Domain Subtypes 1
Child Resilience
Name of the measure; source citation
CYRM
Link to measure
https://crh.macmillan.yale.edu/sites/default/files/files/Child%20and%20Youth%20Resilience%20Measure%20(CYRM-28).pdf
Purpose of the measure/target population (from source citation)
survey instrument that was purposefully designed to measure children’s perceptions of the protective resources available to them at the level of individual,3 relational, and contextual systems
Description of the measure: number of items etc (is it a screening tool, self administered/parent child tool (face to face, observation), Administration, self report/child or adult, type of tool (screening/diagnostic)
Self administered questionnaire with 28 items
Psychometric information - validity and reliability (Provide Links to original source)
https://cyrm.resilienceresearch.org/files/CYRM_&_ARM-User_Manual.pdf
Studies that have used the measure (citation, publications) Key papers specific to SA
Gatt, J. M., Alexander, R., Emond, A., Foster, K., Hadfield, K., Mason-Jones, A., Reid, S., Theron, L., Ungar, M., Wouldes, T. A., & Wu, Q. (2019). Trauma, Resilience, and Mental Health in Migrant and Non-Migrant Youth: An International Cross-Sectional Study Across Six Countries. Front Psychiatry, 10, 997. https://doi.org/10.3389/fpsyt.2019.00997
Govender, K., Cowden, R. G., Oppong Asante, K., George, G., & Reardon, C. (2017). Validation of the child and youth resilience measure among South African adolescents. PLoS One, 12(10), e0185815. https://doi.org/10.1371/journal.pone.0185815
Mawila, D. (2022). The resilience of learners with specific learning disability in unequally resourced learners with special education needs schools in diverse contexts. Afr J Disabil, 11, 1044. https://doi.org/10.4102/ajod.v11i0.1044
Mawila, D. (2023). Growing resilience capacity for learners presenting with specific learning disability in learners with special education needs schools. Afr J Disabil, 12, 1045. https://doi.org/10.4102/ajod.v12i0.1045
Pillay, J. (2023). Resilience to COVID-19 challenges: Lessons for school psychologists serving school-attending black South African youth aged 10 to 19 years old. Sch Psychol Int, 44(2), 172-189. https://doi.org/10.1177/01430343221135872
Crowley, T., van der Merwe, A. S., Esterhuizen, T., & Skinner, D. (2022). Resilience of adolescents living with HIV in the Cape Metropole of the Western Cape. AIDS Care, 34(9), 1103-1110. https://doi.org/10.1080/09540121.2021.1961115
Wu, Q., Ge, T., Emond, A., Foster, K., Gatt, J. M., Hadfield, K., Mason-Jones, A. J., Reid, S., Theron, L., Ungar, M., & Wouldes, T. A. (2018). Acculturation, resilience, and the mental health of migrant youth: a cross-country comparative study. Public Health, 162, 63-70. https://doi.org/10.1016/j.puhe.2018.05.006
Context (Country) - setting (national/regional, local, urban/rural ethnicity)
SA adolescents and youth,
Adapted, including validation studies in South Africa, including translation
Validated among SA adolescents
General Comments
More comments
Notes
Domain Subtype 2
Disability
Name of the measure; source citation
WHODAS
Link to measure
https://www.psychiatry.org/File%20Library/Psychiatrists/Practice/DSM/APA_DSM5_WHODAS-2-Self-Administered.pdf
Purpose of the measure/target population (from source citation)
World Health Organization
Disability Assessment Schedule (WHODAS) 2.0, is a generic
instrument based on the WHO International Classification of Functioning which measures overall disability. The WHODAS 2.0 is suitable for assessing disability in a variety of settings and populations, including psychiatric populations.
Description of the measure: number of items etc (is it a screening tool, self administered/parent child tool (face to face, observation), Administration, self report/child or adult, type of tool (screening/diagnostic)
The WHODAS 2.0 is available in 12-, 12 þ 24-, and 36-item versions, and can be administered by an interviewer, by a proxy, or be self-rated.
Psychometric information - validity and reliability (Provide Links to original source)
https://www.diva-portal.org/smash/get/diva2:1758177/FULLTEXT01.pdf
Studies that have used the measure (citation, publications) Key papers specific to SA
Arowoiya, A. I., Elloker, T., Karachi, F., Mlenzana, N., Khuabi, L. J., & Rhoda, A. (2017). Using the World Health Organization´s Disability Assessment Schedule (2) to assess disability in community-dwelling stroke patients. S Afr J Physiother, 73(1), 343. https://doi.org/10.4102/sajp.v73i1.343
Baron, E. C., Davies, T., & Lund, C. (2017). Validation of the 10-item Centre for Epidemiological Studies Depression Scale (CES-D-10) in Zulu, Xhosa and Afrikaans populations in South Africa. BMC Psychiatry, 17(1), 6. https://doi.org/10.1186/s12888-016-1178-x
Baron, E. C., Rathod, S. D., Hanlon, C., Prince, M., Fedaku, A., Kigozi, F., Jordans, M., Luitel, N. P., Medhin, G., Murhar, V., Nakku, J., Patel, V., Petersen, I., Selohilwe, O., Shidhaye, R., Ssebunnya, J., Tomlinson, M., Lund, C., & De Silva, M. (2018). 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. BMC Psychiatry, 18(1), 61. https://doi.org/10.1186/s12888-018-1642-x
Gomez-Olive, F. X., Schröders, J., Aboderin, I., Byass, P., Chatterji, S., Davies, J. I., Debpuur, C., Hirve, S., Hodgson, A., Juvekar, S., Kahn, K., Kowal, P., Nathan, R., Ng, N., Razzaque, A., Sankoh, O., Streatfield, P. K., Tollman, S. M., Wilopo, S. A., & Witham, M. D. (2017). Variations in disability and quality of life with age and sex between eight lower income and middle-income countries: data from the INDEPTH WHO-SAGE collaboration. BMJ Glob Health, 2(4), e000508. https://doi.org/10.1136/bmjgh-2017-000508
Gómez-Olivé, F. X., Thorogood, M., Clark, B., Kahn, K., & Tollman, S. (2013). Self-reported health and health care use in an ageing population in the Agincourt sub-district of rural South Africa. Glob Health Action, 6, 19305. https://doi.org/10.3402/gha.v6i0.19305
Hailemichael, Y., Hanlon, C., Tirfessa, K., Docrat, S., Alem, A., Medhin, G., Lund, C., Chisholm, D., Fekadu, A., & Hailemariam, D. (2019). Catastrophic health expenditure and impoverishment in households of persons with depression: a cross-sectional, comparative study in rural Ethiopia. BMC Public Health, 19(1), 930. https://doi.org/10.1186/s12889-019-7239-6
Hanass-Hancock, J., Myezwa, H., & Carpenter, B. (2015). Disability and Living with HIV: Baseline from a Cohort of People on Long Term ART in South Africa. PLoS One, 10(12), e0143936. https://doi.org/10.1371/journal.pone.0143936
Kietrys, D., Myezwa, H., Galantino, M. L., Parrott, J. S., Davis, T., Levin, T., O´Brien, K., & Hanass-Hancock, J. (2019). Functional Limitations and Disability in Persons Living with HIV in South Africa and United States: Similarities and Differences. J Int Assoc Provid AIDS Care, 18, 2325958219850558. https://doi.org/10.1177/2325958219850558
Myezwa, H., Hanass-Hancock, J., Ajidahun, A. T., & Carpenter, B. (2018). Disability and health outcomes - from a cohort of people on long-term anti-retroviral therapy. Sahara j, 15(1), 50-59. https://doi.org/10.1080/17290376.2018.1459813
Phaswana-Mafuya, N., Peltzer, K., Chirinda, W., Kose, Z., Hoosain, E., Ramlagan, S., Tabane, C., & Davids, A. (2013). Self-rated health and associated factors among older South Africans: evidence from the study on global ageing and adult health. Glob Health Action, 6(1), 19880. https://doi.org/10.3402/gha.v6i0.19880
Salinas-Rodríguez, A., Rivera-Almaraz, A., Scott, A., & Manrique-Espinoza, B. (2020). Severity Levels of Disability Among Older Adults in Low- and Middle-Income Countries: Results From the Study on Global Ageing and Adult Health (SAGE). Front Med (Lausanne), 7, 562963. https://doi.org/10.3389/fmed.2020.562963
Schneider, M., Baron, E., Davies, T., Bass, J., & Lund, C. (2015). Making assessment locally relevant: measuring functioning for maternal depression in Khayelitsha, Cape Town. Soc Psychiatry Psychiatr Epidemiol, 50(5), 797-806. https://doi.org/10.1007/s00127-014-1003-0
Selohilwe, O., Bhana, A., Garman, E. C., & Petersen, I. (2019). Evaluating the role of levels of exposure to a task shared depression counselling intervention led by behavioural health counsellors: outcome and process evaluation. Int J Ment Health Syst, 13, 42. https://doi.org/10.1186/s13033-019-0299-2
Tawiah, P., Mensah, P. B., Gyabaah, S., Adebanji, A. O., Konadu, E., & Amoah, I. (2024). Gait speed and its associated factors among older black adults in Sub-Saharan Africa: Evidence from the WHO study on Global AGEing in older adults (SAGE). PLoS One, 19(4), e0295520. https://doi.org/10.1371/journal.pone.0295520
van der Zeijst, M. C. E., Veling, W., Makhathini, E. M., Mbatha, N. D., Shabalala, S. S., van Hoeken, D., Susser, E., Burns, J. K., & Hoek, H. W. (2022). Course of psychotic experiences and disorders among apprentice traditional health practitioners in rural South Africa: 3-year follow-up study. Front Psychiatry, 13, 956003. https://doi.org/10.3389/fpsyt.2022.956003
Waterhouse, P., van der Wielen, N., Banda, P. C., & Channon, A. A. (2017). The impact of multi-morbidity on disability among older adults in South Africa: do hypertension and socio-demographic characteristics matter? Int J Equity Health, 16(1), 62. https://doi.org/10.1186/s12939-017-0537-7
Werfalli, M., Kassanjee, R., Kalula, S., Kowal, P., Phaswana-Mafuya, N., & Levitt, N. S. (2018). Diabetes in South African older adults: prevalence and impact on quality of life and functional disability - as assessed using SAGE Wave 1 data. Glob Health Action, 11(1), 1449924. https://doi.org/10.1080/16549716.2018.1449924
Wing Yu, T., & Ennion, L. (2019). Participation restrictions and vocational rehabilitation needs experienced by persons with a unilateral lower limb amputation in the Western Cape, South Africa. Afr J Disabil, 8, 456. https://doi.org/10.4102/ajod.v8i0.456
Adeleke, A., Franzsen, D., de Witt, P., & Smith, R. (2022). Validity and reliability of the HIV Disability Questionnaire for people living with HIV in South Africa. Afr J AIDS Res, 21(4), 364-372. https://doi.org/10.2989/16085906.2022.2142141
Biritwum, R. B., Minicuci, N., Yawson, A. E., Theou, O., Mensah, G. P., Naidoo, N., Wu, F., Guo, Y., Zheng, Y., Jiang, Y., Maximova, T., Kalula, S., Arokiasamy, P., Salinas-Rodríguez, A., Manrique-Espinoza, B., Snodgrass, J. J., Sterner, K. N., Eick, G., Liebert, M. A., . . . Kowal, P. (2016). Prevalence of and factors associated with frailty and disability in older adults from China, Ghana, India, Mexico, Russia and South Africa. Maturitas, 91, 8-18. https://doi.org/10.1016/j.maturitas.2016.05.012
Brooke-Sumner, C., Selohilwe, O., Mazibuko, M. S., & Petersen, I. (2018). Process Evaluation of a Pilot Intervention for Psychosocial Rehabilitation for Service Users with Schizophrenia in North West Province, South Africa. Community Ment Health J, 54(7), 1089-1096. https://doi.org/10.1007/s10597-018-0318-9
Comley-White, N., Mudzi, W., & Gouws, H. (2022). Community reintegration of people with traumatic brain injury in South Africa. Brain Inj, 36(9), 1187-1195. https://doi.org/10.1080/02699052.2022.2111027
Elloker, T., Rhoda, A., Arowoiya, A., & Lawal, I. U. (2019). Factors predicting community participation in patients living with stroke, in the Western Cape, South Africa. Disabil Rehabil, 41(22), 2640-2647. https://doi.org/10.1080/09638288.2018.1473509
Gabriels, C. M., Macharia, M., & Weich, L. (2018). Psychiatric comorbidity and quality of life in South African alcohol use disorder patients. Qual Life Res, 27(11), 2975-2981. https://doi.org/10.1007/s11136-018-1951-z
Kowal, P., Kahn, K., Ng, N., Naidoo, N., Abdullah, S., Bawah, A., Binka, F., Chuc, N. T., Debpuur, C., Ezeh, A., Xavier Gómez-Olivé, F., Hakimi, M., Hirve, S., Hodgson, A., Juvekar, S., Kyobutungi, C., Menken, J., Van Minh, H., Mwanyangala, M. A., . . . Tollman, S. M. (2010). Ageing and adult health status in eight lower-income countries: the INDEPTH WHO-SAGE collaboration. Glob Health Action, 3. https://doi.org/10.3402/gha.v3i0.5302
Naidoo, P., Sewpaul, R., Nyembezi, A., Reddy, P., Louw, K., Desai, R., & Stein, D. J. (2018). The association between biopsychosocial factors and disability in a national health survey in South Africa. Psychol Health Med, 23(6), 653-660. https://doi.org/10.1080/13548506.2017.1417606
Context (Country) - setting (national/regional, local, urban/rural ethnicity)
North West, Western cape, South Africa
Adapted, including validation studies in South Africa, including translation
Not adapted
General Comments
The WHODAS has different versions and the recent one (explained here) is the WHODAS 2.0