DOI: https://doi.org/10.4414/smw.2019.20016
Suicide is among the top 20 causes of death worldwide. According to the World Health Organization (WHO), nearly one million people die from suicide every year [1]. Self-harm is one of the strongest predictors of completed suicide [2–5]. Although high-quality data exist for completed suicide, self-harm remains poorly documented worldwide, and the WHO recommends monitoring self-harm in order to target prevention [1, 6, 7]. Emergency services are one of the best places to establish such monitoring systems, since the large majority of those who attempt suicide and people who conduct self-harm need medical care [8, 9].
Previous monitoring systems have been established in the United Kingdom (UK), first in Oxford [10–12] in the 1970s and later in Manchester and Leeds, allowing between-site comparisons [13, 14]. Ireland is one of the few countries with national registration [15, 16]. Numerous existing systems were introduced in Europe, following the WHO’s international programmes (Multicentre Study on Suicidal Behaviour, MONitoring SUicidal Behaviour in Europe, Suicide Prevention – Multisite Intervention Study on Suicidal Behaviours) [17, 18], in, for example, some cities in France [19] and Italy [20].
Results of these monitoring systems showed, for instance, that females [11, 13, 15, 17–22], young people [13, 17, 18, 21, 23], single persons (especially men) [17, 24–27], immigrants [27–29], and people with a low level of education [30] or unemployed [1, 30] are more at risk for self-harm. These systems also established remarkable gender differences [31, 32] regarding the selection of methods: self-poisoning appears to be more likely in females than in males, whereas ‘violent’ methods such as hanging or jumping from a height are more common among males [19, 31, 32]. Identifying specific risk factors enables the development of recommendations for public health strategies and the implementation of new interventions. In England, for example, offering specific support for alcohol misuse or relationship problems as issues surrounding self-harm has been identified as a relevant preventive measure [33]. Following self-harm monitoring in German-speaking Switzerland, recommendations were made to keep as low as possible the package size and dosage of specific drugs used by people who self-harm [29]. These monitoring systems and interventions are not only relevant for developing suicide prevention strategies, but also to prevent self-harm itself. As well as suffering, self-harmers are prone to endure stigma [34] which can lead to struggles with help-seeking [35]. Preventing self-harm also has an impact on public health costs. In Switzerland, costs related to hospitalisation due to self-harm approximate 200 million Swiss francs per year [36].
In Switzerland, although suicide is the fourth leading cause of early death [37] and more than 10,000 persons seek medical treatment after a suicide attempt every year [36], no systematic monitoring currently exists for self-harm at national level [36]; previous monitoring systems were conducted in small geographical areas by the multi-centred monitoring projects WHO/MONSUE in Bern (2004–2010 [26]) and Basel (2003–2006 [21]). In line with the abovementioned WHO recommendation, the 2016 National Swiss Suicide Prevention Action Plan supports the collection of “relevant data, including self-harm, to guide and evaluate” prevention strategies [36].
To address the lack of self-harm systematic monitoring in Switzerland, the French-speaking Swiss system for monitoring self-harm was initiated in 2014. The objective of this study is to describe the implementation, methodology and first findings of this monitoring system.
The project started under the lead of the Suicide Prevention Group in French-speaking Switzerland (GRPS; Groupe Romand Prévention Suicide), which includes various mental healthcare professionals active in the suicide prevention field. Several institutions are represented in this group including NGOs and local public health authorities. GRPS conducted an exploratory study of the feasibility, the acceptability and the effects of a multi-component intervention for those attempting suicide in Lausanne [38] and subsequently decided to gather more information on the population of self-harmers in several sites of French-speaking Switzerland by undertaking this observational study.
Monitoring was first implemented in two sites, Lausanne and Neuchâtel (see “sample” section for site details), in December 2016, and was expanded to Valais (June 2017) and Geneva (mid-July 2017). At the included sites, each patient presenting with self-harm was evaluated by a resident in psychiatry or psychology or by a psychiatric nurse, under the supervision of a trained psychiatrist. Data collection was carried out using the information gathered during this clinical evaluation. One coordinator was designated to supervise and control the quality of the data collection process for each site. In addition, regularly scheduled research team meetings were planned in order to facilitate the implementation of the monitoring as well as the group training sessions for every caregiver collecting data. Considering staff turnover, these group sessions were planned every six months at each site. They included (i) information on the epidemiology of suicide and self-harm, (ii) a presentation about the monitoring project, and (iii) training sessions with feedback on the data collection procedure.
Every patient presenting for self-harm in the selected emergency departments (see below) was included. Self-harm was defined as “all non-fatal intentional acts of self-poisoning or self-injury, irrespective of degree of suicidal intent or other types of motivation” [10], thus including both DSM 5 non-suicidal self-injury [39] and other acts of self-harm with various suicidal intents, following a dimensional rather than categorical approach to the phenomenon [6, 12]. Suicidal intent was nonetheless recorded in order to distinguish between non-suicidal self-injury and suicidal behaviour disorder.
Four sites representing four regions that encompassed urban and rural areas as well as all patient ages were selected: Lausanne, Neuchâtel, Valais and Geneva (table 1); catchment areas were those of the corresponding general hospital. Selecting such a wide variety of sites with different characteristics followed the WHO’s recommendation of collecting “high-quality data from several representative locations, rather than poor quality data covering the entire country” [1]. In addition, logistics, accessibility and language differences were considered in the decision-making process for site selection. Priority was given to French-speaking areas as language was considered a barrier to standardisation in implementing the intervention and organising the data collection. Selecting French-speaking sites made sense from a scientific standpoint as a way to develop research in this area of Switzerland where no information about self-harm was available, and because it simplified standardisation and communication.
Table 1 Characteristics of the four sites.
Lausanne | Neuchâtel | Valais | Geneva | |
---|---|---|---|---|
Geographic unit | City of Lausanne, centre | Canton of Neuchâtel | Central Valais, centre part of the canton | Canton of Geneva |
Age | 18–65 years | 18+ years | 18+ years | All ages included |
Time period | Since December 2016 | Since December 2016 | Since June 2017 | Since mid-July 2017 |
Type of population | Urban | Mixed | Mixed | Urban |
Catchment area in 2016 | 230,000* | 145,000† | 130,000‡ | 450,000§ |
* CHUV – central sector Lausanne, Vaud, population 18–65 years old † Canton of Neuchâtel, population over 18 years old ‡ Canton of Valais – central Valais, population over 18 years old § Canton of Geneva, all ages included
In this paper, we present data from patients aged 18–65 years in Lausanne city (hereafter Lausanne) and in the county of Neuchâtel (hereafter Neuchâtel) because they included (i) sufficient participants as recruitment started earlier and (ii) a comparable adult population. Data available over a 10-month period (December 2016 to September 2017) provided an adequate critical mass to discuss first findings. As the site in Lausanne only included patients aged 18–65, 16 patients in Neuchâtel who did not fall into that range were excluded from the sample.
The choice of recorded data was based on existing self-harm monitoring systems [21, 40], the WHO’s dedicated document [6], the clinical experience of the research team, and feasibility and acceptability. The fill-in form followed an iterative development process through which several versions were tested and adapted according to end users’ feedback. The form included sociodemographic characteristics (e.g., age, gender, nationality, socioeconomic situation, migration in the past 10 years, civil status) and clinical information (e.g., first diagnosis, past history of self-harm, suicidal intent, method of self-harm and severity of the self-harm episode, protective and precipitating factors). It was completed by the mental healthcare professional in charge of the psychiatric evaluation right after the interview, who evaluated suicidal intent based on all available information (e.g., patient’s discourse, information on circumstances from others, psychiatric evaluation). Psychiatric diagnoses were recorded according to the International Classification of Diseases (ICD-10); collectors could mention up to three diagnoses by order of importance. Event-related (i.e., “episode-based”) self-harm rates and person-related self-harm rates were established by dividing the number of episodes of self-harm and persons who engaged in self-harm by the number of people aged 18–65 living in the respective catchment areas, then multiplying the result by 100,000 and extrapolating it to 12 months.
This study was conducted without the explicit consent of patients. This issue was given full consideration and the relevant cantonal ethic committees on human research approved the project. We argued that requesting consent would have introduced a selection bias [38]. Furthermore, the collected data already belonged to the information gathered in the usual clinical evaluation and only anonymous data were recorded. The procedure of anonymisation was based on four parameters considered constant by the Swiss Federal Statistical Office (FSO) such as name, surname, gender and birth date. These four parameters were recorded, then merged into one string and subjected to an MD5 cryptographic hash [41]. Only this 128-bit digital signature was stored in the database, a result that met three main objectives: ensuring patient anonymity, identifying potential multiple attempters and tracing shifts from one site to another. It was therefore possible to identify attempts made by the same individuals at different locations and times.
Comparisons across sites were performed with independent t-tests for continuous variables, Mann-Whitney’s U test for ordinal variables and Pearson’s chi-square test (or Fisher’s exact test) for categorical variables. Analyses were conducted on all available data. Because of the descriptive nature of our analysis, the study size was not predetermined. All statistical analyses were performed with IBM SPSS version 23. All statistical tests were two-tailed and significance was determined at the 0.05 level.
During the starting phase of the monitoring presented in this paper (10 months, from December 2016 until September 2017), five research team meetings were held. Fourteen group training sessions were conducted with the caregivers in charge of filling out the data collection forms, led by the project manager and the respective site coordinators. More than 60 psychiatric residents and nurses (due to shifts in staffing) were involved in data collection at the four sites. Several barriers to implementation were identified (e.g., fading out, reluctance to filling out the forms, reliability issues) and addressed through specific strategies (table 2).
Table 2 List of identified barriers related to implementation.
Barriers | Addressing strategies |
---|---|
Fading out (decrease in inclusions with time) | Planning more regular feedback on the research process and its purpose as well as on new findings, with the goal to increase motivation. Highlighting the fact that the systematic use of questionnaires may improve clinical skills and awareness of otherwise under-addressed topics. |
Reluctance on part of staff to fill out the data collection form (considered time-consuming) | Using group sessions with staff to collaboratively improve site-specific logistical and clinical organisation in order to minimise the time spent collecting data (e.g., allowing collectors to complete the form with a short delay rather than immediately after the interview). Informing staff about epidemiology of suicide and public health issues related to this problem. |
Reliability issues | Systematising the data collection process by incorporating verification steps in the daily routine (e.g., adding a verification mark to the ED chart, bringing it as a compulsory topic in staff meetings). Using coordinators to supervise and control the process. |
Language | Selecting French-speaking regions to avoid language bias. |
Site organisation | Creating specific rules and guidelines adapted to every service and structure. |
Specific population | Inclusion criteria were adapted to the specific population of children and adolescents (Geneva). |
Organisational and clinical differences between sites | Adapting the abovementioned strategies in each site. |
Among 490 individuals, 554 episodes of self-harm were recorded over a 10-month period (table 3). Rates of self-harm related to event/to individual were 140 per 100,000/131 in Neuchâtel and 220/191 in Lausanne. (For ease of reading, all of the following self-harm rates lack the “per 100,000 denominator”.) Rates of self-harm related to event/to individual were higher at both sites for females in similar proportions. Multiple episodes were excluded for further analysis. The final sample only included the first recorded self-harm episodes from the sites of Lausanne and Neuchâtel (table 3).
Table 3 Overall and gender-specific self-harm rates by site*.
Total | Neuchâtel | Lausanne | p-value† | ||
---|---|---|---|---|---|
Recorded episodes of self-harm | Total | 554 | 132 | 422 | 0.567 |
Male % (n) | 44.6 (247) | 42.6 (56) | 45.3 (191) | ||
Female % (n) | 55.4 (307) | 57.6 (76) | 54.7 (231) | ||
Event-related self-harm rate | Total | 194/100,000 | 140/100,000 | 220/100,000 | |
Male | 177/100,000 | 119/100,000 | 206/100,000 | ||
Female | 210/100,000 | 162/100,000 | 233/100,000 | ||
Recorded individuals | Total | 490 | 123 | 367 | 0.604 |
Male % (n) | 45.1 (221) | 43.1 (53) | 45.8 (168) | ||
Female % (n) | 54.9 (269) | 56.9 (70) | 54.2 (199) | ||
One episode | 445 | 113 | 332 | ||
Two episodes | 36‡ | 9‡ | 26‡ | ||
Three episodes | 6 | 0 | 6 | ||
More than three | 3 | 0 | 3 | ||
Person-related self-harm rate | Total | 171/100,000 | 131/100,000 | 191/100,000 | |
Male | 158/100,000 | 114/100,000 | 182/100,000 | ||
Female | 185/100,000 | 150/100,000 | 201/100,000 |
* According to the site and catchment area characteristics (table 1), approx. per 100,000 inhabitants † Comparisons between Neuchâtel and Lausanne ‡ One individual recorded the first time in Neuchâtel and the second time in Lausanne
Table 4 reports the sociodemographic characteristics of the sample. Overall, the percentages of female (54.9%), mean age (36.2; SD = 12.2) and age distribution did not significantly differ between sites. The majority of the patients were single (56.1%) and no significant differences existed between sites regarding civil status and, likewise, between socioeconomic situation (overall 65.7% with social or economic issues). The proportion of Swiss self-harmers was higher in Neuchâtel (56.9%) than in Lausanne (44.4%, χ2 [1] = 5.768, p = 0.016). More self-harmers were migrants in Lausanne (32.9%) than in Neuchâtel (25.5%, χ2 [2] = 8.118, p = .017) and they had more frequently experienced forced migration (13.8% of the total sample in Lausanne versus 3.2% in Neuchâtel).
Table 4 Characteristics of the sample* and variable description by site.
Total
(n = 490) |
Neuchâtel
(n = 123) |
Lausanne
(n = 367) |
p-value† | |||
---|---|---|---|---|---|---|
Gender (% Female) | % (n) | 54.9 (269) | 56.9 (70) | 54.2 (199) | 0.604 | |
Age | Total | M (SD) | 36.2 (12.2) | 37.3 (12.6) | 35.8 (12.1) | 0.466 |
18–34 years | 49.2 (241) | 41.5 (51) | 51.8 (190) | 0.066 | ||
35–49 years | 33.7 (165) | 39.0 (48) | 31.9 (117 | 0.066 | ||
50–65 years | 17.1 (84) | 19.5 (24) | 16.3 (60) | 0.066 | ||
Swiss nationality (% yes) | % (n) | 47.6 (233) | 56.9 (70) | 44.4 (163) | 0.016 | |
Problematic socioeconomic situation (% yes) | % (n) | 65.7 (268) | 67.6 (71) | 65.0 (197) | 0.628 | |
Migration in the last ten years (% yes) | Total | % (n) | 31.1 (124) | 25.5 (24) | 32.9 (100) | 0.017 |
Forced migration | 11.3 (45) | 3.2 (3) | 13.8 (42) | |||
Civil status single (% yes) | % (n) | 56.1 (263) | 54.6 (65) | 56.6 (198) | 0.986 | |
First diagnosis | Depression (F3-D) | % (n) | 29.0 (135) | 31.5 (35) | 28.2 (100) | 0.012 |
Adjustment and anxiety disorder (F4) | 27.5 (128) | 36.9 (41) | 24.5 (87) | |||
Personality disorder (F6) | 21.7 (101) | 14.4 (16) | 23.9 (85) | |||
Co-morbidity with drug and alcohol disorder diagnosis (for all first diagnoses) | % (n) | 11.2 (52) | 5.4 (6) | 13.0 (46) | ||
Co-morbidity with personality disorder diagnosis (for all first diagnoses) | % (n) | 9.2 (43) | 8.1 (9) | 9.6 (34) | ||
Past history of self-harm (self-reported) | None | % (n) | 46.7 (202) | 50.9 (54) | 45.3 (148) | 0.550 |
Between one and three | 32.6 (141) | 31.1 (33) | 33.0 (108) | |||
More than three | 20.8 (90) | 17.9 (19) | 21.7 (71) | |||
Suicidal intent | Clear (%) | % (n) | 50.6 (242) | 49.6 (60) | 51.0 (182) | 0.011 |
Unclear (%) | 25.1 (120) | 17.4 (21) | 27.7 (99) | |||
No suicidal intent (%) | 24.3 (116) | 33.1 (40) | 21.3 (76) | |||
M = mean: SD = standard deviation * Total sample including individuals and their first-recorded attempt, n = 490 † Comparisons between Neuchâtel and Lausanne, tests were performed for each variable |
Affective disorders were the most frequent first diagnosis (29.0%), followed by anxious and adjustment disorders (27.5%) and personality disorders (21.7%) (table 4). Diagnosis differed between sites (p = 0.012), with more personality disorders in Lausanne (23.9% versus 14.4% in Neuchâtel) and more adjustment and anxiety disorders in Neuchâtel (36.9% versus 24.5% in Lausanne). In Neuchâtel, in addition to the first diagnosis, 5.4% of patients suffered from an alcohol or drug disorder as a co-morbidity, while 8.1% suffered from a personality disorder as a secondary diagnosis. In Lausanne, 13.0% of patients also suffered from an alcohol or drug disorder, while 9.6% were affected by a personality disorder.
The majority (53.3%) of patients had a past self-harm history, as 32.6% had reported one to three past episodes and 20.8% more than three episodes (table 4). No difference was found between sites. Suicidal intent was clear for 50.6% of the overall sample, unclear for 25.1% and absent for 24.3%. It differed significantly between sites (χ2 [2] = 9.068, p = 0.011), with Lausanne reporting more incidents of unclear intent (27.7% versus 17.4% in Neuchâtel) and Neuchâtel more incidents with an absence of intent (33.1% versus 21.3% in Lausanne).
Self-poisoning was the most commonly used method (58.2%, Fisher’s exact test, p = 0.006; table 5). The second most represented method was cutting, which involved 13.7% of patients with a similar distribution for both sites. The other two most common methods were jumping from a height (11.4% in Lausanne versus 1.6% in Neuchâtel) and hanging or asphyxiation (9% in Lausanne versus 4.9% in Neuchâtel), for which the prevalence differed significantly (Fisher’s exact test, p = 0.006) across sites. Overall, 11.4% of patients made a serious suicide attempt; no significant inter-sites differences were observed (table 5). A significantly greater proportion of self-poisoning (Fisher’s exact test, p <0.001) involved females (71%) than males (42.5%), while other methods of self-injury were more frequently used by males such as cutting (16.7%) and hanging (13.6%) (table 5). No significant gender differences were observed regarding the proportion of serious suicide attempts, although it was slightly higher in males (13.0% versus 10.1% in females).
Table 5 Method and severity by sites and gender
Total | Neuchâtel | Lausanne | p-value* | |||
---|---|---|---|---|---|---|
Method by site % (n) | 100 (490) | 100 (123) | 100 (367) | 0.006 | ||
Self-poisoning | Total | 58.2 (285) | 65.9 (81) | 55.6 (204) | ||
Medication | 53.1 (260) | 60.2 (74) | 50.7 (186) | |||
Other substance | 5.1 (25) | 5.7 (7) | 4.9 (18) | |||
Self-injury | Total | 38.8 (190) | 30.9 (38) | 41.4 (152) | ||
Cutting | 13.7 (67) | 13.8 (17) | 13.6 (50) | |||
Jumping from a height | 9.0 (44) | 1.6 (2) | 11.4 (42) | |||
Hanging or asphyxiation | 8.0 (39) | 4.9 (6) | 9.0 (33) | |||
Jumping/lying in front of a moving object | 4.7 (23) | 4.1 (5) | 4.9 (18) | |||
Head-banging | 1.4 (7) | 2.4 (3) | 1.1 (4) | |||
Burning and immolation | 1.2 (6) | 2.4 (3) | 0.8 (3) | |||
Drowning | 0.4 (2) | 0.0 (0) | 0.5 (2) | |||
Firearm | 0.2 (1) | 0.8 (1) | 0.0 (0) | |||
Ingestion of a foreign object | 0.2 (1) | 0.2 (1) | 0.0 (0) | |||
Multiple methods | 2.4 (12) | 2.4 (3) | 2.5 (9) | |||
Others | 0.6 (3) | 0.8 (1) | 0.5 (2) | |||
Serious suicide attempt by site % (n) | 11.4 (54) | 12.0 (14) | 11.2 (40) | 0.829 | ||
Total | Female | Male | p-value | |||
Method by gender % (n) | 100 (490) | 100 (269) | 100 (221) | <0.001 | ||
Self-poisoning | Total | 58.2 (285) | 71.0 (191) | 42.5 (94) | ||
Medication | 53.1 (260) | 66.9 (180) | 36.2 (80) | |||
Other substance | 5.1 (25) | 4.1 (11) | 6.3 (14) | |||
Self-injury | Total | 38.8 (190) | 26.1 (70) | 54.5 (120) | ||
Cutting | 13.7 (67) | 11.2 (30) | 16.7 (37) | |||
Jumping from a height | 9.0 (44) | 8.2 (22) | 10.0 (22) | |||
Hanging or asphyxiation | 8.0 (39) | 3.3 (9) | 13.6 (30) | |||
Jumping/lying in front of a moving object | 4.7 (23) | 2.2 (6) | 7.7 (17) | |||
Head-banging | 1.4 (7) | 0.0 (0) | 3.2 (7) | |||
Burning and immolation | 1.2 (6) | 0.4 (1) | 2.3 (5) | |||
Drowning | 0.4 (2) | 0.4 (1) | 0.5 (1) | |||
Firearm | 0.2 (1) | 0.0 (0) | 0.5 (1) | |||
Ingestion of a foreign object | 0.2 (1) | 0.4 (1) | 0.0 (0) | |||
Multiple methods | 2.4 (12) | 2.2 (6) | 2.7 (6) | |||
Others | 0.6 (3) | 0.7 (2) | 0.5 (1) | |||
Serious suicide attempt by gender % (n) | 11.4 (54) | 10.1 (26) | 13.0 (28) | 0.384 |
* Comparisons between Neuchâtel and Lausanne, tests were performed for each variable
We aimed to establish a programme for monitoring self-harm in French-speaking Switzerland and now present its implementation and the first results with adults aged 18–65 in two sites (Lausanne and Neuchâtel).
The first months of monitoring highlighted several important barriers to overcome when implementing such a programme. Specific strategies were required for each barrier and differed between sites. The research coordinator had to work closely with the local coordinators to envisage relevant solutions as well as be highly flexible and present on both sites to increase the efficiency of data collection process. This type of monitoring is indeed time consuming and other similar programmes were shown to be at risk of fading out [18]. Our experience shows that future monitoring should include the sites’ specificities when designing a monitoring programme and avoid a “one size fits all” approach, which is consistent with the WHO’s recommendations for maintaining sustainability over time [6, 7].
Interestingly, the event-related self-harm rate per 100,000 inhabitants differed between the sites, with the rate being much higher in Lausanne (220) than in Neuchâtel (140). The Lausanne University Hospital catchment area is more urban and cosmopolitan than Neuchâtel, and self-harm rates have been shown to be higher in urban [42] and international [21, 29, 43] populations. It also has a relatively young population [44] that is at greater risk for self-harm [13, 17, 18, 21, 23]. Finally, Lausanne is a tertiary university hospital and thus is the reference centre for several prisons outside its catchment areas and for highly complex somatic situations, which could have increased the self-harm rate. Of interest is the fact that the most recent available suicides rates (2014) are very similar in Lausanne (12.9/100,000) and Neuchâtel (13.2/100,000) [45]; thus, Lausanne has a 17/1 self-harm/suicide ratio, while Neuchâtel has a 9.5/1 ratio. This suggests that self-harm and suicide rates are independent of each other. Factors such as urbanisation, indeed, seem to act in different ways for suicide rates than what was just mentioned for self-harm rates [23, 42]; for instance, one recent study showed higher suicide rates in rural and non-urban regions [46]. Comparison with other Swiss and international data on self-harm rates warrant some caution since age ranges and suicidal behaviour definitions varied between studies [6, 10, 12, 47]. In Switzerland, previous data showed a self-harm rate of 105 in Bern (2004–2010) [26] and of 164 in Basel (2003–2006) for a population over age 15 [21]. International data from the WHO/EURO Multicentre Study on Suicidal Behaviour showed the self-harm rate ranging from 46 to 327 for males and from 72 to 542 for females [17], while more recent data from France showed a self-harm rate at 158 in 2012 [19] and at 206 in Ireland in 2016 [15]. Finally, although our monitoring system shares a common definition of self-harm with existing systems in the UK, our self-harm rates were substantially lower than those in Oxford (285 for males and 342 for females), Manchester (460/587) and Leeds (291/374), a finding that deserves further research.
Although females were overrepresented in our sample, the difference was not significant. Conversely, the existing literature provides strong evidence of self-harm being more frequent in females [11, 13, 15, 17–22]. This finding deserves further research because previous data from other cities in Switzerland showed contrasting results; for example, in Bern, the self-harm rate showed no difference between gender [26], unlike in Basel, where the self-harm rate was higher in females [21].
The self-harm rates showed a decrease with age, which is consonant with the higher self-harm rates observed in young people [13, 17, 18, 21, 23]. Interestingly, this rate shows an inverse distribution from the suicide rate in Switzerland, confirming a previous observation that young people are at higher risk for self-harm and lower risk for suicide, with the reverse being true for older people.
In our sample, 65% had financial and economic difficulties. Although we did not identify any data on this exact variable for the general population, this proportion is much higher than the poverty rate in Switzerland, which was 7% in 2015 [48]. Socioeconomic status seems, therefore, to be an important factor for suicidal behaviour, as already studied [49]. Non-Swiss citizens make up 56% of our sample in Lausanne and 43% in Neuchâtel, slightly over the known proportion of foreign citizens in Lausanne (43% [44]) and Neuchâtel (25% [50]). This finding accounts for an increased risk of self-harm among foreigners, a finding also observed in other studies [21, 29, 43].
We found affective disorders to be the most common psychiatric disorders, followed by adjustment/anxiety disorders and personality disorders. A recent systematic review examining psychiatric disorders in self-harm [51] showed mood and depressive disorders to be the most frequent diagnosis clusters. As in other studies [18, 21, 26], more than half of individuals had a prior history of self-harm in our sample. Previous research has established repeated self-harm to be a major risk factor for future self-harm and suicide [2, 5, 52], with a high number of repetitions increasing the risk [53]. Specific interventions should be developed and tested for these groups [18, 54] and more research needs to be conducted to identify, at the time of the first episode, which patients are at greater risk for repeating this behaviour. Finally, our results regarding suicidal intent demonstrated the difficulty for the clinician of evaluating this information: the proportion between unclear suicidal intent and no suicidal intent were significantly different between the two sites. Although this could also be related to inter-rater differences between sites (see limitations), it shows a potential different pattern in the way patients share their suicidal intent with clinicians. This finding should be further explored.
That self-poisoning was the most frequent method found in our study was expected, considering previous findings [15, 21, 26, 47], as was the gender distribution in methods for which self-poisoning was more likely in females than in males and violent methods such as hanging or jumping or lying in front of a moving object were more common among males [19]. As for the major difference observed between the two sites regarding the frequency of jumping from a height, several high bridges exist in Lausanne and fewer in Neuchâtel; this highlights the importance of geographic and urban factors for self-harm. Such factors should be considered in local preventive actions. It must be noted that these differences may also account for a more inclusive recruitment policy in Lausanne; indeed, although inclusion criteria were standardised (see methods), there were some borderline situations that could have been interpreted differently in the two sites. We found no gender distribution in the frequency of serious suicide attempts. Previous data showed suicide completers and serious attempters to share a common profile [55], and we would thus have expected to note more serious suicide attempts in males. For the abovementioned unexpected similar self-harm rates in males and females, this finding warrants further investigation.
We intend to deepen our analyses with results from the newly included sites, which will allow discussion of other age group findings. Ultimately, we aim to sustain our monitoring in order to use it as a surveillance tool and a local guide to specific preventive interventions and recommendations in public healthcare policies, as was done before by targeting specific at-risk populations [29], adapting medical care [38] or formulating empirical and evidence-based recommendations [15, 29, 33]. Working with self-harm rates also allows to locally prevent self-harm, work on destigmatisation and upgrade accessibility to adapted help [35]. This will finally enable us to conduct prospective research on repeaters and to evaluate how the risk of self-harm is associated with different variables (e.g., co-morbidities, past history of self-harm, forced migration history).
As for the majority of existing self-harm monitoring [10–16], our sample was limited to patients admitted to general hospitals. Data were restricted to ages 18–65; younger and older subgroups deserve further attention and will be evaluated in future studies. Selecting French-speaking sites is a way to develop research in an area of Switzerland lacking information on self-harm; for that matter, the monitoring is not representative of the entire country. We did not adjust our self-harm rates by including self-harm in the community [17, 18, 21], considering that this issue should be specifically investigated [56–58]. In relation to data collection, as the data were based on information gathered through clinical evaluation, the validity of the diagnosis information is not ideal and was not formally tested for inter-rater reliability, nor was the evaluation of suicidal intent. This reality accounts for the fact that for several items, missing data were frequent. Some self-harm situations may not have been reported by the emergency physician in charge, and we did not account for people who eventually died by suicide after a recorded attempt.
Although our results are globally consistent with previous research on self-harm (self-harm rates, gender and age repartition, selected method by gender), we showed substantial and interesting differences between two sites in French-speaking Switzerland on self-harm rates, suicidal intent and methods of self-harm. Those differences highlight the importance of developing self-harm monitoring in different places and of not relying solely on suicide rates in order to prevent self-harm and suicide with strategies adapted to the specificities of the local population. We believe that such a system, one that relies on the treating physician or nurse, is realistic and feasible at moderate costs, and we hope that other monitoring programmes in different countries will be developed on this basis.
We wish to thank Esther Walter (Swiss Federal Office of Public Health), Julian Gree (data manager) for building the database infrastructure, the interns and emergency staff for collecting information, and the administrative staff for assistance.
The French-speaking Swiss programme for monitoring self-harm was commissioned and funded by the Swiss Federal Office of Public Health. Cantonal ethic committees on human research (CER-VD) approved the project (no. 2016-01489). The project has been undertaken in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments.
No potential conflict of interest relevant to this article was reported.
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The French-speaking Swiss programme for monitoring self-harm was commissioned and funded by the Swiss Federal Office of Public Health. Cantonal ethic committees on human research (CER-VD) approved the project (no. 2016-01489). The project has been undertaken in accordance with the ethical standards laid down in the 1964 Declaration of Helsinki and its later amendments.
No potential conflict of interest relevant to this article was reported.