Browsing by Author "De Silva, Mary"

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    Open Access
    Correction to: Impact of district mental health care plans on symptom severity and functioning of patients with priority mental health conditions: the Programme for Improving Mental Health Care (PRIME) cohort protocol
    (2020-09-29) Baron, Emily C; Rathod, Sujit D; Hanlon, Charlotte; Prince, Martin; Fedaku, Abebaw; Kigozi, Fred; Jordans, Mark; Luitel, Nagendra P; Medhin, Girmay; Murhar, Vaibhav; Nakku, Juliet; Patel, Vikram; Petersen, Inge; Selohilwe, One; Shidhaye, Rahul; Ssebunnya, Joshua; Tomlinson, Mark; Lund, Crick; De Silva, Mary
    An amendment to this paper has been published and can be accessed via the original article.
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    Impact of district mental health care plans on symptom severity and functioning of patients with priority mental health conditions: the Programme for Improving Mental Health Care (PRIME) cohort protocol
    (BioMed Central, 2018-03-06) Baron, Emily C; Rathod, Sujit D; Hanlon, Charlotte; Prince, Martin; Fedaku, Abebaw; Kigozi, Fred; Jordans, Mark; Luitel, Nagendra P; Medhin, Girmay; Murhar, Vaibhav; Nakku, Juliet; Patel, Vikram; Petersen, Inge; Selohilwe, One; Shidhaye, Rahul; Ssebunnya, Joshua; Tomlinson, Mark; Lund, Crick; De Silva, Mary
    Background The Programme for Improving Mental Health Care (PRIME) sought to implement mental health care plans (MHCP) for four priority mental disorders (depression, alcohol use disorder, psychosis and epilepsy) into routine primary care in five low- and middle-income country districts. The impact of the MHCPs on disability was evaluated through establishment of priority disorder treatment cohorts. This paper describes the methodology of these PRIME cohorts. Methods One cohort for each disorder was recruited across some or all five districts: Sodo (Ethiopia), Sehore (India), Chitwan (Nepal), Dr. Kenneth Kaunda (South Africa) and Kamuli (Uganda), comprising 17 treatment cohorts in total (N = 2182). Participants were adults residing in the districts who were eligible to receive mental health treatment according to primary health care staff, trained by PRIME facilitators as per the district MHCP. Patients who screened positive for depression or AUD and who were not given a diagnosis by their clinicians (N = 709) were also recruited into comparison cohorts in Ethiopia, India, Nepal and South Africa. Caregivers of patients with epilepsy or psychosis were also recruited (N = 953), together with or on behalf of the person with a mental disorder, depending on the district. The target sample size was 200 (depression and AUD), or 150 (psychosis and epilepsy) patients initiating treatment in each recruiting district. Data collection activities were conducted by PRIME research teams. Participants completed follow-up assessments after 3 months (AUD and depression) or 6 months (psychosis and epilepsy), and after 12 months. Primary outcomes were impaired functioning, using the 12-item World Health Organization Disability Assessment Schedule 2.0 (WHODAS), and symptom severity, assessed using the Patient Health Questionnaire (depression), the Alcohol Use Disorder Identification Test (AUD), and number of seizures (epilepsy). Discussion Cohort recruitment was a function of the clinical detection rate by primary health care staff, and did not meet all planned targets. The cross-country methodology reflected the pragmatic nature of the PRIME cohorts: while the heterogeneity in methods of recruitment was a consequence of differences in health systems and MHCPs, the use of the WHODAS as primary outcome measure will allow for comparison of functioning recovery across sites and disorders.
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    PRIME: a programme to reduce the treatment gap for mental disorders in five low-and middle-income countries
    (Public Library of Science, 2012) Lund, Crick; Tomlinson, Mark; De Silva, Mary; Fekadu, Abebaw; Shidhaye, Rahul; Jordans, Mark; Petersen, Inge; Bhana, Arvin; Kigozi, Fred; Prince, Martin
    Crick Lund and colleagues describe their plans for the PRogramme for Improving Mental health carE (PRIME), which aims to generate evidence on implementing and scaling up integrated packages of care for priority mental disorders in primary and maternal health care contexts in Ethiopia, India, Nepal, South Africa, and Uganda.
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    Using theory of change to design and evaluate public health interventions: a systematic review
    (BioMed Central, 2016-05-06) Breuer, Erica; Lee, Lucy; De Silva, Mary; Lund, Crick
    Background: Despite the increasing popularity of the theory of change (ToC) approach, little is known about the extent to which ToC has been used in the design and evaluation of public health interventions. This review aims to determine how ToCs have been developed and used in the development and evaluation of public health interventions globally. Methods: We searched for papers reporting the use of “theory of change” in the development or evaluation of public health interventions in databases of peer-reviewed journal articles such as Scopus, Pubmed, PsychInfo, grey literature databases, Google and websites of development funders. We included papers of any date, language or study design. Both abstracts and full text papers were double screened. Data were extracted and narratively and quantitatively summarised. Results: A total of 62 papers were included in the review. Forty-nine (79 %) described the development of ToC, 18 (29 %) described the use of ToC in the development of the intervention and 49 (79 %) described the use of ToC in the evaluation of the intervention. Although a large number of papers were included in the review, their descriptions of the ToC development and use in intervention design and evaluation lacked detail. Conclusions: The use of the ToC approach is widespread in the public health literature. Clear reporting of the ToC process and outputs is important to strengthen the body of literature on practical application of ToC in order to develop our understanding of the benefits and advantages of using ToC. We also propose a checklist for reporting on the use of ToC to ensure transparent reporting and recommend that our checklist is used and refined by authors reporting the ToC approach.