INTRODUCTION
Attending child daycare centres (DCCs) has been associated with increased risk of acquiring gastrointestinal and respiratory infections [Reference Nafstad1–Reference Barros3]. These infections can cause parental stress, secondary transmission, healthcare costs, and costs for parental work absence [Reference Van der Wielen4–Reference Giaquinto7]. Hand hygiene (HH) is known to be an effective measure to prevent infections [Reference Ejemot8, Reference Jefferson9]. However, compliance with HH guidelines in DCCs is generally low [Reference Zomer10]. Although several HH interventions have been developed to reduce infections in children attending DCCs [Reference Gudnason11–Reference Uhari and Mottonen18], these interventions show varying results [Reference Huskins19] and are not developed according to a stepwise behavioural approach taking into account the determinants that underlie HH behaviour [Reference Bartholomew20].
Our previous research showed that environmental determinants, such as the availability of paper towels, are associated with caregivers' HH compliance in DCCs [Reference Zomer10]. In addition, we found that the following sociocognitive determinants are associated with HH compliance of DCC caregivers: knowledge and awareness of HH guidelines, perceived importance of performing HH, perceived behavioural control (i.e. perceived ease or difficulty of performing the behaviour) and habit [Reference Zomer21]. We developed an intervention targeting these determinants aiming to increase compliance with HH guidelines and reduce gastrointestinal and respiratory infections in children attending DCCs. We assessed both HH compliance and incidence of infections as outcome measures. HH compliance as outcome measure provides insight into a more direct effect of the intervention and might explain the variation in effectiveness of previous HH intervention studies assessing disease incidence. In this paper we assess the effectiveness of our intervention on improving HH compliance. The effectiveness on disease incidence is reported separately [Reference Zomer22].
METHODS
A cluster randomized controlled trial of a HH intervention was performed in DCCs in the regions of Rotterdam-Rijnmond, Gouda and Leiden in The Netherlands between September 2011 and April 2012. DCCs were randomized, stratified for DCC size and urbanicity [Reference Zomer23]. In our previous study on determinants of caregivers' HH compliance, 122 DCCs participated [Reference Zomer10, Reference Zomer21]. These DCCs were contacted for participation in the trial. Sample size calculation showed that 35 intervention DCCs and 35 control DCCs were needed [Reference Zomer23].
The intervention consisted of four components [Reference Zomer23]. First, the following HH products were provided free of charge with refills for 6 months: dispensers for paper towels, soap, alcohol-based hand sanitizer and hand cream. Second, training was given to educate DCC caregivers about the Dutch national HH guidelines. This included a hand-washing exercise using UV Glow Cream (Deb Benelux Inc.) and an information booklet outlining the content of the training. Third, two team training sessions were given aimed at goal setting and formulating specific HH improvement activities. These were based on similar HH training sessions developed for Dutch hospitals [Reference Huis24]. Fourth, reminders and cues for action were provided for both caregivers and children (i.e. posters and stickers). Due to budget restrictions, the HH products were provided for two groups of the DCC, even if the DCC had more than two groups in total. The other intervention components were provided for all DCC groups and staff members.
Intervention DCCs were compared to control DCCs that continued usual practice. The primary outcome measure was observed HH compliance of caregivers. Compliance was defined as the number of HH actions divided by the total number of opportunities for which HH was indicated. According to Dutch national guidelines, HH is mandatory for caregivers before touching/preparing food, before caregivers themselves ate or assisted children with eating, and before wound care; and after diapering, after toilet use/wiping buttocks, after caregivers themselves coughed/sneezed/wiped their own nose, after contact with body fluids (e.g. saliva, vomit, urine, blood, or mucus when wiping children's noses), after wound care, and after hands were visibly soiled [25]. For these HH indications it was observed whether or not HH was performed. As observations could not take place in the caregivers' lavatory, HH of caregivers after toilet use was not observed. HH was defined as washing hands with water and soap followed by hand drying, or using an alcohol-based hand sanitizer (which could only be used if hands were not visibly soiled).
Although the primary outcome measure was HH compliance of caregivers, it was also observed whether caregivers supervised children in washing their hands before eating/preparing food, after toilet use, after playing outside, and after hands were visibly soiled, as indicated in the HH guidelines [25]. Children had to wash their hands with water and soap followed by hand drying. For babies and toddlers who could not wash their hands themselves yet, caregivers could perform HH by using a wet cloth [25].
Compliance was assessed with direct unobtrusive observation by trained observers before the start of the intervention (T0) and 1 (T1), 3 (T3), and 6 (T6) months after start of the intervention. In total, 13 observers were trained aiming for an inter-rater reliability above 75%. Data collection followed phased implementation of the intervention [Reference Zomer23]. After observing baseline compliance (T0), intervention DCCs received the HH products, posters/stickers and training regarding the HH guidelines; after this HH compliance was observed again (T1), and once more after each of both team training sessions (T3 and T6). At each measurement, the aim was to observe three caregivers for 2 h in two participating groups per DCC. One observer observed one caregiver at a time, as well as the children under his/her care. Data were collected using the World Health Organization HH observation method [Reference Sax26], adapted for use in child DCCs. At 6 months follow-up, it was also observed whether the dispensers provided as part of the intervention were (still) in use. After the last observations, a survey was conducted among caregivers in intervention DCCs concerning their exposure to the different intervention components.
Data were analysed using SPSS v. 19 (SPSS Inc., USA) and R v. 2.12.2 (https://cran.r-project.org). Analyses were performed including all intervention DCCs irrespective of whether they used the HH products, posters/stickers or obtained all training sessions (intention-to-treat analyses). First, baseline characteristics were compared. Second, compliance at baseline and total follow-up (T1, T3 and T6 together) was calculated, as well as compliance for the separate follow-up measurements (T1, T3 and T6 separate). For 6 months follow-up (T6), compliance was calculated for each of the HH indications. Multilevel regression analyses were performed to correct for clustering of the data within DCCs and within caregivers. Using multilevel logistic regression analyses for total follow-up and for each separate follow-up measurement, odds ratios (ORs) with 95% confidence intervals (CIs) were obtained for the intervention effect (i.e. intervention status of the DCC: intervention vs. control), corrected for confounders that showed significant differences at baseline between intervention and control DCCs. Because the type of activity for which HH was indicated had previously been shown to be an important determinant of caregivers' HH [Reference Zomer10], this was also included as a confounder. Additional analyses were performed to correct for baseline compliance. For this we calculated the intervention effect as the interaction between intervention status of the DCC (i.e. intervention vs. control) and follow-up measurement (i.e. baseline vs. T1, baseline vs. T3, baseline vs. T6, baseline vs. total follow-up).
Ethical approval was waived by the Medical Ethics Committee of the Erasmus University Medical Center in Rotterdam (MEC-2011-256).
RESULTS
Of 122 DCCs, 71 DCCs participated in the trial (response rate 58%). After randomization, there were 36 intervention and 35 control DCCs. At baseline and 1 month after start of the intervention, all 71 DCCs participated. Three months after start of the intervention, one control DDC was lost to follow-up, and 6 months after start of the intervention two more control DCCs were lost to follow-up. In total, 795 caregivers and 5042 HH opportunities were observed. In addition, 5606 opportunities were observed for supervising children's HH. The inter-rater reliability of the observers was ⩾74%.
Comparison of baseline characteristics of intervention and control DCCs demonstrated that in intervention DCCs, age group (0–1, 2–3, 0–4 years) significantly differed from control DCCs (Table 1). This variable was therefore included in further analyses as a confounder. None of the other baseline characteristics were significantly different between intervention and control DCCs (Table 1).
DCC, Daycare centre.
* N = 72 intervention groups and 70 control groups.
† N = 57 intervention groups and 48 control groups (groups with children aged 0–2 years were excluded).
‡ N = 105 intervention caregivers and 102 control caregivers.
§ Estimated with Poisson regression.
|| Estimated with independent t test.
All 36 intervention DDCs received training on HH guidelines. Of 36 intervention DCCs, two DCCs did not use any of the provided HH products during the study period. Another two DCCs did not receive any of the team training sessions. At 6 months follow-up, 94% (33/35) of intervention DCCs used the paper towel dispensers in at least one of the two groups, 89% (31/35) used the soap dispensers, 86% (30/35) used the dispensers with alcohol-based hand sanitizer and 45% (13/29) used the dispensers with hand cream. At 6 months follow-up, in 19% of intervention DCCs (7/36), neither posters nor stickers of the intervention were used, in 83% (29/35) the posters were used in at least one of two groups, and in 74% (26/35) the stickers were used. The response rate to the questionnaire on exposure to the intervention was 50% (274/546). Of 274 caregivers, 21% (54/261) attended none of the training sessions, 25% (66/261) attended one training session, 29% (75/261) attended two training sessions and 25% (66/261) attended all three sessions. Of 274 caregivers, 77% (202/262) received the information booklet of the training session on HH guidelines.
HH compliance of caregivers
Figure 1 shows that caregivers' HH compliance at baseline was lower in intervention DCCs than in control DCCs. During follow-up, compliance in intervention DCCs was higher than in control DCCs, although the effect of the intervention seemed to wane slightly.
Compliance at baseline was not significantly different between intervention and control DCCs (respectively 53% vs. 63%; OR 0·62, 95% CI 0·38–1·02) (Table 2). Overall compliance during total follow-up (i.e. taking T1, T3 and T6 together) in intervention DCCs was 62% (1243/2005) vs. 44% (812/1850) in control DCCs. Correcting for type of activity for which HH was indicated, age group, and clustering of the data within caregivers and within DCCs, the OR was 2·69 (95% CI 1·88–3·86). The OR was 4·65 (95% CI 2·99–7·25) when also taking into account baseline compliance. One month after the start of the intervention, compliance in intervention DCCs was 66% (459/692) vs. 43% (273/640) in control DCCs. This difference was significant, correcting for type of activity for which HH was indicated, age group, and clustering of the data within caregivers and within DCCs (OR 3·53, 95% CI 2·23–5·61). Three months after the start of the intervention, compliance was 60% (392/649) in intervention DCCs vs. 46% (273/600) in control DCCs (OR 2·45, 95% CI 1·58–3·80). Six months after the intervention start, compliance in intervention DCCs was 59% (392/664) vs. 44% (266/610) in control DCCs (OR 2·49, 95% CI 1·39–4·46). When also taking into account baseline compliance the OR for the intervention effect after 6 months was 4·13 (95% CI 2·33–7·32).
OR, Odds ratio; CI, confidence interval.
* Difference between intervention and control DCCs corrected for the type of activities for which HH was indicated, age group (i.e. 0–1, 2–3 and 0–4 years), and clustering of the data within caregivers and within DCCs.
† Interaction effect of intervention status of the DCC and baseline/follow-up measurement corrected for the type of activities for which HH was indicated, age group (i.e. 0–1, 2–3 and 0–4 years), and clustering of the data within caregivers and within DCCs.
HH compliance of children
Children's HH compliance at baseline in intervention DCCs was significantly higher than in control DCCs (respectively, 51% vs. 38%; OR 4·24, 95% CI 1·38–12·96) (Table 2). Children's compliance during follow-up (i.e. taking T1, T3 and T6 together) in intervention DCCs was 40% (936/2362) vs. 37% (811/2183) in control DCCs. Corrected for type of activity for which HH was indicated, age group, and clustering of the data within caregivers and within DCCs, there was no significant difference (OR 1·62, 95% CI 0·77–3·42). When also taking into account baseline compliance the difference remained non-significant (OR 0·78, 95% CI 0·25–2·44).
Comparison of the different types of activities for which HH was indicated showed that at 6 months follow-up there was a significant increase in HH compliance (taking into account baseline) after toilet and diapering activities (OR 4·49, 95% CI 2·23–9·05) and after contact with body fluids (OR 4·88, 95% CI 1·77–13·44) (Table 3). Of toilet and diapering activities, the largest difference in HH compliance between intervention and control DCCs was 46% after changing a wet diaper when a child was standing. For activities with body fluid contact, the largest difference was 47% after caregivers coughed/sneezed/wiped their own nose (Table 3). The increase in caregivers' HH compliance before eating and food-handling activities was not significant (OR 1·95, 95% CI 0·76–5·00) (Table 3).
OR, Odds ratio; CI, confidence interval.; n.a., not applicable (as activities occurred ⩽5 times).
* Difference between intervention and control DCCs at 6 months follow-up minus the difference at baseline.
† Interaction effect of intervention status of the DCC and baseline/follow-up measurement corrected for the type of activities for which HH was indicated, age group (i.e. 0–1, 2–3 and 0–4 years), and clustering of the data within caregivers and within DCCs.
DISCUSSION
This is the first HH intervention in DCCs developed according to a stepwise behavioural approach targeting the underlying determinants of caregivers' compliance with HH guidelines. To our knowledge, this is also the first study to assess HH compliance of caregivers as primary outcome measure, as well as children's HH compliance. Our study demonstrates that the intervention we developed for DCCs is effective in improving caregivers' compliance with HH guidelines.
Most HH intervention studies in DCCs report as outcome measure the incidence of gastrointestinal and/or respiratory infections, and/or absence of caregivers/children due to illness [Reference Gudnason11–Reference Uhari and Mottonen18]. Although most of these studies show a reduced rate of infection associated with the implementation of the intervention programme, the nature and magnitude of the effect varies (e.g. the effect is not present for both gastrointestinal and respiratory infections) [Reference Huskins19]. Insight into a more direct effect of the intervention, namely HH compliance, might explain this, as possibly HH compliance only improved for certain HH indications (e.g. diapering vs. nose wiping).
There are few studies to compare our results with. One other DCC intervention study assessed observed HH compliance of caregivers as outcome measure, although no comparison with control DCCs was reported [Reference Kotch16]. That study reports that after training, caregivers' HH improved after diapering and after contact with mucus, saliva, vomit, etc. of children [Reference Kotch16]. In our study, HH also improved after toilet and diapering activities and after contact with body fluids. The improvement of caregivers' HH after contact with body fluids might be explained by the provision of alcohol-based hand sanitizer which made it possible for caregivers to perform HH after wiping children's noses, e.g. when they were playing outside as some DDCs placed the dispensers by the outdoor storage shed. No effect was found on HH compliance before eating and food-handling activities. Therefore, intervention studies for improving HH compliance in DCCs should pay special attention to these activities.
Another study assessed children's HH behaviour [Reference Rosen12]. At 6 months follow-up, the adjusted relative risk for HH before lunch was 2·93 (95% CI 1·86–6·97) and after bathroom use it was 3·30 (95% CI 1·83–16·67) [Reference Rosen12]. In two other studies, only compliance of children in intervention DCCs was reported, and no information was given on compliance in control DCCs or at baseline [Reference Roberts14, Reference Roberts15, Reference Uhari and Mottonen18]. In our study, we did not find an effect on children's HH compliance. This might be explained by the fact that our intervention primarily focused on caregivers and was developed based on determinants of caregivers' HH behaviour and not children's HH behaviour. Besides the posters and stickers, our intervention did not include components specifically targeting children (e.g. hand-washing songs). Furthermore, our study shows that improving HH compliance of caregivers does not automatically yield improving compliance in supervising children's HH. Determinants of (supervising) children's HH might therefore be different from determinants of caregivers' HH and studies are needed to assess these.
Prior to intervention development, we assessed caregivers' HH compliance in DCCs and showed that the overall compliance was 42% [Reference Zomer10]. Although compliance was higher at baseline (i.e. 53% in intervention DCCs and 63% in control DCCs), compliance in control DCCs during follow-up was similar, with little variation over time (43% at T1, 46% at T3, 44% at T6). Because baseline measurement thus seems to be an outlier, especially for control DCCs, we report results both uncorrected and corrected for baseline compliance. At baseline the incidence of gastrointestinal infections was also higher in control DCCs compared to intervention DCCs, which dropped during follow-up [Reference Zomer22]. This might explain the high HH compliance in control DCCs at baseline, as our previous qualitative study showed that caregivers usually increase their HH when observing diarrhoea in the children (T. P. Zomer et al., unpublished data).
A strength of our study is that HH compliance of both caregivers and children was observed and that besides overall compliance, the compliance for each of the specific HH indications is also reported. Furthermore, our intervention had multiple components, addressing environmental and sociocognitive determinants of HH. Moreover, exposure to the different intervention components was high, except for the hand cream dispensers that were delivered halfway through the intervention period (because during the team training sessions it became clear that there was a need for hand cream dispensers to reduce sore and dry hands). Other strengths of the study are the randomized controlled design, the high inter-rater reliability among observers, and the large sample size of 71 participating DCCs and 795 observed caregivers. In addition, control DCCs also received the intervention after data collection, which probably facilitated DCC recruitment and minimized loss to follow-up [Reference Rosen12].
A possible limitation of our study is the Hawthorne effect; caregivers might change their behaviour when they know they are being observed [Reference Pan27]. Although this bias could not be entirely prevented, it was minimized by observing unobtrusively and by informing caregivers that the focus of the observations was on hygiene in general, not specifically mentioning HH. In addition, the physical appearance of the observers was similar to that of caregivers working in the DCCs, as most of them were young females. Furthermore, repeated exposure to observations could make caregivers less sensitive to adapting their behaviour during observations [Reference Sax26]. Nevertheless, we would expect the Hawthorne effect to be more pronounced in intervention DCCs than in control DCCs, as being exposed to the intervention made it more likely for caregivers to know the purpose of the observation. The intervention effect might then be an overestimation of the true effect size. The incidence of gastrointestinal and respiratory infections in children attending DCCs [Reference Zomer22] would then be a more objective outcome measure. Another possible limitation is that observers might have recognized the intervention status of the DCC, which could have biased data collection. Furthermore, children's HH compliance was only assessed in children for which the observed caregiver was responsible, and not in all children in the group. Better assessment of children's HH compliance would include all the children. Another possible limitation is that the participating DCCs also participated in our previous study on determinants of HH behaviour, for which they received information regarding their HH compliance 6 months prior to intervention start. Therefore, the intervention effect might be an underestimation of the true effect size.
In conclusion, this study shows that our intervention, addressing determinants that underlie caregivers' HH behaviour, is effective in improving caregivers' HH compliance in DCCs. Therefore, dissemination of the intervention in other DCCs can be considered (especially when determinants of HH behaviour are similar). DCCs can then implement the intervention to distinguish themselves from a quality perspective from other DCCs. More studies are needed to assess the duration of the intervention effect beyond 6 months and to assess which components of the intervention are most effective.
ACKNOWLEDGEMENTS
We thank Jitske de Graaf (Erasmus MC) and Elise van Beeck (Erasmus MC) for administrative support and data collection. The study was by funded by the Netherlands Organization for Health Research and Development (ZonMw), project number 125 020 006. Dispensers and refills were sponsored by SCA Hygiene Products, Sweden. [Trial registration: Dutch trials registry NTR3000.]
DECLARATION OF INTEREST
None.