Cited by 9 publications

References 46 publications

The NICU Parent Risk Evaluation and Engagement Model and Instrument (PREEMI) for Neonates in Intensive Care Units

The NICU Parent Risk Evaluation and Engagement Model and Instrument (PREEMI) for Neonates in Intensive Care Units

Rehospitalisation Risk Factors and Rates in Preterm Babies: A Systematic Review and Meta-Analysis

Travel Time to Hospital for Childbirth: Comparing Calculated Versus Reported Travel Times in France

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