Abstract
Introduction
To compare neonatal, obstetrical, and maternal outcomes associated with outpatient vs inpatient management of pregnancies with preterm prelabor rupture of membranes (PPROM).
Material and Methods
A search of MEDLINE, EMBASE, the Cochrane Database and Central Register from January 1, 1990 to July 31, 2023 identified randomized controlled trials (RCTs) and cohort studies comparing outpatient with inpatient management for pregnant persons diagnosed with PPROM before 37 weeks' gestation. No language restriction was applied. We applied a random effects model for meta‐analysis. Trustworthiness was assessed using recently published guidance and Risk of bias using the RoB 2.0 tool for RCTs and ROBINS‐I tool for cohort studies. The Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) approach was used to assess the certainty of evidence (COE). Outcomes of interest included perinatal mortality, neonatal morbidities, latency and gestational age at delivery, and maternal morbidities. RCTs and cohort studies were analyzed separately. This study was registered in the International Prospective Register of Systematic Reviewsr: CRD42022295275.
Results
From 2825 records, two RCTs and 10 cohort studies involving 1876 patients were included in the review and meta‐analysis. Outpatient management protocols varied but generally included brief initial hospitalization, strict eligibility criteria, and surveillance with laboratory and ultrasound investigations. Outpatient management showed lower rates of neonatal respiratory distress syndrome (cohort: RR 0.63 [0.52–0.77, very low COE]), longer latency to delivery (RCT: MD 7.43 days [1.14–13.72 days, moderate COE], cohort: MD 8.78 days [2.29–15.26 days, low COE]), higher gestational age at birth (cohort: MD 7.70 days [2.02–13.38 days, low COE]), lower rates of Apgar scores <7 at 5 min of life (cohort: RR 0.66 [0.50–0.89, very low COE]), and lower rates of histological chorioamnionitis (cohort: RR 0.74 [0.62–0.89, low COE]) without increased risks of adverse neonatal, obstetrical, or maternal outcomes.
Conclusions
Meta‐analysis of data from RCTs and cohort studies with very low‐to‐moderate certainty of evidence indicates that further high‐quality research is needed to evaluate the safety and potential benefits of outpatient management for selected PPROM cases, given the moderate‐to‐high risk of bias in the included studies.
Keywords: histological chorioamnionitis, hospitalization, inpatient management, neonatal outcomes, outpatient management latency to delivery, pregnancy complications, prematurity, preterm prelabor rupture of membranes, respiratory distress syndrome
This systematic review and meta‐analysis is the most current review and the first to include observational studies on the topic. It suggests that outpatient management may be a viable and potentially beneficial option for selected PPROM patients, showing no significant difference in severe neonatal, obstetrical, or maternal outcomes compared to inpatient care. Outpatient care was associated with longer latency from PPROM to delivery, higher gestational age at delivery, and lower risks of neonatal respiratory distress syndrome, low Apgar scores, and histological chorioamnionitis.

Abbreviations
- COE
certainty of evidence
- GRADE
Grading of Recommendations, Assessment, Development, and Evaluations
- PPROM
preterm prelabor rupture of membranes
- RCT
randomized controlled trial
- RoB 2.0
Risk of Bias 2.0
- ROBINS‐I
Risk Of Bias In Non‐randomized Studies – of Interventions
Key message.
Outpatient management of PPROM shows potential benefits such as longer latency and reduced respiratory morbidity in a low‐risk population, but further high‐quality research is needed to confirm its safety and effectiveness due to the current very low‐to‐moderate certainty of evidence.
1. INTRODUCTION
Preterm prelabor rupture of membranes (PPROM) is an obstetric complication defined by the rupture of membranes prior to the onset of labor and before 37 weeks gestational age that occurs in 3% of pregnancies. 1 It is implicated in approximately one‐third of all preterm births 1 and is associated with high neonatal mortality and severe short‐ and long‐term neonatal morbidity. 1 , 2 , 3 , 4 PPROM is also associated with an increased risk of maternal infection, placental abruption, and cord prolapse. 5 , 6
There is no consensus on several aspects of management following PPROM. Current practice typically involves expectant management until late preterm or term gestational age, alongside the use of prophylactic antibiotics and corticosteroids to optimize fetal lung maturity. Tocolysis may be employed to facilitate the administration of corticosteroids or transfer to a higher center. Patients are monitored closely for indications of infection or fetal compromise; however, the development of complications is unpredictable. 7 , 8
PPROM is followed by a latency period before the onset of labor, which can vary between a few hours to several weeks. 2 The median latency is approximately 9 days and appears inversely related to the gestational age at which PPROM occurs. 9 Although delivery timing is unpredictable, 50% of patients deliver within 7 days, and factors such as cervical length, amniotic fluid volume, and gestational age at PPROM influence the timing of delivery. 9 , 10 In most high‐income settings, standard practice is inpatient management until delivery, 7 , 8 resulting in a significant proportion of patients requiring extended hospital admissions, incurring high system costs and psychosocial stress for families. 11 , 12 , 13 There is increasing interest in managing these patients as outpatients, 14 with several groups having developed outpatient care protocols for patients meeting specific criteria and studying the safety and efficacy of such practices. 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 However, there is a lack of high‐quality evidence comparing inpatient vs outpatient management for PPROM. A Cochrane review 28 published in 2014 found one RCT published in 1993 15 and another conference abstract reporting on an RCT from 1999, 29 representing 116 patients in total. The small sample size meant there was inadequate statistical power to detect meaningful differences between groups. 28 Since then, one additional RCT of 60 patients was published in 2012, which found prolonged latency and benefit in neonatal outcomes in the outpatient group. 18 Several cohort studies from Europe, North America, the Middle East, and Australia 16 , 17 , 19 , 21 , 22 , 23 , 24 , 27 have been published over the past few years that have described diverse inclusion criteria and protocols for inpatient and outpatient management, and reported on a variety of outcomes with variable definitions.
The objective of our study was to summarize the published evidence regarding the neonatal, obstetrical, and maternal outcomes of outpatient management of PPROM, and to determine whether there is sufficient evidence to make a recommendation for clinical practice or true clinical equipoise warranting further investigation by randomized trials.
2. MATERIAL AND METHODS
The study protocol was registered with PROSPERO (CRD42022295275) and reported according to the Preferred Reporting Item for Systematic Reviews and Meta‐analysis (PRISMA) guidelines. 30
2.1. Data sources
A medical information specialist conducted a literature search for MEDLINE, EMBASE, Cochrane Database of Systematic Reviews, Cochrane Central Register of Controlled Trials, and PubMed‐in‐process from 1990 until December 2021. The search was updated in July 2023. The search encompassed controlled vocabulary/index terms and keywords related to PPROM, inpatient management, outpatient management, and neonatal and pregnancy outcomes. The search strategy was structured according to the Peer Reviewed Electronic Search Strategies (PRESS) 2015 guidelines. 31 No language restrictions were applied. Reference lists of included studies and systematic reviews on the topic were screened for articles that might have been missed through the original search. A search was performed on Google Scholar and the first 200 results were also screened. We searched www.ClinicalTrials.gov for registered and ongoing clinical trials. The full search strategy can be found in Appendix S1.
2.2. Main outcomes measures
The outcomes of interest were perinatal mortality; neonatal infectious morbidity; respiratory distress syndrome; peri‐ and intraventricular hemorrhage; Apgar scores <7 at 5 min; latency (PPROM‐to‐delivery interval); gestational age at delivery; cesarean deliveries; clinical chorioamnionitis; histological chorioamnionitis; maternal sepsis; postpartum endometritis; placental abruption; and cord prolapse.
2.3. Eligibility criteria
We included all randomized controlled trials (RCTs) and cohort studies that compared outpatient management of patients with a diagnosis of PPROM against inpatient management, regardless of the protocol. Titles and abstracts were screened by two independent reviewers (MW, SD). Selected full‐text articles were reviewed independently and in duplicate. Disagreements were settled by discussion and consensus or through adjudication by a third reviewer (SR). Studies were assessed for trustworthiness using the research integrity assessment (RIA) tool 32 and by searching the Retraction Watch Database 33 for all studies.
Non‐English language publications were translated to English by team members fluent in the respective languages. Two reviewers (MW and SD) independently extracted data related to study design, participant characteristics and outcomes on a pre‐piloted data extraction sheet. Disagreements were settled by discussion and consensus or through adjudication by a third reviewer (SR).
Risk of bias assessments for each study were performed using the Risk of Bias 2.0 (RoB 2.0) tool for RCTs 34 and the Risk Of Bias in Non‐randomized Studies of Interventions (ROBINS‐I) tool for observational studies 35 by two reviewers (MW and SD) under the guidance of a senior investigator (RD). Both tools assess the risk of bias under the domains of deviations from intended interventions, missing data, measurement of outcomes, and selection of the reported result. The RoB 2.0 tool additionally assesses the risk of bias of RCTs under the domain of randomization while the ROBINS‐I tool assesses the risk of bias of cohort studies under the domains of confounding, selection of participants, and classification of interventions.
2.4. Data collection and analysis
According to recommended practice for reviews including both RCTs and observational studies, the meta‐analyses for RCTs were conducted separately from the meta‐analyses for cohort studies for each outcome. 36 , 37 As considerable methodologic, clinical, and statistical heterogeneity was anticipated between studies, we decided a priori to use DerSimonian Laird random‐effects model for the meta‐analysis of all outcomes using Review Manager (RevMan) 5.4 software. 38 The Mantel–Haenszel method of weighting was used for dichotomous variables, and the inverse variance method was used for continuous variables. Outcomes were reported as risk ratios (RR) for dichotomous outcomes or mean differences (MD) for continuous outcomes with their respective 95% confidence intervals. Where most studies within a dichotomous outcome reported zero events, that outcome was reported as risk difference (RD). A sensitivity analysis for each outcome was performed by removing studies with high risk of bias and comparing the effect estimates of the lower risk group of studies to the main analysis. We took a broad approach to pooling. When we observed important statistical heterogeneity, we explored whether early vs late initiation of the outpatient protocol had a meaningful impact on the outcome through a subgroup analysis based on the duration of initial hospitalization (≤72 h vs. >72 h). We required that each subgroup included data from at least two studies to conduct the analysis. We hypothesized that the effects would be larger with longer initial hospitalization. We then assessed the credibility of subgroup analysis using the Instrument to assess the Credibility of Effect Modification in Analyses (ICEMAN) tool. 39 Where credibility was low or very low, we reported only the results of the main analysis as recommended. 39
The overall certainty of the evidence (COE) for each outcome was assessed using the Grading of Recommendations, Assessment, Development, and Evaluations (GRADE) criteria 40 by two reviewers (MW and SR) under the guidance of a senior investigator (RBP). Application of the GRADE criteria to evidence from RCTs differs from its application to evidence derived from observational studies. Evidence from RCTs is initially rated as high certainty while evidence from observational studies is initially rated as low certainty as a means of considering the bias inherent in observational studies. 40 In both cases, confidence in each outcome can subsequently be rated down based on domains of risk of bias, inconsistency, indirectness, imprecision, and publication bias, however, only evidence from observational studies can be rated up for large effects and a dose–response gradient. 40 Because of these differences, we assessed the COE for results of meta‐analysis of RCTs separately from the meta‐analysis of cohort studies. We rated COE for all outcomes as very low, low, moderate, or high in keeping with GRADE protocols. 40 In keeping with the GRADE guidelines, heterogeneity (inconsistency) was assessed considering the similarity of point estimates, overlap of confidence intervals, and using both the χ 2 test and the I 2 statistic. Summary of findings tables were generated using GRADEpro software. 41 Absolute effect estimates for meta‐analyzed outcomes were calculated using baseline risk derived from the inpatient management group and relative risk associated with outpatient management. We utilized a minimally contextualized approach based on the null threshold and rated our certainty on any effect.
3. RESULTS
3.1. General characteristics of the studies
The search identified 2825 records, of which 2521 titles and abstracts remained after removing duplicates (Figure 1). A total of 36 full‐text articles were reviewed, and 24 were excluded for reasons summarized in Figure 1. Three additional studies were excluded because their study population was represented within another published study. 42 , 43 , 44 Specifically, data from Bocquet et al. 2012 and Garabedian et al. 2016 were represented within Guckert et al. 2019, and data from Bouchghoul et al. 2019 was represented within Dussaux et al. 2017. Where this occurred, the study with the most comprehensive data set was selected for inclusion 23 , 24 while the others were excluded 39 , 40 , 41 to avoid duplication of data from the same patients. One cohort study was excluded due to concerns of implausibility of the number of participants recruited from the stated study period and site. 26 Ultimately, two RCTs and 10 retrospective cohort studies were included in the review and meta‐analysis. Nine studies were in English, 15 , 16 , 17 , 21 , 22 , 23 , 24 , 25 , 27 one was in French, 19 and two were in Farsi. 18 , 20 Characteristics of included studies are summarized in Table 1.
FIGURE 1.

PRISMA 2020 flowsheet.
TABLE 1.
Included studies.
| Study | Allocation | Inclusion criteria | ||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Year, (country) period | Design | Method, sample size (outpatient/inpatient) | Timing of allocation after PPROM (days) | PPROM Gestational age (weeks) | Number of fetuses | Fetal presentation | Fetal anatomy | Amniotic fluid volume (US) | Cervical exam | Maternal comorbidity | Time from hospital (min) | Home conditions |
|
Taghavi, 2012 (Iran) 2005–2006 |
RCT |
Random 30/30 |
7 | 26–32 | Singleton | Cephalic | Normal | Not specified | Not specified | None | <30 | Not specified |
|
Carlan, 1993 (USA) 1989–1991 |
RCT |
Random 28/27 |
3 | <37 | Singleton | Cephalic | Not specified | Deep vertical pocket >2 cm | Dilatation <4 cm | Not specified | Not specified | Not specified |
|
Murillo, 2023 (Spain) 2014–2018 |
Retrospective Cohort |
Physician's discretion 78/80 |
3 | 23–34 | Singleton | Any | Normal | Deep vertical pocket ≥ 1 cm | Stable cervical length at US | Not specified | <30–40 | Opportunity for rest |
|
Mirteimouri, 2021 (Iran) 2017–2018 |
Retrospective Cohort |
Patients' preference 28/40 |
3 | 25–33+6 | Singleton | Cephalic | Normal |
Deep vertical pocket >2 cm |
Not specified | Not specified | <60 | Caregiver at home |
|
Guckert, 2020 (France) 2002–2015 |
Retrospective Cohort |
Pre/post center protocol change 191/204 |
5 | 24–35 | Singleton | Any | Not specified | Not specified | Dilation <3 cm | Not specified | <30 (<50 km) | Not specified |
|
Dussaux, 2018 (France) 2009–2013 |
Retrospective Cohort |
Patients' preference 90/324 |
2 | 24–34 | Singleton | Any | Normal | Not specified | Not specified | Not specified | Not specified | Not specified |
|
Palmer, 2017 (Canada) 2007–2012 |
Retrospective Cohort |
By center 87/89 |
3 | 23–34 | Not specified | Any, but footling or transverse | Normal | Not specified | No cervical dilation | Not specified | <30 | Not specified |
|
Catt, 2016 (Canada) 2007–2012 |
Retrospective Cohort |
Physician's discretion 133/122 |
7 | 20–34 | Singleton | Any, but footling or transverse | Normal | Not specified | Not specified | Not specified | City of study center | Not specified |
|
Alimohamadi, 2014 (Iran) 2012–2013 |
Retrospective Cohort |
Outpatients left AMA 39/50 |
0 | 24–34 | Any | Any | Any | Any | Any | Any | Any | Any |
|
Huret, 2014 (France) 2008–2011 |
Retrospective Cohort |
Patients' preference 9/35 |
5 | <37 | Singleton | Cephalic | Not specified |
No anhydram nios |
Not specified | Not specified | <30 | Opportunity for rest |
|
Beckmann, 2012 (Australia) 2007–2011 |
Retrospective Cohort |
Physician's discretion 53/91 |
3 | <34 | Any | Any | Normal | Not specified | Not specified | Not specified | Not specified | Not specified |
|
Ayres, 2002 (USA) 1998–2000 |
Retrospective Cohort |
Not specified 10/8 |
Not specified | 24–34 | Not specified | Cephalic | Not specified |
Amniotic fluid index >3 cm |
Not specified | Not specified | <30 (<50 miles) | Opportunity for rest |
Note: All groups required that there be no clinical evidence of chorioamnionitis, labor, or placental abruption and reassuring fetal status by fetal heart rate pattern, except Alimohamadi 2014 where the outpatient group consisted of patients who left against medical advice.
Allocation methods are summarized in Table 1. The included studies reported data from a total of 1876 patients, 115 from RCTs and 1761 from cohort studies. A total of 776 were managed as outpatients and 1100 were managed as inpatients. Four studies were from Europe, 19 , 23 , 24 , 27 four from North America, 15 , 16 , 21 , 22 three from the Middle East, 18 , 20 , 25 and one from Australia. 17 These studies were conducted from 1989 15 to 2018. 27
3.2. Baseline characteristics
Eligibility criteria for outpatient care were variable and are summarized in Table 1 and Figure S2. Most studies included singleton pregnancy, 15 , 18 , 19 , 23 , 24 , 25 , 27 non‐cephalic presentations except footling breech and transverse, 15 , 16 , 18 , 19 , 21 , 22 , 25 normal fetal anatomy or only mild anomalies, 17 , 21 , 22 , 23 , 25 , 27 required a minimum amniotic fluid volume, 15 , 16 , 19 , 25 , 27 and required that patients lived within a specific geographic distance from the hospital. 16 , 18 , 19 , 21 , 22 , 24 , 25 , 27 Exclusion criteria included significant fetal anomalies or clinical evidence of chorioamnionitis, placental abruption, or preterm labor.
The gestational age at PPROM ranged from 20 to 37 weeks and was generally balanced between groups. Seven studies included non‐cephalic fetal presentations or did not consider fetal presentation in their criteria, 17 , 20 , 21 , 22 , 23 , 24 , 27 three of which reported the distribution of fetal presentations among their patient groups 22 , 23 , 24 and none of these found a significant difference in this characteristic.
All studies except one 18 reported data regarding maternal demographics such as age, parity, body mass index, and smoking status. The differences between groups regarding these characteristics were not significant, except in one study, which found a greater proportion of smokers among their outpatient group compared to inpatients (15/53 (28.3%) vs. 10/91 (11.0%), p = 0.008). 17 Five studies included data on the history of previous PPROM or preterm birth. 15 , 21 , 23 , 25 , 27 Only one study reported a difference in this characteristic and found a higher proportion of patients in the outpatient group with history of preterm birth (23% vs. 13%, p = 0.036). 21 Four studies reported data regarding maternal comorbidities such as diabetes or hypertensive disorders. 17 , 22 , 23 , 24 There was a significantly greater proportion of patients with no comorbidities among the outpatient population (77/90 (85.6%) vs. 221/324 (68.2%), p < 0.01) in one of the four studies. 23
Three studies reported on cervical length at the time of admission. 23 , 24 , 27 Two of the three studies noted longer cervical length among outpatients (transvaginal ultrasound length: 31.7 cm ± 10.4 vs. 24.3 cm ± 11.8, p < 0.01 23 ; frequency of cervical length < 15 mm: 3 (3.8%) vs. 13 (12.7%), p = 0.025 27 ). Five studies reported on baseline amniotic fluid volumes at admission. 15 , 16 , 23 , 24 , 27 There were no statistically significant differences reported. Three studies reported on baseline maternal lab investigations. 23 , 24 , 25 Only one study found significant differences, with lower rates of elevated C‐reactive protein >5 mg/mL (53/183 (29.0%) vs. 90/202 (44.6%), p = 0.002) and elevated white blood count >12 000/mm3 (43/175 (24.6%) vs. 69/204 (33.8%), p = 0.049) 24 among its outpatient group.
3.3. Study protocols
Study protocols are summarized in Table S3. Most studies had an initial period of hospitalization before allocation, during which patients were started on antibiotic prophylaxis, received a course of corticosteroids if appropriate, and underwent baseline investigations. Antibiotic regimens were specified in eight studies 15 , 17 , 18 , 19 , 21 , 23 , 25 , 27 and complete courses were administered to both groups. In all cases, antibiotic therapy was given empirically, except for one study 27 where if feasible amniocentesis was performed. If intraamniotic infection was identified, antibiotic therapy was targeted according to their protocols and these patients were excluded from study allocation. Five studies offered tocolysis if specific criteria were satisfied. 17 , 19 , 23 , 25 , 27 This hospitalization period ranged from 48 h to 7 days, except in two studies where the duration was not specified 16 or the outpatient group were those who left against medical advice. 20
In most studies, outpatients were expected to track symptoms and select vital signs. 15 , 17 , 19 , 22 , 23 , 24 , 25 , 27 Four studies included home visits by midwives or nurses multiple times weekly 17 , 22 , 23 , 24 and one study had patients report their vitals to a clinician daily. 25 The frequency of fetal heart monitoring ranged from daily to weekly across studies. 15 , 17 , 19 , 22 , 23 , 25 , 27 Eight studies reported regular investigations once to twice weekly, 15 , 17 , 18 , 19 , 23 , 24 , 25 , 27 including complete blood counts, 15 , 17 , 18 , 19 , 23 , 24 , 25 , 27 C‐reactive protein, 17 , 18 , 19 , 23 , 24 , 27 urine and vaginal cultures, 23 , 24 and amniotic fluid culture. 19 Eight studies performed ultrasounds regularly. 15 , 17 , 18 , 19 , 22 , 24 , 25 , 27 One study performed sterile speculum exams weekly and amnioinfusion at physician discretion. 15 Three studies recommended activity limitation. 15 , 18 , 22 Clinic appointments were scheduled every 2 weeks up to twice a week. 15 , 18 , 19 , 22 , 24 , 27 One study routinely readmitted outpatients at 32 weeks gestational age. 18
Inpatient care protocols were reported by most studies except three. 15 , 20 , 21 The protocols described were comparable and included daily or several times daily review of clinical symptoms, vital signs and fetal movements, and non‐stress test twice a week up to four times daily. Laboratory and ultrasound investigations were performed according to a similar schedule to outpatient care protocols, except for one study which reported biophysical profile and amniotic fluid assessment weekly for inpatients only. 23 Two studies maintained inpatients on bed rest. 15 , 22
Nine studies included timing of induction of labor in their protocols. 15 , 17 , 18 , 19 , 21 , 23 , 24 , 25 , 27 Cut‐off gestational ages included 34 weeks, 18 , 25 , 27 36–38 weeks, 17 , 19 , 23 , 24 and 40 weeks. 15
3.4. Risk of bias assessment
Among RCTs, one study had low risk of bias 15 and one study had moderate risk of bias 18 , 34 upon assessment with the RoB 2.0 tool. 34 Risk of bias was found to arise from the randomization process and deviation from the intended intervention. When assessing cohort studies using the ROBINS‐I tool, 35 eight studies had a moderate risk of bias 17 , 19 , 21 , 22 , 23 , 24 , 25 , 27 and two studies had a high risk of bias. 16 , 20 Risk of bias was identified predominantly in domains of bias due to confounding and bias due to selection of participants. Details of risk of bias assessment are included in Figure 2. When applying the GRADE framework for RCTs, risk of bias for all outcomes was considered serious because one of two included studies had a moderate risk of bias. 18 Similarly, when applying the GRADE framework for cohort studies, risk of bias for all outcomes was considered very serious since all contributing studies were retrospective cohort studies with at least moderate risk of bias on the ROBINS‐I tool. Detailed explanations of ratings contributing to the certainty of evidence for each outcome are included in Tables 2, 3, 4, 5.
FIGURE 2.

Risk of bias assessment. (A) RoB 2.0 risk of bias summary for RCTs. (+) low concern; (?) some concerns; (−) high concern. (B) ROBINS‐I risk of bias summary for cohort studies. (+) low risk, (?) moderate risk, (−) high risk for bias.
TABLE 2.
Neonatal and obstetrical outcomes from meta‐analysis of cohort studies.
| Outcome (no. of studies, participants) | Relative effect (95% CI) | Anticipated absolute effects (95% CI) | Certainty | What happens | ||
|---|---|---|---|---|---|---|
| Inpatient management | Outpatient management | Difference | ||||
| Perinatal mortality (eight observational studies, 1503) | RR 1.10 (0.65 to 1.86) | 4.4% | 4.8% (2.9 to 8.2) | 0.4% more (1.5 fewer to 3.8 more) |
⨁◯◯◯ |
We are very uncertain about the effect of outpatient management on perinatal mortality |
| Neonatal infectious morbidity (nine observational studies, 1655) | RR 1.12 (0.65 to 1.92) | 10.9% | 12.2% (7.1 to 20.9) | 1.3% more (3.8 fewer to 10 more) |
⨁◯◯◯ |
We are very uncertain about the effect of outpatient management on neonatal infectious morbidity |
| Respiratory distress syndromes (six observational studies, 933) | RR 0.63 (0.52 to 0.77) | 39.4% | 24.9% (20.5 to 30.4) | 14.6% fewer (18.9 fewer to 9.1 fewer) |
⨁◯◯◯ |
We are very uncertain about the effect of outpatient management on respiratory distress syndrome |
| Periventricular and intraventricular hemorrhage (four observational studies, 933) | RR 0.57 (0.22 to 1.50) | 5.9% | 3.3% (1.3 to 8.8) | 2.5% fewer (4.6 fewer to 2.9 more) |
⨁◯◯◯ |
We are very uncertain about the effect of outpatient management on peri‐ and intraventricular hemorrhage |
| Apgar <7 at 5 min (seven observational studies, 1239) | RR 0.66 (0.50 to 0.89) | 16.2% | 10.7% (8.1 to 14.5) | 5.5% fewer (8.1 fewer to 1.8 fewer) |
⨁◯◯◯ |
We are very uncertain about the effect of outpatient management on Apgar scores <7 at 5 min |
| Latency duration (eight observational studies, 1462) | – | – | MD 9.97 higher (4.14 higher to 15.81 higher) |
⨁⨁◯◯ Low a |
Outpatient management may increase the duration of latency | |
|
Gestational age at delivery (nine observational studies, 1717) |
– | – | MD 8.28 higher (2.11 higher to 14.45 higher) |
⨁⨁◯◯ Low c |
Outpatient management may increase gestational age at delivery | |
Note: The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI). GRADE Working Group grades of evidence: High certainty: we are very confident that the true effect lies close to that of the estimate of the effect. Moderate certainty: we are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different. Low certainty: our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect. Very low certainty: we have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect. Bold was used to highlight the effect measure when compared to confidence intervals (stylistic choice).
Abbreviations: CI, confidence interval; MD, mean difference; RD, risk difference; RR, risk ratio.
We rated down two levels for risk of bias because 75% of the evidence came from studies that were judged to be at moderate risk of bias and 25% from studies that were judged to be at high risk of bias due to confounding and participant selection.
We rated down one level because the confidence interval crosses null threshold for certainty of effect using minimally contextualized approach.
We rated down two levels for risk of bias because 78% of the evidence came from studies that were judged to be at moderate risk of bias and 22% from studies that were judged to be at high risk of bias due to confounding and participant selection.
We rated down two levels for risk of bias because 83% of the evidence came from studies that were judged to be at moderate risk of bias and 17% from studies that were judged to be at high risk of bias due to confounding and participant selection.
We rated down one level because the funnel plot used to assess for publication bias was asymmetrical.
We rated down two levels for risk of bias because 86% of the evidence came from studies that were judged to be at moderate risk of bias and 14% from studies that were judged to be at high risk of bias due to confounding and participant selection.
TABLE 3.
Maternal outcomes from meta‐analysis of cohort studies.
| Outcome (no. of studies, participants) | Relative effect (95% CI) | Anticipated absolute effects (95% CI) | Certainty | What happens | ||
|---|---|---|---|---|---|---|
| Inpatient management | Outpatient management | Difference | ||||
| Cesarean delivery (nine observational studies, 1583) | RR 0.95 (0.70 to 1.28) | 39.3% | 37.3% (27.5 to 50.3) | 2.0% fewer (11.8 fewer to 11 more) |
⨁◯◯◯ |
We are very uncertain about the effect of outpatient management on cesarean section |
| Clinical chorioamnionitis (eight observational studies, 1328) | RR 0.83 (0.50 to 1.39) | 11.9% | 9.9% (5.9 to 16.5) | 2.0% fewer (5.9 fewer to 4.6 more) |
⨁◯◯◯ |
We are very uncertain about the effect of outpatient management on clinical chorioamnionitis |
| Histological chorioamnionitis (three observational studies, 618) | RR 0.74 (0.62 to 0.89) | 55.8% | 41.3% (34.6 to 49.6) | 14.5% fewer (21.2 fewer to 6.1 fewer) |
⨁⨁◯◯ Low e |
Outpatient management may decrease the risk of histologic chorioamnionitis |
| Maternal sepsis (two observational studies, 503) | RR 2.90 (0.32 to 25.85) | 0.3% | 0.8% (0.1 to 6.9) | 0.5% more (0.2 fewer to 6.6 more) |
⨁◯◯◯ |
We are very uncertain about the effect of outpatient management on maternal sepsis |
| Postpartum endometritis (three observational studies, 476) | RD −0.02 (−0.08 to 0.03) | 7.6% | −0.2% (−0.6 to 0.2) | 7.8% fewer (8.2 fewer to 7.4 fewer) |
⨁◯◯◯ |
We are very uncertain about the effect of outpatient management on postpartum endometritis |
| Placental abruption (seven observational studies, 1608) | RR 1.18 (0.78 to 1.80) | 4.5% | 5.3% (3.5 to 8.1) | 0.8% more (1 fewer to 3.6 more) |
⨁◯◯◯ |
We are very uncertain about the effect of outpatient management on placental abruption |
| Cord prolapse (six observational studies, 1432) | RR 0.85 (0.32 to 2.25) | 1.7% | 1.5% (0.6 to 3.9) | 0.3% fewer (1.2 fewer to 2.2 more) |
⨁◯◯◯ |
We are very uncertain about the effect of outpatient management on cord prolapse |
Note: The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI). GRADE Working Group grades of evidence: High certainty: we are very confident that the true effect lies close to that of the estimate of the effect. Moderate certainty: we are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different. Low certainty: our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect. Very low certainty: we have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect. Bold was used to highlight the effect measure when compared to confidence intervals (stylistic choice).
Abbreviations: CI, confidence interval; MD, mean difference; RD, risk difference; RR, risk ratio.
We rated down one level because the confidence interval crosses null threshold for certainty of effect using minimally contextualized approach.
We rated down two levels for risk of bias because 78% of the evidence came from studies that were judged to be at moderate risk of bias and 22% from studies that were judged to be at high risk of bias due to confounding and participant selection.
We rated down for inconsistency because there was important heterogeneity among study results which could not be credibly explained by subgroup analysis.
We rated down two levels for risk of bias because 75% of the evidence came from studies that were judged to be at moderate risk of bias and 25% from studies that were judged to be at high risk of bias due to confounding and participant selection.
We rated down two levels for risk of bias because 100% of the evidence came from studies that were judged to be at moderate risk of bias due to confounding and participant selection.
We rated down two levels for risk of bias because 50% of the evidence came from studies that were judged to be at moderate risk of bias and 50% from studies that were judged to be at high risk of bias due to confounding and participant selection.
We rated down two levels for risk of bias because 67% of the evidence came from studies that were judged to be at moderate risk of bias and 33% from studies that were judged to be at high risk of bias due to confounding and participant selection.
TABLE 4.
Outcomes from meta‐analysis of RCTs.
| Outcome (no. of studies, participants) | Relative effect (95% CI) | Anticipated absolute effects (95% CI) | Certainty | What happens | ||
|---|---|---|---|---|---|---|
| Inpatient management | Outpatient management | Difference | ||||
| Perinatal mortality (two RCTs, 115) | RR 0.61 (0.05 to 8.03) | 7.0% | 4.3% (0.4 to 56.4) | 2.7% fewer (6.7 fewer to 49.3 more) |
⨁⨁◯◯ |
Outpatient management may decrease perinatal mortality |
| Neonatal infectious morbidity (two RCTs, 115) | RR 0.53 (0.16 to 1.81) | 10.5% | 5.6% (1.7 to 19.1) | 4.9% fewer (8.8 fewer to 8.5 more) |
⨁⨁◯◯ |
Outpatient management may decrease neonatal infectious morbidity |
| Latency (days) (two RCTs, 115) | – | – | MD 7.43 higher (1.14 higher to 13.72 higher) |
⨁⨁⨁◯ Moderate a |
Outpatient management probably increases the duration of latency | |
| Cesarean delivery (two RCTs, 115) | RR 0.88 (0.50 to 1.55) | 36.8% | 32.4% (18.4 to 57.1) | 4.4% fewer (18.4 fewer to 20.3 more) |
⨁⨁◯◯ |
Outpatient management may decrease cesarean delivery |
| Clinical chorioamnionitis (two RCTs, 115) | RR 1.29 (0.32 to 5.22) | 5.3% | 6.8% (1.7 to 27.5) | 1.5% more (3.6 fewer to 22.2 more) |
⨁⨁◯◯ |
Outpatient management may increase clinical chorioamnionitis |
Note: The risk in the intervention group (and its 95% confidence interval) is based on the assumed risk in the comparison group and the relative effect of the intervention (and its 95% CI). GRADE Working Group grades of evidence: High certainty: we are very confident that the true effect lies close to that of the estimate of the effect. Moderate certainty: we are moderately confident in the effect estimate: the true effect is likely to be close to the estimate of the effect, but there is a possibility that it is substantially different. Low certainty: our confidence in the effect estimate is limited: the true effect may be substantially different from the estimate of the effect. Very low certainty: we have very little confidence in the effect estimate: the true effect is likely to be substantially different from the estimate of effect. Bold was used to highlight the effect measure when compared to confidence intervals (stylistic choice).
Abbreviations: CI, confidence interval; MD, mean difference; RR, risk ratio.
We rated down one level because 50% of studies had some concerns for risk of bias due to risk of bias arising from the randomization process and deviation from the intended interventions.
We rated down one level because the confidence interval crosses null threshold for certainty of effect using minimally contextualized approach.
TABLE 5.
Summary of outcomes with RCT and cohort study meta‐analyses.
| Outcome | RCT meta‐analysis | Cohort study meta‐analysis | ||
|---|---|---|---|---|
| Relative effect (95% CI) | COE | Relative effect (95% CI) | COE | |
| Perinatal mortality | RR 0.61 (0.05 to 8.03) |
⨁⨁◯◯ Low |
RR 1.10 (0.65 to 1.86) |
⨁◯◯◯ Very low |
| Neonatal infectious morbidity | RR 0.53 (0.16 to 1.81) |
⨁⨁◯◯ Low |
RR 1.12 (0.65 to 1.92) |
⨁◯◯◯ Very low |
| Latency (days) | MD 7.43 a (1.14 to 13.72) |
⨁⨁⨁◯ Moderate |
MD 9.97 a (4.14 to 15.81) |
⨁⨁◯◯ Low |
| Cesarean delivery | RR 0.88 (0.50 to 1.55) |
⨁⨁◯◯ Low |
RR 0.95 (0.70 to 1.28) |
⨁◯◯◯ Very low |
| Clinical chorioamnionitis | RR 1.29 (0.32 to 5.22) |
⨁⨁◯◯ Low |
RR 0.83 (0.50 to 1.39) |
⨁◯◯◯ Very low |
Bold was used to highlight the outcome where the confidence interval did not cross the null value.
Confidence interval does not include the null value.
3.5. Synthesis of results
The results of the meta‐analyses are described by outcome. Although observational studies are more prone to bias, the body of evidence derived from them is larger and more contemporary than that of the RCTs. Therefore, for outcomes where data from RCTs and cohort studies was available, the results of both meta‐analyses are reported to provide a more robust summary of the evidence than reporting on RCTs alone. Since important statistical heterogeneity was detected in two outcomes, duration of latency and delivery by cesarean, subgroup analysis according to the duration of initial hospitalization was performed only for these outcomes and was not indicated for all others.
3.5.1. Neonatal outcomes
Perinatal mortality
Meta‐analysis of two RCTs 15 , 18 including 115 patients yielded perinatal mortality of 4.3% for outpatients vs 7% for inpatients (RR 0.61, 95% CI 0.05 to 8.03; low COE due to risk of bias and imprecision, Tables 4, 5). Based on the meta‐analysis of eight cohort studies 16 , 17 , 20 , 21 , 23 , 24 , 25 , 27 which included 1503 patients, neonatal mortality for the outpatient vs inpatient groups was 4.7% vs 4.4% (RR 1.10, 95% CI 0.65 to 1.86; very low COE due to risk of bias and imprecision, Tables 2, 5). Sensitivity analysis removing two cohort studies 16 , 20 with high risk of bias did not alter the results (Figure S4).
Neonatal infectious morbidity
Based on the meta‐analysis of two RCTs, 15 , 18 including 115 patients, neonatal infectious morbidity was 5.6% for outpatients vs 10.5% for inpatients (RR 0.53, 95% CI 0.16 to 1.81; low COE due to risk of bias and imprecision, Tables 4, 5). Nine cohort studies 16 , 17 , 19 , 20 , 21 , 22 , 23 , 24 , 27 reported on neonatal infectious morbidity, including 1655 patients. In this meta‐analysis, incidence was 11.1% of the outpatient group and 10.9% of the inpatient group (RR 1.12, 95% CI 0.65 to 1.92; very low COE due to risk of bias and imprecision, Tables 2, 5). Removal of two studies 16 , 20 due to high risk of bias demonstrated a lower risk of neonatal infectious morbidity among outpatients (RR 0.93, 95% CI 0.57 to 1.50), however the confidence interval remained wide and crossed 1 (Figure S4).
Respiratory distress syndrome (RDS)
In six cohort studies 16 , 17 , 19 , 22 , 24 , 27 that reported on RDS, which included 933 patients, neonates born to patients managed as outpatients were 37% less likely to have RDS compared to those managed as inpatients (24.4% vs. 39.4%, RR 0.63, 95% CI 0.52 to 0.77; very low COE due to risk of bias and publication bias, Tables 2, Figure 3). One study 16 with high risk of bias was removed, which did not change the results of the meta‐analysis (Figure 3C).
FIGURE 3.

Forest plots. (A) Latency: RCT and cohort study meta‐analyses. (B) Gestational age at delivery: cohort study meta‐analysis. (C) Respiratory distress syndrome: cohort study meta‐analysis. (D) Apgar <7 at 5 min of life: cohort study meta‐analysis. (E) Histological chorioamnionitis: cohort study meta‐analysis.
Peri‐ and intraventricular hemorrhage
Based on a meta‐analysis of four cohort studies 16 , 17 , 23 , 24 representing 933 patients, the outpatient group was 43% less likely to demonstrate peri‐ and intra‐ventricular hemorrhage compared to the inpatient group (3.5% vs. 5.9%, RR 0.57, 95% CI 0.22 to 1.50; very low COE due risk of bias and imprecision, Tables 2). Results were consistent after removal of one study 16 with high risk of bias (Figure S4).
Apgar <7 at 5 min
Seven cohort studies, 16 , 17 , 19 , 23 , 24 , 25 , 27 which included 1239 patients, reported on rates of Apgar score <7 at 5 min of life. This was 11.8% among those managed as outpatients vs 16.2% among those managed as inpatients (RR 0.66, 95% CI 0.50 to 0.89; very low COE due to risk of bias and imprecision, Tables 2). This effect measure was unchanged after removal of one study 16 with high risk of bias (Figure 3D).
3.5.2. Obstetrical outcomes
Latency
Meta‐analysis of two RCTs 15 , 18 including 115 patients demonstrated an increase in latency among outpatients where the mean difference was 7.43 days longer (95% CI 1.14 to 13.72; moderate COE due to risk of bias, Tables 4, 5, Figure 3A). Eight cohort studies 16 , 17 , 20 , 22 , 23 , 24 , 25 , 27 including 1462 patients were meta‐analyzed separately, and again latency was over 1 week longer in the outpatient group (MD 9.97 days, 95% CI 4.14 to 15.81 days; low COE, Tables 2, 5, Figure 3A). Although heterogeneity was detected, subgroup analysis could not be performed since only one study fell within the >72‐h initial hospitalization group. Sensitivity analysis that involved removal of two studies 16 , 20 with high risk of bias increased the magnitude of this effect (MD 13.23 days, 95% CI 8.83 to 17.64 days) (Figure 3A).
Gestational age at delivery
Nine cohort studies 16 , 17 , 20 , 21 , 22 , 23 , 24 , 25 , 27 reported on gestational age at delivery for 1717 patients. The mean gestational age at delivery was 8.28 days higher for the outpatient group compared to the inpatient group (95% CI 2.11 to 14.45 days; low COE, Tables 2). The effect was not changed significantly after removal of two studies 16 , 20 with high risk of bias (Figure 3B).
3.5.3. Maternal outcomes
Cesarean delivery
Meta‐analysis of two RCTs 15 , 18 including 115 patients reported cesarean delivery of 32.4% for outpatients vs 36.8% for inpatients (RR 0.88, 95% CI 0.50 to 1.55; low COE due to risk of bias and imprecision, Tables 4, 5). Based on meta‐analysis of nine cohort studies 16 , 17 , 19 , 20 , 21 , 23 , 24 , 25 , 27 which included 1583 patients, patients managed by either protocol were equally likely to be delivered by cesarean (34.0% vs. 39.3%, RR 0.95, 95% CI 0.70 to 1.28; very low COE due to risk of bias and imprecision, Tables 3, 5). There was important statistical heterogeneity noted between cohort studies, which was further explored by subgroup analysis to determine whether duration of initial hospitalization (≤72 h vs. >72 h) may have impacted this outcome. It was hypothesized that the >72‐h group may represent patients who were more clinically stable, and therefore, less likely to require urgent delivery by cesarean. The credibility of this subgroup analysis was assessed using the ICEMAN instrument 39 and was found to be low‐rated down due to comparisons between trials and because all studies contributing to the analysis were of moderate risk of bias. Removal of two cohort studies 16 , 20 with high risk of bias did not change this effect compared to the main analysis (Figure S5).
Clinical chorioamnionitis
Meta‐analysis of two RCTs 15 , 18 including 115 patients demonstrated rates of clinical chorioamnionitis of 6.8% for outpatients vs 5.3% for inpatients (RR 1.29, 95% CI 0.32 to 5.22; low COE due to risk of bias and imprecision, Tables 4, 5). Conversely, meta‐analysis of eight cohort studies, 16 , 17 , 19 , 20 , 23 , 24 , 25 , 27 representing 1328 patients, demonstrated this outcome in 11.7% of those managed as outpatients, and 11.9% of inpatients (RR 0.83, 95% CI 0.50 to 1.39; very low COE due to risk of bias and imprecision, Tables 3, 5). After removal of two cohort studies with high risk of bias, 16 , 20 the outpatient group demonstrated a larger magnitude of risk reduction (RR 0.73, 95% CI 0.53 to 1.02), however the 95% confidence interval continued to cross 1 (Figure S4).
Histological chorioamnionitis
Based on three cohort studies 21 , 22 , 23 which included 618 patients, the outpatient group demonstrated reduced risk of histological chorioamnionitis compared to the inpatient group (40.4% vs. 55.8%, RR 0.74, 95% CI 0.62 to 0.89; low COE, Tables 3, Figure 3). All studies included were of moderate risk of bias (Figure 3E).
Maternal sepsis
Only two cohort studies, 20 , 23 including 503 patients, reported on maternal sepsis and one of these studies had a high risk of bias. 20 Therefore, although meta‐analysis from the two studies yielded RR 2.90 (95% CI 0.32 to 25.85; very low COE due to risk of bias and imprecision, Tables 3), no conclusion could be drawn with regard to this outcome (Figure S4).
Postpartum endometritis
Three cohort studies, 16 , 19 , 23 which represented 476 patients, reported on incidence of postpartum endometritis. Two studies 16 , 19 reported zero events in either group, and one study 23 reported rates of 4.6% in the outpatient group and 7.6% in the inpatient group. Because two of the three studies reported zero events and could not be included in the meta‐analysis based on risk ratios, this outcome was meta‐analyzed by risk difference. The overall risk difference was −0.02 (95% CI −0.08 to 0.03; very low COE due to risk of bias and imprecision, Tables 3). One study 16 was removed due to high risk of bias, however, this study did not report any events of postpartum endometritis in either group (Figure S4).
Placental abruption
Based on meta‐analysis of seven cohort studies 17 , 21 , 22 , 23 , 24 , 25 , 27 including 1608 patients, the incidence of placental abruption was 6.4% in the outpatient group and 4.5% in the inpatient group (RR 1.18, 95% CI 0.78 to 1.80; very low COE due to risk of bias and imprecision, Tables 3). All studies were found to have moderate risk of bias (Figure S4).
Cord prolapse
Six cohort studies, 17 , 21 , 23 , 24 , 25 , 27 which included 1432 patients, reported on cord prolapse. This occurred in 1.6% of those managed as outpatients and 1.7% of those managed as inpatients (RR 0.85, 95% CI 0.32 to 2.25; very low COE due to risk of bias and imprecision, Tables 3). All studies included were of moderate risk of bias (Figure S4).
4. DISCUSSION
This systematic review and meta‐analysis suggests that outpatient management may be a viable option for a selected population of patients with PPROM. The meta‐analyzed data indicates that outpatient care following a short period of in‐hospital observation may be at least as safe as inpatient management, given that there was no demonstrated difference in severe neonatal, obstetrical, or maternal outcomes. In addition, the data suggests that there may be some benefits to outpatient care, with the outpatient group demonstrating longer latency from PPROM to delivery consistently across both the RCT and cohort study meta‐analyses. Limited to meta‐analysis of cohort studies, this study demonstrates higher gestational age at delivery, and lower risks of neonatal respiratory distress syndrome, Apgar scores of <7 at 5 min of life, and histological chorioamnionitis.
The current study is the most up‐to‐date review of available evidence and the first meta‐analysis to include observational studies on the topic. The Cochrane review published in 2014 also investigated outpatient management of PPROM patients. 28 This systematic review included only randomized and quasi‐randomized trials and was thus limited to two studies of 116 total patients. 15 , 29 One of these studies is included in the current review, the other was a conference abstract which could not be included due to lack of full‐text publication. 15 , 29 The trials included had similarly strict inclusion criteria and 48‐to‐72‐h initial hospitalization periods prior to randomization. The Cochrane study reported insufficient data to analyze pre‐specified outcomes, including perinatal mortality. In keeping with the results reported here, they found no significant differences between groups regarding serious neonatal morbidity or chorioamnionitis. They also found no difference in gestational age at delivery or birthweight, whereas the current study showed benefit in gestational age at delivery among those managed as outpatients (MD 8.28 days, 95% CI 2.11 to 14.45 days; low COE, Tables 2, 3, 4, 5, Figure 3). The Cochrane review was limited by insufficient outcomes for maternal morbidity and mortality, however, suggested inpatients may have been more likely to deliver by cesarean. This finding was not reproduced in the current review. Finally, the Cochrane review reported on admission time, patient satisfaction, and system cost, with outpatients having shorter stays by 10 days, more satisfaction with care, and lower associated costs. These outcomes could not be reported in our systematic review as there was inconsistency and low rates of reporting on these outcomes among included studies.
This systematic review was conducted with considerable methodologic rigor and included five databases with no language restrictions and in compliance with PRISMA 30 and PRESS 31 guidelines. In addition, assessments of trustworthiness, 32 , 33 certainty of evidence using the GRADE methodology, 40 and credibility of subgroup analysis using the ICEMAN tool 39 were completed. It considered both RCTs and cohort studies to present a comprehensive view of the available data. The RCTs were assessed to have a low and moderate risk of bias, while most cohort studies included were judged to have a moderate risk of bias. Sensitivity analysis removing cohort studies with high risk of bias did not significantly change results. The studies included represent a broad scope of practice and report on patients from four continents. As such, this review also presents a series of outpatient management protocols relevant to international practice settings.
The quality of evidence is a limitation of this study. Both included RCTs are small and fared poorly during trustworthiness assessment 32 due to lack of prospective trial registration 15 , 18 and lack of institutional ethics approval, 18 and the larger meta‐analysis is based on retrospective cohort studies. When assessed using the GRADE framework, 40 certainty of evidence for outcomes reported in this study was rated as very low to moderate (Tables 2, 3, 4, 5). This does, however, represent the best published evidence on the question and it is becoming increasingly common to consider both observational studies and RCTs in comparative effectiveness studies. 45 Where evidence from RCTs may be lacking or of questionable certainty, it becomes reasonable for recommendations to be made based on the meta‐analysis of observational studies. 46 Another limitation is that the included protocols restrict outpatient management to a lower risk sub‐population, with many cohort studies allowing for physician selection as the allocation method. This does introduce significant potential for bias. However, results of the meta‐analysis of cohort studies were generally consistent with results of the meta‐analysis of RCTs. In particular, latency was demonstrated to be meaningfully longer among outpatients in both analyses. Where RCT and cohort meta‐analyses demonstrated contradictory associations, both confidence intervals included the null value. Additionally, in half the cohort studies, the inpatient comparator group was comprised of patients who met eligibility criteria for outpatient management, but decided against discharge or were limited by geography. 16 , 21 , 22 , 24 , 25 In other studies where the control group was not specified or did not meet the outpatient management eligibility criteria, 17 , 19 , 20 , 23 , 27 this potential for bias was considered in the risk of bias assessment. This is likely reflective of clinical practice where only stable candidates with an appropriate home environment would be offered outpatient management. The eligibility criteria published offer guidance on appropriate selection of patients, however there is no clear consensus regarding the optimal eligibility criteria for outpatient management. The variability in criteria noted across studies likely reflects differences in local practice patterns and resource availability, and represents an opportunity for further study. We additionally acknowledge that all reported outcomes may not be directly related to outpatient vs. inpatient management. However, we meta‐analyzed and reported all outcomes with adequate data reported by the original studies in accordance with our PROSPERO registration and in recognition of the importance of these outcomes to patients and providers. Finally, the variability in outcomes reported across studies and their respective definitions limited the ability to pool and meta‐analyze data. This indicates a need for standardization of outcome definitions and reporting.
5. CONCLUSION
This systematic review and meta‐analysis of the best available evidence comparing outpatient vs inpatient management of lower‐risk patients with PPROM suggests at least equivocal safety and potential benefit for those managed as outpatients with appropriate surveillance protocols. There are also foreseeable benefits to outpatient management not captured in the current study, including system cost savings and reduced psychosocial distress for patients in avoidance of prolonged hospitalizations. While the publications available are predominantly retrospective cohort studies, and thus, the ability to make strong recommendations is limited, these findings support outpatient management as a viable option and highlight the need for clearer guidance on patient selection and protocol development. Although this is a rigorously done systematic review and meta‐analysis, the certainty of evidence remains moderate to very low. This justifies the need for a well‐powered, multicenter, randomized controlled trial to assess the safety and benefit of outpatient management for PPROM, the design of which is outside of the scope of the current review.
AUTHOR CONTRIBUTIONS
Study conception and design: Stefania Ronzoni and Rohan D'Souza. Acquisition of data: Monica Williamson, Susan Dong. Analysis and interpretation of data: Monica Williamson, Susan Dong, Romina Brignanello‐Petersen. Drafting manuscript: Monica Williamson, Rohan D'Souza, Stefania Ronzoni. Critical revision: Stefania Ronzoni and Rohan D'Souza.
CONFLICT OF INTEREST STATEMENT
None.
Supporting information
Data S1.
ACKNOWLEDGMENTS
We would like to acknowledge the contributions of Taylor Moore (Medical Information Specialist, Sunnybrook Health Sciences Center, Toronto, Canada) in design and implementation of the literature search, Sepand Alavifard (MD, Department of Obstetrics and Gynecology, University of Toronto, Toronto, Canada) in providing translation and Rizwana Ashraf (MD, Department of Obstetrics and Gynecology, McMaster University, Hamilton, Canada) in supporting data analysis.
Williamson M, Dong S, D’Souza R, Brignardello‐Petersen R, Ronzoni S. Outpatient vs inpatient management of preterm prelabor rupture of membranes: A systematic review and meta‐analysis. Acta Obstet Gynecol Scand. 2024;103:2147‐2162. doi: 10.1111/aogs.14903
REFERENCES
- 1. Goldenberg RL, Culhane JF, Iams JD, Romero R. Epidemiology and causes of preterm birth. Lancet. 2008;371:75‐84. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2. Mercer B. Preterm premature rupture of the membranes. Obstet Gynecol. 2003;101:178‐193. [DOI] [PubMed] [Google Scholar]
- 3. Dammann O, Leviton A, Gappa M, Dammann CEL. Lung and brain damage in preterm newborns, and their association with gestational age, prematurity subgroup, infection/inflammation and long term outcome. BJOG. 2005;112:4‐9. [DOI] [PubMed] [Google Scholar]
- 4. Boettcher LB, Clark EAS. Neonatal and childhood outcomes following preterm premature rupture of membranes. Obstet Gynecol Clin North Am. 2020;47:671‐680. [DOI] [PubMed] [Google Scholar]
- 5. Buchanan SL, Crowther CA, Levett KM, Middleton P, Morris J. Planned early birth versus expectant management for women with preterm prelabour rupture of membranes prior to 37 weeks' gestation for improving pregnancy outcome. Cochrane Database Syst Rev. 2010;(3):CD004735. [DOI] [PubMed] [Google Scholar]
- 6. Bendix JM, Hegaard HK, Bergholt T, Langhoff‐Roos J. Expectant management of PPROM and major complications before planned delivery: a retrospective cohort study. J Obstet Gynaecol (Lahore). 2014;35:570‐577. [DOI] [PubMed] [Google Scholar]
- 7. Ronzoni S, Boucoiran I, Yudin MH, et al. Guideline No. 430: diagnosis and management of preterm prelabour rupture of membranes. J Obstet Gynaecol Can. 2022;44:1193‐1208.e1. [DOI] [PubMed] [Google Scholar]
- 8. American College of Obstetricians and Gynecologists' Committee on Practice Bulletins – Obstetrics . Practice bulletin No. 172: premature rupture of membranes. Obstet Gynecol. 2016;128:e165‐e177. [DOI] [PubMed] [Google Scholar]
- 9. Peaceman AM, Lai Y, Rouse DJ, et al. Length of latency with preterm premature rupture of membranes before 32 weeks' gestation. Am J Perinatol. 2015;32:57‐62. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10. Melamed N, Hadar E, Ben‐Haroush A, Kaplan B, Yogev Y. Factors affecting the duration of the latency period in preterm premature rupture of membranes. J Matern Fetal Neonatal Med. 2009;22:1051‐1056. [DOI] [PubMed] [Google Scholar]
- 11. Martin D, Gardner MO, Howell K, Gonzalez JL, Griffin MW, Curet LB. Outcome and cost analysis of preterm premature rupture of membranes in an outpatient setting. Am J Manag Care. 1996;2:629‐632. [Google Scholar]
- 12. Richter MS, Parkes C, Chaw‐Kant J. Listening to the voices of hospitalized high‐risk antepartum patient. J Obstet Gynecol Neonatal Nurs. 2007;36:313‐318. [DOI] [PubMed] [Google Scholar]
- 13. Doyle NM, Monga M, Kerr M, Hollier LM. Maternal stressors during prolonged antepartum hospitalization following transfer for maternal‐fetal indications. Am J Perinatol. 2004;21:27‐30. [DOI] [PubMed] [Google Scholar]
- 14. Ramsey PS, Nuthalapaty FS, Lu G, Ramin S, Nuthalapaty ES, Ramin KD. Contemporary management of preterm premature rupture of membranes (PPROM): a survey of maternal‐fetal medicine providers. Am J Obstet Gynecol. 2004;191:1497‐1502. [DOI] [PubMed] [Google Scholar]
- 15. Carlan SJ, Lense JJ, O'Brien W, Parsons MT. Preterm premature rupture of membranes_ a randomized study of home versus hospital management. Obstet Gynecol. 1993;81:61‐64. [PubMed] [Google Scholar]
- 16. Ayres AW. Home management of preterm premature rupture of membranes. Int J Gynecol Obstet. 2002;78:153‐155. [DOI] [PubMed] [Google Scholar]
- 17. Beckmann M, Gardener G. Hospital versus outpatient care for preterm pre‐labour rupture of membranes. Aust N Z J Obstet Gynaecol. 2013;53:119‐124. [DOI] [PubMed] [Google Scholar]
- 18. Taghavi S, Abam F, Alikhah H. Maternal‐ fetal and neonatal outcome in 26–32 weeks pregnancies with preterm premature rupture of membranes (PPROM): a comparison between inpatient and outpatient management. Med J Tabriz Univ Med Sci. 2012;34(4):38‐46. [Google Scholar]
- 19. Huret E, Chanavaz‐Lacheray I, Grzegorczyk‐Martin V, Fournet P. Prise en charge à domicile des ruptures prématurées des membranes avant 37 semaines d'aménorrhée. Gynecol Obstet Fertil. 2014;42:222‐228. [DOI] [PubMed] [Google Scholar]
- 20. Alimohamadi S, Sanginabadi M, Seifrabie MA. A comparative evaluation of maternal & neonatal complications in women between outpatients & inpatients with preterm premature rupture of the membranes. Avicenna J Nurs Midwifery Care. 2014;22(2):26‐32. [Google Scholar]
- 21. Catt E, Chadha R, Tang S, Palmquist E, Lange I. Management of Preterm Premature Rupture of membranes: a comparison of inpatient and outpatient care. J Obstet Gynaecol Can. 2016;38:433‐440. [DOI] [PubMed] [Google Scholar]
- 22. Palmer L, Grabowska K, Burrows J, Rowe H, Billing E, Metcalfe A. A retrospective cohort study of hospital versus home care for pregnant women with preterm prelabor rupture of membranes. Int J Gynecol Obstet. 2017;137:180‐184. [DOI] [PubMed] [Google Scholar]
- 23. Dussaux C, Senat MV, Bouchghoul H, Benachi A, Mandelbrot L, Kayem G. Preterm premature rupture of membranes: is home care acceptable? J Matern Fetal Neonatal Med. 2018;31:2284‐2292. [DOI] [PubMed] [Google Scholar]
- 24. Guckert M, Clouqueur E, Drumez E, et al. Is homecare management associated with longer latency in preterm premature rupture of membranes? Arch Gynecol Obstet. 2020;301:61‐67. [DOI] [PubMed] [Google Scholar]
- 25. Mirteimouri M, Pourali L, Akbarzadeh S, Esmayili H, Hasanzadeh E. Inpatient vs. outpatient management of uncomplicated preterm premature rupture of membranes: a clinical trial. Int J Pediatr. 2021;9:14821‐14829. [Google Scholar]
- 26. Selim AM, Farag AS, Abd El Hameed SM, Abd El‐Aziz Salama MH. Planned domiciliary versus hospital care for women with preterm Prelabour rupture of the membranes (PPROM). Med Sci. 2021;25:82‐96. [Google Scholar]
- 27. Murillo C, Ferrero S, Cobo T, et al. Outpatient management of preterm prelabor rupture of membranes before 34 weeks: maternal and neonatal outcomes. Int J Gynecol Obstet. 2023;162:703‐710. [DOI] [PubMed] [Google Scholar]
- 28. Abou El Senoun G, Dowswell T, Mousa HA. Planned home versus hospital care for preterm prelabour rupture of the membranes (PPROM) prior to 37 weeks' gestation. Cochrane Database Syst Rev. 2014;2014:CD008053. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29. Ryan G, Oskamp M, Seaward PGR, Kitch T, Barrett J, Brennan B. Randomized controlled trial of inpatient vs outpatient management of PPROM. Am J Obstet Gynecol. 1999;180:S95. [Google Scholar]
- 30. Page MJ, McKenzie JE, Bossuyt PM, et al. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ. 2021;372:n71. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 31. McGowan J, Sampson M, Salzwedel DM, Cogo E, Foerster V, Lefebvre C. PRESS peer review of electronic search strategies: 2015 guideline statement. J Clin Epidemiol. 2016;75:40‐46. [DOI] [PubMed] [Google Scholar]
- 32. Weibel S, Popp M, Reis S, Skoetz N, Garner P, Sydenham E. Identifying and managing problematic trials: a research integrity assessment tool for randomized controlled trials in evidence synthesis. Res Synth Methods. 2023;14:357‐369. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33. The Center for Scientific Integrity . The Retraction Watch Database. Available from: http://retractiondatabase.org/
- 34. Sterne JAC, Savović J, Page MJ, et al. RoB 2: a revised tool for assessing risk of bias in randomised trials. BMJ. 2019;366:l4898. [DOI] [PubMed] [Google Scholar]
- 35. Sterne JA, Hernán MA, Reeves BC, et al. ROBINS‐I: a tool for assessing risk of bias in non‐randomised studies of interventions. BMJ. 2016;355:i4919. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 36. Bun RS, Scheer J, Guillo S, Tubach F, Dechartres A. Meta‐analyses frequently pooled different study types together: a meta‐epidemiological study. J Clin Epidemiol. 2020;118:18‐28. [DOI] [PubMed] [Google Scholar]
- 37. Paul M, Leeflang MM. Reporting of systematic reviews and meta‐analysis of observational studies. Clin Microbiol Infect. 2021;27:311‐314. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38. The Cochrane Collaboration . Review Manager (RevMan) [Computer program]. Published online 2020.
- 39. Schandelmaier S, Briel M, Varadhan R, et al. Development of the instrument to assess the credibility of effect modification analyses (ICEMAN) in randomized controlled trials and meta‐analyses. CMAJ. 2020;192(32):E901‐E906. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40. Schünemann H, Brożek J, Guyatt G, Oxman A, eds. GRADE handbook for grading quality of evidence and strength of recommendations. Updated October 2013. The GRADE Working Group. guidelinedevelopment.org/handbook
- 41. McMaster University and Evidence Prime . GRADEpro GDT: GRADEpro guideline development tool [software]. Published online 2022.
- 42. Bocquet C, Garabedian C, Rousselle B, Balagny S, Tillouche N, Deruelle P. Comparaison de l'hospitalisation à domicile et de l'hospitalisation conventionnelle dans la prise en charge des ruptures prématurées des membranes. Rev Med Perinat. 2012;4:2‐8. [Google Scholar]
- 43. Garabedian C, Bocquet C, Duhamel A, et al. Rupture prématureé des membranes: peut‐on proposer une prise en charge à domicile ? J Gynecol Obstet Biol Reprod (Paris). 2016;45:278‐284. [DOI] [PubMed] [Google Scholar]
- 44. Bouchghoul H, Kayem G, Schmitz T, et al. Outpatient versus inpatient care for preterm premature rupture of membranes before 34 weeks of gestation. Sci Rep. 2019;9:4280. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45. Page MJ, Shamseer L, Altman DG, et al. Epidemiology and reporting characteristics of systematic reviews of biomedical research: a cross‐sectional study. PLoS Med. 2016;13:e1002028. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46. Malinowski AK, Shehata N, D'Souza R, et al. Prophylactic transfusion for pregnant women with sickle cell disease: a systematic review and meta‐analysis. Blood. 2015;126:2424‐2435. [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data S1.
