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BMC Pediatrics

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Current practice of neonatal resuscitation documentation in North America: a multi-center retrospective chart review

  • Matthew S. Braga1Email author,
  • Prakash Kabbur2,
  • Pradeep Alur3,
  • Michael H. Goodstein3,
  • Kari D. Roberts4,
  • Katie Satrom4,
  • Sandesh Shivananda5,
  • Ipsita Goswami5,
  • Mariann Pappagallo6,
  • Carrie-Ellen Briere6 and
  • Gautham Suresh7
BMC Pediatrics201515:184

https://doi.org/10.1186/s12887-015-0503-8

Received: 26 July 2015

Accepted: 9 November 2015

Published: 14 November 2015

Abstract

Background

To determine the comprehensiveness of neonatal resuscitation documentation and to determine the association of various patient, provider and institutional factors with completeness of neonatal documentation.

Methods

Multi-center retrospective chart review of a sequential sample of very low birth weight infants born in 2013. The description of resuscitation in each infant’s record was evaluated for the presence of 29 Resuscitation Data Items and assigned a Number of items documented per record. Covariates associated with this Assessment were identified.

Results

Charts of 263 infants were reviewed. The mean gestational age was 28.4 weeks, and the mean birth weight 1050 g. Of the infants, 69 % were singletons, and 74 % were delivered by Cesarean section. A mean of 13.2 (SD 3.5) of the 29 Resuscitation Data Items were registered for each birth. Items most frequently present were; review of obstetric history (98 %), Apgar scores (96 %), oxygen use (77 %), suctioning (71 %), and stimulation (62 %). In our model adjusted for measured covariates, the institution was significantly associated with documentation.

Conclusions

Neonatal resuscitation documentation is not standardized and has significant variation. Variation in documentation was mostly dependent on institutional factors, not infant or provider characteristics. Understanding this variation may lead to efforts to standardize documentation of neonatal resuscitation.

Keywords

Neonatal resuscitationNeonatal documentationNeonatal resuscitation programCode documentationDocumentation

Background

The quality of resuscitation and stabilization of a neonate immediately after birth has a significant effect on neonatal morbidity and mortality, particularly in high-risk infants such as very-low-birth-weight infants [1]. In order to ensure optimal care immediately after birth, the quality of such resuscitation should be monitored within an institution and across institutions. The most practical source of data to evaluate neonatal resuscitation performance is the documentation by health professionals in the medical chart about the baby’s condition and the care provided during resuscitation. Several reports of the quality of medical documentation suggest room for improvement [27]. A recent single-center study from Sweden reported that in 45 % of cases, documentation of the neonatal resuscitation was incomplete [8]. The 2000 International Liaison Committee on Resuscitation (ILCOR) for Neonatal Resuscitation recommendations on documentation state: “Assign Apgar scores at 1 and 5 min after birth and then sequentially every 5 min until vital signs have stabilized. Complete documentation must also include a narrative description of interventions performed and their timing” [9]. The updated 2010 ILCOR guidelines do not include any specific recommendations for neonatal resuscitation documentation [10, 11].

There have been no studies so far about how well neonatal resuscitation is documented in North America and what deficiencies exist in such documentation. We hypothesized that documentation of neonatal resuscitation frequently lacks inclusion of key items. Therefore we conducted this study in order to: (1) Develop a comprehensive set of items that should ideally be included in resuscitation documentation, (2) Assess the frequency, and nature of included, missing, and incomplete documentation in the medical records of high-risk neonates in multiple institutions, (3) Identify factors associated with completeness of documentation.

Methods

This was a retrospective multicenter study conducted in 6 North American institutions. Institutional Review Board approval and waiver of consent was obtained at each participating institutions including; Dartmouth College, University of Minnesota, McMaster University, University of Connecticut, York Hospital WellSpan Health, Hawaii Pacific Health.

Using a modified Delphi process [12] with a panel of 10 neonatologists from the participating institutions, we developed a comprehensive list of items that could possibly be included in neonatal resuscitation documentation. The panel was instructed to develop a comprehensive list of items that was all-inclusive, and that could serve as a precursor to a short practical list of items to routinely monitor the performance and quality of neonatal resuscitation. Two investigators (MB and GS) developed the initial list of items and circulated it to the expert panel, which reviewed the list in an iterative fashion to generate a final comprehensive list of 29 Resuscitation Data Items. We also developed operational definitions for each of these items. Two investigators (MB and GS) then abstracted the Resuscitation Data Items from 5 records in their institution to pilot test and refine the operational definitions.

We then sought to review the actual neonatal resuscitation documentation in the charts of 50 inborn very low birth weight (VLBW, ≤1500 g) infants in each institution that were born sequentially in 2013. We chose VLBW infants because they are readily identifiable and have a high likelihood of resuscitation interventions such as intubation, immediately after delivery. This ensured that we had an adequate number of relevant resuscitation events to evaluate during chart review. We excluded infants ≥1500 g, infants <1500 g with absent or unavailable medical records, and out-born infants. If an institution could not locate a medical record for an infant, we used the next available sequential medical record of an eligible infant.

The documentation reviewed included all patient notes written by physicians, nurse practitioners or physician assistants for the first two calendar days of life for these infants. These notes contained resuscitation records (including ‘code sheets’), initial history and physical documentation, procedure notes, and progress/event notes for each infant. We did not review nursing or respiratory therapy flow-sheets or medication administration records as we decided that ideally relevant information related to resuscitation of the infant should be included in one location such as the delivery note. Maternal records were not reviewed. Participating institutions sent de-identified copies of these records to the principal investigator’s institution by secure mail for review and data extraction. The principal investigator (MB) reviewed the charts, and extracted data. Study data were collected and managed using REDCap (Research Electronic Data Capture) electronic data capture tools hosted at Dartmouth. REDCap is a secure, web-based application designed to support data capture for research studies [13]. Investigators from one center (Institution E on Tables and Figures) performed the chart review themselves. Investigators at this center received detailed instructions and definitions for each item, and performed pilot data abstraction of five records prior to reviewing the 50 definitive charts from their institution. Records from the principal investigator’s institution were printed from the electronic medical record and reviewed locally for data extraction.

To identify hospital-level variables we obtained characteristics of each neonatal intensive care unit from the investigators.

Number of items documented per record: In each infant’s record we assessed whether or not each Resuscitation Data Item was documented. An item was counted as ‘documented’ if the notes reviewed mentioned that item in any form. This could include a description of an intervention (such as bag-mask-ventilation) being provided to the infant, or a statement that such an item was not provided to the infant, or was not required by the infant. An item was counted as ‘not documented’ if there was no mention at all in the reviewed notes of the item. The maximum possible number of documented items in the record was 29.

Analysis

Institutional characteristics and patient demographics

We derived descriptive statistics for the characteristics of participating institutions, and the demographic characteristics of patients whose charts were reviewed, including: birth weight and gestational age, multiple gestation, method of delivery, and presence of congenital anomalies. Patient characteristics were analyzed for the overall sample as well as for each institution.

Descriptive analysis of documentation

The number and proportion of missing items in resuscitation documentation was calculated for the overall sample and for each institution.

Identification of factors associated with deficient documentation

Covariates associated with documentation, such as the professional role of the person documenting the resuscitation (attending physician, fellow, resident, nurse practitioner, physician’s assistant), time of delivery, location of delivery, and use of a note template were identified through univariate analysis and multivariate analysis. If a note was written first by one professional and then another provider added to it (for example if an attending physician wrote an addendum to a resident’s note), the documentation was attributed to the primary author of the note. The univariate analysis sought factors that were significantly associated with the number of items documented per record, and was followed by a multivariate analysis to derive estimates of strength of association adjusted for confounding. Specifically we used a multiple linear regression model with independent variables (covariates) entered into the model. Covariates in our final model included the institution, primary documenter, gestational age, birth weight, multiparity, and delivery method.

All statistics were calculated using STATA 13.1.

Results

The characteristics of the six participating institutions are depicted in Table 1. The number of beds per Neonatal Intensive Care Unit ranged from 30 to 70, the number of attending physicians ranged from 5 to 15, the total deliveries per year ranged from 644 to 3100, and VLBW deliveries per year ranged from 55 to 250. Most had pediatric residents and NICU fellows and all had advanced practice nurses (nurse practitioners).
Table 1

Characteristics of participating institutions

Institution

A

B

C

D

E

F

Number of NICUa Beds

30

40

70

38

47

49

Number of NICUa Attendings

5

15

14

6

12

10

Number of Deliveries per year

1100

644

7000

3100

3000

2500

Number of Very Low Birth Weight Deliveries per year

69

55

150

75

250

130

Stand Alone NICUa Resuscitation Room

Yes

Yes

No

No

Yes

No

In-House Attending Coverage

No

No

Yes

Yes

No

No

Pediatric Residency Program

Yes

Yes

Yes

No

Yes

Yes

Fellowship Program

Yes

Yes

Yes

No

Yes

Yes

Advance Practice Nurse Practitioners

Yes

Yes

Yes

Yes

Yes

Yes

Institutional Guidelines for Neonatal Resuscitation Documentation

No

Yes

No

Yes

Yes

No

Number of Records Reviewed

50

24

39

50

50

50

aNICU-Neonatal Intensive Care Unit

We reviewed 263 records from these six institutions. Although we aimed to review 50 records from each institution, 26 records were not available from one institution, and 11 records from another institution were excluded as they belonged to out-born infants. One institution was only able to contribute 24 records due to research personnel issues and a few records from other institutions were excluded due to not fully meeting inclusion criteria (out-born infants, for example). The characteristics of the infants whose charts were reviewed are depicted in Table 2.
Table 2

Characteristics of very low birth weight infants

Characteristics

Summary Measure (n = 263)

Demographics

 

 Mean Birth Weight (SD) in grams

1050 (315)

 Mean Gestational Age (SD) in weeks

28.4 (2.8)

 Singleton Gestation

69.2 %

 Twin Gestation

24.0 %

 Triplet Gestation1

5.3 %

 Vaginal Delivery

25.9 %

 Congenital Anomaly documented

7.2 %

 Born during day shift (8:01–20:00)

59.6 %

 Median 1 min Apgar (IQR)

6 (4, 7)

 Median 5 min Apgar (IQR)

8 (7, 9)

Respiratory Support

 

 Continuous Positive Airway Pressure documented

52.4 %

 Bag Mask Ventilation documented

58.6 %

 Intubation documented

53.2 %

 Surfactant administration documented

39.9 %

Cardiovascular Support

 

 Umbilical Line placement documented

20.2 %

 Chest Compressions documented

4.6 %

 Epinephrine administration documented

2.7 %

1One Pregnancy was documented as > triplet

The mean (SD) birth weight was 1050 (315) grams, the mean (SD) gestational age was 28.4 (2.8) weeks, 69 % were singleton, 74 % were delivered by Cesarean section, and 60 % were born during the day shift (8 am-8 pm). The median (IQR) Apgar scores at 1 and 5 min were 6 (4, 7) and 8 (7,9) respectively.

The mean (SD) number of items documented in a record was 13.2 (3.5). Figure 1 displays the number of items documented at each participating hospital as box and whisker plots.
Fig. 1

Documentation Assessment for Each Institution. Documentation Score = 1 point for mentioning the following items and 0 points if nothing mentioned; Review of OB history, Briefing done, Equipment check, Personnel Check, Apgar at 1 min, description of APGAR at 1 min, Apgar at 5 min, description of APGAR at 5 min, Delivery Room Temperature, Radiant Warmer, Drying of Baby, Exothermic Mattress, Plastic Wrap, Hat, Temperature Measured in Delivery Room, Pulse Oximetry, Supplemental Oxygen, Airway Clearance/Suctioning, Positioning of Airway, Stimulation, Continuous Positive Airway Pressure, Bag Mask Ventilation, Endotracheal Intubation, Heart Rate with Repeated Assessment and Monitoring, Chest Compressions, Umbilical Line Placement, Assessment Intervention Pattern, Family Presence During/After Resuscitation, Communication with Family During/Immediately Post Resuscitation. Total available points = 29

The percentages of records documenting each of the 29 Resuscitation Data Items for the overall sample are shown in Table 3. For example, only 98 % of all records documented the obstetric history, but only 1 % documented a pre-delivery briefing.
Table 3

Resuscitation Data Items with percentage of records that documented each specific item

Data Item

Percent of Records that Documented Specified Data Item

Preparation for Delivery

 

 Review of OB history

98 %

 Briefing Done

1 %

 Equipment Check

20 %

 Personnel Check

2 %

Apgars

 

 Apgar at 1 min

96 %

 Description of Apgar at 1 min

62 %

 Apgar at 5 min

96 %

 Description of Apgar at 5 min

62 %

Temperature Management

 

 Delivery Room Temperature

0 %

 Radiant Warmer

60 %

 Drying of Baby

48 %

 Exothermic Mattress

14 %

 Plastic Wrap

30 %

 Hat

1 %

 Temperature of Baby in Delivery Room

0 %

Pulse Oximetry and Respiratory Support

 

 Pulse Oximetry

59 %

 Supplemental Oxygen

77 %

 Airway Clearance/Suctioning

71 %

 Positioning of the Airway

3 %

 Stimulation

62 %

 Continuous Positive Airway Pressure

64 %

 Bag Mask Ventilation

68 %

 Endotracheal Intubation

65 %

Cardiac Support Provided

 

 Heart Rate with Repeated Assessment

51 %

 Chest Compression

5 %

 Umbilical Catheter Placement

30 %

Pattern of Assessment and Intervention Described

66 %

Family Involvement and Interactions

 

 Family Presence

40 %

 Communication with Family

64 %

Records which either mentioned the intervention or mentioned that it was not needed or not done, would be assessed as documented. If a record did not mention an intervention at all, then is was assessed as not documented

Multivariate Linear Regression Model of institutions, providers, and infants and number of items documented per record: In Table 4 we report both the crude regression coefficients for each individual variable with the number of items documented per record, as well as completely adjusted regression coefficients after adjusting for every variable in the table.
Table 4

Various characteristics crude and adjusted coefficients on documentation assessmenta

Characteristic

Crude Coefficient (95 % CI)

Adjusted Coefficient (95 % CI)b

Institutional Factors

  

Institution

  

 Institution A

4.6 (3.5, 5.6)c

4.4 (3.2, 5.6)c

 Institution B

6.1 (4.8, 7.4)c

6.1 (4.7, 7.6)c

 Institution C

6.5 (5.4, 7.7)c

6.0 (4.7, 7.3)c

 Institution D

3.1 (2.0, 4.1)

3.7 (2.2, 5.2)c

 Institution E

2.8 (1.7, 3.9)

2.4 (1.2, 3.6)c

 Institution F

1.0 (ref.)

1.0 (ref.)

Primary Documenter

  

 Attending

1.0 (ref.)

1.0 (ref.)

 Fellow

1.4 (−0.5, 3.4)

0.9 (−0.4, 2.3)

 Resident

1.9 (0.1, 3.7)c

1.9 (0.5, 3.2)c

 Nurse Practitioner

−1.1 (−4.8, 2.5)

0.6 (−0.6, 1.8)

 Other

3.8 (1.7, 6.0)c

1.4 (−0.4, 3.2)

Infant Factors

  

 Gestational Age

  

  < 28 weeks

0.6 (−0.2, 1.5)

0.7 (−0.3, 1.6)

  ≥ 28 weeks

1.0 (ref.)

1.0 (ref.)

Birth Weight

  

  < 1000 g

0.6 (−0.2, 1.5)

0.1 (−0.7, 1.0)

  ≥ 1000 g

1.0 (ref.)

1.0 (ref.)

Birth Time

  

 8 am-8 pm

1.0 (ref.)

1.0 (ref.)

 8 pm-8 am

0.2 (−0.6, 1.1)

0.2 (−0.5, 0.9)

Gestation

  

 Singleton

1.0 (ref.)

1.0 (ref.)

  ≥ Twin

−0.6 (−1.5, 0.3)

−0.6 (−1.3, 0.2)

Delivery

  

 Vaginal

1.0 (ref.)

1.0 (ref.)

 Caesarian Section

−0.4 (−1.3, 0.6)

−0.4 (−1.2, 0.4)

aDocumentation Assessment = see Table 3 for all 29 data elements. Points range from 0–29

bAdjusted for all variables in table

cStatistically significant characteristics

In our completely adjusted model, only the institution and having a resident document the resuscitation were significantly associated with the number of items documented per record. For example in our completely adjusted model, the number of items documented per record in institution A was greater by 4.56 (95 % CI 3.46, 5.64) than at the reference institution F. In our adjusted model, documentation by a resident was associated with 1.87 (95 % CI 0.52, 3.24) more items documented per record. Removing the institutions that were only able to contribute 24 and 39 records did not meaningfully affect our results. The infant characteristics including; birth weight, birth time, gestational age, presence of congenital anomaly, type of delivery, and multiparity were not significantly associated with the number of items documented per record. Other than having the neonatal resuscitation documented by a resident, the different level of training (attending or fellow) or discipline (nurse practitioner) of the primary documenter were also not significantly associated with the number of items documented per record. We reported our results using a fixed effects model. Analyzing our results with a random methods model did not meaningfully change our results.

Finally, we also analyzed a subset of Resuscitation Data Items, which included only those with <50 % missing documentation. In this analysis the multiple linear regression model did not change meaningfully - significant variation between institutions persisted.

Discussion

Our study found that the comprehensiveness of documentation of neonatal resuscitation and stabilization of VLBW infants varies significantly across institutions, and that many potentially important items indicative of the quality of the resuscitation were missing from the medical record. This is the first study to examine the comprehensiveness of neonatal resuscitation documentation among multiple institutions, and to identify associated factors. Our findings suggest that there is significant room for improvement in the documentation of neonatal resuscitation and a need for standardization.

We intended to merely describe the comprehensiveness of documentation in the medical record and not its accuracy. Therefore our findings should not be misinterpreted as estimates of the accuracy of resuscitation documentation or the actual appropriateness of the interventions provided. The use of video recordings of neonatal resuscitation has been used successfully at several institutions including ours (MB), and such video recordings would represent the gold standard of documentation and a potential benchmark against which to compare the written documentation [14, 15]. We plan to conduct such a study of documentation accuracy as a follow-up to this comprehensiveness study.

In our multiple linear regression model the number of items documented per record was related to the institution but not to infant characteristics. We attributed the significantly higher number of items documented per record by residents to the fact that their notes often had addenda by attending physicians, thereby increasing the comprehensiveness of documentation. Our analysis suggests the number of items documented per record is institutionally related, which is likely due to policies, use of note templates, and institutional culture around documentation. Therefore we speculate that interventions to educate and facilitate comprehensive documentation may be more effective if applied at an institutional level rather than targeted at individual clinicians.

The strengths of our study include data from a large number of babies from multiple institutions and use of a consecutive sample of VLBW infants at each institution, thereby minimizing selection bias. We also used clear definitions for data extraction and used a comprehensive list of Resuscitation Documentation Items that was developed by experienced neonatologists. Our methods do not imply that all 29 items are essential for inclusion in every resuscitation documentation. This comprehensive list was developed as an initial set of items that could eventually evolve, with expert input and further research, into a short, practical list of core data items for resuscitation. Some of the 29 items could potentially be excluded completely from such a core data set if they are considered to be of trivial importance. Others could be included conditionally – for example, documentation about whether or not chest compressions were performed is unnecessary in a vigorous infant with a strong cry and could be restricted to infants requiring more than the initial steps of resuscitation. Such a core list could then be incorporated into an electronic medical record template (with branching logic guiding the documentation of conditional items such as chest compressions), thereby facilitating quick and essential documentation, and more importantly, quick retrieval of accurate data through field-defined electronic queries. This would make it easy for institutions to generate quality metrics for assessment of how well resuscitation was performed and allow institutional benchmarking.

Our findings should be interpreted in light of certain study limitations. Some of the Resuscitation Data Items may have been documented in parts of the medical record that we did not review (such as the nursing and respiratory flow sheets or maternal records). In addition, unavailable records were excluded and may have biased our results. We restricted our review of the medical record solely to physician and nurse practitioner documentation in the first two days, as we felt that ideally all relevant documentation about resuscitation should be present in one location in the medical record of the infant. We restricted our study to VLBW infants and therefore our findings do not apply to bigger babies. We did not attempt to assign weights to, or rank the 29 Resuscitation Data Items, as we wished to avoid the subjectivity involved in such ranking – we merely attempted to objectively report the presence or absence of these items. Such ranking of these items represents a potential topic of future research.

Despite these limitations, our results should raise awareness about the variation in current neonatal resuscitation documentation across institutions, and should stimulate efforts to generate a core set of essential data items for resuscitation documentation. Ideally, an authoritative body such as the Neonatal Resuscitation Program of the American Academy of Pediatrics or ILCOR should create such a list of core items that will serve as an international standard for neonates, similar to the Utstein guidelines [16] used in adult and pediatric patients.

Conclusion

Neonatal resuscitation documentation varies significantly amongst different institutions and this variation is attributable to institutional factors. Further institutional efforts at standardizing neonatal resuscitation documentation may further inform neonatal resuscitation research. Our findings could influence national authoritative bodies such as the Neonatal Resuscitation Program to develop a pragmatic, core data set of items for neonatal resuscitation documentation.

Abbreviations

ILCOR: 

International Liaison Committee on Resuscitation

NICU: 

neonatology intensive care unit

NRP: 

neonatal resuscitation program

VLBW: 

very low birth weight

Declarations

Acknowledgements

We would like to thank Brenda Sirovich MD, MS and Tracy Onega PhD, MA, MS for their guidance.

The only funding for this research was for statistical support that was provided by the Dartmouth Clinical and Translational Science Institute, under award number UL1TR001086 from the National Center for Advancing Translational Sciences (NCATS) of the National Institutes of Health (NIH).

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.

Authors’ Affiliations

(1)
Geisel School of Medicine at Dartmouth, The Dartmouth Institute for Health Policy and Clinical Practice, Children’s Hospital at Dartmouth
(2)
Kapi’olani Medical Center for Women and Children, Neonatology
(3)
Wellspan Health, York Hospital, Neonatology
(4)
University of Minnesota Masonic Children’s Hospital, Neonatology
(5)
McMaster University, McMaster Children’s Hospital, Neonatology
(6)
University of Connecticut Health Center, Connecticut Children’s Medical Center, Neonatology
(7)
Texas Children’s Hospital, Baylor College of Medicine, Neonatology

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Copyright

© Braga et al. 2015

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