#cyberbullying | #cyberbully | Deinstitutionalization from the perspective of community-dwelling adults with a severe mental illness in Amsterdam: a cohort study protocol | BMC Public Health


Study design

The Deinstitutionalization Amsterdam Client-study is a cohort study that started in December 2017. The study is planned to include approximately 800 adults with an SMI. The study population is designed to be representative for the target population of community-dwelling adults with an SMI at the city level, the level of the city-districts and the level of the city’s quarters (i.e. combined neighborhoods). To acquire a better insight into developments in the functioning and recovery of community-dwelling adults with an SMI and their associated needs for care/support, a comprehensive set of measurement instruments will be administered twice, with a two-year time interval, by means of semi-structured interviews. Also, the occurrence of adverse life-events during follow-up will be associated with developments in people’s functioning (i.e. social recovery and societal participation) over the course of time. Additionally, information about the care processes during that time will be retrieved from participants’ patient files.

Setting

The study is situated in Amsterdam, the Netherlands. Internationally, the prevalence of SMI in the general population is estimated to vary between 0.5–2.9% according to, amongst others, population density, age distribution, social economic indicators, the number of (ethnic) minorities and the level of social cohesion [34,35,36,37,38]. Concerning specifically Amsterdam, reliable figures about the number of inhabitants with an SMI are lacking. The most recent 12 month-prevalence estimates vary between 1.6% [31] and 2.0% [30, 39], equaling an SMI population of between 7923 and 9827 adults within the municipality, of whom approximately 90% are considered community-dwelling and 10% to reside in long-term clinical settings [40].

The city of Amsterdam is subdivided into 8 administrative districts of which 7 residential districts and 1 industrial/harbor district. Together, the residential districts consist of 476 distinct neighborhoods, conglomerated into 99 quarters (or combined neighborhoods). Participants will be sampled and recruited at the level of quarters. As such, the resulting sample is designed to be representative at the level of the city, the city-districts and the quarters. From each of the residential districts, the two largest quarters are selected (based on population size, ranging from 12,946 to 26,787 registered residents). Together, these 14 quarters comprise 104 neighborhoods, 4437 unique postal codes and 237,157 inhabitants [38]. Within these quarters, prevalence estimates of SMI range between .02 and 3.08% [36] and an average SMI prevalence of 1.6% of the adult population of these quarters is assumed.

Participants

Participants will be recruited on the basis of three inclusion criteria: age, SMI and location. The age-criterion is chosen to align the study population with the patient populations of mental health care providers and care system for adults. Although deinstitutionalization also applies to minors (< 18) and the elderly (65+), these populations are serviced by care providers in other care networks: youth [41] services and elderly [41] care, respectively. Integration of the care systems for these different age-groups is, at the time of this writing, still in its infancy. The scope of the current study is therefore limited to adults only (age 18–65).

The SMI criteria as postulated by the ‘Dutch consensus group EPA’ [31] (EPA is the abbreviation of Ernstige Pychiatrische Aandoeningen which translates to SMI) are applied. These criteria are as follows:

  • there has to be a psychiatric disorder that requires care/treatment;

  • the disorder is directly related to severely impaired social/societal functioning;
  • the functioning impairments are both cause and effect of the psychiatric disorder at play;
  • the disorder is not transient in nature (i.e., it is structural or chronic for at least 2 years);
  • coordinated care from professional care providers, embedded in local health care networks, is indicated to perform and effectuate the treatment plan for the psychiatric disorder.

This SMI-definition matches international SMI-criteria to a large extent [35, 36, 42], but not completely. Although a consensual definition is SMI is lacking, SMI is commonly understood as a function of three “D’s”, diagnosis, disability and duration [43, 44]. In contrast, the definition used in the current study focuses on the functional impairments and its effects on daily activities for which people with SMI need care and support. This results in a more inclusive definition of SMI in which no diagnosis is a priori excluded or included. More specifically, certain psychiatric symptoms, such as those associated with schizophrenia spectrum disorders (e.g., delusions and hallucinations), are considered to belong exclusively to the target population of people with an SMI. Other symptoms have been demonstrated to occur at different rates among people with an SMI. For example, poly drug use, personality disorders and pervasive developmental disorders are prevalent symptoms among people with an SMI as well. Mood and anxiety disorders and alcohol abuse, on the other hand, are relatively infrequent [34]. In addition, people with an intellectual disability or a physical impairment and people with dementia may also meet the aforementioned SMI-criteria. However, they do so only if a normative need for mental health care regarding psychiatric comorbidity is established.

Exclusion criteria

The following exclusion criteria will be applied:

  • people with an intellectual and/or physical disability who are not in need of mental health care for co-morbid psychiatric disorders;

  • people who suffer from dementia and who are not in need of mental health care for co-morbid psychiatric disorders;
  • people who meet all inclusion criteria but whose formal postal code of their home address matches those of long-term clinical locations of mental health care providers (i.e. not community-dwelling patients);
  • people whose proficiency in either Dutch or English is insufficient to be interviewed, and people who cannot be approached due to other mental health or social problems.

Within the larger population of community-dwelling adults with an SMI, the study differentiates between three cohorts. First, the ‘in-care cohort’ consists of adults with an SMI who receive ambulatory mental health care. Second, the ‘not-in-care cohort’ is formed by adults with an SMI who do not receive specialized mental health care from a formal mental health care provider yet may receive social welfare/support. Third, the ‘LZA-cohort’ are participants of a former longitudinal cross-sectional study into long-term care-dependent psychiatric patients in Amsterdam, carried out in 2005 and 2012 by Amsterdam’s largest mental health care providers Arkin and GGZ inGeest (in Dutch: the Langdurige zorgafhankelijkenstudie or LZA-study). This study focused on the psychological and social functioning and quality of life of people with a chronic SMI [32, 45]. Participants of the LZA-study who provided written consent to be re-approached were eligible to participate in the current study. The reason to include this LZA-cohort is that the current study utilizes a similar set of instruments which enables a third measurement for the LZA-study, providing insight in long-term (2005–2020) developments of this subgroup within the population of people with SMI.

With respect to the in-care and not-in-care cohorts, their relative proportions within the total SMI-population in Amsterdam are approximately 76 and 24%, respectively [30]. Furthermore, around 90% of both groups lives independently (i.e. community dwelling). In-care participants will be recruited at the two largest mental health care providers in Amsterdam, Arkin and GGZ inGeest. Together, these organizations are estimated to provide care/treatment to two thirds of the total in-care population of people with an SMI in Amsterdam [39]. The remaining 33% of the in-care SMI-population, those who receive mental health care from one of several other (small) providers, will not be included as we expect to obtain a representative sample of the in-care population from the selected service providers. Moreover, recruiting participants at numerous care providers would require a disproportional effort and is therefore considered unfeasible. The ‘not-in-care’ participants will be recruited at a variety of social welfare and social support organizations in Amsterdam, including organizations that target the homeless (e.g., HVO-Querido, Leger des Heils, Cordaan, Volksbond). In this group, the SMI-criteria will be assessed during the interview.

As such, on the basis of 1) the assumed average SMI prevalence of 1.6% among the adult population of the selected quarters (237,157 * 1,6% = 3795 people), and 2) the proportion of adults with an SMI who are registered as a mental health care patient (76%, n = 2884), and 3) of whom at one of the two main mental health care providers in the city (66%, n = 1903) and 4) the proportion within this group who live independently (i.e. community dwelling) (90%), the in-care cohort is estimated to consist of 1739 adults with an SMI. On the basis of the aforementioned proportions, the not-in-care cohort is estimated to consist of 820 people. The LZA-cohort potentially consists of 157 former LZA-participants who gave permission to be re-approached. Based on expected response rates of 33% in the in-care cohort, 20% in the not-in-care cohort and 50% in the LZA-cohort, the study sample will consist of approximately 800 participants. Figure 1 presents a flowchart depicting the composition of the study population.

Fig. 1

Flowchart of the composition of the target population from which the study population will be sampled

In-care and not-in-care participants were recruited consecutively, to avoid duplicate recruitment attempts. The recruitment period of the in-care group, and the LZA-cohort in parallel, was December 2017–January 2021. Recruitment of participants in the not-in-care group was executed between January 2021 and January 2022. At baseline, participants were interviewed about their functioning with respect to important aspects of life (see instruments) by a pool of trained interviewers. All participants will receive a financial compensation of €15, for each interview. Interview data will be matched with information retrieved from patient files that concerns important aspects of the care process. Follow-up interviews will be held two years after the first interview and will consist of the same set of instruments as administered during interview 1. The recruitment period of follow-up interviews of the in-care cohort and the LZA-cohort will start in December 2019 to end in June 2022. Not-in-care participants will be approached to participate in interview 2 between January and September 2023.

Recruitment

Recruitment in-care cohort at Arkin

Within Arkin, several teams are selected from which patients with an SMI will be asked to participate. The teams included are Flexible Assertive Community Treatment teams (FACT), basic mental health care teams (BMHC) with a focus on more stable patients with a chronic mental health problem, forensic FACT-teams of the Forensic Ambulatory Care (FAC) and “Jellinek” Outreaching Teams (JOT) for substance dependency [46]. FACT-teams provide multidisciplinary ambulatory care for the treatment and guidance of people with an SMI. BMHC-teams provide general ambulatory treatment that involves long-term guidance with respect to relapse-prevention, monitoring and care-coordination for stabilized and low-complexity chronic psychiatric patients at low risk of psychiatric crisis. The target population of FAC is primarily a forensic population. FAC-teams offer both voluntary and involuntary treatment. FAC-patients are typically diagnosed with psychiatric, addiction and/or personality disorder(s) and multi-problem situations (that include social and judicial problems). FAC-teams provide ambulatory outreaching care and outpatient treatment. JOT-teams target people with functioning impairments that result from severe addiction problems and (often) comorbid disorders. JOT provides ambulatory multidisciplinary care.

Participants are selected at their location of care. Primary caregivers (i.e. case managers or psychiatrists) will assess and advise about eligibility for participation and a preferred approach-strategy. When direct approach is advised, a research assistant will contact these patients to inform them about the study and to invite them for participation. Caregivers that prefer to first inform their patients themselves will hand out a folder and inform their patient during the next consult. Only patients who wish to participate will be contacted by a research assistant to schedule an interview appointment. Patients who temporarily meet an exclusion criterion will be re-approached at a more suitable time, as advised by their caregiver. Interviews will be conducted at the location of care, an interview cubicle at the Public Health Service Amsterdam or, if possible, at home. Informed consent is given prior to the start of the interview. In case of no-shows without an explicit wish to withdraw from the study, patients will be approached for a new appointment. In case of no-show due to sickness or mental instability, a new appointment will be scheduled several weeks into the future.

Recruitment in-care cohort at GGZ inGeest

GGZ inGeest will recruit participants at several of their mental health care departments. These are selected on the basis of their distinct care facilities and specific types of treatments that are commonly provided to people with an SMI. Patients from regular FACT-teams will be selected as potential participants. Additionally, participants will be selected at mental health care outpatient clinics whose patients are either stabilized with respect to medication use and crisis management or who receive specialized care for distinct psychiatric diagnoses (e.g., bipolar disorder).

After the research assistant has given an oral presentation of the study, primary caregivers will be asked to select and recruit patients eligible to participate. Patients who wish to participate can inform their caregiver and will be approached by telephone by a research assistant. Further explanation of participating in the study will be provided by sending an information brochure by mail. Then, participants will be contacted to schedule an interview appointment.

Recruitment not-in-care cohort

Not-in-care participants will be recruited at a variety of front-office, social support and primary care services. These include homeless shelter services (n = 3), financial and administrative support services (n = 1), social care services (n = 2), and integral community support teams (n = 7). Due to uncertainty about meeting the first three SMI criteria, professionals from these services will be asked to select participants from their caseload based on client histories and their professional assessment with regard to meeting specifically the last SMI criterion of the study (i.e. coordinated care from professional care providers, embedded in local health care networks, is indicated to perform and effectuate the treatment plan for the assumed psychiatric disorder). A definitive validation of meeting the inclusion criteria with respect to SMI will be made on the basis of their responses on a selection of items concerning psychiatric symptoms in the questionnaire, current levels of general functioning and mental health treatment history. As such, it is possible that people who participated in interview 1 may still be excluded from the final study sample (they will receive an incentive for their time and effort).

Recruitment LZA-cohort

Recruitment of former participants from the LZA-cohort will go in parallel to recruiting the in-care cohort at Arkin and GGZ inGeest, with the exception that the location criterion is not applied to this group. LZA-participants who are still in care at Arkin or GGZ inGeest will be added to the larger in-care cohort and no separate recruitment procedure is formulated. LZA-participants who are no longer in care at Arkin or GGZ inGeest will not be re-approached. LZA-participants who live in a clinical setting for a prolonged period of time will be approached by the fieldwork coordinator of the initial LZA-study. A more detailed description of the recruitment protocol of the LZA-study can be found in earlier publications [32, 45].

Instruments and variables

Interview data

The current study focuses on the functioning of people with an SMI in important life-domains on the basis of five main themes: 1) sociodemographic characteristics, 2) social functioning, 3) safety and discrimination, 4) substance use and life events, 5) subjective appraisal and recovery and 6) health. Each of these themes is addressed by distinct outcomes, that will be assessed with validated instruments. The selection of instruments included matches the instrumentation of the LZA-study to a large extent, thereby enabling a third wave of the LZA study. Table 1 present an overview of all instruments included in the study protocol.

Table 1 Overview of the instruments included in the questionnaire

Sociodemographic variables

Sociodemographic variables included are age, gender, cultural-ethnic background, education status, living situation (e.g., alone, with a spouse and/or children, in a group, with parents), type of housing, work/education/daytime activities (i.e. societal participation) and family situation.Footnote 1

Social functioning: social network

The Social Network Questionnaire (SNQ) [47] will be used to determine the size and composition of one’s social network. The 14-item instrument covers several categories of social contacts (e.g., family, work, education) and counts the total number of social contacts reported and the number of concrete social contacts in the preceding month. The instrument distinguishes between one’s primary and secondary social network. The SNQ has been tested for validity and reliability (alpha = .82) [48] in determining network size and frequency of contacts.

Social functioning: social support

The Inventory for Social Support (ISS) is a self-report instrument that measures social support [49]. More specifically, the 12-item instrument measures subjectively experienced support received from one’s most important social contact. The ISS distinguishes between emotional and practical support. Psychometric properties of the ISS are satisfactory, as demonstrated by its internal consistency and convergent and divergent validity [50].

Social functioning: loneliness

Feelings of loneliness will be measured with the short version of the loneliness-scale [51, 52]. The instrument measures the extent to which one’s social contacts satisfy one’s need for social contact/interactions. Participants indicate the extent to which they agree with 6 statements (e.g., I miss having people around me, There are plenty of people I can rely on when I have problems) with a score ranging from 1 = No! to 3 = sort or less to 5 = Yes!. The instrument includes a total loneliness score and two subscales: social loneliness and emotional loneliness. The loneliness scale and its’ subscales have been shown to be reliable and valid in several countries [51] and among several ethnic target populations [53].

Social functioning: social exclusion

The Social Exclusion Index for Health Surveys (SEI-HS) is a 19-item instrument [54,55,56] designed to measure social exclusion according to the following subdomains: social participation (e.g., I feel isolated from other people), material deprivation (e.g., Does your household have enough money to visit family or friends?), access to basic social rights (e.g., How satisfied or dissatisfied are you with the quality of your home?), normative social integration (e.g., I occasionally do something for my neighbors) and perceived social exclusion (e.g., the feeling of being isolated from society). A person is socially excluded in case of accumulation of disadvantages in four subdomains. The SEI-HS has been demonstrated to have adequate internal consistency for the general index and satisfactory construct validity [57].

Safety & discrimination: subjective safety and victimization

Victimization will be measured with the Integral Safety Monitor (ISM) [58]. The instrument is used in the context of a yearly national monitor study of the Dutch Ministry of Safety and Justice, performed by Dutch municipalities. The ISM is a self-report instrument that includes the assessment of neighborhood livability, subjective safety and victimization of 15 different types of crimes among which violent crimes (e.g., battery/assault, sexual violence), nonviolent crimes (e.g., theft, home burglary) and cybercrimes (e.g., identity theft, cyber bullying). The IVM has, to our knowledge, not been tested for its psychometric properties. However, it is considered an adequate and well-structured instrument to gather self-reported information about victimization [58]. Self-report is considered to be more reliable and accurate than using information from objective registries that tend to underreport victimization (e.g., police, public prosecutor) [59].

Safety & discrimination: discrimination

The Dutch translation of the scale for daily discrimination of the National Survey of “Midlife Development in the United States” [60, 61] will be used to assess personal experiences with discrimination. The scale includes 7 types of discrimination, that are assessed with 9 Likert-type items (e.g., How often do you experience being treated less politely than other people) with answer categories ranging from 1 = often to 4 = never. Levels of daily discrimination are measured according to a total score of the recoded 9 items with higher scores indicating higher perceived discrimination. The internal consistency of the discrimination scale is high (alpha = .97) [61].

Safety & discrimination: (self)stigmatization

The stigma scale [62] is a 28-item self-report instrument for the measurement of (self) stigmatization and perceived discrimination among people with a mental illness. The scale has a three-factor structure including discrimination, disclosure and positive aspects of mental illness. Items (e.g., I have been discriminated against in education because of my mental health problems, I do not mind people in my neighborhood knowing I have had mental health problems, People have avoided me because of my mental health problems) are rated on a five-point Likert scale ranging from 0 = strongly disagree to 4 = strongly agree. Higher scores indicate higher perceived stigma. The S-scale has a test-retest reliability of .71 and good internal consistency (Cronbach’s α = .87) [62]. Content validity and construct validity are sufficient [63].

Substance use & life events: substance use

The Dutch version of the Measurement in the Addiction for Triage and Evaluation (MATE) [64] will be used to assess substance use [65]. Substances included are alcohol, nicotine, cannabis, opioids, cocaine, stimulants, ecstasy/MDMA, GHB, other hallucinogens, gambling and sedatives. Items assess the number of days on which these substances have been used in the past 30 days, and amount of use on a typical day of use. The MATE is a structured instrument that is scored on the basis of an interview with the patient. The MATE has been demonstrated to be reliable and valid, however more convincingly for Europeans [64].
In addition to the MATE, the Alcohol Use Disorder Identification Test (AUDIT) [66] and the Drug Use Disorder Identification Test (DUDIT) [67] will be used to assess alcohol and drug dependency, respectively. The AUDIT (10 items) and DUDIT (11 items) are screening instruments that assesses frequency/quantity of intake, hazardous alcohol/drug use and dependency symptoms. Scores on the AUDIT and DUDIT range from 0 to 40/44 and for both instruments the cut-off score of 10 will be used to identify alcohol and drug dependency, respectively. Psychometric properties of both instruments are satisfactory [68].

Substance use & life events: adverse life-events

Based on Brugha’s list of threatening experiences (LTE) [69], that includes 12 distinct negative life-events, the life-time and past year occurrence of negative life-events will be assessed with yes/no items. Items are, for example, having been severely ill or a victim of violence, the death of a parent, sibling or child, and having been fired. Besides the separate items, a sum score will be computed with higher scores indicating higher exposure to negative life-events. The LTE is a valid and reliable measure with high test-retest reliability, good agreement with informant information and low internal consistency [70, 71].

Subjective appraisal & recovery: quality of life

The Manchester Short Assessment of Quality of Life (MANSA-16) [72] will be administered to assess Quality of life (QoL). With twelve 7-point Likert-type items and four yes/no items, participants can indicate their level of satisfaction with respect to several life-domains, including social contact, psychological wellbeing and housing. The MANSA has been demonstrated to have good internal consistency [73]. Higher scores indicate higher QoL.

Subjective appraisal & recovery: symptomatic, somatic and personal recovery

The Integrale Herstel Schaal (IHS) [74] will be used to assess recovery. This 13-item instrument is designed to assess recovery among people with an SMI and is suited for the purpose of Routine Outcome Monitoring (ROM). The IHS is a multidimensional instrument that matches the definition of recovery from the patient-perspective and includes the assessment of symptomatic, somatic, social/societal and personal recovery. To our knowledge, the IHS in itself has not been tested for its psychometric properties as the IHS is an assembly of items from existing ROM-instruments, among which the functional remission scale [75], the Health of the Nations Outcome Scales (HoNOS) [75] and the INSPIRE [76]. To be able to compute IHS total scores, HoNOS items retrieved from patient files will be used in addition to the items included in the interview.

Subjective appraisal & recovery: personal recovery

The Dutch national recovery scale (in Dutch “Nationale Herstelschaal”) [77], an adaptation of the Questionnaire about the Process of Recovery (QPR) [78], will be used to assess specifically personal recovery. This instrument measures personal recovery on the basis of 26 Likert-type items ranging from 1 = strongly disagree to 5 = strongly agree. Examples of items are I feel good about myself, My life has a purpose, I can manage to actively engage life and I have trust in others. A total score can be computed with a maximum of 4 missing answers and scores range from 26 to 100. Higher scores indicate higher personal recovery. The NHS has been shown to be a user-friendly, reliable and valid instrument [77].

Health: physical health

With respect to physical health, both general perceived health (the extent to which people suffer from physical complaints) and physical limitations in daily functioning will be assessed using two subscales of the RAND SF-36 Health Survey [79]. The subscale general health measures self-perceived health, ranging from 1 = excellent to 5 = bad. The subscale physical functioning measures the level of limitations in daily functioning using 10-items (e.g., lifting groceries, climbing a few stairs) with score categories 1 = severely limited and 3 = not limited. The subscale physical functioning has an internal consistency of Cronbach’s α = .92, and good test-retest reliability after 2 (r = .82) and 6 months (r = .72), respectively. The sensitivity to change of the general perceived health subscale is satisfactory and it has good convergent validity with other scales. The psychometric properties are sufficient [80].

Health: perceived needs for care

The Camberwell Assessment of Need Short Appraisal Schedule (CANSAS) [81], a short version of the Camberwell Assessment of Need (CAN) [82], is used to assess need for care and support. The CANSAS consists of 25 items that concern care needs and care reception in 25 distinct life-domains (e.g., housing, intimate (partner) relations, psychological wellbeing, finances). For each domain, participants indicate if they have a need for care and the extent to which the need is provided for. Each of the domains can be scored with 0 = no need, 1 = met need for care and 2 = unmet need for care. Additionally, for needs for care that are met, participants can indicate if care/support is provided by formal and/or informal care providers. Psychometric properties of the CANSAS were demonstrated to be satisfactory concerning, amongst others, test-retest reliability and interrater reliability [81, 83].

Health: psychiatric symptomatology (symptom severity and psychiatric complaints)

The 24-item version of the Brief Psychiatric Rating Scale (BPRS-E) [84,85,86,87] will be administered to assess psychopathology severity (and is used to validate the inclusion of participants in the not-in-care group based on the SMI-criteria). In this version of the BPRS [88] 14 items are administered during the interview and 10 are scored by the interviewer after a finished interview. Each item is scored on an anchored 7-point scale varying from 1 = not reported/not observed to 4 = moderate and 7 = very severe. Scores indicate the presence and severity of psychiatric symptoms observed during the interview or reported by the participant with scores 2–3 indicating non-pathological intensity and scores 4–7 indicating pathological intensity of the symptom at hand. Besides the calculation of a total BPRS-score, the following subscales can be calculated: positive symptoms, negative symptoms, depression and anxiety, and disorganization. The BPRS and its subscales are suited for clinical and epidemiological purposes, sensitive for change [89, 90] and overall good psychometric properties of the BPRS have been demonstrated [91].

Administrative data

On the basis of informed consent, administrative data from all participants will be retrieved from their patient and/or client files at either Arkin, GGZ inGeest and/or the service providers where “not-in-care” participants will be recruited. These data concern:

  • Assessments of general functioning, routinely assessed by mental health services with the 12-item Health of the Nations Outcome Scale (HoNOS) [75]. The HoNOS was developed specifically for the simple, reliable and valid routine assessment of the psychological and social functioning of people with a psychiatric disorder. The HoNOS proved to be sensitive to change. The 12-item HoNOS consists of the subscales behavior problems, psychological and somatic limitations, symptomatology and social problems. HoNOS scores will be considered only if they were obtained 6 months before or after the date of the interview.

  • Type and date of crisis-interventions including mental health crisis intervention by Acute care service of the mental health providers as well as the interventions by the Public Health Service Amsterdam [92]; evictions from (social) housing as registered by the social housing providers and the municipal residence registration; compulsory house cleaning and disinfections executed by the PHS and police contacts as either victim or suspect as registered by the police department.
  • health care related patient data from Arkin and GGZ inGeest with respect to psychiatric diagnoses, therapy compliance and contacts with other care providers;
  • administrative data about the care/support process from other social support/care providers involved, as self-reported by participants;
  • registry data from municipal services (e.g., Amsterdam’s social service (in Dutch: “Werk, Participatie en Inkomen”), the care and nuisance hotline (in Dutch: “Meldpunt zorg en woonoverlast”).

Primary study outcomes

The study has three primary outcome measures: recovery, societal participation, and quality of life. With respect to recovery, the total score of the National Recovery Scale [77] will be used. Concerning societal participation, two separate indicators will be involved: 1) having formal work/daytime activities (yes/no) and 2) the total score of the Social Exclusion Index for Health Surveys (SEI-HS) [55]. Last, quality of life will be operationalized according to the total score of the MANSA-16 [72].

Bias

Some types of bias will need to be taken into account when interpreting the results.

We set out to include at least 30% of the population with an SMI living within the selected quarters in the city of Amsterdam, recruited from the two main mental health service providers and several primary care- and social support services. Both the selection of quarters and the recruitment method, can introduce selection bias. Although we only include about 8% of the estimated total SMI-population in Amsterdam, we assume that in spreading the selected quarters over the seven residential city districts and recruiting within the two most populated quarters within those districts, we include a representative sample of the SMI-population in Amsterdam. In addition, it is unlikely that the population in other (smaller) quarters differs systemically from the population in the selected quarters on the background- and outcome measures of this study: social-economical and background characteristics of the general population do not vary widely within quarters (in contrast to variance between quarters). As the SMI-population moves within the same (social) housing pool as the general population, selection bias due to sampling in specific quarters is expected to be limited.

Statistical methods

All cross-sectional socio-demographic data from both baseline and follow-up measurements will be reported in terms of percentages, means with standard deviations, and quartiles. In addition, all study measures (from the instruments administered and from the registry data) will be analyzed descriptively to provide estimates of the relevant proportions within our study population with respect to these variables as (partial) answers to research questions 2, 4 and 5.

In addition, to provide information on the association between experienced need, and the primary outcome variables (research question 1), data collected at baseline will be analyzed using multivariate regression with recovery, societal participation and quality of life as separate dependent variables and total scores on the CANSAS (i.e. number of unmet needs for care), discrimination scale, stigma scale and victimization as independent (predictor) variables. Any potential mediating effects on the associations between predictors and outcomes variables will be investigated by adding age, sex, psychiatric symptoms (BPRS-E), harmful/dependent alcohol and/or drug use (AUDIT and DUDIT respectively), physical health (RAND SF-36) and city-districts as covariates in these analyses.

To answer research question 2, relationships between the outcome measures and distinct CANSAS items, registry data concerning the care process (i.e. treatment compliance, therapeutic alliance, frequency and timeliness of care consults and self-reported support for social problems) from mental health institutions and support/welfare organizations will mainly be reported in terms of percentages and, for obvious comparisons between groups, using regression models and chi-squared tests. Their associated proportion of variance explained Nagelkerke’s R2, Phi for 2 × 2 tables and Cramer’s V for larger than 2 × 2 tables will be reported. Phi and Cramer’s V will be interpreted as indicating no or very weak (> 0), weak (>.05), moderate (>.10), strong (>.15) or very strong (>.25) association between variables [93]. Eta-squared and Cohen’s D will be interpreted as very small (0–.19), small (.20–. 49), moderate (.50–.79), large (.80–1.20), very large (1.20–1.99) or huge (2.0) [94].

Research question 3 will be analyzed using data from the baseline and follow-up measurement by means of generalized linear mixed models with repeated measurements of recovery, quality of life and societal participation as dependent variables. The time between both measures will be included as a within-subjects factor. The same set of predictor variables as mentioned above will be treated as time-dependent independent variables. Additionally, the total score on Brugha’s life-events questionnaire will be included as a potential mediator to assess the effect of having experienced adverse life-events in the time period between baseline and follow-up on the associations between predictor and outcome variables. All variables will be checked for potential outliers. Missing values will be dealt with appropriately. Participants with > 80% missing values on all items will be deleted from the final dataset. For most measures, descriptive analyses will be carried out and the proportion of missing values will be reported for each variable of interest. In subsequent statistical analyses, values missing at (completely) random (i.e. MAR and MCAR) will be deleted pair wise. Values that are not missing at random (NMAR) will be imputed with either the mean, median or using multiple imputation, whichever is most appropriate. Concerning outcome measures that are a sum score of items, instructions from the instrument developers will be followed (e.g., impute missing values with the mean value of the non-missing items and calculate a sum score only if < 10% of items are missing).



Source link