| Literature DB >> 28217724 |
Rhoda Suubi Muliira1, Anna Santos Salas1, Beverley O'Brien1.
Abstract
Quality of life (QOL) has been studied extensively among cancer populations in high income countries where cancer care resources are available to many. Little is known concerning the QOL of cancer groups residing in Africa where resources can be scarce. The integrative review of the literature explored and critically examined studies that had addressed QOL in female cancer survivors in Africa. The extent to which QOL studies incorporated a cultural perspective was also examined. Research studies published between 2005 and 2015 were retrieved from five databases: CINAHL, MEDLINE, SCOPUS, ProQuest dissertations and Theses full text, and GlobalHealth. Primary qualitative or quantitative studies regardless of sample size or setting were included. A total of 300 studies were identified and 28 full text studies were retrieved and assessed for eligibility. Eight studies met inclusion criteria. Factors that affected the QOL were socio-demographic especially age, education, employment, income and residence; illness-related factors such as having advanced cancer and multiple symptoms; treatment-related factors associated with surgery and radiotherapy; psychosocial factors such as support and anxiety; and cultural factors including fatalism and bewitching. Practice implications entail increasing awareness among nurses and allied healthcare providers of the potential effects on QOL of a cancer diagnosis and treatment of female cancers such as pain, fatigue, sexual dysfunction, hormonal and body image changes, anxiety, depression and cultural practices. Failure to identify and deal with these may result in poor treatment adherence, low self-esteem, and ultimately poor QOL.Entities:
Keywords: Africa; breast neoplasm; endometrial neoplasm; ovarian neoplasm; quality of life; uterine cervical neoplasm; vaginal neoplasm; vulva neoplasm
Year: 2017 PMID: 28217724 PMCID: PMC5297234 DOI: 10.4103/2347-5625.199078
Source DB: PubMed Journal: Asia Pac J Oncol Nurs ISSN: 2347-5625
Quality of life among female cancer survivors in Africa
| Authors | Setting | Research purpose | Sample demographics | Methods, design and data collection instrument | Findings |
|---|---|---|---|---|---|
| Katumba, Obore, and Kaye,(2013)[ | Urban, Kampala, Uganda | To describe the health related quality of life among women with ovarian cancer at Mulago Hospital | 36 women with confirmed ovarian cancer Mean age 50.7±16.7 years, 58.4% married, 47.3% grand multiparas (having more than 5 children) | Quantitative | The majority (88.9%) had advanced disease 47.2% presented with multiple symptoms abdominal, urinary and constitutional |
| Cooper and Mullin, (2008)[ | Rural, South Africa | The need to identify how cultural factors affect the specific beliefs, attitudes and health related behaviors among cancer patients in underserved populations in South Africa | 167 patients with breast cancer and ovarian cancer Mean age 47.3±14.5 years, 41% married, only 28.4% employed, 80% low education and 60% lived with other adults and children | Quantitative | Patient's quality of life was improved if they were employed, had a physical property such as cows, having a good relationship with children and extended family |
| Jalyesimi, Sofelo, and Rufai, (2007)[ | Urban, Ibadan, Nigeria | To assess the quality of life of Nigerian breast cancer patients and to investigate factors that influence/determine their quality of life | 35 post-surgical breast cancer patients with a mean age of 44.3±11.9 years | Quantitative | Overall quality of life was significantly related to physical, cognitive and social functioning On symptom scale, financial difficulty was the greatest concern 71.4% while pain 59.1% and fatigue 52.7% were the most troublesome symptoms |
| Awadalla, Ohaeri, Khalid, Hamad, and Jacob, (2007)[ | Urban, Khartoum, Sudan | To assess the subjective quality of life of stable Sudanese women cancer outpatients and their family caregivers | 181 women with breast, cervical cancer, and ovarian cancer Mean age 44.6±11.2 years, 62.4% married, 82.9% not employed and only 31.5% had up to high school education and duration of illness on average was 3.2 years | Quantitative | Patients who were married, with higher education, better employment, had a higher quality of life |
| Ogoncho, Omuga, Wakasiaka, and Muiva, (2015)[ | Urban, Kisii, Kenya | To determine the predictors and factors associated with quality of life among gynaecological cancer patients on follow up at Kenyatta National Hospital, Kenya | 108 women with ovarian, cervical, endometrial and vulva cancers Mean age 48±1.28 years | Quantitative | Age, the level of education, marital status, occupation and monthly income were the socio-demographic factors significantly associated with quality of life scores, ( |
| du Toit, and Kidd, (2015)[ | Urban, Stellenbosch, South Africa | To compare the quality of life for women with cervical cancer and treated with radiation or chemo radiation therapy at Tygerberg Hospital, South Africa | 219 women with advanced cervical cancer | Quantitative | Chemo radiation therapy resulted in statistically more improvement in the pain ( |
| Khalil et al, (2015)[ | Urban, Morocco | The aim of this study was to evaluate quality of life in cervical cancer survivors up to 10 years after the diagnosis | 110 cervical cancer survivors and 80 healthy controls Mean age 34±17 years, 91% married, 56% not educated, and 72% unemployed | Quantitative | The most reported symptom was pain; financial fatigue problems were also highly reported |
| Chitashi, (2012)[ | Urban, Zambia | To evaluate the impact of chemo-radiation treatment on quality of life and to determine what socioeconomic and demographic factors are closely related with quality of life decrements in Zambian women treated for cervical cancer | Mean age was 41 years, 52% married, 96% below college education and 86.4% were unemployed 45 women treated for cervical cancer with radiotherapy | Quantitative | 4.4% presented at stage I, 53.3% at stage II and 42.2% at stage III |
Figure 1Flow diagram