Updated in 4/3/2015 12:58:02 AM      Viewed: 242 times      (Journal Article)
Cancer nursing (2014)

Determinants of Uptake of Cervical Cancer Screening Services at a No-Cost Reproductive Health Clinic Managed by Nurse-Midwives

C. P. Osingada , G. Ninsiima , R. N. Chalo , J. K. Muliira , T. Ngabirano
ABSTRACT
BACKGROUND:: The incidence of cervical cancer (CC) has been rising in sub-Saharan Africa, and health authorities in this region have responded by increasing the availability of cheap or no-cost CC screening services (CCSS), public health education, and others. However, the efforts have not yet resulted into the expected uptake of CCSS. OBJECTIVE:: The aim of this study was to examine the determinants of uptake of CCSS at a no-cost reproductive health clinic managed by nurse-midwives. METHODS:: A descriptive design and a structured interview questionnaire were used to collect data from 236 women attending the reproductive health clinic. Logistic regression statistics were used to examine the determinants of uptake of CCSS. RESULTS:: The mean age of participants was 28.7 years, and only 29% had received CC screening. The significant determinants of uptake of CCSS were concern about the gender of the healthcare professional (HCP) (odds ratio OR], 5.03; P = .001), age older than 25 years (OR, 3.09; P = .005), contraceptive use (OR, 0.28; P = .02), encouragement by HCPs (OR, 0.16; P = .00), and perceived quality of CCSS (OR, 0.08; P = .00). CONCLUSIONS:: Gender of the HCP and encouragement or reminders by the HCP influence uptake of CCSS. Because nurse-midwives have successfully led strategies to promote other integrated reproductive health services, they can also play a key role in enhancing uptake of CCSS in resource-poor settings. IMPLICATIONS FOR PRACTICE:: Interventions to enhance service quality and deliberate policies requiring HCP to recommend encourage and remind clients may help to enhance uptake of CCSS in resource-poor settings.
ISSN: 1538-9804; 0162-220X     
Notes
ID: 22182; JID: 7805358; aheadofprint; M1: Journal Article
To be extracted by Paul Rotert