A community-based long-term follow up of women undergoing obstetric fistula repair in rural Ethiopia

2009 ◽  
Vol 116 (9) ◽  
pp. 1258-1264 ◽  
Author(s):  
HS Nielsen ◽  
L Lindberg ◽  
U Nygaard ◽  
H Aytenfisu ◽  
OL Johnston ◽  
...  
2019 ◽  
Vol 47 (5) ◽  
pp. 548-558 ◽  
Author(s):  
Anthonie Janse ◽  
Arno van Dam ◽  
Coby Pijpers ◽  
Jan F. Wiborg ◽  
Gijs Bleijenberg ◽  
...  

AbstractBackground:Cognitive behavioural therapy (CBT) is an evidence-based treatment for chronic fatigue syndrome (CFS). Stepped care for CFS, consisting of a minimal intervention followed by face-to-face CBT, was found efficacious when tested in a CFS specialist centre. Stepped care implemented in a community-based mental health centre (MHC) has not yet been evaluated.Aims:(1) To test the effectiveness of stepped care for CFS implemented in a MHC at post-treatment and at long-term follow-up; and (2) compare post-treatment outcomes of implemented stepped care with treatment outcomes of a CFS specialist centre.Method:An uncontrolled study was used to test effectiveness of stepped care implemented in a MHC (n = 123). The outcomes of implemented care were compared with the outcomes of specialist care reported in previous studies (n = 583). Data on outcomes from implemented stepped care were gathered at post-treatment and at long-term follow-up. Mixed models were used as method of analysis.Results:Fatigue decreased and physical functioning increased significantly following implemented stepped care (both p < .001). The follow-up was completed by 94 patients (78%) within 1–6 years after treatment. Treatment effects were sustained to follow-up. Patients in the MHC showed less improvement directly following stepped care compared with patients in a CFS specialist centre (p < .01).Conclusion:Implemented stepped care for CFS is effective with sustained treatment gains at long-term follow-up. There is room for improvement when compared with outcomes of a CFS specialist centre. Some suggestions are made on how to improve stepped care.


The Lancet ◽  
2019 ◽  
Vol 394 ◽  
pp. S96
Author(s):  
Charlotte Wahlich ◽  
Umar A R Chaudhry ◽  
Rebecca Fortescue ◽  
Derek G Cook ◽  
Shashi Hirani ◽  
...  

2017 ◽  
Vol 23 (4) ◽  
pp. 287-288
Author(s):  
Mary A McCoy ◽  
Shelli Stephens-Stidham ◽  
Emily Caton ◽  
Ted O Padgett ◽  
Jeffrey J Barnard ◽  
...  

2015 ◽  
Vol 86 (11) ◽  
pp. e4.89-e4
Author(s):  
Angus Macleod ◽  
Carl Counsell

BackgroundOther than tremor dominance (TD) or the postural instability-gait disorder phenotype (PIGD), little is known about what baseline motor characteristics influence prognosis in Parkinson's disease (PD).MethodsWe analysed data from the PINE study, a prospective, community-based incident cohort of PD in Aberdeen, Scotland, recruited between 2002–09, with long term follow-up. Baseline motor features derived from the UPDRS part 3 scale were assessed as independent predictors of four outcomes: death, dependence (Schwab & England <80), “death or dependence”, and progression to Hoehn & Yahr stage 3 (H&Y3) using Cox regression adjusting for age.Results198 patients were analysed (median 6.1 years follow-up). In univariable analyses, bradykinesia score, axial score, limb score, axial/limb ratio, dopa-responsive signs, and dopa-non-reponsive signs were significant predictors of all outcomes. In univariable analyses, asymmetry predicted dependency and death or dependency and TD/PIGD only predicted H&Y3. In multivariable analyses bradykinesia and axial/limb ratio were independent predictors of death and death or dependency and axial score and dopa non-responsive symptoms were predictors for dependency and H&Y3.DiscussionDifferent motor characteristics were independent predictors of different outcomes. However, a variable relating to severity of axial signs was a common theme across three of these outcomes. Thus, at diagnosis, axial motor features appear to be important predictors of prognosis, perhaps stronger than the TD/PIGD classification and deserve further study.


2017 ◽  
Vol 26 (4) ◽  
pp. 319-325 ◽  
Author(s):  
Arthur Robin Williams ◽  
Vincent Barbieri ◽  
Kaitlyn Mishlen ◽  
Frances R. Levin ◽  
Edward V. Nunes ◽  
...  

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