3 resultados para pre-natal care

em Bioline International


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Background: Pre-eclampsia is a hypertensive disorder specific to pregnancy responsible for significant maternal morbidity and mortality in Africa. The majority of deaths related to pre-eclampsia could be avoided with timely and effective care. “Phase one delays” arise because of lack of knowledge. Objectives: This study aimed to assess the knowledge levels of women living in Makole ward, comparing respondent subgroups with different demographic characteristics. It also aimed to compare knowledge levels in respect to six subtopics of pre-eclampsia. This was to allow for planning of appropriate activities to reduce delays in seeking health care. Methods: This study surveyed 200 adult women randomly identified in the community. They were asked 36 questions on preeclampsia requiring yes / no answers. The data was analysed quantitatively. Results: Overall knowledge levels were low with an average of 41% of correct answers. Minor differences in the knowledge levels of demographic subgroups were found. Statistically significant differences were identified between sub-topics of preeclampsia; signs and symptoms were the least well known. Conclusion: Educational systems (formal and informal) are failing to provide communities with potentially life-saving information. Health centre, community and school based education programmes are recommended.

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Objective: Little is known about the extent of mental, neurological and substance-use (MNS) disorders re-hospitalization in South Africa. We examined the extent of one-year MNS re-hospitalization (MNS-R) in a rural South African primary health care facility (PHCF). Methods: We conducted a retrospective analysis of hospital administrative data from 10,525 adults discharged from a rural PHCF in KwaZulu-Natal Province, South Africa. Chi-squared tests were utilized to describe MNS-R within one year of an index hospital admission in individuals with MNS, with a sub-analysis also being conducted to describe schizophrenia re-hospitalization (S-R). Results: The prevalence of MNS and schizophrenia recorded at an index hospitalization was 5% and 1%, respectively. A total of 44/67 (66%) individuals with a diagnosis of MNS at the index hospitalization were classified as having MNS-R during oneyear follow-up period. Half of those diagnosed with schizophrenia at the index hospitalization (6/12 patients) were classified as having S-R during one-year follow-up period. There was a significant association between re-hospitalization outcomes (MNS-R and S-R) and MNS (p<0.01) or schizophrenia diagnosis (p<0.01) at index baseline hospitalization. Conclusion: The extent of MNS-R and S-R remains relatively high in rural South Africa, and needs further health systems strengthening to prevent revolving door occurrences.

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Background The 2011 Malawi HIV guidelines promote CD4 monitoring for pre-ART assessment and considering HIVRNA monitoring for ART response assessment, while some clinics used CD4 for both. We assessed clinical ordering practices as compared to guidelines, and determined whether the samples were successfully and promptly processed. Methods We conducted a retrospective review of all patients seen in from August 2010 through July 2011,, in two urban HIV-care clinics that utilized 6-monthly CD4 monitoring regardless of ART status. We calculated the percentage of patients on whom clinicians ordered CD4 or HIVRNA analysis. For all samples sent, we determined rates of successful labprocessing, and mean time to returned results. Results Of 20581 patients seen, 8029 (39%) had at least one blood draw for CD4 count. Among pre-ART patients, 2668/2844 (93.8%) had CD4 counts performed for eligibility. Of all CD4 samples sent, 8082/9207 (89%) samples were successfully processed. Of those, mean time to processing was 1.6 days (s.d 1.5) but mean time to results being available to clinician was 9.3 days (s.d. 3.7). Regarding HIVRNA, 172 patients of 17737 on ART had a blood draw and only 118/213 (55%) samples were successfully processed. Mean processing time was 39.5 days (s.d. 21.7); mean time to results being available to clinician was 43.1 days (s.d. 25.1). During the one-year evaluated, there were multiple lapses in processing HIVRNA samples for up to 2 months. Conclusions Clinicians underutilize CD4 and HIVRNA as monitoring tools in HIV care. Laboratory processing failures and turnaround times are unacceptably high for viral load analysis. Alternative strategies need to be considered in order to meet laboratory monitoring needs.