Literature DB >> 35152473

Association of early discharge with increased likelihood of hospital readmission in first four weeks for vaginally delivered neonates.

Maria Pohjanpää1, Riitta Ojala1,2, Tiina Luukkaala3,4, Mika Gissler5,6,7,8, Outi Tammela1,2.   

Abstract

AIM: The main aim was to determine whether hospital readmission rates by 28 days of age are elevated with early discharge (ED) in Finland. We sought to identify the causes and predictors of ED, readmission rates, admissions to the intensive care unit (ICU) and death.
METHODS: The data of 333,321 infants were retrieved from nationwide registers. Vaginally delivered single infants at gestational ages (GAs) of ≥37+0 , born in 2008-2015 and treated in any maternity ward in Finland, were included. ED was defined as discharge on the day of birth or after one night stay on the maternity ward.
RESULTS: During the study period, the ED and hospital readmission rates increased. Low-risk infants and those born in high population-density areas were more likely to be discharged early. ED predicted hospital readmission but not ICU admission or death. The most common reason for readmission was jaundice, followed by infection. ED seemed not to predict severe cardiologic problems. Rather than ED, being born at 38+0 -38+6  weeks' GA significantly predicted ICU admission or death.
CONCLUSION: Early discharge seems to be associated with increased hospital readmission. Birth at 38+0 -38+6  weeks' GA was a significant predictor of ICU admission or death, as opposed to early discharged infants.
© 2022 The Authors. Acta Paediatrica published by John Wiley & Sons Ltd on behalf of Foundation Acta Paediatrica.

Entities:  

Keywords:  early discharge; full-term; hospital readmission; newborn discharge timing

Mesh:

Year:  2022        PMID: 35152473      PMCID: PMC9306497          DOI: 10.1111/apa.16290

Source DB:  PubMed          Journal:  Acta Paediatr        ISSN: 0803-5253            Impact factor:   4.056


appropriate for gestational age critical congenital heart defect confidence interval care register for health care early discharge gestational age intensive care unit interquartile range large for gestational age length of hospital stay Medical Birth Register median odds ratios standard deviation Statistics Finland small for gestational age Finnish institute for health and welfare The early discharge (less than two nights’ stay) and hospital readmission rates increased among low‐risk newborns born in Finland. Infants discharged early had an increased risk of readmission to hospital but not of admission to the intensive care unit (ICU) or death, by 28 days’ age. Being born at 38+0–38+6 weeks’ gestational age predicted admission to the ICU or death by 28 days’ age.

INTRODUCTION

Since the 1970s, the lengths of the hospital stay (LOSs) for newborns and their mothers after uncomplicated vaginal deliveries have steadily shortened, especially in developed countries, for example, in the United States, Canada and Sweden. , , Early discharge (ED) has several advantages, including reduced costs, reduced risk of iatrogenic infection and the opportunity for the mother and infant to recover in a familiar, home environment. , However, ED may hold potential risks. As an example, critical congenital heart defects (CCHDs), jaundice and gastrointestinal obstructions may not appear within one to two days after birth. , , , , ED may also lead to fewer opportunities for healthcare practitioners to guide breastfeeding and parenting. Reduced LOSs have been associated with increased readmission rates, especially due to jaundice. According to a report from California (1992–1995), discharging a neonate on the day of birth increased the risk of infant readmission. However, no significant risk was detected if the newborn was discharged one day after birth. In Finland, the average LOS for newborns decreased from 3.7 days in 2006 to 2.9 days in 2015. , In total, 5.7% of neonates were discharged at 0–1 days’ age and 27.4% at 2 days’ age in 2015.  There are many recent studies concerning early postpartum discharge, but sparse information is available in the Nordic countries concerning the outcomes of healthy term neonates discharged early from delivery hospitals. Therefore, the aim of this study was to investigate whether ED after uncomplicated vaginal delivery is associated with increased hospital readmission rates by the time infants reach 28 days old. The authors also aimed to establish the causes and predictors of ED, along with readmission rates, admissions to the intensive care unit (ICU) and death.

PATIENTS AND METHODS

Selection of the study population

The number of live births in Finland from 2008 to 2015 was 471,232. A national register study included 333,321 vaginally delivered, liveborn single babies at gestational ages (GAs) of ≥37+0 weeks treated on a maternity ward. Infants born via caesarean section were excluded since they usually stay in the hospital longer given their mothers’ indications. Also, infants born out of the hospital, admitted after birth to the neonatal ICU, or admitted after birth to another paediatric ward at the same or another hospital, were excluded. Infants with chromosomal anomalies were included only if those anomalies were detected after the perinatal period. Finally, 412 infants and mothers with missing information on the date of discharge, or who were discharged when the infant's age was more than 28 days, and 13,230 newborns with discrepant data across the registers, were excluded. In Finland, paediatricians examine all newborns before discharge. If the check‐up occurs when the infant is <24 h old, newborns are invited to a prescheduled re‐examination by the paediatrician, usually at three to five days of age. Infants discharged at the age of <48 h and infants with risk factors will be referred to check‐up to outpatient clinic run by a midwife at the hospital. In the remaining cases, a public healthcare nurse checks the newborn at 3–7 days of age. Data on infants and mothers were collected from the Medical Birth Register (MBR), run by the Finnish Institute for Health and Welfare (THL). This register includes data on livebirths and stillbirths at birthweights of at least 500 g or GAs of at least 22+0 weeks. The MBR’s data sources are maternity hospitals and the Population Information System headed by the Digital and Population Data Services Agency and Cause‐of‐Death Register, Statistics Finland (SF). The validity of the MBR has been proven reliable. , Data on readmissions and hospital stays were collected from the Care Register for Health Care (CRHC), also maintained by the THL. The CRHC contains information on admissions, discharges, diagnoses, procedures and interventions. The dates and causes of death were obtained from SF. The information from the MBR, CRHC and SF was linked individually via each infant's anonymised personal identity code made by recordkeeping authorities.

Exposure

Neonates were analysed in three groups according to their discharge days: (1) discharged on the day of birth (1st day), (2) discharged one day after birth (2nd day) and (3) discharged beyond day after birth (after 2nd day). Infants discharged on the 1st or 2nd day were defined as discharged early. The covariates included can be seen in Tables 1 and 2. Regions were divided according to five university hospital areas: southern (population density ~87/km2), eastern (~13/km2), northern (~5/km2), western (~27/km2) and southwestern (~34/km2). GAs were categorised as 37+0–38+6 (early term), 39+0–40+6, 41+0–41+6 and ≥42+0 (post‐term). Small for gestational age (SGA) and large for gestational age (LGA) were defined as a birthweight of ≤−2 or ≥+2 standard deviations (SDs), respectively, according to the national sex‐specific standard.
TABLE 1

Characteristics of infants and their mothers

Day of discharge1st day2nd dayAfter 2nd day p‐Value*
(n = 2,089; 0.6%)(n = 24,296; 7.3%)(n=306,936; 92.1%)1st day vs. after 2nd day2nd day vs. after 2nd day
Mother
Age (years), n (%)<0.001<0.001
<2011(0.5)120(0.5)7,056(2.3)
20–24238(11.4)2,904(12.0)48,680(15.9)
25–29665(31.8)7,626(31.4)98,087(32.0)
30–34723(34.6)8,973(36.9)99,394(32.4)
35–39379(18.1)3,969(16.3)44,095(14.4)
≥4073(3.5)704(2.9)9,624(3.1)
Marital status, n (%)
Married1,305(62.5)15,089(62.1)17,7209(57.7)<0.001<0.001
Cohabiting1,905(91.4)22,560(92.9)278,246(90.8)0.601<0.001
Socioeconomic group, n (%)<0.001<0.001
Upper‐level employees727(34.8)9,514(39.2)135,694(44.2)
Lower‐level employees3(0.1)50(0.2)1,071(0.3)
Entrepreneurs59(2.8)626(2.6)7,031(2.3)
Manual workers230(11.0)2,377(9.8)34,446(11.2)
Students149(7.1)1,915(7.9)28,800(9.4)
Pensioners0(0.0)2(0.0)91(0.0)
Others1 107(5.1)975(4.0)11,160(3.6)
BMI, n (%)<0.001<0.001
<18.584(4.0)915(3.8)11,411(3.7)
18.5–24.91,326(63.6)15,644(64.5)192,102(62.8)
25–29.9395(18.9)4,770(19.7)63,680(20.8)
≥30184(8.8)2,280(9.4)33,058(10.8)
Pregnancy
Primipara, n (%)37(1.8)580(2.4)97,739(31.8)<0.001<0.001
Previous miscarriages, n (%)521(24.9)5,887(24.2)64,780(21.1)<0.001<0.001
Smoking, n (%)<0.001<0.001
Stopped smoking during 1st trimester90(4.3)1,214(5.0)18,119(5.9)
Smoked after 1st trimester298(14.3.)2,626(10.8)26,385(8.6)
Prenatal visits
Median (IQR)13(11–16)14(12–16)15(13–18)<0.001<0.001
At the hospital clinic, median (IQR)2(1–3)2(1–3)3(1–4)<0.001<0.001
Insulin treatment started during pregnancy, n (%)10(0.5)212(0.9)4,530(1.5)<0.001<0.001
Gestational diabetes2, n (%)18(0.9)921(3.8)29,862(9.7)<0.001<0.001
Delivery
Birth hospital level, n (%)<0.001<0.001
University566(27.1)8,625(35.5)102,229(33.3)
Central1,030(49.3)10,500(43.2)149,333(48.7)
Other3 493(23.6)5,171(21.3)55,374(18.0)
Gestational age, n (%)<0.001<0.001
37+0–37+6 31(1.5)341(1.4)12,265(4.0)
38+0–38+6 159(7.6)2389(9.8)37,759(12.3)
39+0–40+6 1,371(65.6)15,242(62.7)178,741(58.2)
41+0–41+6 452(21.6)5,427(22.3)64,645(21.1)
≥42+0 76(3.6)897(3.7)13,525(4.4)
Mode of vaginal delivery, n (%)<0.001<0.001
Normal vaginal2,062(98.7)23,644(97.3)273,409(89.1)
Breech delivery9(0.4)117(0.5)1,983(0.6)
Instrumental delivery4 18(0.9)535(2.2)31,544(10.3)
Time of birth, n (%)<0.001<0.001
Morning (8:00 AM–3:00 PM)474(22.7)6,211(25.6)85,293(27.8)
Evening (3:00 PM–10:00 PM)55(2.6)3,470(14.3)99,241(32.3)
Night (10:00 PM–8:00 AM)1,559(74.6)14,612(60.1)122,195(39.8)
Day of birth, n (%)0.7520.924
Weekday1,544(73.9)17,890(73.6)225,922(73.6)
Weekend545(26.1)6,406(26.4)81,014(26.4)
Newborn
Sex, male, n (%)1,045(50.0)11,965(49.2)153,822(50.1)0.9340.009
Birthweight, mean (IQR)5 3,612(3,350–3,865)3,626(3,350–3,880)3,566(3,260–3,860)<0.001<0.001
SGA2(0.1)34(0.1)3,889(1.3)
AGA2,079(99.5)24,067(99.1)297,598(97.0)
LGA8(0.4)195(0.8)5,431(1.8)
Resuscitation, n (%)1(0.0)22(0.1)424(0.1)0.2670.052
One‐min Apgar 0–6, n (%)13(0.6)267(1.1)9,708(3.2)<0.001<0.001
Phototherapy, n (%)19(0.9)246(1.0)12,836(4.2)<0.001<0.001

*p‐values were tested via Pearson's chi‐squared test or Kruskal–Wallis test. IQR= interquartile range.1Others include, for example, unemployed and full‐time mothers.2Mothers’ diabetes: gestational diabetes= O24; DM1= E10; DM2= E11.3Other include regional hospitals and healthcare centres.4Instrumental delivery includes, for example, forceps and vacuum extraction. 5Birthweight.

Abbreviations: AGA, appropriate for gestational age; LGA, large for gestational age; SGA, small for gestational age.

TABLE 2

Predictors of early discharge after birth

Early discharge (ED) (N = 26,385)

All

(N = 333,321)

ED

(n = 26,385)

Multivariable adjusted for ED*
n (%) p OR(95% CI)
Mother
Primipara
No234,96525,768(11.0)1
Yes98,356617(0.6)<0.0010.05(0.04, 0.05)
BMI
18.5–30278,59322,184(8.0)<0.0011
<18.512,410999(8.0)0.0071.10(1.02, 1.18)
≥3035,7322,477(6.9)<0.0010.82(0.78, 0.86)
Age
25–29 years106,3788,291(7.8)<0.0011
<25 years59,0093,272(5.5)<0.0010.91(0.87, 0.95)
30–34 years123,68411,084(9.0)<0.0010.91(0.88, 0.93)
≥35 years44,2503,737(8.4)<0.0010.75(0.72, 0.78)
Smoking
No277,18921,469(7.7)<0.0011
Yes48,7324,228(8.7)<0.0011.27(1.23, 1.32)
Gestational age
39+0–40+6195,35416,613(8.5)<0.0011
37+0–37+612,637372(2.9)<0.0010.36(0.33, 0.41)
38+0–38+640,3072,548(6.3)<0.0010.77(0.74, 0.81)
41+0–41+670,5245,879(8.3)0.101.02(1.00, 1.06)
≥42+014,498973(6.7)0.0070.91(0.85, 0.97)
Mode of vaginal delivery
Normal vaginal29,91525,706(8.6)<0.0011
Breech delivery2,109126(6.0)0.090.84(0.70, 1.03)
Instrumental delivery1 32,097553(1.7)<0.0010.30(0.27, 0.33)
Time of birth
Morning (8:00 AM–3:00 PM)91,9786,685(7.3)<0.0011
Evening (3:00 PM–10:00 PM)102,7663,525(3.4)<0.0010.46(0.44, 0.48)
Night (10:00 PM–8:00 AM)138,36616,171(11.7)<0.0011.76(1.70, 1.81)
Place of birth
University hospital111,4209,191(8.2)<0.0011
Central hospital160,86311,53(7.2)<0.0010.65(0.63, 0.68)
Other2 61,0385,664(9.3)<0.0010.68(0.64, 0.70)
University hospital's catchment area
Southern131,20214,260(10.9)<0.0011
Eastern45,1582,301(5.1)<0.0010.35(0.34, 0.37)
Northern53,6731,029(1.9)<0.0010.12(0.11, 0.13)
Western54,0305,154(9.5)<0.0010.69(0.66, 0.71)
Southwestern48,6343,580(7.4)<0.0010.53(0.51–0.56)
Newborn
Sex
Female166,48913,375(8.0)1
Male166,83213,010(7.8)0.150.98(0.96, 1.01)
One‐min Apgar
7–10323,12126,093(8.1)1
0–69,988280(2.8)<0.0010.51(0.45, 0.58)
Birthweight3
AGA323,74426,146(8.1)<0.0011
SGA3,92536(0.9)<0.0010.13(0.09, 0.18)
LGA5,634203(3.6)<0.0010.38(0.33, 0.44)
Phototherapy
No320,22026,120(8.2)1
Yes13,101265(2.0)<0.0010.39(0.34, 0.43)
Year of birth
2008–200985,7144,986(5.8)<0.0011
2010–2012127,0829,935(7.8)<0.0011.40(1.35, 1.46)
2013–2015120,52511,464(9.5)<0.0011.87(1.81, 1.94)

*Multivariable‐adjusted logistic regressions were used, and results are shown by odds ratios (ORs) with 95% confidence intervals (CIs).1: Instrumental delivery including, for example, forceps and vacuum extraction.2: Other includes regional hospitals and healthcare centres. 3: Birthweight.

Abbreviations: AGA, appropriate for gestational age; LGA, large for gestational age; SGA, small for gestational age.

Characteristics of infants and their mothers *p‐values were tested via Pearson's chi‐squared test or Kruskal–Wallis test. IQR= interquartile range.1Others include, for example, unemployed and full‐time mothers.2Mothers’ diabetes: gestational diabetes= O24; DM1= E10; DM2= E11.3Other include regional hospitals and healthcare centres.4Instrumental delivery includes, for example, forceps and vacuum extraction. 5Birthweight. Abbreviations: AGA, appropriate for gestational age; LGA, large for gestational age; SGA, small for gestational age. Predictors of early discharge after birth All (N = 333,321) ED (n = 26,385) *Multivariable‐adjusted logistic regressions were used, and results are shown by odds ratios (ORs) with 95% confidence intervals (CIs).1: Instrumental delivery including, for example, forceps and vacuum extraction.2: Other includes regional hospitals and healthcare centres. 3: Birthweight. Abbreviations: AGA, appropriate for gestational age; LGA, large for gestational age; SGA, small for gestational age. Causes of readmission were categorised into 11 groups according to the International Statistical Classification of Diseases and Related Health Problems, Tenth Revision (ICD‐10), as follows: lower respiratory infectious diseases (J09–J18, J20–J22 and A37); other infectious diseases (A02.1, A40, A41, P36, A04.3, A39, A85, A87 and B00) including inflammatory diseases of the central nervous system (G00–G09), soft tissue infections (A46, H00.03, L03, H05.0 and P38), bone and joint infections (M00, M86) and urinary tract infections (N10, N12, N39.0 and P39.3); and gastrointestinal problems including congenital lactase deficiency (E73.0), gastrointestinal obstruction and acute abdomen (K31.1, Q40.0, K40.3, K56, P76, Q41, Q42, Q43.1, R10.0, K63.1 and K65), hepatic failure (K72), gastrointestinal haemorrhage (K92, P54.0 and P54.1) and biliary atresia (Q44.29). Diagnoses P57–P59 and R17 were categorized as jaundice. Haematologic problems included haemolytic anaemia (D59), coagulation disorder (D65, D66) and haemolytic disease of the foetus and newborn (P55 and P56). Hypoglycaemia and inadequate nutrition included hypoglycaemia (P70.4), dehydration (P74.1 and E86), insufficient feeding (P92.3, P98.2 and E40–E46) and abnormal weight loss (R63.4). Cardiologic problems included hypertension (I15), endocarditis and myocarditis (I38 and I51.4), cardiac arrest (I46), paroxysmal tachycardia (I47), heart failure (I50), persistent foetal circulation (P29.31) and cardiac defects (Q20, Q21.30, Q25.1, Q25.21, Q25.6, I35.0 and I37.0). Neurologic problems included convulsions (G40, G41, P90 and G47.3), intracranial haemorrhages (P52.0 and I60–169) and malformations of the central nervous system (Q00–Q07). Injuries were categorised as S00–T74. The category of other included social problems (Z59, Z63, Z75 and Z81) and neonatal withdrawal symptoms (P96.1 and P04). Mild conditions, which could not be included in any category, were defined as ‘miscellaneous, minor causes’—for example, medical observations and suspicions of diseases or conditions.

Outcomes

The main endpoint was infant readmission to any hospital ward after discharge by the age of 28 days. The secondary measures were the causes and predictors of ED, ICU admissions or death by the time infants were 28 days old. The causes of ICU admissions and detailed factors of deaths were clarified.

Statistical analyses

Either Pearson's chi‐squared test, the Kruskal–Wallis test or Cochran–Armitage trend test was used in group comparisons, as appropriate. Potential predictors of ED, readmission, ICU admission and/or death were analysed via multivariable logistic regression analysis. The covariates used can be seen in Table 3. Risk factors of readmission were analysed by dividing the groups into three categories (1st, 2nd and after 2nd day discharge) and into two categories (ED and discharge after the 2nd day). The results were presented as odds ratios (ORs) and 95% confidence intervals (CIs).
TABLE 3

Predictors of readmission, admission to ICU or death (age ≤28 days)

Readmission (N = 10,443)ICU or Died (N = 87)
N YesMultivariable*YesMultivariable *
(333,321) n (%) p OR(95% CI) n (%) p OR(95% CI)
Mother
Primipara
No234,9657,749(3.3)163(<0.1)1
Yes98,3562,694(2.7) <0.001 0.77 (0.73, 0.80) 24(<0.1)0.630.88(0.53, 1.47)
BMI(<0.1)
18.5–29.9278,5938,504(3.1)0.02170(<0.1)0.891
<18.512,410406(3.3)0.291.06(0.95, 1.17)3(<0.1)0.910.93(0.29, 2.98)
≥3035,7321,327(3.7) 0.002 1.10 (1.03, 1.17) 14(<0.1)0.441.26(0.70, 2.24)
Age
25–29 years106,3783,188(3.0)<0.001127(<0.1)0.161
<25 years59,0091,905(3.2) <0.001 1.15 (1.08, 1.22) 23(<0.1)0.121.58(0.89, 2.79)
30–34 years123,6843,918(3.2)0.681.01(0.96, 1.06)25(<0.1)0.410.80(0.46, 1.38)
≥35 years44,2501,432(3.2)0.440.98(0.91, 1.04)12(<0.1)0.821.08(0.54, 2.17)
Smoking
No277,1898,690(3.1)0.88167(<0.1)0.651
Yes48,7321,521(3.1)0.680.99(0.93, 1.05)18(<0.1)0.361.29(0.75, 2.21)
Gestational age
39+0–40+6 195,3545,525(2.8)<0.001147(<0.1)0.011
37+0–37+6 12,637939(7.4) <0.001 1.97 (1.83, 2.12) 6(<0.1)0.331.54(0.64, 3.68)
38+0–38+6 40,3072,119(5.3) <0.001 1.67 (1.58, 1.76) 21(<0.1) 0.02 1.89 (1.12, 3.18)
41+0–41+6 70,5241,549(2.2) <0.001 0.80 (0.76, 0.85) 8(<0.1)0.080.51(0.24, 1.07)
≥42+0 14,498311(2.1) <0.001 0.79 (0.71, 0.89) 5(<0.1)0.201.82(0.72, 4.62)
Mode of vaginal delivery
Normal vaginal29,9159,318(3.1)0.25182(<0.1)0.071
Breech delivery2,10971(3.4)0.590.94(0.73, 1.19)2(<0.1)0.222.44(0.58, 10.20)
Instrumental delivery1 32,0971,054(3.3)0.121.06(0.99, 1.13)3(<0.1)0.060.32(0.10, 1.03)
Time of birth
Morning (8:00 AM–3:00 PM)91,9782,851(3.1)0.04124(<0.1)0.931
Evening (3:00 PM–10:00 PM)102,7663,348(3.3)0.171.04(0.99, 1.09)30(<0.1)0.711.11(0.65, 1.90)
Night (10:00 PM–8:00 AM)138,3664,233(3.1)0.500.98(0.94, 1.03)33(<0.1)0.800.93(0.55, 1.58)
Place of birth
University hospital111,4203,421(3.1)<0.001142(<0.1)0.491
Central hospital160,8634,920(3.1) <0.001 1.10 (1.05, 1.15) 41(<0.1)0.731.09(0.69, 1.71)
Other2 61,0382,102(3.4) <0.001 1.23 (1.16, 1.31) 4(<0.1)0.3070.57(0.19, 1.68)
University hospital's catchment area
Southern131,2024,102(3.1)<0.00117(<0.1)<0.0011
Eastern45,1581,383(3.1)0.231.04(0.98, 1.11)11(0.1) 0.009 3.74 (1.40, 10.01)
Northern53,6731,649(3.3) <0.001 0.80 (0.76, 0.86) 5(<0.1)0.651.31(0.40, 4.27)
Western54,0301,680(3.1)0.280.97(0.91, 1.03)41(<0.1) <0.001 11.58 (4.92, 27.30)
Southwestern48,6341,614(3.1)0.211.04(0.98, 1.11)23(<0.1) <0.001 7.61 (3.15, 18.34)
Newborn
Sex
Female166,4894,795(2.9)143(<0.1)1
Male166,8325,648(3.4) <0.001 1.12 (1.08, 1.17) 44(<0.1)0.890.97(0.64, 1.48)
One‐min Apgar
7–10323,12110,137(3.1)182(<0.1)1
0–69,988302(3.0)0.100.90(0.80, 1.02)5(0.1)0.092.26(0.89, 5.72)
Birthweight3
AGA323,74410,043(3.1)0.001186(<0.1)1.001
SGA3,925122(3.1)0.330.91(0.76, 1.10)1(<0.1)1.000.96(0.13, 6.96)
LGA5,634276(4.9) <0.001 1.27 (1.12, 1.44) 0(<0.1)0.98
Phototherapy
No320,2208,602(2.7)176(<0.1)1
Yes13,1011,841(14.1) <0.001 5.33 (5.02, 5.64) 11(0.1) 0.002 2.92 (1.49, 5.72)
Year of birth
2008–200985,7142,206(2.6)<0.00115(<0.1)<0.0011
2010–2012127,0824,100(3.2) <0.001 1.28 (1.22, 1.35) 12(<0.1)0.371.62(0.57, 4.60)
2013–2015120,5254,137(3.4) <0.001 1.30 (1.23, 1.37) 70(<0.1) <0.001 10.10 (4.07, 25.06)
Discharging group
Discharge after 2nd day306,9369,563(3.1)178(<0.1)1
Early discharge26,385880(3.3) <0.001 1.15 (1.07, 1.24) 9 (<0.1)0.541.25(0.61, 2.58)

*Multivariable‐adjusted logistic regressions were used, and results are shown by odds ratios (ORs) with 95% confidence intervals (CIs).1Instrumental delivery includes, for example, forceps and vacuum extraction.2Other include regional hospitals and healthcare centres.3Birthweight.

Abbreviations: AGA, appropriate for gestational age; LGA, large for gestational age; SGA, small for gestational age.

The Bold values are statistically significant.

Predictors of readmission, admission to ICU or death (age ≤28 days) *Multivariable‐adjusted logistic regressions were used, and results are shown by odds ratios (ORs) with 95% confidence intervals (CIs).1Instrumental delivery includes, for example, forceps and vacuum extraction.2Other include regional hospitals and healthcare centres.3Birthweight. Abbreviations: AGA, appropriate for gestational age; LGA, large for gestational age; SGA, small for gestational age. The Bold values are statistically significant. Statistical analyses were performed with IBM SPSS Statistics for Windows, versions 24 and 25 (IBM Corp., released 2013). A p‐value of < 0.05 was considered statistically significant.

Missing data

The date of hospital discharge was missing for 1.4% of the newborns. In case of a missing date, the mother's date of hospital discharge was used in healthy newborns. The missing data for other variables were as follows: cohabitation (4.4%), socioeconomic group (29.5%), smoking (2.2%), prenatal visits (2.1%) and prenatal visits at the hospital clinic (4.2%). The proportions of all other variables were less than 1%.

Ethics approval

This study was approved by the Ethics Committee of the Pirkanmaa Hospital District, THL and SF.

RESULTS

Timing and predictors of early discharge

In total, 7.9% (n = 26,385) of newborns were discharged early, that is, on the 1st or 2nd day, and this percentage increased over time (Figure 1). According to Cochran–Armitage trend test, the yearly change was statistically significant between 1st or 2nd and after 2nd day (<0.0001) but not between 1st and 2nd day (p = 0.107). In this ED group, most of the mothers were ≥30 years old or upper‐level employees, and most of the newborns were born at the central hospital (Table 1). The predictors of ED are presented in Table 2.
FIGURE 1

Mean length of stay at the hospital and percentages of neonates discharged on the 1st day, 2nd day and after 2nd day post‐birth

Mean length of stay at the hospital and percentages of neonates discharged on the 1st day, 2nd day and after 2nd day post‐birth

Readmission

Of all neonates, 3.1% (n = 10,443) were readmitted to the hospital by the time they reached 28 days of age. The infants discharged after the 2nd day were readmitted less often than those discharged earlier (Table 3). Readmission rates increased over time, especially among infants discharged early (Figure 2). According to Cochrane–Armitage trend test, the proportion of early discharged increased during time period from 2008 to 2015 (p = 0.0005).
FIGURE 2

Percentages of neonates readmitted to the hospital by the age of 28 days

Percentages of neonates readmitted to the hospital by the age of 28 days In all university hospital areas, the readmission rates were similar: 3.1%–3.3%. The time between hospital discharge and readmission was the shortest among infants discharged on the 1st day (1st day median (Md): 5.0, interquartile range (IQR): 2.0–13.5; 2nd day Md: 7.0, IQR 3.0–16.0; after 2nd day Md: 7.0, IQR: 2.0–15.0). The overall difference between groups was p = 0.039, and the pairwise comparisons were as follows: 1st versus 2nd day: p = 0.049; 2nd veresus after 2nd day: p = 0.034; 1st versus after 2nd day: p = 0.174. Of the infants readmitted, most initial readmissions occurred at the age of <7 days (32.5%, n = 3,398). Following this, 29.7% (n = 3,097) were initially readmitted at 7–13 days old, 19.2% (n = 2,008) at 14–20 days old and 18.6% (n = 1,940) at 21–27 days old (p < 0.001). The number of readmissions ranged from one to five, but 94.0% (n = 9,817) were readmitted only once.

Causes of readmission

The most common reasons for readmission were ‘miscellaneous, minor causes’, especially among infants discharged on the 1st day. The most common single cause for readmission was jaundice (30.9%), followed by infection (20.6%). Readmission because of hypoglycaemia and inadequate nutrition affected 0.3% of newborns discharged on the 1st day, and 0.1% of newborns discharged on the 2nd day and after the 2nd day (p = 0.003) (Table S1). Other categories contained no statistical differences between neonates discharged on the 1st or 2nd day or after the 2nd day. Some infants had more than one diagnosis code registered as the reason for readmission.

Risk factors for readmission

The risk factors of readmission were analysed in two different ways, by dividing the groups into two (ED and discharge after the 2nd day) or three (1st, 2nd and after 2nd day discharge) categories. ED was a significant risk factor for readmission in the analysis divided into two discharge groups (Table 3). Additionally, infants of mothers with BMIs ≥30 or aged <25 years, as well as infants born at 38+0–38+6 weeks’ GA, in central or other hospitals, who were male, were LGA, with a history of phototherapy or born after the year 2009, were statistically significantly more likely to be readmitted. Infants of primiparae, with GAs of ≥41+0 weeks, or born in the northern university hospital area had a decreased risk of readmission (Table 3). The multivariable analysis in which three discharge groups were included detected the same significant risk factors as the first analysis with minor, insignificant differences in p‐values, ORs and CIs. An ‘after 2nd day’ discharge was associated with decreased risk of readmission (OR 0.88 (95% CI 0.82, 0.95) p < 0.001), while 1st day discharge was not a statistically significant risk factor for readmission (OR 1.21 (95% CI 0.96, 1.53) p = 0.114).

Admission to ICU and mortality

Table 3 presents risk factors for ICU admission or death; early discharge was not a significant predictor of either. In total, 75 newborns were admitted to the ICU. Nine (12.0%) of these infants were discharged on the 2nd day and 66 (88.0%) after the 2nd day; none were discharged on the 1st day. Of the infants admitted to the ICU, 24 (32.0%) were born at 37–38+6 and 20 (27.0%) at 38+0–38+6 weeks’ GA. Considering their ages, 34 (45.3%) neonates were admitted to the ICU at <7 days old. The proportions of infants admitted to the ICU increased over time. In 2008, 2/100,000 neonates were admitted to the ICU; in 2011, 7/100,000; in 2012, 12/100,000; in 2013, 54/100,000; in 2014, 47/100,000; and in 2015, 64/100,000 (p < 0.001). No neonates were admitted to the ICU in 2009 or 2010. ICU admission rates differed notably among the university hospital areas. In the southern area, 2/100,000 neonates were admitted to the ICU; in the eastern area, 18/100,000; in the northern area, 7/100,000; in the western area, 74/100,000; and in the southwestern area, 43/100,000 (p < 0.001). The causes of ICU admission included infections (n = 25), gastrointestinal problems (n = 25), neurologic problems (n = 9), respiratory problems (n = 6) and cardiologic problems (n = 2), and a further eight infants were admitted for observation. Jaundice was the most common single cause, followed by respiratory tract infections. In nine of the latter cases, respiratory syncytial virus was diagnosed. Nine other neonates were readmitted because of sepsis—two early onset and the remaining late onset. In the early‐onset cases, no specific organisms were detected. Among the late onset cases, one was caused by streptococci, one by staphylococci and one by a gram‐negative organism. All 12 newborns who died had been discharged at ≥2 days old. The causes of death were sudden infant death syndrome in five, cardiologic problems in four (including oneCCHD, hypoplastic left heart syndrome) and infections in two cases.

DISCUSSION

Principal findings

Post‐birth LOS for healthy, vaginally delivered single babies was shortened, and hospital readmission rates increased over time. Neonates discharged early were more likely to be low‐risk infants born in areas with high population densities. History of phototherapy before discharge was the most common risk factor, and jaundice was the most common single cause of hospital readmission. ED, including infants discharged on the 1st or 2nd day, predicted readmission. Nevertheless, the 1st day discharge did not seem to be a significant, independent risk factor for readmission. The rates of ICU admission and mortality were extremely low, and ED seemed not to be associated with these outcomes. However, birth at 38 weeks’ GA was a significant predictor of ICU admission or death.

Strengths of the study

A strength of this study was that it involved a population‐based, complete, national cohort with a large number of cases. Using linked data from several national health registers served as a valid method. It was possible to obtain information about diagnoses, complications and causes of death from the registers—providing comprehensive, reliable data.

Limitations of the data

The MBR and hospital record data do not contain time labels, and thus, the authors were unable to analyse exactly how many hours old the newborns were when examined by the paediatrician and when discharged. Information on breastfeeding would also have been helpful for establishing factors behind jaundice, hypoglycaemia and inadequate nutrition.

Interpretation

The increasing global trend of ED was seen in this population. The mean LOS has, in many countries, become much shorter than that in Finland. In California 12%—and in England, up to 90%—of newborns are discharged within 2 days of vaginal birth. ED is a concept that has no standardised definition, and it varies markedly between different countries and hospitals, as well as between publications (Table 4).
TABLE 4

Definitions of early discharge of neonates according to earlier publications

PublicationYear of publicationCountryDefinition of early discharge
Danielsen, et al. 4 2000United States≤48 h (very early ≤24 h)
Zimmerman, et al. 6 2003Israel≤24 h or less
Isayama, et al. 9 2020Canada<48 h
Farhat, et al. 10 2011Lebanon≤48 h
Nilsson, et al. 19 2017Denmark13–50 h (very early ≤12 h)
Meara, et al. 29 2004Unites StatesWithin 1 day
Our definitionFinland≤2nd day
Definitions of early discharge of neonates according to earlier publications The discharge time is associated with parity of birth, infant and psychosocial factors. , , As predictive, factors necessitating longer follow‐up periods for either the mother or the neonate, for example, primiparous or older mothers and early or post‐term infant or infants required phototherapy were less likely to be discharged early. As found in previous research,  mothers’ smoking was associated with ED. It is possible, that the smokers do not feel comfortable in the hospitals, where smoking is prohibited and are therefore eager to get discharged as soon as possible. The readmission rate and significant predictors (ED and male sex) of readmission, coincided with earlier research (e.g., readmission rate 25–30/1,000 in California and 32/1,000 in Canada). , , However, in our study, the difference in readmission was slight between ED newborns and those who were not discharged early. Jaundice was the most common single cause of readmission and ICU admission, but no kernicterus cases were found. In our study, infants born at 38+0–38+6 weeks’ GA were at an increased risk of readmission, in contrast to infants born at 37+0–37+6 weeks’ GA. The healthcare professionals tend probably to be more cautious with the infants born at <38 weeks GA, and thus, smaller proportions of these less mature infants are discharged early. Infants of primiparous mothers have, in earlier research, been found to be at an increased risk of readmission.  The present findings, in contrast, might be explained by the fact that infants of primiparous mothers were less likely to be discharged early. The incidence of early‐onset sepsis was also low as since 2013, in Finland, the THL has recommended routine antenatal screening for vaginal carriage of group B streptococcus and antepartum antibiotic prophylaxis.  Newborns with increased risk of neonatal sepsis are monitored more closely than they were before, and they now have a longer LOS. Births in lower than tertiary‐level hospitals were associated with increased risk of readmission, but births in northern Finland were associated with decreased risk of readmission. Inside Finland, there were also significant geographical differences concerning ICU admission. These findings could be explained, at least partly, by differences between travelling distances from the hospital to home in the north and south, discharge practices and registration procedures in hospitals. Sudden infant death syndrome, as well as cardiologic and circulatory issues, including one CCHD, were the most common causes of death in the present sample. CCHDs have occurred in 19.1/10,000 births across 12 countries and approximately 8.85 million births. On average, the prenatal detection rate has been 50%, ranging between 13% and 87% among centres. After 2006, pulse oximetry screens were distributed to most delivery hospitals in Finland. , Both high‐quality prenatal diagnostics and nationwide neonatal pulse oximetry screening may explain the low rate of adverse events related to CCHDs in the sample. Birth at 38 weeks seemed associated with increased risk of readmission to the ICU or death. A previous Finnish register study also reported that being born early term was associated with low Apgar scores, perinatal mortality and adverse neurologic outcomes. A correlation between ED and mortality has been previously established in a few single‐unit studies. Yet, among 7,009 infants in one study, there were no deaths in the ED group by the time the infants were 30 days old. Furthermore, no correlation between a shorter LOS and death by the age of 14 days was found among 920,554 neonates in another. Accordingly, none of the twelve newborns who died in the present study population were discharged early. Many studies indicate that ED is safe for neonates if certain criteria are followed and if early follow‐up visits are arranged. ,  This, combined with appropriate prenatal and early postnatal diagnostics and screening systems in Finland, has created a structure in which well‐selected neonates can be discharged early after birth without increased risk of adverse events.

CONCLUSION

The ED and hospital readmission rates among low‐risk newborns increased over the study period. This study shows that ED is marginally associated with the risk of readmission to the hospital. Yet, ED did not seem to predict ICU admission or death. Instead, infants born at 38+0–38+6 weeks’ GA had an increased risk of admission to the ICU or death within four weeks after birth.

CONFLICT OF INTEREST

The authors have no conflicts of interest to declare. Table S1 Click here for additional data file.
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1.  Higher neonatal morbidity after routine early hospital discharge: are we sending newborns home too early?

Authors:  M Lock; J G Ray
Journal:  CMAJ       Date:  1999-08-10       Impact factor: 8.262

2.  Increased neonatal readmission rate associated with decreased length of hospital stay at birth in Canada.

Authors:  S Liu; S W Wen; D McMillan; K Trouton; D Fowler; C McCourt
Journal:  Can J Public Health       Date:  2000 Jan-Feb

3.  Length of postnatal stay in healthy newborns and re-hospitalization following their early discharge.

Authors:  Piyush Gupta; Saurabh Malhotra; Dharmendra K Singh; Tarun Dua
Journal:  Indian J Pediatr       Date:  2006-10       Impact factor: 1.967

4.  Newborn discharge timing and readmissions: California, 1992-1995.

Authors:  B Danielsen; A G Castles; C L Damberg; J B Gould
Journal:  Pediatrics       Date:  2000-07       Impact factor: 7.124

5.  Data quality after restructuring a national medical registry.

Authors:  M Gissler; J Teperi; E Hemminki; J Meriläinen
Journal:  Scand J Soc Med       Date:  1995-03

6.  Trends in length of stay for hospital deliveries--United States, 1970-1992.

Authors: 
Journal:  MMWR Morb Mortal Wkly Rep       Date:  1995-05-05       Impact factor: 17.586

Review 7.  Review of pulse oximetry screening for critical congenital heart defects in newborn infants.

Authors:  Andrew K Ewer
Journal:  Curr Opin Cardiol       Date:  2013-03       Impact factor: 2.161

8.  Impact of early newborn discharge legislation and early follow-up visits on infant outcomes in a state Medicaid population.

Authors:  Ellen Meara; Uma R Kotagal; Harry D Atherton; Tracy A Lieu
Journal:  Pediatrics       Date:  2004-06       Impact factor: 7.124

9.  Hospital Care Cost and Resource Use of Early Discharge of Healthy Late Preterm and Term Singletons: A Population-based Cohort Study and Cost Analysis.

Authors:  Tetsuya Isayama; Daria O'Reilly; Joseph Beyene; Prakesh S Shah; Shoo K Lee; Sarah D McDonald
Journal:  J Pediatr       Date:  2020-06-28       Impact factor: 4.406

10.  Newborn Length of Stay and Risk of Readmission.

Authors:  Katie Harron; Ruth Gilbert; David Cromwell; Sam Oddie; Jan van der Meulen
Journal:  Paediatr Perinat Epidemiol       Date:  2017-04-18       Impact factor: 3.980

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