References for articles

Creswell, C., Waite, P., & Hudson, J. (2020). Practitioner Review: Anxiety disorders in children and young people – assessment and treatment. Journal of Child Psychology & Psychiatry, 61(6), 628–643. https://doi-org.proxy- library.ashford.edu/10.1111/jcpp.13186

Fox, A., Dishman, S., Valicek, M., Ratcliff, K., & Hilton, C. (2020). Effectiveness of Social Skills Interventions Incorporating Peer Interactions for Children With Attention Deficit Hyperactivity Disorder: A Systematic Review. American Journal of Occupational Therapy, 74(2), 1–19. https://doi-org.proxy- library.ashford.edu/10.5014/ajot.2020.040212

Kim, M. J., Park, H. Y., Yoo, E.-Y., & Kim, J.-R. (2020). Effects of a Cognitive- Functional Intervention Method on Improving Executive Function and Self- Directed Learning in School-Aged Children with Attention Deficit Hyperactivity Disorder: A Single-Subject Design Study. Occupational Therapy International, 1–9. https://doi-org.proxy-library.ashford.edu/10.1155/2020/1250801

Leightley, D., Lavelle, G., White, K. M., Sun, S., Matcham, F., Ivan, A., Oetzmann, C., Penninx, B. W. J. H., Lamers, F., Siddi, S., Haro, J. M., Myin- Germeys, I., Bruce, S., Nica, R., Wickersham, A., Annas, P., Mohr, D. C., Simblett, S., Wykes, T., & Cummins, N. (2021). Investigating the impact of COVID-19 lockdown on adults with a recent history of recurrent major depressive disorder: a multi-Centre study using remote measurement technology. BMC Psychiatry, 21(1), 1–11. https://doi-org.proxy- library.ashford.edu/10.1186/s12888-021-03434-5

Nichols, E. S., Penner, J., Ford, K. A., Wammes, M., Neufeld, R. W. J., Mitchell, D. G. V., Greening, S. G., Théberge, J., Williamson, P. C., & Osuch, E. A. (2021). Emotion regulation in emerging adults with major depressive disorder and frequent cannabis use. NeuroImage: Clinical, 30. https://doi- org.proxy-library.ashford.edu/10.1016/j.nicl.2021.102575

Research Article Effects of a Cognitive-Functional Intervention Method on Improving Executive Function and Self-Directed Learning in School-Aged Children with Attention Deficit Hyperactivity Disorder: A Single-Subject Design Study

Mi Ji Kim,1 Hae Yean Park ,2 Eun-Young Yoo,2 and Jung-Ran Kim3

1BODA Visual Perception & Cognition Educational Institution, Republic of Korea 2Department of Occupational Therapy, Yonsei University, Republic of Korea 3College of Human Service, Department of Dementia Prevention and Rehabilitation, Catholic Kwandong University, Republic of Korea

Correspondence should be addressed to Hae Yean Park; [email protected]

Received 8 April 2020; Accepted 15 June 2020; Published 10 July 2020

Academic Editor: Giovanni Galeoto

Copyright © 2020 Mi Ji Kim et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Background. School-aged children with attention deficit hyperactivity disorder (ADHD) face many difficulties with self-directed learning because of their poor executive function. This leads to secondary problems such as learning disabilities and depression, so the role of intervention to improve executive function in school-aged children with ADHD is important. Objective. The present study is aimed to investigate how cognitive-functional (Cog-Fun) intervention affected executive function of school-aged children with ADHD and the sustainability of these effects. To investigate the effects of changes in the executive function of school-aged children with ADHD through Cog-Fun intervention in self-directed learning. Method. A single-subject A-B-A research design was employed in this study. Three children aged 9-10 years who were diagnosed with ADHD were selected. A total of 17 experimental sessions were conducted. The Cog-Fun intervention program was implemented during the intervention phase. To measure dependent variables, Behavior Rating Inventory of Executive Function (BRIEF) and Homework Problems Checklist (HPC) were used. Significant changes in executive function assessed by the Children’s Color Trails Test (CCTT) and Stroop test were analyzed through two-standard deviation band analysis. Additionally, video clips of task performance were analyzed to examine qualitative performance changes in self-directed learning. Result. All three participants presented statistically significant changes with a number of near-misses of CCTT and color words score of Stroop test during the intervention. T-scores of the Global Executive Composite (GEC) decreased after the intervention, indicating improvement in executive function. The follow-up period revealed retention of the improved executive function. Additionally, self-directed learning improved in all participants after the implementation Cog-Fun intervention. Conclusion. The study supports the effectiveness of Cog-Fun intervention in improving executive function in school-aged children with ADHD and confirmed that the improvement of executive function ultimately leads to the improvement of self-directed learning performance.

1. Introduction

Attention deficit hyperactivity disorder (ADHD) is the most common neurodevelopmental socio-behavioral cognitive disorder in school-aged children; approximately 9–11% of elementary school children have a tendency to develop ADHD [1, 2]. The main problems associated with ADHD are hyperactivity, inattention, and impulsiveness. Repeated

failures and experiences of frustration due to these effects result in increased risk of a broad range of mental disorders such as mood, anxiety, eating, and personality disorders [3, 4]. Therefore, it is important to apply appropriate inter- ventions to address the main problems of ADHD.

The behavioral characteristics of ADHD described above have a clear relationship with defects in executive function [5–8]. Executive function is a neuropsychological process

Hindawi Occupational erapy International Volume 2020, Article ID 1250801, 9 pages https://doi.org/10.1155/2020/1250801

that involves behavioral self-control and allows for effective setting, planning, execution, and achievement of goals [9]. Executive function includes inhibition of impulses, shifting between tasks, working memory, planning, and organiza- tional abilities [10]. Defective executive function affects aspects of occupational function, especially academic devel- opment of school-aged children since demands for academic autonomy and independence increase at this time [11–13].

School-aged children with ADHD are characterized by low task performance rates and chronic academic challenges, including in self-directed learning, due to defects in executive function [14–16]. For example, these children are not able to write down tasks and related information provided by the school, submit delayed or incomplete homework, and are not able to focus during task performance [14]. This demon- strates one aspect of the difficulties with self-directed learn- ing, which is the ability to control intrinsic processes, with the understanding of the surrounding environment and with their learning behavior to enhance self-knowledge, skills, sense of accomplishment, or personal development through effort. Therefore, interventions that aim at improving execu- tive function are urgently required [12].

A variety of pharmacological and nonpharmacological interventions are available for ADHD. Although there is methylphenidate as a typical drug treatment, it is that drug treatment has a temporary effect and side effects, and the underlying problem cannot be solved. Nonpharmacological interventions include behavioral interventions, neuro-feed- back, cognitive training, and restricted elimination diet [17]. Occupational therapy interventions for children with ADHD mainly focused on play, sensory, motor, and cogni- tive skills [18]. However, interventions taking into account the individual characteristics of school-aged children with ADHD and the interventions related to the process of behav- ior change and the sustainability of the change were limited.

The cognitive-functional (Cog-Fun) intervention method is an occupational therapy intervention designed to enhance the executive functions of children with ADHD. It aims to aid participants in acquiring strategies for the execution of daily living activities and increase participation in important occupations, to enhance the quality of life of children and their families. Specifically, Cog-Fun interventions were designed based on the Person-Environment-Occupation Model (PEO Model) and the Model of Human Occupation (MOHO) and focused on the executive functions of children with ADHD [19, 20]. Their main properties include setting child-centered goals, providing training in the three execution strategies of “stop, plan, and review,” and aiding children in becoming able to set their own strategies [16].

A previous study that investigated the effects of Cog-Fun intervention in children with ADHD aged between 7 and 9 years showed significant improvements in executive func- tion, occupational performance results, and performance of targeted behaviors [21]. In addition, Maeir et al. conducted a controlled study with 19 children aged between 5 and 7 years old and reported significant improvement in executive function along with improvements in occupational perfor- mance and satisfaction, emphasizing the importance of the parents’ role in persistently transferring the strategies learned

in interventional situations to the home environment [16]. A recent randomized controlled study with 107 children also confirmed improvements in occupational performance and satisfaction [22].

However, there are no studies on school-aged children which have targeted occupational performance in learning. Since there is only one before- and after-intervention study, it is difficult to acquire information on changes in children’s functions, other than executive function. Therefore, this study implemented individual experimental methods to gen- erate information related to the behavioral change process and the sustainability of these changes resulting from inter- ventions that consider individual characteristics of children with ADHD; it also investigated the effects of Cog-Fun on the improvement of executive function of children with ADHD. In addition, each case was observed and analyzed to determine the actual changes in self-directed learning performance after change in executive function.

The detailed objectives of this study were as follows:

(1) To investigate the effects of Cog-Fun intervention on the executive function of school-aged children with ADHD and the sustainability of these effects

(2) To investigate the effects of changes in the executive function of school-aged children with ADHD through Cog-Fun intervention in self-directed learning

2. Materials and Methods

2.1. Study Design. This study employed an A-B-A design, which applied a withdrawal scheme in single-subject research. After a total of 16 sessions twice a week, one follow-up session after two weeks was conducted to deter- mine the sustainability of the effects of intervention.

2.2. Participants. This study was conducted with children diagnosed with ADHD and lived either in Seoul or Gyeong-gi Province. The inclusion criteria were (1) diagnosis of ADHD by a medical doctor or clinical psychologist, (2) attending school from 3rd to 6th grade, (3) score of 14 or higher in Conners Abbreviated Rating Scale (CARS), (4) score of 55 or higher in social quotient on the Social Maturity Scale and at a level where education is possible, (5) reported difficulties in performing homework, (6) no overlapping visual, auditory, or physical disability, and (7) parental agree- ment to the study.

2.3. Assessment Procedure. The experiment combined a mea- surement of executive function and self-directed learning performance; Behavior Rating Inventory of Executive Func- tion (BRIEF) and Homework Problem Checklist (HPC) were conducted at baseline, after the intervention session, and during the follow-up session to measure changes in overall function. In addition, in each session, the Children’s Color Trails Test (CCTT) and Stroop test for children were conducted, and performance in self-directed tasks was video-recorded.

2 Occupational Therapy International

BRIEF is used to measure executive function in school- aged children between 5 and 18 years old and includes the following items: inhibition, shifting tasks, emotional control, initiation, working memory, planning/organization, organi- zation of materials, and monitoring [23]. Test-retest reliabil- ity of parent assessment is 0.72-0.84.

HPC is a parent-reported assessment scale composed of 20 items used to identify the level of difficulty in the perfor- mance of homework [24]. This tool has a high internal con- sistency of 0.90-0.92 and is structured in a 4-point Likert scale where “0” indicates “not at all” and “3” “very fre- quently”. Homework performance was chosen as a self- directed learning activity, and, through HPC, the changes in homework performance before and after the intervention were investigated.

CCTT measures executive function, mainly focusing on attention, cognitive flexibility, and susceptibility to interfer- ence [25, 26]. This study used the standardized Korean ver- sion of the Color Trails Test. To prevent a ceiling effect in the test, a random number generator application was used to randomly designate each number to a location, and differ- ent test sheets were used for each session.

The Stroop Color and Word Test Children’s Version is used to measure cognitive flexibility, response inhibition, attention, automation, reading, semantic memory, and self- control [26]. This study used a color-word task that identifies executive function such as cognitive flexibility and response inhibition of children with ADHD. The test-retest reliability of the task is 0.73 [27].

Lastly, to assess satisfaction with the program, Treatment Evaluation Inventory-Short Form (TEI-SF) was employed at the end of the study term. TEI-SF, a short form of TEI, was developed by Kelly et al. in 1989 to evaluate parents’ percep- tion with respect to children who received the therapy [28]. This study used 2010 translated version of Kim to identify parental perceptions on the appropriateness, effects, and ethics of the program [29].

2.4. Cog-Fun Program. Cog-Fun is an intervention method designed to enhance executive function and self-efficacy based on occupational models [19]. There are two major intervention models for children and adolescents. This study considered both the functional level and age of the participat- ing children when forming the program. The intervention consisted of a total of ten 60-minute sessions, provided twice a week.

Step A, which increases adaptive self-awareness of the children, was provided over two sessions. The initial session evaluated the occupational profile of the child through Child Occupational Self-Assessment (COSA). One goal was set after occupational consultation. The second session consisted of watching video clips related to ADHD. Watching the clips aims at increasing the child’s understanding of ADHD and helps them substitute problematic behaviors and realize their own challenges.

Step B, which is designed to develop strategies for execu- tive function improvement, progressed over six sessions together with step C, which modifies and restructures the environment. The child played games related to the themes

of each session and cognitive tasks provided by the therapist and was trained in stop, plan, and review strategies by follow- ing appropriate protocols [21]. Specialized strategy training sessions were provided to explore and apply their own strat- egies based on therapeutic learning experiences. While inter- vention was in progress, a Daily Occupational Goal Planner (DOGP) was provided to children to help them continue to practice the acquired strategies in their daily life. There was consultation with the parents after each session. During con- sultation, therapists provided parent education that enhances the understanding of children with ADHD and appropriately customizing environment for each child to perform tasks.

The final step D summarized the whole process and integrated prior steps. This step progressed over two ses- sions focusing on preparative activities for a creative project that outlines their own occupational profile, goals, and acquired strategies.

2.5. Data Analysis. This study documented all outcome values of the CCTT and Stroop test for children for each ses- sion and presented them using visual graphs. Significant changes in executive function were analyzed through two- standard deviation band analysis. Additionally, video clips of task performance were analyzed to examine qualitative performance changes in self-directed learning. Finally, exec- utive function behavior assessment was conducted and a Homework Problem Checklist was used before and after interventions and during the follow-up sessions to analyze changes in executive function and self-directed learning.

3. Results

3.1. Participants. Three subjects who met the selection cri- teria were selected. All three subjects are school-aged male children aged 9 to 10 years who have been diagnosed with ADHD. Participants 1 and 3 were taking methylphenidate, and participant 2 was not receiving medication. As a result of the Social Maturity Scale (SMS) used to measure educa- tional possibilities, all participants were educable or above. Detailed characteristics of participating students are pre- sented in Table 1.

3.2. Changes in Executive Function

3.2.1. Executive Function Changes following CCTT. After CCTT 1 and 2, the numbers of approximate errors from each trial were summed, and changes were observed as the study progressed. The near-miss index reflects the impulses of the participant, and a low number of near-misses suggest fewer errors due to impulsive behavior. Compared to baseline period A, the number of near-misses during the intervention period revealed mean decreases of 2.3 for participant 1, 0.8 for participant 2, and 2.6 for participant 3. According to the 2SD method (Figure 1), all three participants presented with a number of near-misses during the intervention period out- side the 2SD band, confirming that the decrease in the num- ber of near-misses was statistically significant.

3.2.2. Changes in Executive Function following the Stroop Test. This study used the color-word score as a dependent

3Occupational Therapy International

variable, because it informs on the ability of the child to inhibit their impulses and allows for the analysis of changes in scores. A higher score reflects improved cognitive flexibil- ity and response inhibition. The resulting graph revealed that the scores of the three participants fell consistently outside the 2SD band in all intervention periods (Figure 2); therefore, the results were statistically significant. In addition, mean

increases in scores during the intervention period were 10.3 for participant 1, 19.33 for participant 2, and 9.2 for partici- pant 3, compared to baseline period A.

3.2.3. Executive Function Changes following BRIEF. The results of BRIEF, which tests the executive function of inhibi- tion, task shifting, emotional control, initiation, planning and

Table 1: Demographic characteristics of participants.

Characteristics Participant 1 Participant 2 Participant 3

Age 9 y 8 m 10 y 3 m 9 y 4 m

Sex Male Male Male

Diagnosis ADHD ADHD ADHD

Drugs Methylphenidate No

medication Methylphenidate

CARS-P 24 18 28

SMS Social age 8.3 13.4 9.5

Social quotient 85 130 102

CARS-P: Conners Abbreviated Rating Scale-Parents form; SMS: Social Maturity Scale.

0 1 2 3 4 5 6 7

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17

0 1 2 3 4 5 6 7

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17

0 1 2 3 4 5 6 7

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17

Participant 1

Su m

o f n

ea r–

m is

se s

Su m

o f n

ea r–

m is

se s

Su m

o f n

ea r–

m is

se s

Participant 2

Participant 3

Sessions

Baseline (A)

Baseline (A’)

Cog-Fun intervention (B)

Follow-up

2SD band

Baseline mean

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 1

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 1 Sessions

2SD band

Figure 1: Sum of near-misses in Children’s Color Trails Test (CCTT) for executive function during baseline and intervention periods.

4 Occupational Therapy International

organization, organization of materials, and monitoring occupation, indicate an improvement in executive function when T-scores and percentiles are decreased. When changes in the Global Executive Composite (GEC) were examined, all three participants showed improved executive function; T -scores decreased in the GEC after the intervention from 77 (98%) to 72 (97%) for participant 1; from 74 (97%) to 67 (94%) for participant 2; and from 79 (98%) to 67 (94%) for participant 3. T-scores during the follow-up period revealed retention of the improved executive function. When the test results were examined by item, participant 1 presented with the greatest T-score changes in task shifting, planning and organization, and inhibition control; participant 2 showed the greatest changes in task shifting, inhibition, and working memory; participant 3 showed the greatest changes in activ- ity initiation, planning and organization, and working mem- ory. The follow-up test confirmed that all three participants maintained the improved executive function without any major changes (Table 2).

3.3. Changes in Self-Directed Learning

3.3.1. Changes in Self-Directed Learning by Session Video. In every session, a task performance process consisting of “preparing-performing task-cleaning up” was video recorded and analyzed through a narrative documentation method to determine the actual changes in self-directed learning task performance along with the changes in executive function. Participant 1 was able to achieve the initial goal of “becoming good at doing homework myself” through the Cog-Fun inter- vention process. Regarding executive function, the partici- pant improved planning and organization and environment structuring; the participant remembered the school schedule and their extracurricular activities, sets an alarm for self- directed learning times, and organized their own space and school materials. Participant 2 is trained with the aim to manage their schedule independently. After intervention, the participant prepared the task, performed it indepen- dently, and remembered information related to the

0 10 20 30 40 50 60 70

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17

0 10 20 30 40 50 60 70

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17

0 10 20 30 40 50 60 70

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 Sessions

Participant 2

Participant 3

Participant 1

Baseline (A)

Baseline (A’)

Cog-Fun intervention (B)

C ol

or –w

or d

sc or

e C

ol or

–w or

d sc

or e

C ol

or –w

or d

sc or

e

Follow-up

2SD band

Baseline mean

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 1

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 1

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 1 Sessions

2SD band

Figure 2: Color-word score in Stroop Color and Word Test Children’s Version for executive function during baseline and intervention periods.

5Occupational Therapy International

schedulewithin everyday routines during the weekends. Par- ticipant 3 sets the goal to “do well in homework and finish on time.” The participant generated a daily schedule table as a planning and checking strategy after looking at the time. At home, the participant persistently practiced using a whiteboard with their parents and was later able to perform all activities independently. In addition, as planning for time increased and the task was not completed on time, the participant was less emotionally overexcited. All three participants improved their planning and organization of self-directed learning and showed self-confidence and satis- faction in task performances.

3.3.2. Self-Directed Learning Changes following HPC. HPC scores, which determine the degree of problematic perfor- mance of self-directed learning (homework), become lower when problematic behavior is attenuated. Participant 1 showed a decrease of 12 points after the intervention. The greatest changes were in reminding the participant to do homework, daydreaming or fidgeting with objects while per- forming homework tasks, and taking a long time to complete homework. Participant 2 showed a 2-point decrease, and the problematic behaviors that improved were reminding the participant to do homework, being easily distracted, and making careless errors. Participant 3 demonstrated changes in daydreaming or fidgeting with objects while performing homework tasks and performing homework task in a messy and unorganized manner. The total score was 14 with a 7- point decrease. Participants 2 and 3 showed a continuous decrease in problematic behaviors during homework per- formance during the follow-up period, thus maintaining improved self-directed learning (Figure 3).

3.3.3. Program Satisfaction Evaluation. The results of TEI-SF showed that all three parents perceived the Cog-Fun program positively and responded that it improved functional perfor- mance with long-lasting effects.

4. Discussion

This study investigated the effects of Cog-Fun intervention on executive function and self-directed learning enhance- ment for school-aged children with ADHD. Changes in exec- utive function were observed through CCTT and Stroop color-word tests at every session, and task performance was analyzed to trace the changes in self-directed learning. In addition, BRIEF and HPC were used to measure and analyze executive function and self-directed learning over pretest, posttest, and follow-up periods. As a result, executive func- tion and self-directed learning of all participants improved after Cog-Fun intervention.

The assessment results per session showed statistically significant changes in the number of near-misses and color- word scores, which are closely related to impulsiveness and inhibition ability of executive function. The results of BRIEF, which was conducted before and after the intervention, showed a mean decrease of -5.06 points (range: -3.90 to -7.20) in the executive function subitem T-score, suggesting improved executive function. As for self-directed learning performance, all participants reviewed and became aware of their schedules in narrative record analysis for each session and showed changes in performance such as using a notice board or setting time to independently perform the task. The HPC results before and after the intervention also con- firmed improvement in self-directed learning.

The subitems of working memory, planning and organi- zation, and organization of materials in BRIEF showed greater score changes after implementation of Cog-Fun intervention than emotional control or inhibition control. This finding is not consistent with Maeir et al. [30], which reported that changes in impulse inhibition, task shift, and working memory were greater than changes in other subi- tems of executive function after implementation of Cog- Fun. These differences may result from the fact that the participants of our study set goals to perform tasks while

Table 2: Executive function changes following BRIEF.

T-score (%)

Scale/index Participant 1 Participant 2 Participant 3

Before intervention

After intervention

Follow-up Before

intervention After

intervention Follow-up

Before intervention

After intervention

Follow-up

Inhibition 69 (96) 62 (91) 66 (94) 78 (98) 69 (96) 62 (91) 78 (98) 69 (96) 66 (94)

Shift 81 (99) 67 (96) 67 (96) 71 (97) 60 (85) 57 (79) 81 (99) 84 (99) 77 (99)

Emotional control 76 (98) 76 (98) 62 (90) 71 (98) 67 (92) 56 (73) 78 (99) 71 (98) 73 (98)

Behavioral regulation index 78 (98) 71 (96) 67 (95) 77 (98) 68 (95) 60 (84) 83 (99) 77 (98) 75 (97)

Initiate 66 (93) 72 (98) 69 (98) 68 (98) 63 (88) 47 (49) 72 (98) 56 (79) 56 (79)

Working memory 76 (98) 72 (97) 74 (98) 67 (95) 60 (85) 58 (81) 69 (96) 56 (77) 58 (81)

Plan/organize 73 (98) 69 (94) 71 (97) 67 (93) 63 (90) 54 (70) 67 (93) 52 (66) 52 (66)

Organization of materials 55 (74) 45 (35) 52 (63) 55 (74) 58 (78) 45 (35) 58 (78) 49 (45) 39 (18)

Monitor 75 (99) 69 (98) 62 (91) 72 (98) 69 (98) 56 (79) 78 (99) 72 (98) 72 (98)

Metacognition index 74 (98) 69 (96) 77 (99) 69 (96) 65 (91) 53 (64) 73 (98) 58 (77) 57 (73)

Our website has a team of professional writers who can help you write any of your homework. They will write your papers from scratch. We also have a team of editors just to make sure all papers are of HIGH QUALITY & PLAGIARISM FREE. To make an Order you only need to click Ask A Question and we will direct you to our Order Page at WriteDemy. Then fill Our Order Form with all your assignment instructions. Select your deadline and pay for your paper. You will get it few hours before your set deadline.

Fill in all the assignment paper details that are required in the order form with the standard information being the page count, deadline, academic level and type of paper. It is advisable to have this information at hand so that you can quickly fill in the necessary information needed in the form for the essay writer to be immediately assigned to your writing project. Make payment for the custom essay order to enable us to assign a suitable writer to your order. Payments are made through Paypal on a secured billing page. Finally, sit back and relax.

Do you need an answer to this or any other questions?

Order Plagiarism Free Answer Here

About Wridemy

We are a professional paper writing website. If you have searched a question and bumped into our website just know you are in the right place to get help in your coursework. We offer HIGH QUALITY & PLAGIARISM FREE Papers.

How It Works

To make an Order you only need to click on “Order Now” and we will direct you to our Order Page. Fill Our Order Form with all your assignment instructions. Select your deadline and pay for your paper. You will get it few hours before your set deadline.

Are there Discounts?

All new clients are eligible for 20% off in their first Order. Our payment method is safe and secure.

Hire a tutor today CLICK HERE to make your first order

Related Tags

Academic APA Writing College Course Discussion Management English Finance General Graduate History Information Justify Literature MLA