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Table 1 Characteristics of 78 studies exploring pediatric nurse burnout included in the scoping review

From: What is known about paediatric nurse burnout: a scoping review

Author(s), year, country

Sample

Study design

Burnout measurement tool

Adwan, 2014 [25] (USA)

120 nurses from a large academic medical center, from four pediatric patient care units and pediatric float pool nurses

Cross-sectional correlational design

MBI-HSS

Akman et al., 2016 [26] (Turkey)

165 nurses who had worked at least 1 month in pediatric clinics, surgery clinics, PICU, NICU

A descriptive, comparative, correlational cross-sectional design

MBI-HSS

Alves and Guirardello, 2016 [27] (Brazil)

267 nurses from 15 inpatient wards and three intensive care units of two pediatric hospitals

Cross-sectional correlational design

EE-HSS

Amin et al., 2015 [28] (India)

129 nurses with at least 1-year experience working in NICU

Cross-sectional design

ProQOL5

Aytekin, 2013 [29] (Turkey)

85 nurses working in two NICUs

Descriptive and correlational study (multi-methods)

MBI-HSS

Barr, 2018 [30] (Australia)

142 nurses from four NICUs

Cross-sectional cohort study

ProQOL5

Barr, 2018 [31] (Australia)

140 nurses from four NICUs

Cross-sectional survey design

ProQOL5

Berger et al., 2015 [32] (USA)

239 pediatric nurses working in a five-hospital system which included an urban pediatric tertiary care teaching hospital

Cross-sectional survey design

ProQOL5

Bilal et al., 2017 [33] (Pakistan)

113 pediatric nurses working in Punjab’s largest state-run hospital

Cross-sectional survey design

Five items adapted from the Camp scale (1994)

Bourbonnais et al., 1998 [34] (Canada)

1 891; 57 pediatric nurses employed at six acute care hospitals

Cross-sectional survey design (phase 1 of a longitudinal study)

MBI; only separated out EE

Branch and Klinkenberg, 2015 [35] (USA)

296; 179 pediatric nurses on ED, PICU, CICU, haem-onc, and cardiology units

Cross-sectional survey design

ProQOL5

Bursch et al., 2018 [36] (USA)

115 nurses working in an urban children’s hospital PICU or NICU

Cross-sectional survey design

Abbreviated MBI

Czaja et al., 2012 [37] (USA)

173 nurses on general medical, surgical and oncology wards, PICU, and ED at a tertiary care children’s hospital

Cross-sectional survey design

MBI-HSS

Davis et al., 2013 [38] (USA)

74, 15 pediatric oncology nurses from two major medical centers

Cross-sectional survey design (observational, descriptive research design)

MBI

Dos Santos Alves et al., 2017 [39] (Brazil)

267 nurses, nursing technicians, and nursing assistants on 15 in-patient units and three ICUs in two pediatric hospitals

Cross-sectional survey design

MBI: EE

Downey et al., 1995 [40] (USA)

59 NICU nurses from a single state

Multi-methods design (surveys and open-ended questions)

Adaptation of Popoff and Funkhouser ́s survey of nurses

Duxbury et al., 1984 [41] (USA)

283 nurses from 14 level 3 NICUs

Cross-sectional survey design

The Tedium Scale

Edmonds et al., 2012 [42] (Canada)

182; 88 pediatric oncology nurses from four major hospital centers

Interventional, pre/post-design

MBI

Estabrooks et al., 2011 [43] (Canada)

844 nurses from 32 units across eight pediatric hospitals

Cross-sectional survey design

MBI-GS

Faller et al., 2011 [44] (USA)

976; 117 pediatric/neonatal travel nurses employed by a large healthcare staffing company

Cross-sectional survey design

CBI

Favrod et al., 2018 [45] (Switzerland)

213; 91 NICU nurses from two university hospitals

Concurrent triangulation, mixed-methods cross-sectional study

MBI

Gallagher and Gormley, 2009 [46] (USA)

30 BMT nurses from a large pediatric medical center

Descriptive non-experimental design multi-method design (survey + an open-ended question)

MBI

Gauthier et al., 2015 [47] (USA)

45 PICU nurses at an urban pediatric academic hospital

Interventional, pre/post-design

MBI-HSS

Günüşen et al., 2018 [48] (Turkey)

117 pediatric nurses caring for children with chronic illness at an urban children’s public hospital from critical care, CV surgery, oncology, premature care, neonatal care, and burn care

Mixed-methods design (cross-sectional survey + interviews)

MBI

Habadi et al., 2018 [49] (Saudi Arabia)

182; 22 pediatric nurses working in an academic hospital including pediatric ward, NICU, and PICU

Cross-sectional survey design

MBI-HSS

Hallberg, 1994 [50] (Sweden)

11 pediatric mental health nurses from a nine-bed child psychiatric unit

Interventional mixed-methods design (supervisory sessions, surveys + open ended questions)

MBI and the Tedium Measure

Holden et al., 2011 [51] (USA)

347 nurses at two urban academic tertiary care free-standing pediatric hospitals and three inpatient units were studied at each hospital: PICU hematology and oncology transplant and general medical/surgical

Cross-sectional survey design

MBI: EE

Hsu et al., 2010 [52] (Taiwan)

121; five pediatric nurses found through the National Union of Nurses’ Associations Republic of China database

Cross-sectional survey design

Occupational Burnout Scale

Hylton Rushton et al., 2015 [53] (USA)

114; 20 pediatric nurses from two pediatric/neonatal units

Cross-sectional survey design

MBI

Jacobs et al., 2018 [54] (USA)

206; 47 nurses from six companies of the pediatric healthcare system and included employees from the medical center, primary care, home health, and other supporting departments in the system

Cross-sectional survey design

MBI and CBI

Kase et al., 2018 [55] (USA)

150; 43 pediatric palliative care nurses identified through the American Academy of Pediatrics

Cross-sectional survey design

The Compassion Fatigue and Satisfaction Self-Test for Helpers

Klein et al., 2017 [56] (Switzerland)

398; 302 nurses from nine level 3 NICUs

Cross-sectional survey design

A selection of 10 questions from the MBI covering each subscale

Koivula et al., 2000 [57] (Finland)

723; 21 pediatric nurses from two hospitals

Cross-sectional survey design

Paunonen’s instrument

Latimer et al., 2017 [58] (Canada)

51; 27 female NICU and PICU nurses at large tertiary pediatric hospital

Cross-sectional design (survey + fMRI)

Compassion Fatigue Scale

Lewiston et al., 1981 [59] (USA)

96; 38 nurses attending a workshop for health professionals who work with children with chronic illness

Cross-sectional survey design

MBI

Li et al., 2014 [60] (USA)

251 new nurses entering a residency program at an urban children’s hospital

Cross-sectional survey design

Compassion satisfaction and fatigue test

Liakopoulou et al., 2008 [61] (Greece)

113; 71 nurses from two pediatric departments

Cross-sectional, comparative, and correlational descriptive design

MBI

Lin et al., 2009 [62] (China)

249; 14 pediatric nurses working in a large public teaching hospital

Cross-sectional survey design

MBI-HSS

Lin et al., 2016 [63] (Taiwan)

144 female PICU nurses from seven regional teaching hospitals or higher-level medical institutions

Cross-sectional, correlational, survey design

Occupational Burnout Inventory

Liu et al., 2018 [64] (China)

1 761; 101 nurses from nine public tertiary hospitals in four provinces

Cross-sectional survey design

(Chinese) MBI-GS

Maytum et al., 2004 [65] (USA)

20 nurses recruited from throughout the state with extensive nursing expertise working with children with chronic conditions

Descriptive, qualitative study

Self-identification

Meadors et al., 2009 [66] (USA)

167; 23 nurses located nationwide working in PICU, NICU, or general pediatrics

Cross-sectional, correlational survey design

ProQL

Messmer et al., 2011 [67] (USA)

33 nurses with 2 years or less experience hired at a children’s hospital

Cross-sectional descriptive, correlational study

The Maslach Burnout Inventory (MBI)

Meyer et al., 2015 [16] (USA)

251 nurses entering an RN residency program at an urban children’s hospital

Longitudinal study

Compassion Fatigue Self-Test

Moody et al., 2013 [68] (USA and Israel)

47; 25 pediatric oncology nurses from two urban academic pediatric hematology/oncology programs

Interventional, mixed methods (survey + journal), pre/post-design

MBI

Morelius et al., 2013 [69] (Sweden)

47 nurses from two departments at a university hospital, a level 3 NICU, and a child and adolescent psychiatry inpatient ward

An exploratory, prospective design

CBI

Morrison Wylde et al., 2017 [70] (USA)

95 nurses entering a pediatric nurse residency program in a children’s hospital in an urban area

Interventional pre/post-design

The Compassion Fatigue Self-Test

Moussa and Mahmood, 2013 [71] (Egypt)

55 PICU nurses

Cross-sectional, descriptive, correlational design

MBI-HSS

Mudallal et al., 2017 [72] (Jordan)

407; 39 pediatric nurses, total sample from 11 hospitals

Cross-sectional, correlational design

MBI-HSS

Murphy-Oikonen et al., 2010 [73] (Canada)

14 NICU nurses at a regional hospital

Qualitative exploratory study; computer-assisted personal interview format

Self-identification

Neumann et al., 2018 [74] (USA)

914; 238 pediatric hematopoietic cell transplant nurses

Cross-sectional survey design

MBI

Nguyen et al., 2018 [75] (Vietnam)

500; 78 pediatric nurses from a general hospital, children’s hospital and obstetric hospital

Cross-sectional survey design

MBI:GS

Oehler et al., 1991 [77] (USA)

49 nurses in PICU, NICU, and intermediate care unit at a large tertiary medical center

Cross-sectional survey design

MBI

Oehler and Davidson, 1992 [76] (USA)

121 nurses working in a level 3 NICU

Cross-sectional correlational design

MBI

Ohue et al., 2011 [78] (Japan)

336; 27 pediatric nurses from three acute care hospitals

Cross-sectional survey design

MBI (revised version)

Pagel and Wittmann, 1986 [79] (USA)

74 nurses working in 13 acute care pediatric settings across three large medical centers and 10 community hospitals

Multi-methods survey design

The Tedium Measure

Paula Vega et al., 2017 [98] (Chile)

153 nurses working in pediatric oncology or PICU

Cross-sectional design

MBI

Profit et al., 2014 [80] (USA)

2 073; 1 499 RNs/NPs from 44 NICUs

Cross-sectional survey study

Four-item EE scale, based on the MBI

Richter et al., 2012 [81] (South Africa)

17 nurses working in the pediatric ward of an overburdened public hospital where intervention was rolled out

Interventional pre/post-design

MBI-HSS

Robins et al., 2009 [82] (USA)

314; 136 nurses from the Divisions of Oncology, Cardiology, Nephrology, Emergency Services, Intensive Care Units, Rehabilitation/Child Development, Psychology, Social Work, and Anesthesiology. General medical nurses who provided care on the medical/surgical and critical care floors but did not belong to a specific pediatric division were also recruited.

Cross-sectional design

Compassion Satisfaction and Fatigue Test

Rochefort and Clarke, 2010 [83] (Canada)

339 NICU nurses working in nine large urban, publicly-administered teaching hospitals

Cross-sectional correlational survey design

MBI: EE

Rodrigues et al., 2018 [85] (USA)

32 and 41; study 1: 32 nurses working in a 44-bed pediatric inpatient care unit at a large urban hospital; study 2: participants included 41 nurses working in general pediatric inpatient units at two large urban children’s hospitals (27 from site 1 and 14 from site 2)

Mixed methods (focus groups + surveys)

Study 1: self-report; study 2: MBI: EE, DP

Rodrigues et al., 2018 [84] (USA)

33 nurses working on a 44-bed pediatric inpatient care unit at a large urban hospital

Interventional, post-intervention, repeated measures design

MBI: EE, DP

Rodriguez-Rey et al., 2018 [86] (Spain)

487; 281 nurses from PICU and general pediatrics at nine hospitals

Cross-sectional survey design

MBI

Roney and Acri, 2018 [87] (USA)

318 nurses—current members of the Society of Pediatric Nurses (SPN)

Cross-sectional survey design

ProQOL

Sekol and Kim, 2014 [88] (USA)

240 nurses working in surgical, medical, critical care, and hematology/oncology units of a children’s hospital

Cross-sectional survey design

ProQOL5

Skorobogatova et al., 2017 [89] (Lithuania)

94 nurses working in NICUs of two tertiary care perinatology centers

Cross-sectional survey design

MBI-HSS

Soroush et al., 2016 [90] (Iran)

86 NICU nurses from all educational hospitals in the region

Cross-sectional, descriptive, survey design

MBI

Squires et al., 2013 [91] (Canada)

735 nurses from 15 children’s hospitals

Cross-sectional survey design

MBI-GS

Stimpfel et al., 2013 [92] (USA)

3 710 NICU, PICU, newborn nursery, and general pediatrics nurses from 342 hospitals

Cross-sectional survey design

MBI-HSS

Sun et al., 2017 [93] (China)

602; 51 pediatric nurses from three hospitals

Cross-sectional survey design

MBI-HSS

Sun et al., 1996 [94] (China)

1 100; 277 pediatric nurses from multiple medical centers

Cross-sectional survey design

MBI

Tawfik et al., 2017 [95] (USA)

1 934; 1 374 NICU nurses from 44 NICUs in the same state

Cross-sectional survey design

MBI

Tawfik et al., 2017 [96] (USA)

2 073; 1 464 NICU nurses from 44 NICUs in the same state

Cross-sectional design

MBI

Vicentic et al., 2016 [97] (Serbia)

60; 30 nurses/technicians of children with CP; control group of 30 pediatric nurses/technicians, as caregivers of normally developing, non-palsy children

Case-control study

MBI-HSS

Watson and Feld, 1996 [99] (New Zealand)

14 pediatric ward nurses

Multi-methods design (surveys and open-ended questions)

MBI

Yao et al., 2018 [100] (China)

860; 44 pediatric nurses

Cross-sectional design

MBI-GS

Zanatta and Lucca, 2015 [101] (Brazil)

188; 57 pediatric nurses at a single institution

Cross-sectional design

MBI-HSS

  1. Total sample size is provided, in addition to sample size of pediatric nurses, if pediatric nurses were a subgroup of a larger sample
  2. MBI Maslach Burnout Inventory; MBI-GS Maslach Burnout Inventory-General Survey; MBI-HSS Maslach Burnout Inventory-Human Services Survey; EE Emotional Exhaustion, a subscale of the Maslach Burnout Inventory; DP Depersonalization, a subscale of the Maslach Burnout Inventory; CBI Copenhagen Burnout Inventory; ProQOL Professional Quality of Life Scale; ProQOL5 Professional Quality of Life Scale, version 5; ED emergency department; PICU pediatric intensive care unit; NICU neonatal intensive care unit; CICU cardiovascular intensive care unit; Haem-onc hematology-oncology; BMT bone marrow transplant; CP cerebral palsy