Abstract
Time management is a fundamental skill needed to establish or maintain occupational balance and a crucial requirement for living a satisfying life and maintaining employment (Thomack, 2012). Time management and organization and planning skills are part of executive functioning (World Health Organization [WHO], 2007). Time management includes the mental functions of ordering events in chronological sequence and allocating amounts of time to events and activities (WHO, 2007). In the literature and in this study, time management skills refer to both the cognitive function and the skill to manage complex behaviors that aim to make effective use of time in goal-directed activities in daily life within the time allotted (Claessens et al., 2007; WHO, 2001). Organization and planning skills include the cognitive functions of coordinating parts into a whole, of systematizing—that is, the mental function of developing a method of proceeding or acting.
Difficulties with time management are common in people with neurodevelopmental and mental disorders (American Psychiatric Association, 2013; Valko et al., 2010). People with neurodevelopmental disorders such as attention deficit hyperactivity disorder (ADHD) and autism spectrum disorder (ASD) often have difficulties finishing tasks on time, and procrastination is common (Barkley et al., 2008). Moreover, studies have shown that in people with ADHD, an unrealistic understanding of time is common, and this is often related to difficulties with regulation of emotions (Maedgen & Carlson, 2000); emotional regulation is defined as cognitive functions that control the experience and display of affect (WHO, 2007). For people with mental disorders, a core feature of such disorders is cognitive impairments, including limited time management skills. For such people, time use is often restricted to sleeping, eating, caring for oneself, and performing quiet activities (Eklund et al., 2009), leading to significantly reduced community participation and poor satisfaction with daily life (Krupa et al., 2003).
A common intervention for people who have difficulties in time management is the use of a time-assistive device; however, these products alone are usually not sufficient to enable them to function well in daily life (Janeslätt et al., 2015). Studies have shown that systematic metacognitive therapy can enhance time management and organizational skills in people with ADHD (Langberg et al., 2008; Solanto et al., 2010), and a time-use intervention to improve occupational balance and engagement showed clinical utility for people with serious mental disorders (Edgelow & Krupa, 2011). However, there are no documented evidence-based interventions that aim to improve time management in daily occupations for adults with neurodevelopmental or mental disorders, and the need for such an intervention has been highlighted (Langberg et al., 2008).
A new and promising method is Let’s Get Organized (LGO), a manual-based group intervention. The goal of LGO is to foster the development of effective time management habits and organizational skills, and it uses cognitive assistive techniques such as maintaining an appointment book and using goal-directed trial-and-error learning strategies for cognitive rehabilitation (White, 2007; White et al., 2013). The original LGO was evaluated in a small pretest–posttest study in the United States, and participants showed significant improvement in time management skills (White, 2007). Thus, LGO has the potential to be an effective and clinic-friendly intervention to enhance clients’ ability to manage time and to plan and organize daily life. The aim of this study was to pilot test Part 1 of the LGO intervention in a Swedish context by exploring possible enhancements in time management skills, in aspects of executive functioning, and in satisfaction with daily occupations in people with time management difficulties caused by neurodevelopmental or mental disorders.
Method
This intervention study had a pretest–posttest design with 3-mo follow-up.
Translation and Adaptation
The LGO intervention was originally developed in English and implemented in a residential treatment facility for recovering addicts with mental disorders. It was designed as a 10-wk module consisting of two 1-hr sessions per week to provide consistency and repetition (White, 2007). The intervention protocol is delineated in a manual outlining each group session, which has specific stages to ensure the integration and generalization of new learning and to establish productive habit formation (White, 2007).
The original LGO was translated into Swedish in a back-and-forth process, including adaptation to the Swedish cultural context and to people with mental or neurodevelopmental disorders or both and people with intellectual disability in an outpatient setting. The translation and adaptation of LGO followed WHO (2013) guidelines. Efforts were made to keep the wording concise and clear but still capture the essence of the intervention content. The case examples in the original LGO were reconfigured with optional cases to fit the different target groups. The cultural adaptation included omitting the serenity prayer ending each session, which was replaced by a statement of gratitude: “Thank you for today.” The original LGO of 20 sessions of 1 hr each was reworked to fit an outpatient setting. The Swedish version (LGO–S) consists of Part 1, which includes 10 sessions, and Part 2, which includes 6 sessions each lasting 1.5 hr. Part 1 sessions focus on daily time management, and Part 2 sessions focus on organization and planning. The sessions in the Swedish version maintain the stage-specific structure of the original protocol. The Appendix to this article outlines the content of the original LGO and the LGO–S.
Participants
The participants in this study were recruited from psychiatric and habilitation outpatient services. Inclusion criteria were (1) confirmed or suspected diagnosis of a mental disorder, such as affective disorder or schizophrenia, or a neurodevelopmental disorder, such as ASD, ADHD, or attention deficit disorder; (2) absence of intellectual disability; and (3) self-reported difficulties in time management in daily life to an extent that negatively affects functioning in daily life.
Before commencing recruitment, ethics approval was obtained from the Regional Ethical Review Board in Uppsala, Sweden (2015/015). Participants were recruited by occupational therapists (n = 9) at five psychiatric and habilitation services in central Sweden. Eligible clients were informed orally and in writing about the LGO–S intervention and about the study. They were also informed that it was possible to participate in the intervention without being part of the study. Written informed consent was obtained from all participants.
Instruments
Assessment of Time Management Skills.
The primary outcome was self-reported time management skills as measured by the Swedish version of the Assessment of Time Management Skills (ATMS–S), which was recently validated in Swedish. The ATMS–S has subscales measuring three constructs: time management skills (11 items), organization and planning (11 items), and regulation of emotion (5 items). Each item has a four-point rating scale from 1 (never) to 4 (always; Janeslätt et al., 2017). The ATMS–S scores for each subscale were transformed to interval-level ATMS units, ranging from 0 to 100, by means of Rasch analysis. The test–retest reliability was evaluated for the English version with the Pearson correlation coefficient and r = .89 (White et al., 2013).
Weekly Calendar Planning Activity.
Executive functioning in the activity of time planning was measured by the Swedish research version of the Weekly Calendar Planning Activity (WCPA–SE; Toglia, 2017). The WCPA assesses a person’s ability to coordinate and integrate different aspects of executive functioning, such as planning and organization, inhibition of distractions, monitoring of the passage of time, and strategy use, in a cognitively challenging task (Toglia, 2015). The respondent is given a list of 17 appointments to be entered into a blank weekly calendar sheet. The test is timed and has five rules to adhere to. The WCPA has three difficulty levels, and in this study we used the easiest, Level I. Two different lists of appointments were used before and after the intervention to reduce possible learning effects. The WCPA–SE results used in this study included the total time to complete the task, the number of correctly entered appointments, the number of rules followed, and the number of strategies used (Toglia, 2015).
Satisfaction With Daily Occupations.
Self-rated satisfaction with daily occupations was assessed using the Satisfaction With Daily Occupations measure (SDO–13; Eklund et al., 2014). The SDO–13 is an interview instrument with 13 items assessing respondents’ satisfaction with their daily activities in the areas of work (3 items), leisure (3 items), domestic tasks (4 items), and self-care occupations (3 items). For each item, the respondent answers whether the activity was performed during a given time interval (Activity scale). The respondent then estimates the level of satisfaction with the activity on a scale from 1 (extremely dissatisfied) to 7 (extremely satisfied; Satisfaction scale). The scores from the Activity scale and the Satisfaction scale are then summed. The SDO–13 was developed in Swedish for people with mental disorders and has shown good internal consistency (α = .83) in a psychiatric sample (Wästberg et al., 2016), good validity (Eklund et al., 2014; Wästberg et al., 2016), and good test–retest reliability with Spearman’s rs of .84 for Satisfaction and .92 for Activity (Eklund & Gunnarsson, 2007). In addition to the SDO–13, the clients rated their global satisfaction with their daily occupations using a scale from 1 (best possible satisfaction) to 5 (least possible satisfaction; Wästberg et al., 2016).
Demographic Questionnaire.
A study-specific questionnaire was constructed to collect demographic data, including age, sex, family status, living arrangements, education, and work. The questionnaire was also used to gather information on whether participants had a disability affecting time management.
Procedure
In this study, only Part 1, the first 10 sessions of LGO–S focusing on time management, was provided and evaluated. Group leaders attended a 2-day course that explained the rationale and theories behind LGO, the key components of the group intervention, and executive function and time-processing issues and that provided training in how to lead the LGO–S sessions and collect data. Each intervention group included 6–12 participants (average = 7.5), and group sessions were held at the outpatient clinic or habilitation center where the participants were enrolled.
Data were collected in the clinical setting by the occupational therapists who conducted the intervention. Demographic data were collected once, before the intervention. ATMS–S data were collected on all three measurement occasions (preintervention, postintervention, and 3-mo follow-up), and the WCPA–SE and SDO–13 data were collected pre- and postintervention.
Analysis
Descriptive statistics were used to describe the demographics of the sample. To report results on time management and organizational skills, mean ATMS units (range 0–100) were calculated for each subscale. Tests of normality were performed with the Shapiro–Wilk test (Altman, 1991), which showed that normality could not be assumed for any of the three outcomes. Thus, nonparametric statistics were used for the analysis. The pre- and postintervention scores for all measures and the 3-mo follow-up ATMS–S scores were compared using the Wilcoxon signed-rank test. The significance level was set at <.05. Rasch calculations were performed with the Winsteps Rasch measurement computer program (version 3.72.3, copyright © 2009 by John M. Linacre); all other calculations were performed using IBM SPSS Statistics (Version 24; IBM Corp., Armonk, NY).
Results
Seventy-five participants consented to participate in the study and were included in the baseline data collection. Twenty participants dropped out of the study and were lost to postintervention data collection. No significant differences were found for any baseline measure between the participants who stayed in the study and the 20 who dropped out. The remaining 55 participants attended a mean of 8.1 of the 10 sessions (median = 9, range = 3–10). Most were women (n = 34), and ages ranged from 20 to 62 yr. A majority of the participants (n = 39) had a neurodevelopmental disorder, many of them in combination with a mental disorder, and six participants had only a mental disorder (Table 1). At the 3-mo follow-up, another 22 had dropped out, leaving 33 participants available for follow-up.
Participant Characteristics
Note. ADD = attention deficit disorder; ADHD = attention deficit hyperactivity disorder; ASD = autism spectrum disorder; ID = intellectual disability; M = mean; SD = standard deviation.
Provided baseline data only.
Participants improved their scores on all three ATMS–S subscales from preintervention to postintervention (p < .001). At 3-mo follow-up, they showed continued improvement in organization and planning but no significant change in time management or regulation of emotions (Table 2). For executive functioning, measured by the WCPA–SE, participants showed significant improvement in the number of correctly entered appointments (p < .001) and the number of rules followed (p = .034). No significant change occurred in the total time used to complete the task or in the number of strategies used (Table 3). The number of activities performed, measured with the SDO–13, increased significantly from 7.3 to 8.3 (p = .001) from pre- to postintervention. In addition, mean satisfaction with activities increased from 54.9 to 61.1 (p < .001), and mean global satisfaction improved from 3.2 to 2.8 (p = .007; lower scores indicate greater satisfaction; Table 4).
ATMS Results and Comparison Over Time
Note. Differences were calculated using the Wilcoxon signed-rank test. — = not applicable; ATMS = Assessment of Time Management Skills; M = mean; SD = standard deviation.
WCPA–SE Results and Comparison From Pre- to Postintervention
Note. Differences were calculated using the Wilcoxon signed-rank test. M = mean; Mdn = median; WCPA–SE = Swedish version of the Weekly Calendar Planning Activity.
SDO–13 Results and Comparison From Pre- to Postintervention
Note. Differences were calculated using the Wilcoxon signed-rank test. SDO–13 = 13-item Satisfaction With Daily Occupations measure.
Possible scores range from 1 to 5, with lower scores indicating greater satisfaction.
Discussion
The results of this study indicate that participants improved their time management skills, were more satisfied with their daily occupations, and to some extent also improved in executive functioning after participating in Part 1 of the LGO–S intervention. In the ATMS–S measurement at 3 mo postintervention, the improvements were maintained. These are promising results, indicating that the content of LGO–S was relevant to the performance of daily occupations in this group.
The SDO–13 results showed that the participants experienced increased satisfaction with their daily occupations and a small but significant increase in the number of daily occupations performed. These are interesting results, opening the possibility that LGO–S might have an impact on activity performance and on satisfaction in engaging in daily occupations. Given that people with neurodevelopmental and mental disorders often have difficulties with occupational balance, the possible impact of LGO–S on occupational balance needs to be explored in further studies.
The WCPA–SE results were mixed. A significant improvement was noted in the number of correctly entered appointments. This change might be directly related to LGO–S, which reinforces filling in appointments and other important information in an appointment book in each session. The number of rules followed and the number of strategies used increased only slightly, which might not be clinically significant, although the results for the number of rules did reach statistical significance. The number of rules followed was high already before the intervention, with a median of 5, so there was not much room for improvement. The fact that most participants managed to keep track of all the rules while carrying out the test might indicate that Level I was too easy and that use of the WCPA–SE at Level II might have been more sensitive to change and thus a better fit for this population.
All participants reported problems with time management in daily life, and the underlying reason involved a range of diagnoses. For people with ADHD, promising results from an earlier study suggest that systematic training using metacognitive therapy has an effect in enhancing time management and organizational skills (Solanto et al., 2010), and similar findings were presented in a review by Langberg et al. (2008). Our results are in line with these earlier studies. Langberg et al. noted difficulties in drawing conclusions about the evidence because the instruments used in the reviewed studies had not been evaluated. In our study, all instruments had been evaluated for psychometric properties.
Our study further indicated that the LGO–S intervention has potential benefit for people with other mental disorders, such as affective or schizophrenic disorder. Our results are similar to those of an earlier study by Edgelow and Krupa (2011) in which the Action Over Inertia (AOI) intervention increased engagement in time use in people with severe mental disorders. Although LGO–S and AOI have different main focuses (time management vs. time use), they overlap regarding the use of time awareness as a modality for intervention planning. Further research could show whether a group intervention such as LGO–S might be a complement to individual interventions such as AOI (Krupa et al., 2010). The finding that people with ASD can improve in time management, organization, and planning when participating in a structured group intervention has, to our knowledge, not been shown before and needs to be investigated and confirmed in further studies.
The LGO intervention has similarities to metacognitive therapy (Solanto et al., 2010) in focusing on time- and task-management topics (e.g., scheduling, prioritizing, learning new strategies), but LGO adds an occupational therapy perspective of skill mastery such as using real tools (e.g., appointment books), regulating emotions, learning that mistakes are integral to the process, and performing homework tasks. This perspective is more in line with the cognitive adaptation training evaluated by Fredrick et al. (2015), who reported that cognitive adaptation training that incorporates environmental support such as signs and checklists helps people overcome the cognitive deficits of schizophrenia and improves cognition more than other treatment methods.
An interesting result in the present LGO–S study is that the intervention may have improved participants’ regulation of emotions. This is of special interest because a relationship between an unrealistic understanding of time and difficulties with emotion regulation has been shown in people with ADHD (Maedgen & Carlson, 2000; Shaw et al., 2014). Identifying emotions is included in LGO–S at the beginning of each session; clients are asked to review an emotion sheet and answer the question “How are you feeling the most right now?” This stage has been shown to give clients an outlet for reflection and to help in the transition from the emotions of the day to the task at hand (White et al., 2007). It is possible that the study participants learned to identify and choose to use adaptive strategies to down-regulate negative emotions and maintain positive ones in a way that was useful not only for those with ADHD but also for those with mental disorders.
A limitation of this study is the pre–post design, which provides weak evidence to support the effect of an intervention. The findings were similar to the first pre–post study in the United States (White, 2007). This study had a larger sample, and evaluated instruments were used. The promising results support the planning of a randomized controlled study of the LGO–S intervention.
Another limitation is the high dropout rate (27%), which affects the reliability and generalizability of the results. Some participants may have dropped out because their symptoms became more acute, and there may have been other factors making them less able to engage in an intervention like LGO–S. If so, our results might be slightly too positive. It should be noted, however, that not all of the remaining participants completed all sessions. A high dropout rate is unfortunately not unusual in clinical research with people with mental or neurodevelopmental disorders, and our attrition rate was similar to the rates in other studies (Edgelow & Krupa, 2011; Solanto et al., 2010). High attrition must be taken into account when interpreting the results and planning future studies.
Implications for Occupational Therapy Practice
The results of this study have the following implications for occupational therapy practice:
Let’s Get Organized is a clinic-friendly and promising group intervention for improving time management skills in people with mental or neurodevelopmental disorders and difficulties with time management in daily life.
The study found a preliminary indication that Part 1 of the Swedish version of the LGO intervention program can improve time management skills, organization and planning of everyday occupations, and regulation of emotions, as well as satisfaction with daily occupations, for this population.
The Assessment of Time Management Skills and the Satisfaction With Daily Occupations instruments are sensitive to change and useful in a clinical setting.
Conclusion
This pilot study provides promising results indicating that LGO–S can improve time management, organization and planning, emotional regulation, executive functioning, and satisfaction with daily occupations in people with mental or neurodevelopmental disorders. These findings need to be confirmed in further studies. Other topics for further study are to evaluate Part 2 of LGO–S and the original LGO intervention with 20 sessions.
Footnotes
Acknowledgments
We express gratitude to the participants and to the occupational therapists who led the intervention groups. The study was financially supported by the Centre for Clinical Research Dalarna, Falun, Sweden, and Örebro University, Örebro, Sweden. The translation of the Let’s Get Organized intervention was supported by the Swedish Association of Occupational Therapists. This study is registered at
(NCT03659279).
Session Content in Let’s Get Organized: Original English and Adapted Swedish Versions
| Original English Version | Adapted Swedish Version | ||
| Session No. | Content | Session No. a | Content |
| 1 |
• ATMS pretest • Appointment books • Define trial-and-error learning |
1 (1) |
• ATMS–S pretest • Appointment books • Define trial-and-error learning |
| 2 |
• Appointment books • How to make time work for me: Case Study 1 |
2 (2) |
• Appointment books • How to make time work for me: Case Study 1 |
| 3 |
• Appointment books • How do I spend my time? • Time construction |
3 (11, 12) |
• Appointment books • What I have to do vs. what I like to do (PS: Things I hate to do) |
| 4 |
• Appointment books • Time construction |
4 (5) |
• Appointment books • Prioritizing time to make it work for me: Case Study 2 |
| 5 |
• Appointment books • Prioritizing time to make it work for me: Case Study 2 |
5 (3) |
• Appointment books • How do I spend my time? • Time construction |
| 6 |
• Appointment books • Making the most of my time and energy • Energy levels and circadian rhythms |
6 (6) |
• Appointment books • Making the most of my time and energy • Energy levels and circadian rhythms |
| 7 |
• Appointment books • Energy levels |
7 (7) |
• Appointment books • Energy levels |
| 8 |
• Appointment books • Revising my schedule: Estimating and anticipating time |
8 (8) |
• Appointment books • Revising my schedule and daily routines: Estimating and anticipating time |
| 9 |
• Appointment books • Time to have fun: Weekend planning |
9 (9, 13) |
• Appointment books • Time to have fun: Weekend planning • Rewarding myself |
| 10 |
• Appointment books • What have I learned so far? • Midterm review |
10 (10) |
• Appointment books • ATMS–S posttest • What have I learned so far? • Diploma |
| 11 |
• Appointment books • What I have to do vs. what I like to do (PS: Things I hate to do) |
11 (14) |
• Appointment books • Making a mess and cleaning it up: Papers on the kitchen table |
| 12 |
• Appointment books • What I have to do vs. what I like to do (PS: Things I hate to do) |
12 (15) |
• Appointment books • Clean sweep: Sorting things in a drawer |
| 13 |
• Appointment books • Rewarding myself |
13 (17) |
• Appointment books • Planning and organizing: Clothes in a wardrobe • Planning a meal |
| 14 |
• Appointment books • Making a mess and cleaning it up |
14 (18) |
• Appointment books • Budgeting a meal • Shopping for a meal: Shopping techniques |
| 15 |
• Appointment books • Clean sweep |
15 (19) |
• Appointment books • Having a meal together |
| 16 |
• Organization and time management tools (watches, clocks, sticky notes, file folders, lists, apps) |
16 (20) |
• Appointment books • ATMS–S posttest • What did you learn? |
| 17 |
• Appointment books • Planning, organizing, and budgeting a meal |
||
| 18 |
• Appointment books • Shopping for a meal: Shopping techniques |
||
| 19 |
• Appointment books • Having a meal together |
||
| 20 |
• Appointment books • ATMS posttest • What did you learn? |
||
Note. ATMS = Assessment of Time Management Skills; ATMS–S = Assessment of Time Management Skills, Swedish version; PS = postscript.
Corresponding English-version session numbers are in parentheses.
