Optimising an Online Self-help Program for Coping With the Loss of a Spouse

BACKGROUND AND RATIONALE

The death of a spouse is a frequent and very stressful critical life event in later life. The loss of a partner involves the adaptation of daily routines which can be even more challenging when social, physical, and financial resources decline in later life. Grief and psychological distress after the loss of a spouse are normative reactions. For most people, grief intensity weakens to a manageable degree within several weeks or months. However, some individuals are less able to cope with bereavement and show symptoms of disturbed or prolonged grief or adaptation problems.

To support coping with the loss of a significant person, the Task model identifies four tasks of mourning, namely accepting the reality of the loss, experiencing the pain of grief, adjusting to an environment without the deceased person, and withdrawing emotional energy and reinvesting it in another relationship. Moreover, the dual-process model of coping with bereavement posits that a dynamic coping process oscillating between loss-oriented tasks such as grief work and restoration-oriented tasks such as attending to life changes is essential for adjustment.

Based in these two models, Brodbeck and colleagues developed LIVIA, a text-based self-help online program to support the loss of the spouse, which has proved its efficacy for mourning older adults from a general population. LIVIA is rooted in cognitive behavioural therapy, including the most relevant treatment elements to support the mourning process: exposure, cognitive reappraisal, integration, and restoration as well as self-care and social reengagement treatment components.

LIVIA confirmed that the intervention is also efficacious for milder grief symptoms. Compared to the control group, the intervention resulted in significant reductions in grief (d = 0.81), depression (d = 0.59), psychopathological distress (d = 0.39) (primary outcomes), embitterment (d = 0.37), loneliness (d = 0.37) and an increase in life satisfaction (d = -0.41) (secondary outcomes). These gains were maintained over three months. Improvements were similar among participants with low, medium, or high levels of grief at baseline. Therefore, LIVIA provides a promising basis for the development of a more sophisticated and attractive intervention with a more inclusive target group, e.g., mourners of all ages who lost their spouse within the previous six months, while still seeking help for coping with the loss.

Apart from extending the target population of the intervention, SOLENA also aims to examine whether the efficacy of LIVIA can be increased by providing a self-tailored version, in which the users can chose the content that is relevant for them and that best fits their current needs.

MAIN HYPOTHESES

Primary outcome: Grief

1. Efficacy of SOLENA: It is hypothesized that SOLENA will decrease grief significantly compared to the waiting list control group.
2. Stability of the effects: It is hypothesized that SOLENA leads to stable effects on grief across 10 weeks.
3. Comparison of the two active arms: When assessing the presentation format of SOLENA, it is hypothesized that self-tailored arm will lead to higher decrease of grief than the standardised arm. Secondary outcomes: Depression symptoms and perceived loneliness
4. Efficacy of SOLENA: It is hypothesized that SOLENA will decrease depression symptoms and perceived loneliness significantly compared to the waiting list control or treatment as usual group.
5. Stability of the effects: It is hypothesized that SOLENA leads to stable effects on depression symptoms and loneliness across 10 weeks.
6. Comparison of the two active arms: When assessing the presentation format of SOLENA, it is hypothesized that self-tailored arm will lead to higher depression symptoms and loneliness than the standardised arm (superiority hypothesis).

RECRUITMENT AND PROCEDURE

Recruitment of participants will be conducted via newspaper articles, social media, internet forums, and personal contacts to healthcare workers and churches. Potential participants will find a description of the study and the intervention on the project website, from where they can register at the study. All potential participants can contact the study management to ask questions or clear eventual doubts about the study. This presentation is compiled in accordance with the general guidelines for clinical trials published by the Swiss Ethics Committees on research involving humans for the creation of an informed consent form (ICF) for information transfer.

After receiving adequate and sufficient information about the study, the participants will declare consent by signing the ICF. All participants must confirm to have read this information before being allowed to participate in the study.

After sending back the signed informed consent, participants will be invited to fill out the baseline measures on REDCap and take part in a short telephone call for screening the inclusion and exclusion criteria.

Participants will be randomised to one of the three study arms (fixed-standardized, self-tailored or waiting list control group) and will receive the participant code to connect their data with study condition, ensuring confidentiality and privacy.

For 10 weeks, starting at t0, participants will be asked to use the text-based program, SOLENA, to support their grief process and to complete the working alliance (goal \& task), change mechanisms measures, and the self-check mood monitoring.

At week 10 (t1, post-intervention), participants of the active arms will be asked to complete the primary and secondary measures. At this moment, the waiting-list control group starts using SOLENA and complete baseline measures.

At week 20 (t2, follow-up), participants of the active arms will be asked to complete primary and secondary outcome measures to assess stability of program's effects. Also at this time, participants in the waiting list control group will complete post-intervention measures.

At week 30 (t3), participants in the waiting list control group will complete follow-up measures.

STATISTICAL ANALYSES PLAN

Statistical analyses

Analyses will be conducted according to the intention-to-treat paradigm. Linear mixed-models, which will be used in this study, allow a different number of measurement points per participants and are thus less sensitive to missing data. Time will be included (pre vs post intervention measures and post intervention vs follow-up measures), group (self-tailored and standardised vs. waiting list control condition) and interaction terms as predictors of the outcome variables. Cohens d will be calculated as effect size for all observed outcome variables. To analyse the longitudinal interplay of predictor and mediator variables, path analyses will be conducted. Analyses will be conducted in SPSS, R and Mplus. Any deviation from the original statistical plan will be described and justified in the final trial report. There are no statistical stopping rules in this trial.

SAMPLE SIZE CALCULATIONS

The study is mainly powered for the efficacy and stability hypotheses, i.e., the main and interaction effects of the active conditions compared to the waiting list control on the reduction of grief, depression symptoms, and loneliness. The sample size needed was obtained conducting a power analysis with a probability level of .05 and a power of 0.80 with G*Power based on the results of the evaluation of LIVIA, i.e., large to moderate effects.

For the comparison of SOLENA and a waiting list condition, it is expected a large effect size of d > .80 or f > .4. For the comparison of the standardised and the self-tailored arms, it is expected a small to moderate effect between f = .25 and .15 in favour of the self-tailored arm. Figure 4 presents the power analyses for a repeated measures ANOVA with a within-between interaction for three groups.

A minimum of 85 participants will be included, with an allocation ratio of 35:35:15 for the two active conditions and the waiting list control group. There is no statistical criterion for terminating the trial as more than 85 participants allow more sophisticated moderator analyses for example regarding the time since the loss.

Data collection and analysis

Data are assessed using online questionnaires programmed in REDCap. Data integrity is enforced through a variety of mechanisms, i.e., referential data rules, valid values, range checks, and consistency checks. The option to choose a value from a list of valid codes and a description of what each code means is available where applicable. Checks are applied at the time of data entry into a specific field. In addition, data on the use of the self-help sessions are collected within the platform. All data will be saved in an anonymous way only identified by a code which is not related to the participant's identity. Servers are protected by high-end firewall systems. Only the researchers directly involved in the study have access to the data.

Handling of missing data and drop-outs

Dropout are defined as participants who withdraw actively from the intervention after randomisation or who do not fill out the post-intervention in spite of two reminders. As for missing data, by withdrawing actively from the intervention, an e-mail will be sent with a REDCap link to the respective participants asking them to complete the post and follow-up questionnaires, nonetheless, thereby enabling us to conduct intention-to-treat analyses. In any case, all drop-outs are a part of the intent-to-treat sample as they have been randomised and are included in the analyses. Analyses of the extent of missing data will be conducted to explore the missing data patterns and determine the type of missing data (Missing Completely at Random, Missing at Random, Not Missing at Random). Missing values will be substituted using multiple imputations. Sensitivity analyses will explore the impact of the imputation of missing values.