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1.
Cancer Med ; 11(8): 1891-1901, 2022 04.
Article in English | MEDLINE | ID: mdl-35128837

ABSTRACT

OBJECTIVE: Breast cancer survivors (BCS) are twice as likely to report symptoms of poor sleep as those without cancer. However, sleep disorders are under-assessed and under-treated among BCS. The purpose of this study was to determine the portion of BCS who completed referral visits to a sleep specialist and identify the acceptability, facilitators, and barriers to the screening and referral process. METHODS: BCS, who reported having sleep problems, completed questionnaires to screen for symptoms suggestive of sleep disorders. Those with symptoms suggestive of sleep apnea, movement disorders, narcolepsy, insomnia syndrome, or circadian disorders, they were referred to a sleep medicine physician or behavioral sleep medicine psychologist. Two months after the referral, participants were interviewed about their perceptions of the acceptability, barriers, and facilitators to sleep screenings and referrals. RESULTS: Of 34 BCS assessed for eligibility, 29 were eligible and had sleep problems. Only eight of 29 participants (27.6%) completed the sleep referral process. Most thought the screening and referral process was acceptable. However, BCS identified barriers to completing the referral visit, including time, not seeing the need for treatment, insurance/sick leave concerns, and distance/transportation. CONCLUSION: Adequate evaluation and treatment of sleep disorders in BCS are rare. Creative solutions to address barriers to timely sleep referrals are needed to reduce long-term negative consequences of inadequate sleep.


Subject(s)
Breast Neoplasms , Cancer Survivors , Sleep Initiation and Maintenance Disorders , Sleep Wake Disorders , Breast Neoplasms/complications , Breast Neoplasms/therapy , Female , Humans , Referral and Consultation , Sleep , Sleep Initiation and Maintenance Disorders/diagnosis , Sleep Initiation and Maintenance Disorders/etiology , Sleep Initiation and Maintenance Disorders/therapy , Sleep Wake Disorders/diagnosis , Sleep Wake Disorders/epidemiology , Sleep Wake Disorders/etiology
2.
Cancer Nurs ; 40(6): 464-470, 2017.
Article in English | MEDLINE | ID: mdl-27782905

ABSTRACT

BACKGROUND: Breast cancer survivors (BCSs) have identified attentional fatigue, a decrease in the ability to focus, as a persistent daily challenge; however, little is known regarding its impact on work ability. OBJECTIVE: The purpose of this study was to examine the relationship between attentional fatigue and perceived work ability in BCSs controlling for the known covariates of age, education, household income, and time posttreatment. METHODS: A cross-sectional, descriptive design was used. Breast cancer survivors who were currently employed and at least 1 year post-adjuvant treatment participated. Breast cancer survivors completed the Attentional Function Index and Work Ability Index questionnaires. Descriptive statistics, linear regression, and Fisher exact test were used for analysis. RESULTS: Sixty-eight female BCSs, ranging from 29 to 68 years of age (mean, 52.1 [SD, 8.6]) and on average 4.97 (SD, 3.36) years posttreatment, participated. More than one-fourth of BCSs (26.5%) reported poor to moderate perceived work ability, indicating substantial concerns regarding work performance. Attentional fatigue was found to significantly predict perceived work ability (P < .001), explaining 40% of the variance of perceived work ability. CONCLUSIONS: Attentional fatigue is a prevalent symptom posttreatment that is negatively related to perceived work ability in BCSs. IMPLICATIONS FOR PRACTICE: Nurses are in a prime position to assess and intervene to alleviate attentional fatigue to improve work ability. Findings suggest a need for individual, comprehensive survivorship care plans to effectively address symptoms that impact work ability and, ultimately, the quality of life of cancer survivors.


Subject(s)
Attention , Breast Neoplasms/psychology , Fatigue/etiology , Perception , Survivors/psychology , Work/psychology , Adult , Aged , Cross-Sectional Studies , Fatigue/psychology , Female , Humans , Linear Models , Middle Aged , Midwestern United States , Prevalence , Psychometrics/instrumentation , Psychometrics/methods , Self Report , Surveys and Questionnaires
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