| Literature DB >> 29760867 |
Claire Hoysted1, Franz E Babl2,3,4, Nancy Kassam-Adams5,6, Markus A Landolt7,8, Laura Jobson1, Claire Van Der Westhuizen9, Sarah Curtis10, Anupam B Kharbanda11, Mark D Lyttle12,13, Niccolò Parri14, Rachel Stanley15, Eva Alisic3,7,16.
Abstract
Background: Provision of psychosocial care, in particular trauma-informed care, in the immediate aftermath of paediatric injury is a recommended strategy to minimize the risk of paediatric medical traumatic stress. Objective: To examine the knowledge of paediatric medical traumatic stress and perspectives on providing trauma-informed care among emergency staff working in low- and middle-income countries (LMICs). Method: Training status, knowledge of paediatric medical traumatic stress, attitudes towards incorporating psychosocial care and barriers experienced were assessed using an online self-report questionnaire. Respondents included 320 emergency staff from 58 LMICs. Data analyses included descriptive statistics, t-tests and multiple regression.Entities:
Keywords: Paediatric injury; child traumatic stress; psychological first aid; psychosocial care; traumatic stress; • Emergency staff in low- and middle-income countries (LMICs) showed knowledge gaps with regard to paediatric medical traumatic stress associated with childhood injury.• Knowledge of paediatric medical traumatic stress in injured children was associated with having had training in psychosocial care and working in a higher income country within LMICs.• Emergency staff in LMICs demonstrated a need and desire for education on paediatric medical traumatic stress in injured children and training in trauma-informed care, with the majority preferring training be delivered online.
Year: 2018 PMID: 29760867 PMCID: PMC5944367 DOI: 10.1080/20008198.2018.1468703
Source DB: PubMed Journal: Eur J Psychotraumatol ISSN: 2000-8066
Distribution of respondents by country of work (N = 320).
| Congo, Democratic Republic of the (Zaire) | 1 (0.3) |
| Ethiopia | 2 (0.6) |
| Haiti | 1 (0.3) |
| Liberia | 2 (0.6) |
| Nepal | 10 (3.1) |
| Sierra Leone | 1 (0.3) |
| Somalia | 1 (0.3) |
| Tanzania | 1 (0.3) |
| Uganda | 1 (0.3) |
| Angola | 1 (0.3) |
| Bangladesh | 1 (0.3) |
| Bolivia | 1 (0.3) |
| Cameroon | 2 (0.6) |
| Egypt | 1 (0.3) |
| Georgia | 1 (0.3) |
| Ghana | 1 (0.3) |
| Guatemala | 4 (1.3) |
| India | 19 (5.9) |
| Kosovo | 7 (2.2) |
| Laos | 1 (0.3) |
| Lesotho | 1 (0.3) |
| Libya | 1 (0.3) |
| Mongolia | 2 (0.6) |
| Nigeria | 17 (5.3) |
| Pakistan | 2 (0.6) |
| Papua New Guinea | 2 (0.6) |
| Philippines | 3 (0.9) |
| Sao Tome and Principe | 1 (0.3) |
| Sri Lanka | 3 (0.9) |
| Sudan | 2 (0.6) |
| Zambia | 4 (1.3) |
| Albania | 13 (4.1) |
| Algeria | 2 (0.6) |
| Argentina | 42 (13.1) |
| Belize | 1 (0.3) |
| Bosnia-Herzegovina | 3 (0.9) |
| Botswana | 5 (1.6) |
| Brazil | 4 (1.3) |
| Bulgaria | 2 (0.6) |
| China | 42 (13.1) |
| Costa Rica | 10 (3.1) |
| Cuba | 1 (0.3) |
| Ecuador | 2 (0.6) |
| Fiji | 10 (3.1) |
| Hungary | 2 (0.6) |
| Iran | 12 (3.8) |
| Iraq | 5 (1.6) |
| Lebanon | 1 (0.3) |
| Malaysia | 16 (5.0) |
| Marshall Islands | 2 (0.6) |
| Mayotte | 4 (1.3) |
| Mexico | 3 (0.9) |
| Namibia | 1 (0.3) |
| Romania | 3 (0.9) |
| Saint Vincent and Grenadines | 1 (0.3) |
| South Africa | 28 (8.8) |
| Thailand | 5 (1.6) |
| Turkey | 3 (0.9) |
| Total | 320 (100) |
Note: Country of income classification as classified by the World Bank at the time of data collection, 2013 financial year (World Bank, 2016).
Characteristics of survey respondents (N = 320).
| Characteristic | |
|---|---|
| Age | 40.2 (9.6) |
| Gender, | 135 (42.2) |
| Female | |
| Profession, | 38 (11.9) |
| Nurse | 282 (88.1) |
| Physician | |
| Location, | |
| Rural area | 26 (8.1) |
| Suburban area | 45 (14.0) |
| Urban area | 249 (77.8) |
| Percentage of primary patients who are children, | |
| Less than 20% | 103 (32.2) |
| 20–40% | 89 (27.8) |
| 40–60% | 21 (6.6) |
| 60–80% | 11 (3.4) |
| More than 80% | 96 (30.0) |
| Regions within low/middle income countries, | |
| East Asia & Pacific | 83 (25.9) |
| Europe & Central Asia | 34 (10.6) |
| Latin America & Caribbean | 70 (21.9) |
| Middle East & North Africa | 22 (6.9) |
| South Asia | 35 (10.9) |
| Sub-Saharan Africa | 76 (23.8) |
| Years of experience in patient care | |
| 14.5 (9.6) |
Respondents training experience and preferences for training in paediatric medical traumatic stress and trauma-informed care.
| Training status or preference | |
|---|---|
| Previous training in trauma-informed care, | |
| No training | 244 (91.4) |
| Have had training | 23 (8.6) |
| Further training in trauma-informed care, | |
| Want training | 254 (94.4) |
| Do not want training | 15 (5.6) |
| First preferences for mode of training | |
| A book on the topic | 38 (14.2) |
| Group training in-person in one block of hours | 26 (9.5) |
| Online: interactive website (e.g. webinar, video examples, quizzes) | 51 (19.1) |
| Online: website and written information | 50 (18.7) |
| Group training in-person spread over a number of weeks | 51 (19.1) |
| Individual mentor sessions with an experienced clinician of my own profession | 21 (7.9) |
| Individual mentor sessions with a mental health clinician | 15 (5.6) |
Note: N = 320, valid % indicates percentage of respondents excluding missing data.
Descriptive analysis of LMIC emergency staff knowledge of paediatric medical traumatic stress, correct answers.
| Knowledge items | Answered correctly, |
|---|---|
| All levels of injury severities are at risk for traumatic stress | 134 (41.9) |
| All age groups are at risk for traumatic stress | 67 (20.9) |
| Child/parents/siblings are at risk | 133 (41.6) |
| Various behaviours (e.g. calm, frantic) can indicate risk | 37 (11.6) |
| Subjective life threat is risk factor | 150 (46.9) |
| Pain is a risk factor | 163 (50.9) |
| > 50% of children report stress symptoms in 1st month post-injury | 24 (7.5) |
Note: N = 320.
Multiple regression analysis of emergency staff’s knowledge of paediatric medical traumatic stress.
| Variable | SEB | β | |
|---|---|---|---|
| Years of experience in patient care | 0.01 | 0.01 | 0.05 |
| Training in trauma-informed care (no training, had training) | 1.01 | 0.33 | 0.19** |
| Percentage of primary patients who are children | 0.08 | 0.06 | 0.09 |
| Confidence in psychosocial care | 0.01 | 0.01 | 0.06 |
| Country income according to world bank categories | 0.17 | 0.06 | 0.17* |
Note: n = 267; * = p < .05; ** = p < .001; F(5,261) = 5.02; p < .001; R2 = .09; B = unstandardized regression coefficient; SEB = Standard error of the coefficient; β = standardized coefficient; ‘No training’ was codded ‘0ʹ; ‘Have had training’ was coded ‘1’.
Barriers to implementing trauma-informed care experience by emergency staff.
| Barriers to implementing psychosocial care | Staff who considered this a barrier |
|---|---|
| Time constraints | 233 (82.9) |
| Lack of training | 246 (87.6) |
| Confusing evidence on what to do | 222 (79.0) |
| Worry about further upsetting children and families | 191 (68.0) |
| A lack of dedicated space to provide psychosocial care | 235 (83.6) |
| Lack of support from supervisors or others in the health care system | 225 (80.1) |
Note: N = 320, valid % indicates percentage of respondents excluding missing data.