Skip to main content

Multidimensional assessment of infant, parent and staff outcomes during a family centered care enhancement project in a tertiary neonatal intensive care unit: study protocol of a longitudinal cohort study

Abstract

Background

The therapeutic advances and progress in the care for preterm infants have enabled the regular survival of very immature infants. However, the high burden of lifelong sequelae following premature delivery constitutes an ongoing challenge. Regardless of premature delivery, parental mental health and a healthy parent–child relationship were identified as essential prerogatives for normal infant development. Family centered care (FCC) supports preterm infants and their families by respecting the particular developmental, social and emotional needs in the Neonatal Intensive Care Unit. Due to the large variations in concepts and goals of different FCC initiatives, scientific data on the benefits of FCC for the infant and family outcome are sparse and its effects on the clinical team need to be elaborated.

Methods

This prospective single centre longitudinal cohort study enrols preterm infants ≤ 32 + 0 weeks of gestation and/or birthweight ≤ 1500 g and their parents at the neonatal department of the Giessen University Hospital, Giessen, Germany. Following a baseline period, the rollout of additional FCC elements is executed following a stepwise 6-months approach that covers the NICU environment, staff training, parental education and psychosocial support for parents. Recruitment is scheduled over a 5.5. year period from October 2020 to March 2026. The primary outcome is corrected gestational age at discharge. Secondary infant outcomes include neonatal morbidities, growth, and psychomotor development up to 24 months. Parental outcome measures are directed towards parental skills and satisfaction, parent-infant-interaction and mental health. Staff issues are elaborated with particular focus on the item workplace satisfaction. Quality improvement steps are monitored using the Plan- Do- Study- Act cycle method and outcome measures cover the infant, the parents and the medical team. The parallel data collection enables to study the interrelation between these three important areas of research. Sample size calculation was based on the primary outcome.

Discussion

It is scientifically impossible to allocate improvements in outcome measures to individual enhancement steps of FCC that constitutes a continuous change in NICU culture and attitudes covering diverse areas of change. Therefore, our trial is designed to allocate childhood, parental and staff outcome measures during the stepwise changes introduced by a FCC intervention program.

Trial registration

Clinicaltrials.gov, trial registration number NCT05286983, date of registration 03/18/2022, retrospectively registered, http://clinicaltrials.gov.

Peer Review reports

Background

Family centred care (FCC) acknowledges that emotional, social and developmental support are integral components of health care. The respect for the infants’ and the families’ innate strengths are at the core of FCC as well as supporting families in their caregiving and decision-making roles [1]. In 1993 Helen Harrison introduced the principles of FCC in the Neonatal Intensive Care Unit (NICU) [2]. Since that time various FCC initiatives have been implemented, although inconsistently, in NICUs all over the world [3,4,5].

FCC is more of a concept that needs to be integrated into the culture of the NICU and the attitude of each individual than a set of tasks to be accomplished [6, 7] At the core of FCC is providing healthcare in the context of the strengths and needs of the patients, their family and the community. The goal is to improve quality, psychological wellbeing, clinical outcomes and the overall patient and family experience [6].

Technical and medical advances greatly improved the outcome of preterm infants, especially for the most immature, [8] but NICUs are highly professionalized and often stressful environments for preterm infants and their parents [9]. In spite of these advances neonatal morbidities (e.g. bronchopulmonary dysplasia, retinopathy of prematurity, severe brain injury) continue to affect premature infants and they still have more neurobehavioral problems and a poorer neurodevelopmental outcome than their term counterparts [10, 11]. The stressful NICU environment and the stressful experience of the parents might further aggravate these undesirable outcomes. FCC has been introduced into the care of preterm infants to reduce stress for the infant and the whole family.

FCC interventions and outcomes vary significantly across different studies [12]. Parents were involved in the care to different degrees, ranging from interventions to support parents, interventions that are delivered by parents to concepts that focus on partnering with parents as equal counterparts in the care of their infant [6]. In a recent review FCC interventions improved weight gain, readmission rates and parental satisfaction, however, length of stay and neonatal morbidities were not improved [12]. Family integrated care (FiCare) has been developed in Canada and is currently the FCC programme that has been tested in the largest group of preterm infants with improved infant weight gain and motor development and reduced parental anxiety [12,13,14]. FiCare is built on four pillars: Parent education, staff education, NICU environment and psychosocial support: [13].

The present study will focus on interventions following the 4 pillar concept.

The primary outcome of the study is length of hospital stay measured by corrected gestational age at discharge. We hypothesize that empowerment of parents and their increasingly active involvement in infant care will reduce length of hospital stay, as parents will be ready to take their infant home earlier [15].

Quality improvement (QI) methods have become a central part of neonatology within the last years. One widely used approach is the Model for Improvement and the PDSA (Plan- Do- Study- Act) cycle (Model for Improvement, Fig. 1) [16].

Fig. 1
figure 1

Model for improvement

The Model of Improvement asks three questions: What are we trying to accomplish? (aim) How will we know that a change is an improvement? (measurement) What change can we make that will result in improvement? (wise guess) [16].

The PDSA cycle is a continuous circuit of sequential cycles with the complexity and size of cycles increasing with every cycle [17]. The cycle starts with a change concept (Plan), the next step is the implementation of the new intervention (Do), followed by qualitative and quantitative monitoring and data collection (Study) and the final step of integrating the learning generated which will then lead to acceptance, rejection or adaptation of the intervention (Act), [16] followed by the next PDSA cycle (PDSA cycles, Fig. 2).

Fig. 2
figure 2

PDSA cycles

Although widely used in healthcare two reviews of 2014 and 2019 have shown that the five key principles of the PDSA cycle are applied inconsistently with only 3% and 4% of the reviewed studies applying all of the following key principles: sufficient documentation of PDSA cycles, iterative cycles, small-scale-testing, continuous data collection and theoretical rationale [17, 18]. Consistent improvements require iterative adaptation to the local context therefore greater scientific rigour is needed in the application and reporting of these methods [18].

Despite the challenges in its most effective application, PDSA cycles have been used successfully [19,20,21]. The strength of the PDSA cycle is the iterative approach to test and assess an intervention rapidly and make necessary changes timely [18]. The present study will use the Model for Improvement and the PDSA cycle to improve FCC in our level III NICU.

An urgent need is seen to standardize FCC interventions and core outcome measures to enable future comparison of the efficiency of FCC interventions and thus to improve the evidence base [12]. These outcome measures need to involve the infant, the parents and the medical team, as all are closely linked and interdependent.

Therefore, a comprehensive standardized assessment tool assessing the advances of parent, infant and staff outcome in the context of the degree of FCC implementation was developed. The aim of the present study is to test this new assessment tool in a prospective single centre longitudinal cohort study.

Methods/design

The study design is a prospective single centre longitudinal cohort study as the enhancement of FCC primarily is a change in unit culture and the attitudes of individuals [7].

Inclusion and exclusion criteria

Inclusion criteria for infants

Inborn and outborn preterm infants of ≤ 32 + 0 weeks of gestational age (GA) and/or birthweight ≤ 1500 g will be included in the study after legal guardian written informed consent.

Exclusion criteria for infants

Exclusion criteria are severe congenital anomalies (e.g. cyanotic heart disease, severe lung hypoplasia, congenital diaphragmatic hernia), decision not to provide full life support, decision for palliative care before study entry, or parents with severe psychiatric disease.

While the intervention includes all infants admitted to the neonatal unit, only those infants meeting inclusion criteria and not meeting exclusion criteria are eligible for the study.

Inclusion and exclusion criteria for staff

Inclusion criteria for medical staff is being a registered member of the medical team (doctor, nurse) at the neonatology department of the University Hospital Giessen, Giessen, Germany. Exclusion criteria are decline of informed consent.

The baseline cohort will consist of 45 preterm infants and their parents. Subsequent cohorts will consist of all included infants who will be recruited consecutively over 6-month-periods together with their parents. The expected number of eligible patients is 90 patients/year based on average admission during the last 5 years (2016–2020).

Process of informed consent

All parents who’s preterm infant are meeting the inclusion criteria will be approached. Legal guardians will be asked for informed consent by good clinical practice (GCP) qualified staff members.

The study was designed in accordance with the declaration of Helsinki and approved by the Ethics Committee of Justus Liebig University, Giessen, AZ 153/20. The protocol has been registered at clinicaltrials.gov (No NCT05286983).

Setting

The neonatal department of the University Hospital Giessen is a tertiary care 10 beds NICU together with a 27 beds step-down unit on the same floor. The step-down unit includes 8 rooming-in beds designed as double rooms with an accompanying bathroom (2 mother or father-infant- dyads per room).

First step towards establishment of FCC

In 2017/2018 the Family Infant Neurodevelopmental Education (FINE) program was introduced as a first step to enhance FCC in the unit. The FINE programme is designed to provide a theoretical framework and practical skills to neonatal professionals based on three principles: neuroprotection, relationship and individualized care [22, 23].

Forming the focus group

A multidisciplinary focus group including staff nurses and physicians with a special interest in FCC will be established to guide the whole project of enhancing FCC in the NICU, as a next step a member of the psychosocial support team will be included in the focus group. Including parents in FCC focus groups has been suggested to be beneficial [24] and is one of the future goals.

The focus group will meet regularly and will decide on FCC interventions as potentially better practices (PBPs). The PBPs will cover the four pillars introduced by FiCare: parent education, staff training, NICU environment and psychosocial support [13]. The team will then disseminate the changes into the greater team through workshops, hands-on teaching, displays, etc. Potential PBPs for our department enclose: Implementation of a parent education program, parent participation on rounds, parent presence during handover, parent skill self-assessment, systematic parent-to-parent support, implementation of a parent advisory board, participation of parents in the focus group, implementation of the CO- PARTNER tool to enhance and measure parent participation and collaboration with the medical team, [25] implementation of regular staff education, improvement of psychosocial support, improvement of neonatal unit surroundings to promote parent-infant-closeness.

QI Method for Implementation

The Model for Improvement and the PDSA (Plan- Do- Study- Act) cycle will be used as QI Method to improve FCC in our level III NICU as it allows rapid tests of change and improvement of outcomes [16].

Every 6-months period 1–3 new PBPs will be introduced by the FCC team and evaluated using 2–3 repetitive PDSA cycles. Although PDSA cycle time intervals of 4 weeks or shorter have been recommended to track change in a “live system”, slightly longer time intervals were chosen as the implementation of change in a NICU setting with working in shifts slows down dissemination of change [18].

Degree of FCC

Two different tools will be used to assess the extent of FCC implementation. The first tool asses the implementation of FCC on an organizational level and was designed by the Institute for Family Centred Care: The Self-assessment inventory of family centred newborn care [26], it was shortened and translated into German language following the guidelines for translation and cultural adaptation to assess FCC in general [27].

The second tool has been published by the FINE group [28] and focuses on the operational implementation of FCC on a daily basis.

Infant outcomes

The primary outcome of the present study is the length of hospital stay measured by corrected gestational age (cGA) at discharge.

The secondary outcomes are presented in Table 1.

Table 1 Secondary outcomes

Parental outcomes

Parental mental health

Depression and anxiety scores of mothers and fathers will be evaluated using standardized questionnaires within the first 10 days after birth, after 4 weeks, at discharge, at 3, 12 and 24 months (corrected age of the preterm infant [32]. Depression and Anxiety score is evaluated with the German version of the Hospital and Anxiety and Depression Scale (HADS-D). The HADS-D is a validated self-report questionnaire divided into 2 sub-scales (anxiety and depression HADS sub-scales) designed to measure recent depression and anxiety symptoms and has been used for evaluation of NICU parents with a cut-off score of 8 or above for both subscales indicating clinically significant anxious or depressive symptomatology [33, 34].

For evaluation of parenting stress, the Parenting Stress Index (PSI), German Version (Eltern-Belastungs-Inventar, EBI) will be used at 3, 12 and 24 months (corrected age). The PSI has been used to evaluate parenting stress in mothers of very preterm infants up to the age of 24 months corrected age [35, 36].

Parental satisfaction with care and parental skills

For the evaluation of parental satisfaction with care, a questionnaire has been designed covering relevant areas such as NICU surroundings, visiting hours, medical care, or communication.

Parental skills will be parent self-assessed with a newly developed questionnaire focussing on discharge readiness and competence at home. Parental satisfaction with care and parental competences are important components of FCC.

Parent-infant-interaction

Charts and tables at the bedside will be used to assess the degree of parental involvement in the care of the infant (e.g. feeding, bathing, etc.) during the hospital stay and to be able to analyse whether parental involvement increased during the intervention.

Parents being the primary caregiver of their infant are at the core of FCC [6]. This includes being actively involved in the nursing care from admission onward, being involved in decision making and being able to visit the infant unrestrictedly.

Parental visiting hours

Visit duration and time spent kangarooing will be recorded separately for mothers and fathers.

Staff outcome

Satisfaction of the medical team with the work environment will be evaluated using part of the German version of the Copenhagen Psychosocial Questionnaire (COPSOQ). The COPSOQ is a valid and reliable tool for workplace satisfaction surveys [37]. Workplace satisfaction will be evaluated every 6 months.

Timeline

The current status (baseline data) will be assessed in a baseline cohort of 45 preterm infants and their parents, as this is the average number of patient admissions per 6 months fulfilling the inclusion but not meeting the exclusion criteria during the last 5 years. The following cohorts will consist of all included infants who are recruited consecutively within 6-month-periods and their parents. The duration of the study will be 5.5 years with the first interim analysis after 2 years of start of the first intervention phase. A study period of 5.5 years for recruitment was chosen because shorter time periods have been associated with lacking results [7].

Statistical assessment

Trend analyses and process- control charts (Sample Process Control Chart, Fig. 3) will be used for outcome assessment as used previously in quality-improvement studies [38].

Fig. 3
figure 3

Process control chart

Process control charts will be used to describe, visualize, detect and understand changes in processes of care and outcomes [39]. Crude rates or medians will be plotted using 6-month periods to provide sufficient time points for process control chart analysis while maintaining more than 40 observations for subgroups [39]. For each graph, upper and lower control limits will be determined using standard statistical process-control parameters (± 3 standard deviations) using 6 months baseline data. We aimed to have 21 data points. Special-cause variation in outcomes will be defined as (significant changes that are not part of random variation) as any data point beyond the control limits, or 6 sequential points on 1 side of the mean, in either direction [38].

Second, linear trends for changes in FCC care practices, patient characteristics, and outcomes will be analyzed using F or Wald χ2 tests from linear or logistic regression models with 6 months periods used as continuous variable. Models will be adjusted using a generalized estimating equation approach (to account for clustering) with symmetric covariance structure, for the common variables known to be associated with the outcomes: e.g. gestational age in weeks (as a categorical variable), sex, demographics, multiple births, small for gestational age, outborn status, Score for Neonatal Acute Physiology version II (SNAP II) greater than 20, antenatal steroids, and change in major medical interventions. Change in major medical interventions was included because there may be future changes such as general stem cell transplantation or artificial placenta, which may have a tremendous effect on the long term outcome.

Data management and statistical analyses will be done using MicrosoftR EXCEL and R version 3.2.2 A 2-sided p value of less than 0.05 will be regarded as statistically significant. Data imputation will be done by study nurses and students and cross checked by the GCP qualified investigators. Source data will remain within the study site.

Sample size calculation

Primary outcome: corrected GA at discharge

A sample size of approximately 110 parent/child dyads is required to achieve a power of 95% in a single factor analysis of variance with cGA as dependent variable and implementation status of Fine + criteria as independent variable with a global significance level of 5% when comparing 11 implementation levels/time points to prove a reduction in cGA at discharge of two weeks. The expected number of at least 300 enrolled infants (very conservative estimation) will be sufficient to prove the targeted reduction in cGA and to compensate for unknown parental study compliance and unexpected drop-outs.

Background

In our department in 2018–19 in VLBW infants the mean GA was 29.0 ± 2.9 weeks. The mean cGA at discharge was 38.9 ± 4.0 weeks. Five infants were discharged beyond 45 weeks of cGA due to severe clinical complications. These infants were excluded from sample size estimation. In the remaining VLBW infants the mean GA at birth was 29.2 ± 2.8 weeks and the mean cGA at discharge was 38.3 ± 2.1 wks. In the subgroup of infants of 27 to 31 + 6/7 weeks the mean GA was 29.3 ± 1.3 weeks and mean the cGA age at discharge was 37.8 ± 1.6 weeks. In a recent paper, the cGA at discharge was 34.7 weeks in 52 infants 27–31 weeks of gestation [15]. Therefore, reduction in mean cGA at discharge by two weeks (estimated effect size 0.5–1.1) is a realistic and achievable target.

Discussion

The current project aims to enhance FCC in a level III NICU in Gießen, Germany. The FINE (Family Infant Neurodevelopmental Education) education in FCC has been introduced as baseline but FCC depends on repetitive evaluation, propagation of its aims and stepwise implementation of further focus fields. The study continuously assesses whether the implemented changes to advance FCC improve FCC indicators and multidimensional outcomes. Infant, parents and staff outcomes are evaluated separately and interactions between these three dimensions will be analyzed as well. To our best knowledge, this is the first study systematically assessing the further enhancement of FCC in such a comprehensive way. A particular strength is that all data will be recorded separately for mothers and fathers. Although fathers have become more involved in the care of their preterm children only few studies have focused on the visiting patterns, involvement and well-being of fathers [40,41,42,43]. This study will provide further insight and can help to better support fathers of preterm infants.

Data on measurable indicators showing an increase of parental participation in the care of their preterm infant as a result of FCC interventions is scarce [43]. The standardized assessment tool and the CO-PARTNER tool will thoroughly document parental participation in several areas (kangarooing, visit time, different caregiving activities like bottle feed/breastfeeding, diaper change…) through charts at the bedside to be able to assess whether FCC interventions have an impact on parental skills.

Several professional societies endorse FCC by policy statements [1]. Although these policy statements exist, the practical implementation is varying across different countries, but also within countries [4, 5]. Disseminating innovations in health care is challenging with a considerable gap between knowledge and practice. To make change happen it is not enough that evidence for an intervention is available. The more difficult part is to translate evidence into local clinical practice [44]. To facilitate positive change management, a multidisciplinary team including nurses and physicians was implemented in the first stage with the aim to complement the team with parents of former preterm infants. This team consists of staff members with a special interest or expertise in FCC and will lead the process of innovation adjusted to the local neonatology department [45]. A multidisciplinary focus group was chosen to guide the implementation as successful dissemination of innovations in health care that is best achieved if a clinical guideline or recommendation is not merely repeated, but reinvented by the team and adjusted to the local context [19, 44]. The EPICE (Effective Perinatal Intensive Care in Europe) study group has identified the following three crucial factors for making change in the NICU happen: Innovation ideas that come from the NICU team itself and not from outside, active participation of the unit staff in the development and implementation of the innovation or policy change and the presence of staff members with personal interest in making the change happen [45].

FCC has been described as a journey with different neonatal units at different stages [46]. We have started on this journey four years ago and want to move further along the way.

QI efforts in healthcare have demonstrated variable results, some reporting positive changes in patient outcomes, others reporting no changes [20, 47, 48]. One possible reason for this variability is that e.g. the PDSA cycle has not been implemented rigorously in many studies [17, 18]. If implemented well, the PDSA cycle has the potential to lead to sustained improvement in healthcare and enable stepwise assessments and timely intervention [20]. Therefore, it is reasonable to not discard the method as such, but diligently apply the method. We will thoroughly consider the five key elements of the PDSA cycle identified as crucial by Taylor and Knudsen [17, 18]. The reporting will be done according to the SQUIRE 2.0 publication guidelines to ensure completeness, precision and transparency [49].

Changing the culture of a unit and the attitudes of individuals is challenging [7] and it is a very sensitive process. Acknowledging this Quality Improvement (QI) project as such a sensitive process we will evaluate staff satisfaction regularly. The implementation of changes often leads to an initial decline in staff satisfaction, followed by a recovery [50]. The scheduled 6 monthly assessment of staff satisfaction will enable us to realize early whether after an expected initial decline staff satisfaction recovers again.

This study will provide important insight into the application of a QI method to advance FCC in a NICU regarding the success of the QI method in achieving a higher degree of FCC and regarding team satisfaction during this change process.

Moreover statistical process control methods will be used as a novel approach to prospectively analyse the data over time and to understand and address the performance of the QI project [39]. This technique enables clinicians to detect process changes and trends earlier with the help of graphical display [51]. This approach has been suggested as a beneficial tool in neonatology [39, 47, 52]. The Canadian Neonatal Network recently published the results of a quality improvement initiative after a period of 14 years of experience using this technique [38]. Naturally, clinical data has some variation over time that is independent of interventions. Process control charts help to distinguish between natural variation and variation due to specific interventions.

The COVID pandemic starting at the beginning of our study was a big challenge as access to hospitals was greatly restricted in Germany also for the parents of NICU patients. Our results might give further insight into the consequences of these restrictions for the infant, parents and staff.

There are as well limitations to our study. The study is a single centre study undertaken in one neonatology department in Germany. The context of the particular neonatology department involved and its patient demographics including the socioeconomic and cultural background will influence the results. Due to the single center design the number of patients is restricted and a recruitment period of 5.5 years is needed. Changes of e.g. nurse-patient ratios on the basis of modifications of the obligatory national guideline of the Joint National Committee of Germany or towards the provision of active support according to the national AWMF guideline recommendations for the care of preterm infants at the border of viability will have an impact on the study results. Possible demographic changes over the study duration will also affect results. Nevertheless, our study pioneers the comprehensive evaluation of infant, parental and staff outcomes and when implemented successfully, the studied comprehensive assessment tool can be used to monitor and guide FCC interventions within a local or multicentre context in any other NICU.

Availability of data and materials

Not applicable.

Abbreviations

FCC:

Family Centered Care

NICU:

Neonatal Intensive Care Unit

PDSA:

Plan- Do- Study- Act

FiCare:

Family Integrated Care

NIDCAP:

Newborn Individualized Developmental Care and Assessment Program

GA:

Gestational Age

GCP:

Good Clinical Practice

FINE:

Family Infant Neurodevelopmental Education

PBP:

Potentially Better Practices

DOL:

Day of Life

CPAP:

Continuous Positive Airway Pressure

HFNC:

Highflow Nasal Cannula

NES:

Neuropsychologische Entwicklungsscreening

GMFCS:

Gross Motor Function Classification System

HADS-D:

Hospital and Anxiety and Depression

PSI:

Parenting Stress Index

EBI:

Eltern-Belastungs-Inventar, EBI

COPSOQ:

Copenhagen Psychosocial Questionnaire

cGA:

Corrected gestational age

EPICE:

Effective Perinatal intensive Care in Europe

QI:

Quality Improvement

FINE:

Family Infant Neurodevelopmental Education

NEC:

Necrotizing enterocolitis

ROP:

Retinopathy of prematurity

References

  1. Committee On Hospital C, Institute For P, Family-Centered C. Patient- and family-centered care and the pediatrician's role. Pediatrics. 2012;129(2):394–404.

  2. Harrison H. The principles for family-centered neonatal care. Pediatrics. 1993;92(5):643–50.

    Article  CAS  PubMed  Google Scholar 

  3. Gooding JS, Cooper LG, Blaine AI, Franck LS, Howse JL, Berns SD. Family support and family-centered care in the neonatal intensive care unit: origins, advances, impact. Semin Perinatol. 2011;35(1):20–8.

    Article  PubMed  Google Scholar 

  4. Aija A, Toome L, Axelin A, Raiskila S, Lehtonen L. Parents’ presence and participation in medical rounds in 11 European neonatal units. Early Hum Dev. 2019;130:10–6.

    Article  PubMed  Google Scholar 

  5. Raiskila S, Axelin A, Toome L, Caballero S, Tandberg BS, Montirosso R, et al. Parents’ presence and parent-infant closeness in 11 neonatal intensive care units in six European countries vary between and within the countries. Acta Paediatr. 2017;106(6):878–88.

    Article  PubMed  PubMed Central  Google Scholar 

  6. Franck LS, O’Brien K. The evolution of family-centered care: From supporting parent-delivered interventions to a model of family integrated care. Birth Defects Res. 2019;111(15):1044–59.

    Article  CAS  PubMed  Google Scholar 

  7. Saunders RP, Abraham MR, Crosby MJ, Thomas K, Edwards WH. Evaluation and development of potentially better practices for improving family-centered care in neonatal intensive care units. Pediatrics. 2003;111(4 Pt 2):e437–49.

    Article  PubMed  Google Scholar 

  8. Humberg A, Hartel C, Rausch TK, Stichtenoth G, Jung P, Wieg C, et al. Active perinatal care of preterm infants in the German Neonatal Network. Arch Dis Child Fetal Neonatal Ed. 2020;105(2):190–5.

    Article  PubMed  Google Scholar 

  9. Govindaswamy P, Laing S, Waters D, Walker K, Spence K, Badawi N. Stressors of parents of infants undergoing neonatal surgery for major non-cardiac congenital anomalies in a surgical neonatal intensive care unit. J Paediatr Child Health. 2020;56(4):512–20.

    Article  PubMed  Google Scholar 

  10. Serenius F, Ewald U, Farooqi A, Fellman V, Hafstrom M, Hellgren K, et al. Neurodevelopmental Outcomes Among Extremely Preterm Infants 6.5 Years After Active Perinatal Care in Sweden. JAMA Pediatr. 2016;170(10):954–63.

  11. Franz AP, Bolat GU, Bolat H, Matijasevich A, Santos IS, Silveira RC, Procianoy RS, Rohde LA, Moreira-Maia CR. Attention-deficit/hyperactivity disorder and very preterm/very low birth weight: a meta-analysis. Pediatrics. 2018;141(1):e20171645. https://doi.org/10.1542/peds.2017-1645.

  12. Ding X, Zhu L, Zhang R, Wang L, Wang TT, Latour JM. Effects of family-centred care interventions on preterm infants and parents in neonatal intensive care units: A systematic review and meta-analysis of randomised controlled trials. Aust Crit Care. 2019;32(1):63–75.

    Article  PubMed  Google Scholar 

  13. O’Brien K, Robson K, Bracht M, Cruz M, Lui K, Alvaro R, et al. Effectiveness of Family Integrated Care in neonatal intensive care units on infant and parent outcomes: a multicentre, multinational, cluster-randomised controlled trial. Lancet Child Adolesc Health. 2018;2(4):245–54.

    Article  PubMed  Google Scholar 

  14. Synnes AR, Petrie J, Grunau RE, Church P, Kelly E, Moddemann D, et al. Family integrated care: very preterm neurodevelopmental outcomes at 18 months. Arch Dis Child Fetal Neonatal Ed. 2022;107(1):76–81.

    Article  PubMed  Google Scholar 

  15. Schuler R, Ehrhardt H, Mihatsch WA. Safety and Parental Satisfaction With Early Discharge of Preterm Infants on Nasogastric Tube Feeding and Outpatient Clinic Follow-Up. Front Pediatr. 2020;8:505.

    Article  PubMed  PubMed Central  Google Scholar 

  16. Picarillo AP. Introduction to quality improvement tools for the clinician. J Perinatol. 2018;38(7):929–35.

    Article  PubMed  Google Scholar 

  17. Knudsen SV, Laursen HVB, Johnsen SP, Bartels PD, Ehlers LH, Mainz J. Can quality improvement improve the quality of care? A systematic review of reported effects and methodological rigor in plan-do-study-act projects. BMC Health Serv Res. 2019;19(1):683.

    Article  PubMed  PubMed Central  Google Scholar 

  18. Taylor MJ, McNicholas C, Nicolay C, Darzi A, Bell D, Reed JE. Systematic review of the application of the plan-do-study-act method to improve quality in healthcare. BMJ Qual Saf. 2014;23(4):290–8.

    Article  PubMed  Google Scholar 

  19. Lee SK, Aziz K, Singhal N, Cronin CM. The Evidence-based Practice for Improving Quality method has greater impact on improvement of outcomes than dissemination of practice change guidelines and quality improvement training in neonatal intensive care units. Paediatr Child Health. 2015;20(1):e1-9.

    Article  PubMed  PubMed Central  Google Scholar 

  20. Coury J, Schneider JL, Rivelli JS, Petrik AF, Seibel E, D’Agostini B, et al. Applying the Plan-Do-Study-Act (PDSA) approach to a large pragmatic study involving safety net clinics. BMC Health Serv Res. 2017;17(1):411.

    Article  PubMed  PubMed Central  Google Scholar 

  21. Ellsbury DL, Clark RH. Does quality improvement work in neonatology improve clinical outcomes? Curr Opin Pediatr. 2017;29(2):129–34.

    Article  PubMed  Google Scholar 

  22. Warren I, Ezam M, Green M, Nyathi D. Evaluation of the Family and Infant Neurodevelopmental Education (FINE) programme in the UK. J Neonatal Nurs. 2019;25:93–8.

    Article  Google Scholar 

  23. Warren I. Family and Infant Neurodevelopmental Education: an innovative, educational pathway for neonatal healthcare professionals. Infant 2017;2017(13(5)):200–03.

  24. Dunn MS, Reilly MC, Johnston AM, Hoopes RD Jr, Abraham MR. Development and dissemination of potentially better practices for the provision of family-centered care in neonatology: the family-centered care map. Pediatrics. 2006;118(Suppl 2):S95-107.

    Article  PubMed  Google Scholar 

  25. van Veenendaal NR, Auxier JN, van der Schoor SRD, Franck LS, Stelwagen MA, de Groof F, et al. Development and psychometric evaluation of the CO-PARTNER tool for collaboration and parent participation in neonatal care. PLoS ONE. 2021;16(6): e0252074.

    Article  PubMed  PubMed Central  Google Scholar 

  26. Family Centered care in newborn Intensive Care units: a Self- Assessment Inventory. Bethesda: Institute for Family Centered Care; 1997.

  27. Wild D, Grove A, Martin M, Eremenco S, McElroy S, Verjee-Lorenz A, et al. Principles of Good Practice for the Translation and Cultural Adaptation Process for Patient-Reported Outcomes (PRO) Measures: report of the ISPOR Task Force for Translation and Cultural Adaptation. Value Health. 2005;8(2):94–104.

    Article  PubMed  Google Scholar 

  28. Warren I, Oude Reimer M, van der Heijden E, Conneman N. FINE 2 Praktische Fertigkeiten für Familienzentrierte Entwicklungsfördernde Betreuung 2015.

  29. Walsh MC, Wilson-Costello D, Zadell A, Newman N, Fanaroff A. Safety, reliability, and validity of a physiologic definition of bronchopulmonary dysplasia. J Perinatol. 2003;23(6):451–6.

    Article  PubMed  Google Scholar 

  30. Papile LA, Burstein J, Burstein R, Koffler H. Incidence and evolution of subependymal and intraventricular hemorrhage: a study of infants with birth weights less than 1,500 gm. J Pediatr. 1978;92(4):529–34.

    Article  CAS  PubMed  Google Scholar 

  31. Bell MJ, Ternberg JL, Feigin RD, Keating JP, Marshall R, Barton L, et al. Neonatal necrotizing enterocolitis. Therapeutic decisions based upon clinical staging. Ann Surg. 1978;187(1):1–7.

  32. Garfield CF, Lee YS, Warner-Shifflett L, Christie R, Jackson KL, Miller E. Maternal and paternal depression symptoms during NICU stay and transition home. Pediatrics. 2021;148(2):e2020042747. https://doi.org/10.1542/peds.2020-042747.

  33. Petersen IB, Quinlivan JA. Fatherhood too soon. Anxiety, depression and quality of life in fathers of preterm and term babies: a longitudinal study. J Psychosom Obstet Gynaecol. 2021;42(2):162–7. https://doi.org/10.1080/0167482X.2020.1808620.

  34. Petit AC, Eutrope J, Thierry A, Bednarek N, Aupetit L, Saad S, et al. Mother’s Emotional and Posttraumatic Reactions after a Preterm Birth: The Mother-Infant Interaction Is at Stake 12 Months after Birth. PLoS ONE. 2016;11(3): e0151091.

    Article  PubMed  PubMed Central  Google Scholar 

  35. Gray PH, Edwards DM, Gibbons K. Parenting stress trajectories in mothers of very preterm infants to 2 years. Arch Dis Child Fetal Neonatal Ed. 2018;103(1):F43–8.

    Article  PubMed  Google Scholar 

  36. Gray PH, Edwards DM, O’Callaghan MJ, Cuskelly M. Parenting stress in mothers of preterm infants during early infancy. Early Hum Dev. 2012;88(1):45–9.

    Article  PubMed  Google Scholar 

  37. Kristensen TS, Hannerz H, Hogh A, Borg V. The Copenhagen Psychosocial Questionnaire–a tool for the assessment and improvement of the psychosocial work environment. Scand J Work Environ Health. 2005;31(6):438–49.

    Article  PubMed  Google Scholar 

  38. Lee SK, Beltempo M, McMillan DD, Seshia M, Singhal N, Dow K, et al. Outcomes and care practices for preterm infants born at less than 33 weeks’ gestation: a quality-improvement study. CMAJ. 2020;192(4):E81–91.

    Article  PubMed  PubMed Central  Google Scholar 

  39. Gupta M, Kaplan HC. Using Statistical Process Control to Drive Improvement in Neonatal Care: A Practical Introduction to Control Charts. Clin Perinatol. 2017;44(3):627–44.

    Article  PubMed  Google Scholar 

  40. Anderson PJ, Treyvaud K, Spittle AJ. Early developmental interventions for infants born very preterm - what works? Semin Fetal Neonatal Med. 2020;25(3): 101119.

    Article  PubMed  Google Scholar 

  41. Garten L, Maass E, Schmalisch G, Buhrer C. O father, where art thou? Parental NICU visiting patterns during the first 28 days of life of very low-birth-weight infants. J Perinat Neonatal Nurs. 2011;25(4):342–8.

    Article  PubMed  Google Scholar 

  42. Franck LS, Spencer C. Parent visiting and participation in infant caregiving activities in a neonatal unit. Birth. 2003;30(1):31–5.

    Article  PubMed  Google Scholar 

  43. van Veenendaal NR, van der Schoor SRD, Broekman BFP, de Groof F, van Laerhoven H, van den Heuvel MEN, et al. Association of a Family Integrated Care Model With Paternal Mental Health Outcomes During Neonatal Hospitalization. JAMA Netw Open. 2022;5(1): e2144720.

    Article  PubMed  PubMed Central  Google Scholar 

  44. Berwick DM. Disseminating innovations in health care. JAMA. 2003;289(15):1969–75.

    Article  PubMed  Google Scholar 

  45. Cuttini M, Forcella E, Rodrigues C, Draper ES, Martins AF, Laine A, et al. What drives change in neonatal intensive care units? A qualitative study with physicians and nurses in six European countries. Pediatr Res. 2020;88(2):257–64.

    Article  PubMed  PubMed Central  Google Scholar 

  46. Moore KA, Coker K, DuBuisson AB, Swett B, Edwards WH. Implementing potentially better practices for improving family-centered care in neonatal intensive care units: successes and challenges. Pediatrics. 2003;111(4 Pt 2):e450–60.

    Article  PubMed  Google Scholar 

  47. Gupta M, Pursley DM, Smith VC. Preparing for discharge from the neonatal intensive care unit. Pediatrics. 2019;143(6):e20182915. https://doi.org/10.1542/peds.2018-2915.

  48. Thor J, Herrlin B, Wittlov K, Ovretveit J, Brommels M. Evolution and outcomes of a quality improvement program. Int J Health Care Qual Assur. 2010;23(3):312–27.

    Article  PubMed  Google Scholar 

  49. Ogrinc G, Davies L, Goodman D, Batalden P, Davidoff F, Stevens D. SQUIRE 2.0 (Standards for QUality Improvement Reporting Excellence): revised publication guidelines from a detailed consensus process. BMJ Qual Saf. 2016;25(12):986–92.

  50. Kuokkanen L, Suominen T, Harkonen E, Kukkurainen ML, Doran D. Effects of organizational change on work-related empowerment, employee satisfaction, and motivation. Nurs Adm Q. 2009;33(2):116–24.

    Article  PubMed  Google Scholar 

  51. Benneyan JC, Lloyd RC, Plsek PE. Statistical process control as a tool for research and healthcare improvement. Qual Saf Health Care. 2003;12(6):458–64.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  52. Croop SEW, Thoyre SM, Aliaga S, McCaffrey MJ, Peter-Wohl S. The Golden Hour: a quality improvement initiative for extremely premature infants in the neonatal intensive care unit. J Perinatol. 2020;40(3):530–9.

    Article  PubMed  Google Scholar 

Download references

Acknowledgements

Not applicable.

Funding

Open Access funding enabled and organized by Projekt DEAL. The study has not been funded by sponsors.

Author information

Authors and Affiliations

Authors

Contributions

RS and WM contributed to the design of the study. WM and AW performed the sample size calculation and designed the statistical analysis. RS wrote the first draft of the manuscript. WM, HE and KZ critically reviewed and revised the manuscript. BB and LW contributed to revising the protocol critically with reference to parental questionnaires. MR, CE, JB, AJ, BK, JP and MW revised the manuscript with reference to assessment tools for parental participation. BN revised the manuscript with reference to neurological assessment. All authors contributed to the manuscript revision, read and approved the submitted version.

Corresponding author

Correspondence to Rahel Schuler.

Ethics declarations

Ethics approval and consent to participate

The study was designed in accordance with the declaration of Helsinki and approved by the Ethics Committee of Justus Liebig University, Giessen, AZ 153/20. Legal guardians will be asked for informed consent by good clinical practice (GCP) qualified staff members.

Consent for publication

Not applicable.

Competing interests

The authors declare that they have no competing interests.

Additional information

Publisher’s Note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

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

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Schuler, R., Woitschitzky, L., Eiben, C. et al. Multidimensional assessment of infant, parent and staff outcomes during a family centered care enhancement project in a tertiary neonatal intensive care unit: study protocol of a longitudinal cohort study. BMC Pediatr 23, 344 (2023). https://doi.org/10.1186/s12887-023-04165-0

Download citation

  • Received:

  • Accepted:

  • Published:

  • DOI: https://doi.org/10.1186/s12887-023-04165-0

Keywords