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      Improved maternal–fetal outcomes among emergency obstetric referrals following phone call communication at a teaching hospital in south western Uganda: a quasi-experimental study

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          Abstract

          Background

          Emergency obstetric referrals develop adverse maternal–fetal outcomes partly due to delays in offering appropriate care at referral hospitals especially in resource limited settings. Referral hospitals do not get prior communication of incoming referrals leading to inadequate preparedness and delays of care. Phone based innovations may bridge such communication challenges.

          We investigated effect of a phone call communication prior to referral of mothers in labour as intervention to reduce preparation delays and improve maternal–fetal outcome at a referral hospital in a resource limited setting.

          Methods

          This was a quasi-experimental study with non-equivalent control group conducted at Mbarara Regional Referral Hospital (MRRH) in South Western Uganda from September 2020 to March 2021. Adverse maternal–fetal outcomes included: early neonatal death, fresh still birth, obstructed labour, ruptured uterus, maternal sepsis, low Apgar score, admission to neonatal ICU and hysterectomy. Exposure variable for intervention group was a phone call prior maternal referral from a lower health facility. We compared distribution of clinical characteristics and adverse maternal–fetal outcomes between intervention and control groups using Chi square or Fisher’s exact test. We performed logistic regression to assess association between independent variables and adverse maternal–fetal outcomes.

          Results

          We enrolled 177 participants: 75 in intervention group and 102 in control group. Participants had similar demographic characteristics. Three quarters (75.0%) of participants in control group delayed on admission waiting bench of MRRH compared to (40.0%) in intervention group [ p =  < 0.001]. There were significantly more adverse maternal–fetal outcomes in control group than intervention group (obstructed labour [ p = 0.026], low Apgar score [ p = 0.013] and admission to neonatal high dependency unit [ p =  < 0.001]). The phone call intervention was protective against adverse maternal–fetal outcome [aOR = 0.22; 95%CI: 0.09—0.44, p = 0.001].

          Conclusion

          The phone call intervention resulted in reduced delay to patient admission at a tertiary referral hospital in a resource limited setting, and is protective against adverse maternal–fetal outcomes. Incorporating the phone call communication intervention in the routine practice of emergency obstetric referrals from lower health facilities to regional referral hospitals may reduce both maternal and fetal morbidities.

          Trial registration

          Pan African Clinical Trial Registry PACTR20200686885039.

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          Most cited references30

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          Too far to walk: Maternal mortality in context

          The Prevention of Maternal Mortality Program is a collaborative effort of Columbia University's Center for Population and Family Health and multidisciplinary teams of researchers from Ghana, Nigeria and Sierra Leone. Program goals include dissemination of information to those concerned with preventing maternal deaths. This review, which presents findings from a broad body of research, is part of that activity. While there are numerous factors that contribute to maternal mortality, we focus on those that affect the interval between the onset of obstetric complication and its outcome. If prompt, adequate treatment is provided, the outcome will usually be satisfactory; therefore, the outcome is most adversely affected by delayed treatment. We examine research on the factors that: (1) delay the decision to seek care; (2) delay arrival at a health facility; and (3) delay the provision of adequate care. The literature clearly indicates that while distance and cost are major obstacles in the decision to seek care, the relationships are not simple. There is evidence that people often consider the quality of care more important than cost. These three factors--distance, cost and quality--alone do not give a full understanding of decision-making process. Their salience as obstacles is ultimately defined by illness-related factors, such as severity. Differential use of health services is also shaped by such variables as gender and socioeconomic status. Patients who make a timely decision to seek care can still experience delay, because the accessibility of health services is an acute problem in the developing world. In rural areas, a woman with an obstetric emergency may find the closest facility equipped only for basic treatments and education, and she may have no way to reach a regional center where resources exist. Finally, arriving at the facility may not lead to the immediate commencement of treatment. Shortages of qualified staff, essential drugs and supplies, coupled with administrative delays and clinical mismanagement, become documentable contributors to maternal deaths. Findings from the literature review are discussed in light of their implications for programs. Options for health programs are offered and examples of efforts to reduce maternal deaths are presented, with an emphasis on strategies to mobilize and adapt existing resources.
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            Delays in receiving obstetric care and poor maternal outcomes: results from a national multicentre cross-sectional study

            Background The vast majority of maternal deaths in low-and middle-income countries are preventable. Delay in obtaining access to appropriate health care is a fairly common problem which can be improved. The objective of this study was to explore the association between delay in providing obstetric health care and severe maternal morbidity/death. Methods This was a multicentre cross-sectional study, involving 27 referral obstetric facilities in all Brazilian regions between 2009 and 2010. All women admitted to the hospital with a pregnancy-related cause were screened, searching for potentially life-threatening conditions (PLTC), maternal death (MD) and maternal near-miss (MNM) cases, according to the WHO criteria. Data on delays were collected by medical chart review and interview with the medical staff. The prevalence of the three different types of delays was estimated according to the level of care and outcome of the complication. For factors associated with any delay, the PR and 95%CI controlled for cluster design were estimated. Results A total of 82,144 live births were screened, with 9,555 PLTC, MNM or MD cases prospectively identified. Overall, any type of delay was observed in 53.8% of cases; delay related to user factors was observed in 10.2%, 34.6% of delays were related to health service accessibility and 25.7% were related to quality of medical care. The occurrence of any delay was associated with increasing severity of maternal outcome: 52% in PLTC, 68.4% in MNM and 84.1% in MD. Conclusions Although this was not a population-based study and the results could not be generalized, there was a very clear and significant association between frequency of delay and severity of outcome, suggesting that timely and proper management are related to survival.
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              What is an intracluster correlation coefficient? Crucial concepts for primary care researchers.

              Primary care research often involves clustered samples in which subjects are randomized at a group level but analyzed at an individual level. Analyses that do not take this clustering into account may report significance where none exists. This article explores the causes, consequences, and implications of cluster data. Using a case study with accompanying equations, we show that clustered samples are not as statistically efficient as simple random samples. Similarity among subjects within preexisting groups or clusters reduces the variability of responses in a clustered sample, which erodes the power to detect true differences between study arms. This similarity is expressed by the intracluster correlation coefficient, or p (rho), which compares the within-group variance with the between-group variance. Rho is used in equations along with the cluster size and the number of clusters to calculate the effective sample size (ESS) in a clustered design. The ESS should be used to calculate power in the design phase of a clustered study. Appropriate accounting for similarities among subjects in a cluster almost always results in a net loss of power, requiring increased total subject recruitment. Increasing the number of clusters enhances power more efficiently than does increasing the number of subjects within a cluster. Primary care research frequently uses clustered designs, whether consciously or unconsciously. Researchers must recognize and understand the implications of clusters to avoid costly sample size errors.
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                Author and article information

                Contributors
                hkanyesigye@must.ac.ug
                Journal
                BMC Pregnancy Childbirth
                BMC Pregnancy Childbirth
                BMC Pregnancy and Childbirth
                BioMed Central (London )
                1471-2393
                5 September 2022
                5 September 2022
                2022
                : 22
                : 684
                Affiliations
                [1 ]GRID grid.33440.30, ISNI 0000 0001 0232 6272, Department of Obstetrics and Gynecology, Faculty of Medicine, , Mbarara University of Science and Technology, ; Mbarara, Uganda
                [2 ]GRID grid.33440.30, ISNI 0000 0001 0232 6272, Department of Community Health, , Mbarara University of Science and Technology, ; Mbarara, Uganda
                [3 ]Department of Clinical Research, SOAR Research Foundation, Mbarara, Uganda
                [4 ]GRID grid.55602.34, ISNI 0000 0004 1936 8200, Faculty of Medicine & MicroResearch International, , Dalhouise University, ; Halifax, Canada
                [5 ]GRID grid.33440.30, ISNI 0000 0001 0232 6272, Department of Physiology, Faculty of Medicine, , Mbarara University of Science and Technology, ; Mbarara, Uganda
                Article
                5007
                10.1186/s12884-022-05007-0
                9442930
                9fe4041d-6547-45ba-ac0f-10955d638cc3
                © The Author(s) 2022

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver ( http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

                History
                : 3 November 2021
                : 26 August 2022
                Categories
                Research
                Custom metadata
                © The Author(s) 2022

                Obstetrics & Gynecology
                phone call,communication,intervention,emergency,obstetric referral,quasi-experimental,maternal–fetal outcomes

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