Skip to main content
Journal of Rural Medicine : JRM logoLink to Journal of Rural Medicine : JRM
. 2019 May 30;14(1):7–25. doi: 10.2185/jrm.2996

Significance and potential of self-management research for HTLV-1 associated myelopathy: review of self-management for people with multiple sclerosis

Saori Yamaguchi 1, Rika Yatsushiro 1
PMCID: PMC6545424  PMID: 31191762

Abstract

Objective and Methods: A total of 21 published studies on self-management for people with multiple sclerosis (MS) were reviewed to explore the significance and potential of self-management for people with HTLV-1 associated myelopathy (HAM). These studies were classified based on three concepts: self-management regimen and preferences, context of self-management, and outcomes of self-management.

Results: Self-management regimens for people with MS include medical, role, and emotional management. Moreover, self-management regimens are closely associated with the context of self-management, emphasizing the importance of investigating contextual factors and regimens concurrently. Quality of life (QOL) has been evaluated as an outcome of self-management, and self-management has been shown to have both positive and negative effects on the QOL of people with MS. However, insufficient studies focus on self-management regimens and patient preferences; further investigation is necessary to develop effective self-management interventions that reflect the often unique nature of the disease for each individual. The characteristics of HAM are also unique to individual patients. Therefore, investigation of people with HAM in particular is required.

Conclusion: This literature review examined the significance of investigating self-management for people with HAM.

Keywords: self-management, multiple sclerosis, HTLV-1 associated myelopathy

Introduction

“Living with illness” is a focal issue for patients, families, and healthcare professionals, following the shift from acute to chronic health conditions. With increasing life expectancy comes the occurrence of chronic conditions among individuals; in other words, “living with illness” is a problem faced by nearly every human in his or her lifetime. Chronic conditions are described as health problems that persist over time and require some degree of healthcare management1). People with chronic conditions must learn how to manage their illness and its effects long-term, and they must incorporate this management into their everyday lives. They must partner actively with healthcare professionals in managing their chronic conditions2).

Management of chronic conditions is found to be difficult, however, for people with neurological disorders that have no cure and an unpredictable prognosis, such as multiple sclerosis (MS) and Parkinson’s disease. Accordingly, it is difficult for patients to identify effects and symptoms they can manage over the course of their illness. People with HTLV-1 associated myelopathy (HAM) in particular often encounter difficulty in managing their chronic condition. HAM is a spinal spastic paraparesis caused by infection with human T-lymphotropic virus type 1. There are approximately 3,000 cases of HAM in Japan. Common symptoms include gait disorder due to chronic spastic paraparesis, weakness of the lower limbs, bladder function disturbance, constipation, and sensory symptoms such as tingling, pins and needles, and burning3). Because there is no cure, people with severe HAM must consider modifying not only their daily behaviors but also their entire way of life. In a previous study4), a phenomenological method was used to investigate the experience of people with HAM. Results showed that people with HAM had often been living with their illness for a significant period before their diagnosis, and remained in a state of uncertainty after their diagnosis due to lack of knowledge about the disease. Throughout the progression of symptoms, they experienced a “feeling of loss of self-control” over their body, their disease, and their future. However, many attempted to manage the problems caused by HAM. In conclusion, it is important to provide support and opportunity for people with HAM to manage their chronic condition, thereby helping them find positive meaning in their illness and improving their quality of life (QOL). A better understanding of self-management would also provide nurses with information about how to best assist people with HAM.

Self-management is defined as “learning and practicing skills necessary to carry on an active and emotionally satisfying life in the face of a chronic condition”5). It has gained importance in management of chronic conditions. Self-management science has developed, in part, due to the insufficiency of the acute care model to meet the needs of people with chronic conditions1), and research has already described and evaluated self-management interventions in various areas6,7,8). The Stanford Patient Education Research Center has developed and evaluated self-management programs for people with chronic conditions such as arthritis and HIV/AIDS9), which proved to be effective; participants exhibited significantly improved self-management behaviors10). Previous studies have shown that a self-management approach is effective in supporting not only lifestyle-related diseases, such as hypertension, cardiovascular diseases, and type 2 diabetes, but also progressive neurological disorders such as MS, which is similar in presentation to HAM.

The most common neurological disorder studied in the context of self-management is MS11). Rae-Grant et al. identified 39 articles in a systematic review of self-management programs in individuals with MS and other neurological conditions12). MS is one of the most common chronic progressive diseases of the central nervous system, with the most common symptoms including fatigue, numbness, gait problems, bladder and bowel dysfunction, vision problems, sexual dysfunction, cognitive function changes, and emotional changes13). Some characteristics of MS, such as symptoms, uncertainty of course, and progressive disability, are similar to those of HAM. Common issues for people with MS included uncertainty regarding the course, symptoms, and prognosis of their disease and a reduced sense of control14), consistent with the findings of previous research on the experiences of people with HAM. Patients with HAM may increase their sense of control over their chronic illness through self-management. Furthermore, independent engagement in managing chronic conditions may lead patients to reestablish and/or maintain control over their lives and sustain their QOL15,16,17). As patients realize that self-management processes can positively affect their chronic conditions, they may be better able to live with their illness, resulting in enhanced QOL.

For these reasons, studies of self-management in people with MS are very informative for patients with HAM, which shares many symptoms common to neurological disorders. Although a systematic review of self-management intervention for people with MS has already been done12), the present study conducted an integrative review to determine the current knowledge in self-management science for people with MS, focusing specifically on three concepts: self-management regimens and patient preferences, the context of self-management, and outcomes of self-management. This study aimed to explore the significance and potential of self-management for people with HAM by reviewing published studies of self-management for people with MS.

Methods

Existing research was explored through two electronic databases, PubMed and CINAHL, using MS and self-management or self-care as search criteria, with the following terms added: regimen, preference, context, outcome, and QOL. A self-management regimen is the method for managing a chronic condition, and patient preferences lead to a better understanding of patient perspectives. The context of self-management presumably includes factors relevant to the self-management regimen. QOL was added because it is assumed to be the final outcome of self-management.

Articles that met the criteria for review were identified and classified according to the concepts of self-management regimens and patient preferences, the context of self-management, and outcomes of self-management outlined in a matrix table for review. Each article was systematically read and synthesized.

Results

Twenty-one research articles were identified and classified according to the concepts of self-management regimens and patient preferences, the context of self-management, and outcomes of self-management.

Self-Management Regimens and Preferences of People with MS

Self-management regimens and preferences were identified from six studies (Table 1) that described various disease-specific problems and difficulties as well as management regimens for people with MS.

Table 1. Self-management regimens and preferences of people with multiple sclerosis.

Authors Purpose Design/sample Instruments/measures Results
O’Hara, De Souza, & Ide (2000) 1. To assess the extent to which a community population of people with MS practice self-care to manage their condition
2. To identify common self-care practices
3. To establish whether a consensus exists regarding priorities in self-care
Design
Qualitative research strategy
Delphi survey
Grounded theory approach
Sample
136 people diagnosed with MS, as confirmed by general practitioners. Response rates: round 1 N = 136 (68%), round 2 N = 131 (96%), round 3 N = 126 (95%).
Round 1
Task: List up to 10 things you do for yourself because of your MS. Categories were elicited from the data by thematic content analysis in a grounded theory approach.
Round 2
Task: Rank your top 10 priorities out of 17 key areas from round 1
Round 3
Task: Indicate whether or not you agree with the group rankings
Round 1
101 people reported using 10 or more self-care practices (74%)
These were categorized into 17 areas for the main survey
Round 2
Most categories within the top 10 in round 1 remained in the top 10 in round 2
Round 3
Priorities in self-care in round 3 were ranked as follows (mean rank):
1. Coping (1.5), 2. ADL (3.6), 3. Social life (3.7), 4. Rest (5.2), 5. Mobility (5.7), 6. Dietary supplements (6.5), 7. Medication (6.6), 8. Exercise (7.0), 9. Leisure (7.2), 10. Conventional therapy (8.2)

Courts, Buchanan, & Werstlein (2004) To investigate the lived experience of people with MS and to examine their needs from their own perspective Design
Qualitative research strategy
Focus group interview; two focus groups held
Sample
10 individuals affiliated with the Multiple Sclerosis Society (MSS)
Each focus group lasted approximately 1.5–2 h. Focus group audiotapes were transcribed verbatim and analyzed by the investigators to identify themes. Four themes identified
Nobody’s listening
Based on participants’ feelings
Symptom devastation
Based on descriptions of the overwhelming presence of symptoms with accompanying lifestyle changes
Pick and choose
Described activities to maintain a sense of control over life, and the progression of denial
Fight your own fight
Described becoming a “self-advocate” and taking charge of lifestyle changes

Isaksson & Ahlström (2008) To describe the methods used by patients with MS to manage chronic sorrow and to apply these management methods to the theoretical model of chronic sorrow Design
Qualitative research strategy
Qualitative latent content analysis
Sample
38 participants identified in the previous study (2005) as experiencing chronic sorrow
Interview aided by the Swedish version semi-structured, open-ended interview guide developed by the Nursing Consortium for Research on Chronic Sorrow (NCRCS), Swedish version. Qualitative latent content analysis. Theoretical model used to sort the narrative text. Management of chronic sorrow in patients with MS
Ineffective internal management
Theme: Struggling with vulnerability
Ineffective external management
Theme: Deficient affirmation
Discomfort
Theme: Sorrow resulting from vulnerability
Effective internal management
Theme: Mastering with realistic awareness
Effective external management
Theme: Endorsing management
Increased comfort
Theme: Appreciation of life and trust in the future

Malcomson, Low-Strong, & Dunwoody (2008) 1. To explore personal accounts and experiences of individuals with MS who felt able to cope with the disease in day-to-day life
2. To use this information to advise others on coping techniques or strategies to maximize quality of life/well-being in day-to-day life
Design
Qualitative research strategyFocus group interview; two focus groups heldThematic analysis
Sample
13 individuals affiliated with the MS Society in Northern Ireland
Focus groups lasted 90 min each. Groups were video- and audiotaped and transcribed verbatim by researchers.
Thematic analysis is “a method of identifying, analyzing, and reporting patterns (themes) within data”
Theme and subthemes
Something is wrong
Distress, uncertainty, and fear
Getting a diagnosis
Prolonged
Unsupportive and unhelpful
Feelings
Getting help
Lack of psychosocial support
Consequences to lifestyle
Interpersonal consequences
Changing employment circumstances
Major challenges
Getting on with day-to-day life
Proactivity
Perspective
Control via self-management
Advice for others with MS
Self-management and perspective
Advice for health professionals
Personal needs
Guidance and information
“Expert” patients and peer support

Hessen, Kasper, Segal, Köpke, & Mühlhauser (2004) To describe possible prerequisite factors for patient participation in people with MS, such as patient role preferences, MS risk knowledge, perceived subjective knowledge level, and information interest Design
Descriptive correlational study (comparative descriptive design)
Sample
100 randomly selected patients in each group: primary progressive (PP) and relapsing-remitting (RR) disease169 patients with MS (out of 213; response rate 79%)
MS risk knowledge (MSK) questionnairePerceived level of knowledge (PLK)
Information interest questionnaire
Role preference scale
12-item instrument used to obtain MS demographic data
Decisional role preferences
Most patients ranked shared decision-making (n = 65) and informed choice style highest (n = 60); 79% of patients preferred active roles. Strongest correlation (Pearson’s r = 0.4, p = .05) between MSK and role preference was found in the patient group with the shortest disease duration. PLK was also significantly correlated with different role preferences, supporting the link between autonomy and knowledge (ANOVA F (4; 135) = 3.1, p = .018).
MSK and PLK
Mean knowledge score was 6.4 (SD: 2.4), representing 34% of possible correct answers. Highest MSK score was seen in patients with a recent (maximum 1 year) MS diagnosis, followed by RR and PP patients (ANOVA F (2; 166) = 15.9, p = .001). The RR subgroup answered 38% of questions correctly compared with 27% in the PP group. Recently diagnosed patients had the highest MSK scores (ANOVA F (3; 163) = 7.1, p = .000).
Information interest
Major information interests were related to alleviation of symptoms and MRI. PP patients showed strong interest in treatment of gait disturbances and physiotherapy, followed by experimental therapies. Immunomodulatory therapies were among the minority of areas chosen in the whole cohort and in the subgroups. Patients with knowledge scores in the upper quartile rated the knowledge item “validity of studies” among the top three. In the three other patient groups, this item was not mentioned among the top 10.

Bishop & Frain (2007) To describe the development and psychometric analysis of the Multiple Sclerosis Self-Management Scale (MSSM) Design
Item generation and scale development
Pilot testing and revision
Sample
266 individuals with MS: random sampling from the mailing lists of three chapters of the National MS Society in the Southeastern United States
Questions concerning demographic and MS-related information
Multiple Sclerosis Impact Scale (MSIS-29)
Delighted-Terrible Scale (DTS; an overall QOL scale)
Multiple Sclerosis Self-Management Scale (MSSM)
Factor Analysis
One of the 39 items was loaded ≤ .30 on all factors and was dropped. The final MSSM included 38 items.
Cronbach’s α = 0.86
Mean of overall MSSM scale: 157.72 (SD: 16.46).
Replicability supported by similarities in means among sexes and across educational backgrounds and race.
Seven factors identified:
Factor 1, treatment adherence (7 items)
Factor 2, care provider–patient relationship (5 items)
Factor 3, emotional health and social support/resources (8 items)
Factor 4, health and symptom awareness (4 items)
Factor 5, MS knowledge and information (5 items)
Factor 6, health maintenance behavior (5 items)
Factor 7, communication about symptoms or changes (5 items)
Construct validity assessed by correlation with QOL and MSIS-29:
Moderately positive correlation between MSSM and DTS (r = 0.45, p = .000)
Moderately negative correlation between MSSM and both the psychological health impact scale (r = −0.39, p = .000) and the physical health impact scale (r = −0.28, p = .000)

Self-management regimens

Self-management regimens were identified in four studies that described patient experiences18,19,20,21) and one that described the development and psychometric analysis of the Multiple Sclerosis Self-Management Scale22). Because self-management encompasses a large number of topics, the present study classified self-management according to the three following tasks, described by Lorig and Holman10).

Medical management

Medical management describes managing health problems through modified behaviors, such as taking medications, adhering to exercise and diet plans, going to the doctor, and using medical devices10, 23). To assume responsibility for management of their disease, it is important for people with MS to understand the disease and know how it affects them as individuals18, 20, 22). Malcomson et al. reported that keeping up to date with the latest research on MS increased patients’ knowledge and empowerment20). Furthermore, people with MS must know their own limitations, because patient experiences of different symptoms are unique to each individual20). Understanding and familiarity with one’s own case of MS is considered the first step in the self-management regimen, and relates to how patients ultimately participate in their treatment.

Active participation in treatment is important in medical management. Taking medication based on an understanding of its effects is the primary regimen, and medication adherence is expected from patients as part of their daily routines21, 22). Disease-modifying drugs, such as immunomodulating drugs and immunosuppressant drugs, are known treatments for MS24) and are most effective when started early and taken on a generally long-term basis; some cases require self-injection of drugs. Therefore, adherence to treatment is an important regimen in management of MS symptoms. Participation in conventional therapies, such as physiotherapy, speech therapy, and counseling, is another medical regimen that people with MS must consider21).

Patients should not only actively participate in their treatment, but also strive to maintain their own health status20,21,22). The most important health maintenance behavior is exercise, such as stretching, swimming, walking, and yoga. Rehabilitation is another treatment for people with MS. Patients reportedly recognized that appropriate exercise was beneficial both for maintaining their physical status and for coping with emotional issues20). When engaging in exercise, people with MS must incorporate rest so as to minimize fatigue20, 21). They must know their symptoms and capabilities to ensure they have enough energy to get through the day; regular rest is an essential part of their regimen. Dietary supplements, such as vitamins, minerals, and oils, are also essential to maintain health21).

A cooperative relationship between patients and healthcare providers facilitates active participation when people with MS take control of their own health condition. However, some negative experiences were reported by people with MS; studies showed that some healthcare professionals paid attention only to patients’ physical signs and symptoms and did not address other concerns, such as psychosocial issues and potential lifestyle changes18, 20). Building trusting relationships between patients and healthcare professionals is a fundamental task in medical management.

Role management

Role management describes maintaining, changing, and creating new meaningful behaviors and life roles to allow people with MS to carry out normal activities10, 23). MS symptoms have adverse effects on patients’ daily activities. Specifically, activities of daily living (ADL) and mobility are major issues for patients with MS21). Patients must be creative in developing new ways to maintain independence in ADL, and many employ assistive devices, such as wheelchairs, to maximize their mobility.

Symptoms and behavior modification also affect patients’ social lives. People with MS tend to adjust their social lives based on their conditions to maintain and develop their social networks20, 21). Malcomson et al. reported that fatigue or urinary urgency or frequency required patients to meticulously plan their daily schedules20). Several patients also made changes to their employment circumstances or left work due to mobility issues and the impact of fatigue. People with MS hoped to maintain their social lives as much as possible and to foster a sense of purpose by contributing to society. Such regimens relate to social life adjustments.

When patients assume role management, strong support from their family and friends is indispensable20, 22). Patients also were reported to value the opportunity to meet with others who have MS, which allowed them to share experiences and advise each other. Serious decision-making is a precursor to changing and creating new meaningful behaviors and life roles. Therefore, seeking and accepting support can be considered a meaningful regimen.

Emotional management

Emotional management concerns dealing with the emotional changes associated with a chronic condition, such as anger, fear, frustration, depression, uncertainty about the future, and changed expectations and goals10, 23). O’Hara et al. reported that coping, which involves the use of cognitive or behavioral strategies to handle stress, was the highest priority among people with MS21). Because people with MS experience uncertainty and unpredictability related to their illness after diagnosis, the authors’ findings are consistent with the common trajectory of MS patients’ experiences. People with MS must cope with the stress associated with MS symptoms and everyday life using methods such as relaxation, aromatherapy, and low-impact exercise, like yoga and swimming20).

Because MS is a personally intrusive condition and requires patients to rethink their life goals and plans, people with MS experience a range of feelings, such as distress, fear, frustration, worthlessness, and reduced self-esteem, both before and after diagnosis20). Patients have attempted to manage their feelings by staying aware of them, being open and honest, and having the confidence to seek help. As described by Isaksson and Ahlström, some people with MS were able to find ways to effectively manage chronic sorrow19). Internal management methods involved distraction for comfort, acceptance and adjustment, “can-do” attitudes, positive and constructive thinking, creation of hope, and personal care. External management methods included care and encouragement from family, respectful acknowledgment from friends, and confirmation from healthcare personnel. In contrast, Courts et al. reported denial as a defense mechanism for controlling the emotional impact of MS’s intrusion into patients’ daily lives18).

Patient preferences

Patients’ preferences reflect their wishes regarding self-management. Only one article was identified that related to MS patient preferences in terms of self-management. Hessen et al. explored patients’ decisional role preferences, knowledge of risks, and interest in information, as well as the relationships among these factors25). Seventy-nine percent of patients preferred to take an active role in areas such as informed choices and shared decision-making in the course of treatment. People with MS showed interest in obtaining information related to alleviation of symptoms and MRI to determine symptom progression, followed by knowledge of relapses, including knowledge of steroids and eastern complementary medicine.

Context of Self-Management for People with MS

Although some self-management contexts for people with MS are discussed in the section on self-management regimens and preferences, the present study tried to identify them by adding five articles (Table 2). Each aspect of context was classified among three contextual factors—condition-specific factors, physical and social environments, and individual and family characteristics—which are described by the Individual and Family Self-Management Theory26).

Table 2. Context of self-management for people with multiple sclerosis.

Authors Purpose Design/sample Instruments/measures Results
Paterson, Thorne, & Russell (2002)
*“Chronic illness” refers to type 2 diabetes, HIV/AIDS, or MS
To investigate the nature of self-care decision-making in chronic illness to develop a comparative analysis of disease and identify patient criteria to evaluate self-care decision-making across diseases Design
Qualitative research strategy
Sample
21 English-speaking individuals over the age of 18 who received treated for either type 2 diabetes, HIV/AIDS, or MS for a period of at least 3 years (7 individuals in each disease category)
Multiple data-collection methods used:
1. A modified “think-aloud” technique
2. Audiotaped formal interviews
3. Final focus group
Data collection and analysis were conducted concurrently using a constant comparative analytic approach. Initial analytic framework was built on the authors’ previous research.
Self-care decision making in chronic illness has both general and disease-specific features
Timeliness
Affected number of everyday decisions and perceived prognosis
Interaction within a social context
Patients’ disease influenced their social interactions, and their social interactions determined the meaning and significance of their decisions
Biomarkers
Physiological indicators and symptoms typically associated with the disease
Healthy practices
Considered an aspect of self-care decision-making by all participants
Information
The quantity and nature of information available about the disease and its management influenced the meaning and significance of self-care decision-making, particularly decisions about consulting others and adhering to prescribed regimens

Thorne, Harris, Mahoney, Con, & McGuinness (2004)
*“Chronic illness” refers to end-stage renal disease (ESRD), noninsulin-dependent diabetes mellitus (NIDDM), MS, and fibromyalgia (FM)
To examine commonalities and variations across theoretically selected disease categories to develop initial conclusions about the general field of healthcare communication in chronic illness Design
Qualitative research strategyGrounded theory
Sample
38 individuals representing four chronic conditions recruited from various local clinics and healthcare practices (12 with MS, 10 with FM, 7 with ESRD, and 8 with NIDDM)
Data collection
Face-to-face interviews and focus groups:
Eight participants involved in focus group discussion
Eight healthcare professionals experienced in care of people with chronic illness involved in interviews during a final research phase.
Common communication themes
Patients indicated the importance of healthcare communication at three distinct levels
Courtesy
Pertained to the general tone of interactions related to scheduling, everyday politeness, remembering names, and feeling welcome within the clinic or office
Respect
Pertained to individual consultations between patients and healthcare practitioners
Engagement
An extension of courtesy and respect

Grytten &Måseide (2006) 1. To investigate how people with MS experience attitudes toward MS and how they act on stigma in personal relationships
2. To explore the situational significance of stigma by elaborating on social relationships in networks and how people manage the experience of stigma within the social networks of everyday life
Design
Qualitative research design
Grounded theory approach
Sample
14 informants: five recruited by physicians, five by the local MS, and four by a support group
Unstructured interviews with flexible and open-ended questions
The constant-comparison method originating from the grounded-theory method of Glaser and Strauss
Stigma and the experience of being ignored
Invisible symptoms and inability to communicate the presence of the disease cause ignoring: polite inattention toward the illness.
Networks and the dilemma of acknowledgment
Networks may overemphasize acknowledgement of MS and run the risk of negotiating yet another conflicting meaning; well-intentioned acts by those in close relationships with MS patients might represent a dilemma.
Coping systems and construction of MS
Individuals with MS established social relationships with relatives and other people with MS to obtain moral support and affirmation in approaching social contexts. Coping systems are especially relevant when people with MS face new situations that threaten their identity.
Development of a coping system
Coping systems are created to counteract social isolation and negotiate acknowledgment of MS resulting from stigma.

Fraser & Polito (2008) To examine whether there was a difference in self-efficacy between men and women with RRMS and progressive MS Design
Comparative descriptive design
Sample
Convenience sample of 556 individuals with RRME and progressive forms of MS who completed the MSSE and demographic questionnaire
Multiple Sclerosis Self-Efficacy Scale (MSSE):
Contains 18 items rated on a scale of 10–100 regarding how certain individuals are that they will be able to perform specific behaviors
Demographic questionnaire
Women scored significantly higher on the MSSE function subscale (M = 734) than men (M = 667; t = 3.4, p = 0.002)
Women scored higher on the MSSE control subscale (M = 595) than men, but not significantly (M = 556; t = 1.5, p = 0.14)
Men with RRMS scored significantly higher on the MSSE control subscale (M = 593) than men with progressive MS (M = 534; t = 2.02, p = 0.05)
Men with RRMS scored significantly higher on the MSSE function subscale (M = 759) than men with progressive MS (M = 539; t = 6.2, p = 0.000)
Women with RRMS scored significantly higher on the MSSE control subscale (M = 619) than women with progressive MS (M = 492; t = 5.4, p = 0.000)
Women with RRMS scored significantly higher on the MSSE function subscale (M = 777) than women with progressive MS (M = 555; t = 11.2, p = 0.000)

Peters, Somerset, Campbell, & Sharp (2003) To ascertain variables independently associated with attendance at meetings and variables related to the level of perceived helpfulness among attendees Design
Descriptive correlational design
Sample
Stratified random sample: 200 practices from eight randomly selected health boards or authorities invited to participate, two from each of four geographical areas.
67 agreed to participate, with similar participation rates across areas.
As anticipated, an average of eight people with MS were registered with each practice
Cross-sectional survey using a postal questionnaire
Explanatory variables
1. Sociodemographic
2. Illness-related
3. Support-related
4. Self-management
5. Psychosocial
6. SF-36 social function score
Special meetings
Only 136 (43%) had attended a meeting for people with MS. This proportion was higher among those with progressive MS (likelihood ratio x2 = 9.6, d.f. = 3, p = 0.02). Of the 126 respondents, 20% found the meetings “not at all helpful”, 30% “slightly helpful”, 27% “moderately helpful”, and 24% “very helpful”.
Variables associated with any attendance at special meetings
Univariate analyses
Nine of the 23 variables were statistically significant at the 5% level in single-variable logistic regression analyses
Multivariate analyses
The final model contained three variables: age group, contact with any health professional, and information factor
Likelihood of attending roughly doubled between ages 45 and 64 years
Among those who had contact with any health professional in the past 12 months, likelihood of attendance increased nearly sixfold
For an increase of 1 in the information factor score, likelihood of attending decreased by approximately 30%
Variables associated with the helpfulness of meetings
Univariate analyses
Four of the 23 variables were statistically significant at the 5% level in single-factor proportional odd regression models: an item relating to support (p = 0.018), self-management issues (p < 0.0001), the SF-36 mental health score (p = 0.0016), and the BDI score in four categories (p = 0.0052)
Multivariate analyses
The last meeting attended was perceived as most helpful among those with mild depression (odds ratio = 1.91) and least helpful among those with more severe depression (odds ratio = 0.44). Lower levels of contentment regarding ability to access MS-related information were associated with reduced perceived helpfulness of the last meeting attended.

Condition-specific factors

Condition-specific factors are physiological, structural, or functional characteristics of the condition and its treatment or prevention that impact the number, type, and importance of behaviors needed to manage it26). As mentioned in the section on self-management regimens, the characteristics of MS, such as its devastating symptoms, affect patients’ self-management18). Features such as a protracted diagnostic process were related to healthcare communication27). Biomarkers such as fatigue affected the significance of self-care decisions for people with MS28). Moreover, the type of MS was associated with self-efficacy29). Because it is difficult for others to understand the variety of personal differences and the sometimes invisible symptoms experienced by people with MS, symptoms unique to each patient affect their self-management regimens.

Physical and social environments

Environmental factors can be physical or social, including access to healthcare, transitions in healthcare providers or settings, transportation, neighborhood, work, school, culture, and social capital, and can either enhance life or present barriers26). As stated in the section on role management, physical factors, such as the availability of mobility aids and certain employment circumstances, affected self-management in people with MS with respect to social life20, 21). Likewise, others’ lack of knowledge about MS was related to ineffective management of chronic sorrow19), and self-management was further affected by social relationships30) and interactions within the social context28). Interpersonal encounters stigmatized people with MS via one of two processes, either ignoring or overemphasizing the illness, in social relationships30). Stigma within a social network led to a sense of “feeling more ill” in patients, and may interfere with their active engagement in managing their own care. Paterson et al. found that MS influenced social interactions for patients, determining the significance of their decisions. For example, the visibility of MS symptoms often exposed people with MS to public scrutiny, causing them to avoid moving in public settings for fear of being regarded as “handicapped”28).

Healthcare professionals were reported to play an important role in MS patients’ social environments27, 31), given that patients seek their advice and support31). However, patients reported cases of ineffective communication with healthcare professionals, such as lack of respect or engagement and highly adversarial interactions27). Such attitudes taken by healthcare professionals may discourage effective self-management.

Individual and family characteristics

Factors related to individuals and families may enhance or diminish self-management26). Sociodemographic factors, such as age and sexuality, may also influence self-management29, 31). Moreover, the ability and means to access MS-related information reportedly affected patients’ attitudes toward attending meetings31). As mentioned in the section on medical management, understanding of MS and familiarity with the individual characteristics of one’s own disease is reflected in self-management skills20). Furthermore, family support for people with MS influences self-management. In an overlap with social environment factors, lack of acknowledgment or overemphasis of MS by family members created a sense of stigma among patients30). Appropriate recognition of MS within the family was an effective contextual factor supporting self-management in people with MS.

Outcomes of Self-Management

Ten articles were selected for inclusion in this review to identify the outcomes of self-management on people with MS (Table 3), of which four described self-management regimens and outcomes and the other six self-management intervention programs and evaluated outcomes. Two of the six interventions focused on overall self-management. One was not disease specific32); another focused specifically on MS33). Two studies used the same wellness intervention program17, 34). Another intervention focused on physical activities35), and the final intervention focused on management of cognitive symptoms36). Based on these studies, two types of outcome were described, discussed separately in this review: the effects of self-management intervention, and the final consequences of self-management.

Table 3. Outcomes of self-management for people with multiple sclerosis.

Authors Purpose Design/sample Instruments/measures Results
Shaw, Logan, Webber, Broome, & Samuel (2008) To describe the experience of people carrying out CISC and the impact on their quality of life Design
Qualitative methodology
Grounded theory approach
Sample
Sampling frame: all those registered with the continence services in Wales and regularly using self-catheterization
15 individuals agreed to take part in the study
Data collection
Semi-structured interview
Data analysis
Grounded theory approach
Impact on quality of life
Positive impact
Related to alleviation of lower urinary tract symptoms leading to CISC therapy. Symptoms of urgency, frequency, and incontinence had a major impact on people’s lives, and CISC greatly relieved the consequences of these symptoms.
Negative impact
Impact on daily activities and social activities
Physical impact
Carrying out CISC
Psychological impact
Factors explaining variation in impacts on quality of life
Six first-order categories identified:
1. “Reasons for carrying out CISC”
2. “sex”
3. “Type of catheter”
4. “Frequency of carrying out CISC”
5. “Duration of CISC”
6. “Lifestyles”

Shevil &Finlayson (2009) To evaluate a group-based, cognitive self-management intervention program developed specifically for people with MS Design
Mixed-method study design: Qualitative (focus group) and quantitative (descriptive)
Sample
31 individuals who met eligibilty criteria and attended at least four intervention sessions
Intervention
“Mind over matter: learning to manage cognitive symptoms in multiple sclerosis”
Focus group interview
Focus groups conducted during the second half of the fifth session in each cycle
Program evaluation questionnaire
Telephone-administered by a trained research assistant 6 to 10 days after the program ended
Facilitator reflection notes
Completed by the facilitator
Of the 35 participants, 22 attended all five sessions, suggesting that the program was interesting and met their needs. Most items received a mean rating above 6 or 7.
Process evaluation categories and subthemes
Course content
1. Increasing knowledge and awareness of cognitive changes
2. Problem solving through cognitive challenges
3. Practicing solutions and strategies
4. Emotional and social implications
5. Changing perceptions
Format and methods of delivery
1. Repetition
2. Group-based intervention
3. Length
4. Handouts
5. Homework
6. Between-session calls
7. Facilitator
8. Location
Recommended changes
1. Incorporation of caregivers
2. Additional content

Bishop, Shepard, & Stenohoff (2007) To describe an evaluation of the disability centrality model among a sample of people with MS Design
Descriptive correlational study
Theoretical framework
Bishop (2005) developed the Disability Centrality Model
Sample
98 adults with MS on the mailing list of a chapter of the National MS Society located in the Southeastern United States
Instruments
Delighted-Terrible Scale (DTS)
Ladder of Adjustment
Disability Centrality Scale (DCS)
Self-Management Scale
Intervariable correlations
All correlations were in the predicted direction
Mediation analysis
Domain satisfaction was regressed on domain impact (p < 0.0001). QOL was regressed on domain impact (p = 0.002). QOL was regressed on both domain impact and domain satisfaction. The relationship between domain satisfaction and QOL was significant (p < 0.0001), and the previously significant relationship between impact and QOL was no longer significant (p = 0.774). The Sobel test supported the mediating role of satisfaction in the relationship between impact and QOL (p < 0.0001).
Domain control was regressed on domain impact (p < 0.001). QOL was regressed on domain impact as described in analysis 1. QOL was regressed on both domain impact and domain control. The relationship between domain control and QOL was significant (p < 0.0001), and the previously significant relationship between impact and QOL was no longer significant (p = 0.540). The Sobel test supported the mediating role of control in the relationship between impact and QOL (p < 0.0001).
Moderation analysis
The hypothesized moderating effect of importance was supported by the significant path from the interaction term to overall QOL (p = 0.053; B = 0.656) and the significant change in R2 when the interaction term entered the regression equation.

Bishop, Frain, & Tschopp (2008) To explore the relationships between perceived control, self-management, and subjective quality of life (SQOL) among a sample of adults with MS Design
Descriptive correlational design
Conceptual framework
Included the illness intrusiveness model and the disability centrality model
Sample
157 adults with MS randomly selected from the mailing lists of two chapters of the National MS Society located in the Southeastern United States
Delighted-Terrible Scale (DTS)Disability Centrality Scale (DCS)Multiple Sclerosis Self-Efficacy Scale (MSSE)
Multiple Sclerosis Impact Scale (MSIS-29)
Intervariable correlations
Self-management, perceived control, the importance–satisfaction interaction term, and SQOL were all significantly positively correlated with each other and significantly negatively correlated with the two measures of MS impact
Mediation analyses
The direct effects model testing the subject impact of MS on SQOL demonstrated adequate fit, and the chi-square test statistic was significant, p = 0.000. The path coefficient from subjective MS to SQOL was significant and negative, β = −0.38, t (1,155) = −5.09, p < 0.001.
The direct effects model testing the symptom impact score on SQOL demonstrated adequate fit, and the chi-square test statistic was significant, p= 0.000. The path coefficient from combined MSIS-29 scores to SQOL was significant and negative, β = −0.64, t (1,155) = −9.973, p < 0.001.
The full model for subject impact provided a slightly improved fit, and the chi-square test statistic was still significant, p = 0.000. The path coefficient from subjective MS to SQOL was no longer significant, β = −0.111, t (4,155) = −1.802, p = 0.074, indicating full mediation.
The full model for symptom impact provided an improved fit, and the chi-square test statistic was still significant, p = 0.000. The path coefficient from symptom impact to SQOL remained significant but was reduced, β = −0.007, t (4,155) = −3.218, p = 0.002, indicating partial mediation.
The modified model provided an improved fit over the prior model, and the chi-square test statistic became nonsignificant, p = 0.11. The path coefficient from MS impact to SQOL remained nonsignificant, β = −0.106, p < 0.069, suggesting full mediation.
The modified model with symptom impact provided an improved fit over the prior model, and the chi-square test statistic was nonsignificant, p = 0.126. The path coefficient from MS impact to SQOL remained significant, but was reduced from the direct effects model, β = −0.249, p = 0.002, suggesting partial mediation.

Simmons, Tribe, &McDonald (2010) 1. To measure employment rates in MS patients both cross-sectionally and longitudinally
2. To assess the reasons for employment loss and perceived risk of future employment loss
Design
Descriptive correlational design
Sample
AMSLS’s Australian volunteers with MS, recruited with the assistance of MS societies in all states and territories.
In 2003, 1,135 people responded (53%).
In 2007, 1,329 responded (57%).
667 patients responded to both surveys.
Questionnaire
Distributed to participants in the AMSLS in 2003 and 2007. Covered the following:
1. Economic circumstances, including questions on present and past employment
2. Self-reported reasons for employment loss and risk of current employment loss
3. Details of living arrangements including type of residence, dependents, income, social security benefits, allowances, and health insurance coverage
Disease Steps Scale
Physician-reported disability level available for respondents within 12 months of the first survey, 2003.
Longitudinal change in employment
1. Overall 5.4% decrease in total employment over 4 years
2. Total return to employment percentage of 4.6% in 2007
3. 8.1% of participants left employment due to MS between 2003 and 2007
4. 55.9% of participants their employment due to MS in 2007
6. 64.2% of the same cohort classified as not in the paid labor force
Comparison of employment between people with MS and Australian population in 2007
Respondents with MS differed adversely and significantly from the Australian population in all employment participation categories of expert part-time employment for both men and women
Leaving employment due to MS and gender
Odds of leaving employment due to MS were 2.5 times higher in men than women (p < 0.001). Older respondents were more likely to have left employment due to MS; estimated odds of leaving employment increased by a factor of 1.3 for every decade of life (p = 0.003).
Leaving employment due to MS and employment category
In 2007, 63% of respondents who stated their employment category before MS reported having left work due to MS. There was no clear pattern to suggest an association between leaving employment due to MS and occupation type. Occupation type before MS diagnosis was not a significant predictor of leaving employment due to MS (p = 0.95).
Age of retirement
In 2007, 19.6% of women and 7.6% of men were “retired.” Mean age of retirement differed significantly between men (50.0) and women (52.5, p = 0.010).
Reasons for leaving employment
The most common reasons reported in both surveys were related to MS symptoms, particularly fatigue (69.5% of those who left employment in 2007), and physical problems involving legs or feet (43.8%), arms or hands (36.7%), balance or dizziness (31.2%), and heat sensitivity (30.0%). Of those who left work, 27.8% were advised to stop working by a doctor or health professional and 17.6% were asked to resign or fired; 19.2% were not able to find more suitable work within their organization. Less than 20% of respondents listed reasons related to transport.
Reasons for perceived risk of employment loss
The most frequently reported reasons for risk of current employment loss were MS symptoms including fatigue (77.7% of those reporting risk of employment loss in 2007); problems with legs or feet (40.8%); difficulty with memory, concentration, or thinking (49.5%); problems with arms or hands (31.1%); bladder or bowel problems (24.3%); and pain (24.3%). A total of 42.7% of those who perceived risk to their paid employment felt they “were not good enough for the job”, and 27.2% felt “too stressed by the effort”. Among the “influence from management” factors affecting employment loss risk, not being allowed flexible work hours or conditions was the most frequently reported (22.3%); workplace architectural barriers were also perceived as a risk factor (20.4%).

Plow, Mathiow, & Resnik (2008) 1. To determine the impact of physical activity (PA) interventions and experience with PA on psychosocial constructs
2. To identify constructs that correlate with PA pre- and postintervention
3. To determine whether changes in constructs are associated with changes in PA
Design
Quasi-experimental study design
Sample
50 individuals with MS recruited through a letter from the Minnesota Chapter of the National MS Society and by postings in neurology offices
Intervention
7-week group education intervention: program based on a modified wellness intervention by Stuifbergen et al.; holistic approach including topics that promote PAIndividualized physical rehabilitation intervention
Measures
Physical activity (PA): Modified Health-Promoting Lifestyle Profile II (HPLP-II)
Psychosocial constructs: Four psychosocial constructs measured at four time points.
Self-Efficacy for Exercise ScaleExpectation
Self-identity
Social support for exercise
Pretest 1 (n = 39, data missing = 3) and follow-up (n = 37, data missing = 5).
No significant differences between groups for any demographic or dependent variables.
MANOVA and effect size analysis
MANOVA of five measures indicated significance for within-subjects effects (p < 0.01), but no significance for between-subjects effects (p = 0.93).
Two-way interaction was not significant (p = 0.83).
Self-identity and PA improved significantly across both groups (p < 0.01), whereas self-efficacy (p = 0.01) and expectation (p = 0.02) decreased significantly.
Interventions in effect sizes were not more than 0.42.
Regression analysis
The pretest correlation matrix indicated that self-identity (p < 0.01), social support (p = 0.01), and expectation (p = 0.03) were significantly correlated with PA (p = 0.07).
The pretest cross-sectional regression analysis explained 44% of the variance in PA (p < 0.01):
Self-identity (β2 = 0.44, p < 0.01) and social support (β2 = 0.34, p = 0.02) had significant beta coefficients
Expectation and self-efficacy had nonsignificant beta coefficients
The follow-up correlation matrix showed that self-efficacy (p < 0.01), self-identity (p < 0.01), social support (p = 0.01), and expectation (p = 0.02) were significantly correlated with PA.
The cross-sectional regression analysis explained 38% of the variance in PA (p < 0.01):
Self-efficacy (β2 = 0.38, p = 0.04) and social support (β2 = 0.31, p = 0.04) had significant beta coefficients
Self-identity and expectation had nonsignificant beta coefficients
When previous PA was used in the analysis, 45% of the valiance was explained in follow-up PA. The p-values of beta coefficients for past behavior and self-efficacy were 0.06 and 0.09.
In the correlation matrix of construct change scores, only change in expectation showed significant correlation with PA (p = 0.03).
The regression model indicated that changes in construct measures had a small nonsignificant relationship with changes in PA (p = 0.86). Group membership has also a poor correlation with PA (p = 0.89).

Hartley (2009) To describe the development components and evaluation of the service model, which was developed to address perceived shortfall in provision for MS patients Design
Quasi-experimental study design
Sample
33 participants met the inclusion criteria; 25 completed the information and exercise sessions in the hospital; 17 participants opted to continue the exercise in the leisure center setting
Program protocol
The program was named the ACTIVE program, an acronym for advice, coping mechanisms, training, information, value your health, and exercise
Outcome measures
Physical functioning: 10-m walk test
Leeds MS Quality of Life
Fatigue Severity Scale (FSS)
Disability status: Kurtzke Expanded Disability Status Scale, Guy’s Neurological Disability Scale (GNDS)
Hospital Anxiety and Depression Scale (HADS)
Patient satisfaction: Patient satisfaction questionnaire
Analysis of mean scores for all participants at baseline and following intervention indicated improvement trends in a number of measured parameters
10-m walk test: significant improvement (z = 3.23 and p = 0.0006)
Quality of life: significant improvement (p = 0.0375)
FSS and HADS: improvements not statistically significant
GNDS: no significant changes in disability level
Participants reported a range of perceived physical and psychological benefits as a result of attendance
85% (Table 5 indicated 100%) thought the course information was helpful in increasing understanding of MS
85% rated sessions as held at a suitable time
100% rated the venue as suitable
100% rated supervision by the physiotherapist as excellent
79% rated the program as having effects on change in any aspect of life
76% preferred group to individual sessions
92% rated the service as excellent
100% rated the service provided by the health and fitness adviser as good or excellent

Stuifbergen, Becker, Blozis, Timmerman, & Kullberg (2003) To determine the effects of the wellness intervention on self-efficacy, resources, barriers, health-promoting behaviors, and QOL Design
Experimental study
RCT
Sample
113 women with MS (56 assigned to treatment, 57 assigned to control)
Intervention program
Two-phase intervention program included lifestyle change classes for 8 weeks and supportive telephone follow-up for 3 months
Treatment group
Data were collected after the program (2 months) and after 3 months of supportive telephone follow-up (5 months postintervention); total of 3 data collection points over 8 months
Control group
Control group participants had contact only with the project manager. Participants were offered the lifestyle change program and telephone follow-up after completion of the data collection period (8 months)
Instruments
Incapacity Status Scale
Barriers to Health-Promoting Activities for Disabled Persons ScalePersonal Resource Questionnaire (PRO-85, Part 2)
Self-Rated Abilities for Health Practiced Scale (SRAHP)
Health Promoting Lifestyle Profile II (HPLP-II)
36-Item Short-Form Health Survey (SF-36)
By month 8, women in the intervention group were more likely to be employed than women in the control group (x2 + 3.91, p < 0.05).
A statistically significant intervention effect, reflected in the column labeled “Group” in Table 3, was found for the total SRAHP score, suggesting that across the three follow-up occasions, individuals in the intervention condition reported greater average levels of self-efficacy after adjusting for baseline differences in self-efficacy scores and severity of impairment.
The effect of the baseline measure of severity of impairment was not statistically significant, whereas the baseline measure of self-efficacy was statistically significant, suggesting that preintervention levels of self-efficacy related positively to self-efficacy scores through follow-up.
No intervention effect was found for either the Barriers Scale or the Personal Resource Questionnaire (measure of social support)
The effects of the baseline measures of the respective variables were statistically significant, suggesting that preintervention levels of these measures related positively to respective scores across all three follow-up points.
Statistically significant intervention effects were found for all subscales of the HPLP-II.
Baseline scores on each subscale were positively and significantly related to the respective scale scores across all follow-up occasions.
In all cases, the effect of the baseline measures of severity of impairment was not statistically significant, suggesting that there was no relation between level of impairment at baseline and health-promoting behaviors across the study period.
Statistically significant effects were found for two subscales, bodily pain and mental health, after adjusting for baseline differences in the respective subscale and severity of impairment, suggesting that average scores for both scales were higher for the intervention group.
The effects of baseline measures of the individual scales were statistically significant on individual outcome variables measured across follow-up, suggesting that preintervention levels of each scale related positively to the respective scale scores across follow-up.
Statistically significant negative effects were found for physical function, role (emotional), role (physical), social functioning, and vitality in the Incapacity Status Scale, suggesting an association between lower individual scale scores across the follow-up period and higher levels of impairment severity at baseline.

Wassem & Dudley (2003) To explore the effectiveness of a nursing intervention (MS-REHAB) in promoting adjustment and symptom management in individuals with MS Design
Experimental, longitudinal study design
Theoretical framework
Based on Bandura’s (1982) social cognitive theory
Sample
27 individuals with MS in the early years following diagnosis; participants were randomly assigned to either the treatment or the control group
Intervention
MS-REHAB used four forms of behavior acquisition proposed by Bandura in his social cognitive theory. The program consisted of four 2-hour sessions, with the treatment group participants meeting once a week for four consecutive weeks.
Instruments
Variables were measured at the time of enrollment, 3 months postintervention, and every 6 months for 4 years after enrollment in the study (10 time points)
Self-Efficacy for Adjustment Behaviors (SEAB) ScalePsychosocial Adjustment to Illness Scale-Self-Report (PAIS-SR)
Self-Report Visual Analogue Scale
Modified Disability Status Scale
Hypothesis 1: symptom management would be improved in the treatment group.
Fatigue symptom management improved for the treatment group (TG) at all posttest measuresFatigue levels of the TG were lower than the control group (CG) at most points, as indicated by a group-by-time interaction (F = 1.74, p = 0.09)
Sleep disturbance scores for TG were lower than CG at the 4-year follow-up, as indicated by a group-by-time interaction (F = 1.85, p = 0.07)
Pain levels increased at all posttest points
The impact of improved sleep and decreased fatigue contributed to the significant findings for improved symptom severity scored at the 4-year follow-up, as indicated by a group-by-time interaction (F = 2.15, p = 0.003)
Hypothesis 2: self-efficacy would increase following intervention, with higher SEAB scores for TG than CG on the posttest measures (not supported)
SEAB score patterns over time did not differ between TG and CG, as indicated by the nonsignificant group-by-time interaction (F = 0.89, p = 0.55)
Hypothesis 3: adjustment for TG would be higher than CG on posttest measures (not supported)
PAIS-SR score patterns over time did not differ between TG and CG, as indicated by the nonsignificant group-by-time interaction
The pattern of total adjustment scores at one data collection point in TG was improved, but the group-by-time interaction at the 4-year follow-up was not significant (F = 0.69, p = 0.72)

Barlow, Turner, Edwards, & Gilchrist (2009) 1. To determine the effectiveness of the Chronic Disease Self-Management Course (CDSMC) for people with MS
2. To examine the characteristics of people with MS who chose not to attend the CDSMC
Design
Experimental study design
Comparative study design
Sample
Two-group, randomized, controlled trial with (random assigned)
- Intervention group (IG, n=78)
- Waiting-list control group (WLCG, n=64)
Additional data were collected from a comparison group (CG, n=74) who chose not to attend the CDSMC
Intervention
The Chronic Disease Self-Management Course (CDSMC) focused on promoting the individual’s ability to select the appropriate self-management tools to meet their current individual needs. It consisted of six weekly sessions, each lasting approximately 2 h, delivered in a community setting.
Measures
Demographic information (age, gender, race, employment status, etc.), collected at baseline only11-Item Liverpool Self-Efficacy Scale
Multiple Sclerosis Impact Scale (MSIS-29)
Pain and fatigue (10 cm, horizontal, visual analogue scales [VAS])Hospital Anxiety and Depression Scale (HADS)
Behavioral and cognitive self-management techniques (scales designed for use in evaluations of ASMP and the CDSMC)
RCT: comparison of IG and WLCG at baseline
MSIS-29 psychological impact, which was greater for the IG (p = 0.010).
RCT: 4-month follow-up comparison of IG and WLCG
CDSMC had an impact on self-management self-efficacy (ES .30, p = 0.009) and MSIS-29 physical status (ES .12, p = 0.005). There were trends toward improvement in depression (ES .21, p = 0.05) and MS self-efficacy (ES .16 p = 0.04).
RCT: 12-month follow-up comparison of IG and WLCG
Compared to responders, nonresponders in the RCT at 12-month follow-up scored statistically lower on self-management self-efficacy (mean 46.8 and 40.8, p = 0.003) and higher on depression (mean 5.7 and 7.4, p = 0.009). A repeated measures ANCOVA over time did not reveal any statistically significant changes between groups.
RCT: diet and physical activity
Approximately two-thirds of participants in the IG and WLCG reported following a “healthy diet” for at least 5 days out of the “past week” in response to questions relating to low fat, fruit, and vegetable intake; fewer followed a diet with cereals and calcium-rich foods. No significant changes were found over time. Participants drank an average of seven cups of fluid per day. Walking and stretching were the most common exercise activities, performed for >1 h during the previous week by two-thirds of all participants. There were no statistically significant changes over time.
Comparison of RCT participants and informed nonattenders (CG)
There were statistically significant differences at baseline between the RCT participants and the CG participants: CG had a higher mean age (p = 0.001), longer disease duration (p =0.009), and less anxiety (p = 0.009). Over the 12-month period of the study, there were no statistically significant changes in outcome variables for the CG.

Effects of self-management intervention

Three studies reported the effects of self-efficacy on people with MS with respect to self-management interventions. Two of the three showed positive effects of self-efficacy on self-management; they demonstrated a trend toward improvement in MS self-efficacy32) and improvement in self-efficacy for health practice17) as a result of self-management intervention. Systematic programs and continuous support based on self-management programs may increase patients’ confidence to participate in self-management regimens. In contrast, Plow et al. reported that self-efficacy and expectation of physical activity frequency decreased significantly, whereas self-identity improved34). They concluded that self-management interventions might cause changes in psychological constructs, such as self-efficacy, self-identity, and expectations.

Similarly, researchers have reported improvement in health-promoting behaviors17) and increase in patients’ understanding of MS35). Shevil and Finlayson reported that the cognitive self-management intervention program had a positive impact on management of cognitive symptoms by increasing knowledge and awareness of cognitive changes, having positive social and emotional impacts, and changing perceptions regarding cognitive changes36).

Outcomes of self-management regimens

In five studies, QOL improvement was measured as an outcome of self-management in people with MS. This is the ultimate goal for both patients and healthcare professionals. In a study by Stuifbergen et al., improvements in selected dimensions of QOL, such as bodily pain and mental health, were observed as a result of the wellness intervention program17). According to Bishop et al., self-management is strongly associated with perceived control, and both perceived control and self-management mediate the relationship between impact of MS and subjective QOL14, 37). However, as described by Hartley, the ACTIVE (Advice, Coping mechanisms, Training, Information, Value your health, and Exercise) program, which involved information sessions, supervised exercise sessions in a hospital and a leisure center, contributed significantly to improved QOL in MS patients with mild to moderate impairment35). Shaw et al. reported that symptom relief among people with clean intermittent self-catheterization had a positive effect on QOL38). In contrast, practical difficulties, urinary tract infections, and psychological and cultural contexts were reported to have a negative effect on QOL.

Improved sleep and decreased fatigue33), improved physical activity34), improved physical status and depression32), and significant improvement in walking speed were also reported35). Simmons et al. found an association between management of MS symptoms in the workplace and loss of employment and perceived risk of losing current employment for people with MS39).

Discussion

This study aimed to explore the significance and potential of self-management for people with HAM based on the results of research on self-management for people with MS, focusing specifically on three concepts: self-management regimens and patient preferences, the context of self-management, and outcomes of self-management.

First, various aspects of self-management regimens for people with MS were reported, such as medical management, role management, and emotional management. Medical management included acquiring and keeping up to date with information related to MS and treatment, understanding MS and being familiar with one’s individual disease, understanding and adhering to a course of treatment, practicing health maintenance, knowing one’s own capabilities in daily life, and building good relationships with healthcare professionals. Role management involved creating new ways to maintain independence, using aids, adjusting one’s social life, and maintaining and developing one’s social networks. Emotional management included coping with stress and managing negative feelings.

The characteristics of MS, such as a spectrum of symptoms, an uncertain course, progressive disability, and lack of cure, require patients to actively engage in self-management regimens. Regretfully, few studies have focused on the contents of self-management regimens for people with MS, leaving a gap in the literature related to self-management of MS. However, because MS patient care is already generalized and there is some degree of self-management intervention12), further study or recognition of this gap by researchers may not be necessary. Of course, standard care and self-management interventions could be based on evidence from studies and past practices. However, self-management interventions cannot advance without a continuously updated understanding of patient perspectives due to the diversity of MS symptoms and uniqueness of patient experiences. Thus, it is important to enquire further into the self-management regimens and preferences of patients with MS to affirm the philosophy that self-management is “patient-centered.” The characteristics of HAM are similarly unique to individual patients. Therefore, investigation of people with HAM will be needed to establish a standard of care for them in particular. Detailed investigation into self-management regimens from the patient perspective is important to develop effective self-management interventions that reflect the often unique nature of the disease for each individual. According to Lorig and Holman, although many concerns are shared across different diseases, behaviors, and populations, needs always differ between groups and even individuals10). Therefore, assessment of the specific needs of people with HAM is a priority. Accordingly, this reaffirms the necessity of studying the qualitative aspects of regimens and patient preferences for people with HAM.

In this literature review, some contexts of self-management were identified based on three dimensions. Condition-specific factors illustrated the features of MS, such as a protracted diagnostic process, devastating symptoms, uncertain prognosis, progressive disability, and limited medical interventions. It is difficult to understand the experiences of people with HAM due to their complex backgrounds; the number of patients is small, there is no cure, the disease is infectious, and it can manifest in a variety of possible symptoms. Healthcare professionals who aspire to provide effective self-management support should understand these features of the disease and the lived experiences of people with HAM.

Physical and social environmental contexts included the impact of physical conditions in social life, social relationships, and social interactions. Social environments influenced the psychological aspects of MS, as well as its significance and meaning. Environmental factors can be facilitative but also obstructive in the self-management of people with MS; thus, further research must investigate how different contexts mediate self-management. In particular, MS patients often felt stigmatized by interpersonal encounters. This presents the possibility that HAM patients may also experience stigmatization in social interactions. HAM is not as socially recognized and is apt to be misunderstood because its symptoms vary by individual. Moreover, HAM is an infectious disease that carries a lingering stigma toward viral infection, because it is in the same family as HIV and HBV. For these reasons, people with HAM may not feel comfortable disclosing their disease to others or consulting others about their chronic condition. It would be meaningful to focus on stigmas in future studies, because stigma may affect patients’ active engagement in self-management.

Individual characteristics included demographic factors, recognition of MS-related information, and familiarity with one’s individual case of MS. Family characteristics included capacity to support people with MS; however, limited literature exists on family characteristics. Family has a continuous effect on patients’ self-management regimens. Further investigation of patient–family relationships, family functioning, and the effects of these factors on patients’ self-management practices is necessary. Previous studies have found that family interactions and relationships affect HAM patients’ decision-making. Therefore, there is a need for research exploring the meaning of family with respect to self-management in people with HAM.

Self-management interventions not only directly affect self-management regimens but also indirectly affect some contextual factors, such as self-efficacy and increased knowledge and understanding of MS. Some studies demonstrate the efficacy of self-management interventions for people with MS. Self-management also leads to some positive outcomes for people with MS regarding specific symptoms, physical status, and psychosocial consequences. With respect to QOL, the outcomes of self-management can be both positive and negative. Given the varying symptoms of MS and its impact on patients, QOL was investigated from both quantitative and qualitative approaches. This study suggests a need to explore in detail the meaning of self-management for QOL in people with HAM.

Conclusion

This literature review inductively affirmed the significance and potential of investigating self-management for people with HAM. It has provided a foundation of knowledge and understanding for an investigation of self-management for people with HAM.

Conflict of Interest

The authors have no conflicts to disclose regarding the publication of this paper.

Acknowledgement

This work was supported by JSPS KAKENHI Grant Numbers JP23792599, JP15K11590.

References

  • 1.World Health Organization Innovative care for chronic conditions: building blocks for action: global report. 2002; http://www.who.int/diabetesactiononline/about/icccreport/en/index.html.
  • 2.Holman H, Lorig K. Patient self-management: a key to effectiveness and efficiency in care of chronic disease. Public Health Rep 2004; 119: 239–243. doi: 10.1016/j.phr.2004.04.002 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 3.Osame M. Review of WHO Kagoshima meeting and diagnostic guidelines for HAM/TSP. in Human Retrovirology: HTLV. Blattner, W. A, Eds. Raven Press, New York, 1990; 191–197.
  • 4.Yamaguchi S. Structure of the “Illness” in patients with HTLV-I- associated myelopathy: a phenomenological study (Unpublished master’s thesis). Kagoshima University, Kagoshima, Japan, 2005. (in Japanese, Abstract in English).
  • 5.Lorig K. Self-management of chronic illness: a model for the future. Generations 1993; 17: 11–14. [Google Scholar]
  • 6.Gibson PG, Powell H, Wilson A. Self-management education and regular practitioner review for adults with asthma. Cochrane Database Syst Rev 2002; 3. [DOI] [PubMed] [Google Scholar]
  • 7.Deakin T, McShane CE, Cade JE. Group based training for self-management strategies in people with type 2 diabetes mellitus. Cochrane Database Syst Rev 2005; CD003417. [DOI] [PubMed] [Google Scholar]
  • 8.Riegel B, Moser DK, Anker SD. American Heart Association Council on Cardiovascular NursingAmerican Heart Association Council on Cardiovascular NursingAmerican Heart Association Council on Clinical CardiologyAmerican Heart Association Council on Nutrition, Physical Activity, and MetabolismAmerican Heart Association Interdisciplinary Council on Quality of Care and Outcomes ResearchState of the science: promoting self-care in persons with heart failure: a scientific statement from the American Heart Association. Circulation 2009; 120: 1141–1163. doi: 10.1161/CIRCULATIONAHA.109.192628 [DOI] [PubMed] [Google Scholar]
  • 9.Stanford Patient Education Research Center Stanford Self-Management Programs. 2010; Retrieved from http://patienteducation.stanford.edu/programs/.
  • 10.Lorig KR, Holman H. Self-management education: history, definition, outcomes, and mechanisms. Ann Behav Med 2003; 26: 1–7. doi: 10.1207/S15324796ABM2601_01 [DOI] [PubMed] [Google Scholar]
  • 11.Barlow J, Wright C, Sheasby J. Self-management approaches for people with chronic conditions: a review. Patient Educ Couns 2002; 48: 177–187. doi: 10.1016/S0738-3991(02)00032-0 [DOI] [PubMed] [Google Scholar]
  • 12.Rae-Grant AD, Turner AP, Sloan A. Self-management in neurological disorders: systematic review of the literature and potential interventions in multiple sclerosis care. J Rehabil Res Dev 2011; 48: 1087–1100. doi: 10.1682/JRRD.2010.08.0159 [DOI] [PubMed] [Google Scholar]
  • 13.National Multiple Sclerosis Society Symptoms. 2010; Retrieved from http://www.nationalmssociety.org/about-multiple-sclerosis/what-we-know-about-ms/symptoms/index.aspx.
  • 14.Bishop M, Frain MP, Tschopp MK. Self-management, perceived control, and subjective quality of life in multiple sclerosis- an exploratory study. Rehabil Couns Bull 2008; 52: 45–56. doi: 10.1177/0034355208320000 [DOI] [Google Scholar]
  • 15.Stuifbergen AK. Health-promoting behaviors and quality of life among individuals with multiple sclerosis. Sch Inq Nurs Pract 1995; 9: 31–50, discussion 51–55. [PubMed] [Google Scholar]
  • 16.Stuifbergen AK, Becker HA. Predictors of health-promoting lifestyles in persons with disabilities. Res Nurs Health 1994; 17: 3–13. doi: 10.1002/nur.4770170103 [DOI] [PubMed] [Google Scholar]
  • 17.Stuifbergen AK, Becker H, Blozis S. A randomized clinical trial of a wellness intervention for women with multiple sclerosis. Arch Phys Med Rehabil 2003; 84: 467–476. doi: 10.1053/apmr.2003.50028 [DOI] [PubMed] [Google Scholar]
  • 18.Courts NF, Buchanan EM, Werstlein PO. Focus groups: the lived experience of participants with multiple sclerosis. J Neurosci Nurs 2004; 36: 42–47. doi: 10.1097/01376517-200402000-00007 [DOI] [PubMed] [Google Scholar]
  • 19.Isaksson AK, Ahlström G. Managing chronic sorrow: experiences of patients with multiple sclerosis. J Neurosci Nurs 2008; 40: 180–191. doi: 10.1097/01376517-200806000-00009 [DOI] [PubMed] [Google Scholar]
  • 20.Malcomson KS, Lowe-Strong AS, Dunwoody L. What can we learn from the personal insights of individuals living and coping with multiple sclerosis? Disabil Rehabil 2008; 30: 662–674. doi: 10.1080/09638280701400730 [DOI] [PubMed] [Google Scholar]
  • 21.O’Hara L, De Souza LH, Ide L. A Delphi study of self-care in a community population of people with multiple sclerosis. Clin Rehabil 2000; 14: 62–71. doi: 10.1191/026921500666135189 [DOI] [PubMed] [Google Scholar]
  • 22.Bishop M, Frain M. Development and initial analysis of multiple sclerosis self-management scale. Int J MS Care 2007; 9: 35–42. doi: 10.7224/1537-2073-9.2.35 [DOI] [Google Scholar]
  • 23.Lorig K, Holman H, Sobel D. Living a healthy life with chronic conditions: Self-management of heart disease, arthritis, diabetes, asthma, bronchitis, emphysema and others. Bull Publishing Company, Boulder, 2006. [Google Scholar]
  • 24.National Multiple Sclerosis Society The MS Disease-Modifying Drugs General Information. 2009; http://www.nationalmssociety.org/DMD.
  • 25.Heesen C, Kasper J, Segal J. Decisional role preferences, risk knowledge and information interests in patients with multiple sclerosis. Mult Scler 2004; 10: 643–650. doi: 10.1191/1352458504ms1112oa [DOI] [PubMed] [Google Scholar]
  • 26.Ryan P, Sawin KJ. The Individual and Family Self-Management Theory: background and perspectives on context, process, and outcomes. Nurs Outlook 2009; 57: 217–225.e6. doi: 10.1016/j.outlook.2008.10.004 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Thorne SE, Harris SR, Mahoney K. The context of health care communication in chronic illness. Patient Educ Couns 2004; 54: 299–306. doi: 10.1016/j.pec.2003.11.009 [DOI] [PubMed] [Google Scholar]
  • 28.Paterson B, Thorne S, Russell C. Disease-specific influences on meaning and significance in self-care decision-making in chronic illness. Can J Nurs Res 2002; 34: 61–74. [PubMed] [Google Scholar]
  • 29.Fraser C, Polito S. A comparative study of self-efficacy in men and women with multiple sclerosis. J Neurosci Nurs 2007; 39: 102–106. doi: 10.1097/01376517-200704000-00006 [DOI] [PubMed] [Google Scholar]
  • 30.Grytten N, Måseide P. ‘When I am together with them I feel more ill.’ The stigma of multiple sclerosis experienced in social relationships. Chronic Illn 2006; 2: 195–208. [DOI] [PubMed] [Google Scholar]
  • 31.Peters TJ, Somerset M, Campbell R. Variables associated with attendance at, and the perceived helpfulness of, meetings for people with multiple sclerosis. Health Soc Care Community 2003; 11: 19–26. doi: 10.1046/j.1365-2524.2003.00404.x [DOI] [PubMed] [Google Scholar]
  • 32.Barlow J, Turner A, Edwards R. A randomised controlled trial of lay-led self-management for people with multiple sclerosis. Patient Educ Couns 2009; 77: 81–89. doi: 10.1016/j.pec.2009.02.009 [DOI] [PubMed] [Google Scholar]
  • 33.Wassem R, Dudley W. Symptom management and adjustment of patients with multiple sclerosis: a 4-year longitudinal intervention study. Clin Nurs Res 2003; 12: 102–117. doi: 10.1177/1054773803238743 [DOI] [PubMed] [Google Scholar]
  • 34.Plow MA, Mathiowetz V, Resnik L. Multiple sclerosis: impact of physical activity on psychosocial constructs. Am J Health Behav 2008; 32: 614–626. doi: 10.5993/AJHB.32.6.6 [DOI] [PubMed] [Google Scholar]
  • 35.Hartley S. Developing a self-management and exercise model for people with multiple sclerosis. Int J Ther Rehabil 2009; 16: 34–42. doi: 10.12968/ijtr.2009.16.1.37938 [DOI] [Google Scholar]
  • 36.Shevil E, Finlayson M. Process evaluation of a self-management cognitive program for persons with multiple sclerosis. Patient Educ Couns 2009; 76: 77–83. doi: 10.1016/j.pec.2008.11.007 [DOI] [PubMed] [Google Scholar]
  • 37.Bishop M, Shepard L, Stenohoff DM. Psychosocial adaptation and quality of life in multiple sclerosis: Assessment of the Disability Centrality Model. J Rehabil 2007; 73: 3–12. [Google Scholar]
  • 38.Shaw C, Logan K, Webber I. Effect of clean intermittent self-catheterization on quality of life: a qualitative study. J Adv Nurs 2008; 61: 641–650. doi: 10.1111/j.1365-2648.2007.04556.x [DOI] [PubMed] [Google Scholar]
  • 39.Simmons RD, Tribe KL, McDonald EA. Living with multiple sclerosis: longitudinal changes in employment and the importance of symptom management. J Neurol 2010; 257: 926–936. doi: 10.1007/s00415-009-5441-7 [DOI] [PubMed] [Google Scholar]

Articles from Journal of Rural Medicine : JRM are provided here courtesy of Japanese Association of Rural Medicine

RESOURCES