Search Results - "Ong'angò, Jane"

Kenya tuberculosis prevalence survey 2016: Challenges and opportunities of ending TB in Kenya by Enos, Masini, Sitienei, Joseph, Ong'ang'o, Jane, Mungai, Brenda, Kamene, Maureen, Wambugu, Jesse, Kipruto, Hillary, Manduku, Veronica, Mburu, Josephine, Nyaboke, Drusilla, Ngari, Faith, Omesa, Eunice, Omale, Newton, Mwirigi, Nkirote, Okallo, Geoffrey, Njoroge, Janice, Githiomi, Martin, Mwangi, Mike, Kirathe, Dickson, Kiplimo, Richard, Ndombi, Amos, Odeny, Lazarus, Mailu, Eunice, Kandie, Timothy, Maina, Maurice, Kasera, Kadondi, Mulama, Beatrice, Mugi, Beatrice, Weyenga, Herman

“…We aimed to determine the prevalence of pulmonary TB amongst the adult population (≥15 years) in 2016 in Kenya. A nationwide cross-sectional survey where…”
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'If not TB, what could it be?' Chest X-ray findings from the 2016 Kenya Tuberculosis Prevalence Survey by Mungai, Brenda Nyambura, Joekes, Elizabeth, Masini, Enos, Obasi, Angela, Manduku, Veronica, Mugi, Beatrice, Ong'angò, Jane, Kirathe, Dickson, Kiplimo, Richard, Sitienei, Joseph, Oronje, Rose, Morton, Ben, Squire, Stephen Bertel, MacPherson, Peter

“…The prevalence of diseases other than TB detected during chest X-ray (CXR) screening is unknown in sub-Saharan Africa. This represents a missed opportunity for…”
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Quasi-experimental evaluation of Kenya's pictorial health warnings versus Zambia's single text-only warning: findings from the International Tobacco Control (ITC) Project by Kaai, Susan Cherop, Sansone, Genevieve, Meng, Gang, Ong'ang'o, Jane Rahedi, Goma, Fastone, Ikamari, Lawrence, Quah, Anne C K, Fong, Geoffrey T

“…Population studies in mostly high-income countries have shown that pictorial health warnings (PHWs) are much more effective than text-only warnings. This is…”
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The effects on tuberculosis treatment adherence from utilising community health workers: a comparison of selected rural and urban settings in Kenya by Ong'ang'o, Jane Rahedi, Mwachari, Christina, Kipruto, Hillary, Karanja, Simon

“…Community Health Workers (CHWs) have been utilised for various primary health care activities in different settings especially in developing countries. Usually…”
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Prevalence, perceptions and factors associated with menthol cigarette smoking: findings from the ITC Kenya and Zambia Surveys by Kaai, Susan Cherop, Fong, Geoffrey T, Ong'ang'o, Jane Rahedi, Goma, Fastone, Meng, Gang, Craig, Lorraine V, Ikamari, Lawrence, Quah, Anne C K, Elton-Marshall, Tara

“…Menthol masks the harshness of cigarette smoke, promotes youth smoking and encourages health-concerned smokers who incorrectly believe that menthols are less…”
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Rethinking the syndemic of tuberculosis and dysglycaemia: a Kenyan perspective on dysglycaemia as a neglected risk factor for tuberculosis by Kerama, Cheryl, Horne, David, Ong’ang’o, Jane, Anzala, Omu

“…Background The END TB 2035 goal has a long way to go in low-income and low/middle-income countries (LICs and LMICs) from the perspective of a non-communicable…”
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Determinants of household catastrophic costs for drug sensitive tuberculosis patients in Kenya by Kirubi, Beatrice, Ong'ang'o, Jane, Nguhiu, Peter, Lönnroth, Knut, Rono, Aiban, Sidney-Annerstedt, Kristi

“…Abstract Background Despite free diagnosis and treatment for tuberculosis (TB), the costs during treatment impose a significant financial burden on patients…”
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Tobacco smoking-attributable mortality in Kenya, 2012-2021 by Odeny, Lazarus, Gathecha, Gladwell, Mwenda, Valerian, Kendagor, Anne, Cheburet, Samuel, Mugi, Beatrice, Mithi, Caroline, Jaguga, Florence, Okinda, Kennedy, Devotsu, Rachel K, Mohamed, Shukri F, Ong'ang'o, Jane Rahedi

“…Tobacco smoking poses a significant risk for various diseases, including cardiovascular diseases, chronic respiratory diseases, and cancers. In Kenya,…”
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The diagnostic accuracy of diabetes retinopathy screening by ophthalmic clinical officers, ophthalmic nurses and county ophthalmologists against a retina specialist in 2 selected county referral hospitals, Kenya by Ong'ang'o, Jane Rahedi, Mashedi, Olga, Gichangi, Micheal, Kiplimo, Richard, Nyamori, Joseph, Alwenya, Kennedy

“…Diabetes is rapidly becoming a major cause of blindness among Kenyans, with the prevalence of any form of diabetes retinopathy (DR) ranging from 36% to 41%…”
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Prevalence, patterns, and factors associated with tobacco use among patients with priority tobacco related illnesses at four Kenyan national referral hospitals, 2022 by Mwenda, Valerian, Odeny, Lazarus, Mohamed, Shukri, Gathecha, Gladwell, Kendagor, Anne, Kiptui, Dorcas, Jaguga, Florence, Mugi, Beatrice, Mithi, Caroline, Okinda, Kennedy, Mwai, Daniel, Njuguna, David, Awuor, Winnie, Kitonyo-Devotsu, Rachel, Ong’ang’o, Jane Rahedi

“…Tobacco use is a risk factor for many chronic health conditions. Quantifying burden of tobacco use among people with tobacco-related illnesses (TRI) can…”
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The Economic Costs of Tobacco Related Illnesses in Kenya by Mwai, Daniel, Gathecha, Gladwell, Njuguna, David, Ongango, Jane, Mwenda, Valerian, Kiptui, Dorcas, Kendagor, Ann, Cheburet, Samuel, Mohamed, Shukri, Jaguga, Florence, Mugi, Beatrice, Okinda, Kennedy, Odeny, Lazarus, Olwanda, Easter, Boachie, Micheal K

“…To estimate the economic costs of selected tobacco-related illnesses (TRI) in Kenya in 2022. This study was conducted in 2 phases. Phase 1, conducted between…”
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Accuracy of computer-aided chest X-ray in community-based tuberculosis screening: Lessons from the 2016 Kenya National Tuberculosis Prevalence Survey by Mungai, Brenda, Ong'angò, Jane, Ku, Chu Chang, Henrion, Marc Y R, Morton, Ben, Joekes, Elizabeth, Onyango, Elizabeth, Kiplimo, Richard, Kirathe, Dickson, Masini, Enos, Sitienei, Joseph, Manduku, Veronica, Mugi, Beatrice, Squire, Stephen Bertel, MacPherson, Peter

“…Community-based screening for tuberculosis (TB) could improve detection but is resource intensive. We set out to evaluate the accuracy of computer-aided TB…”
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Health system perspective costing of TB, HIV and dysglycaemia (prediabetes and diabetes) in Kenya and a minimum care package policy proposal: the THANDYS study by Kerama, Cheryl Zawadi, Mureithi, Marianne, Njenga, Erick, Vezi, Brian, Kamuyu, Rosemary, Kidake, Victor, Kiplimo, Ann, Mulera, Sarah, Mollen, Stella, Chiboli, Brenda, Ronoh, Aiban, Kirathe, Dickson, Kiplimo, Richard, Anzala, Omu, Ong’ang’o, Jane

“…Background Poverty is a barrier to health equity. While it is believed that tuberculosis (TB) and Human Immunodeficiency Virus (HIV) care is free in Kenya,…”
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Prevalence, perceptions and predictors of menthol cigarettes among African smokers: findings from the ITC Kenya and Zambia Surveys by Kaai, Susan C, Ong'ang'o, Jane, Craig, Lorraine, Goma, Fastone, Meng, Gang, Ikamari, Lawrence, Marshall, Tara E, Fong, Geoffrey T

“…Background: Research in high-income countries (HICs) has raised awareness of the harms of menthol cigarettes, providing the foundation for a growing movement…”
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Depression symptoms and quitting among a nationally representative sample of smokers from Africa by Goma, Fastone, Kaai, Susan C, Ong'ang'o, Jane, Ikamari, Lawrence, Meng, Gang, Quah, Anne C K, Fong, Geoffrey T

“…Background: There are mixed reports as to whether depression is associated with quitting among smokers, but almost all of these studies have been conducted in…”
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Identifying factors associated with quit intentions among smokers from two nationally representative samples in Africa: Findings from the ITC Kenya and Zambia Surveys by Kaai, Susan C, Fong, Geoffrey T, Goma, Fastone, Meng, Gang, Ikamari, Lawrence, Ong'ang'o, Jane Rahedi, Elton-Marshall, Tara

“…AbstractIt is well established that intentions to quit smoking is the strongest predictor of future quit attempts. However, most studies on quit intentions…”
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Accuracy of computer-aided chest X-ray in community-based tuberculosis screening: Lessons from the 2016 Kenya National Tuberculosis Prevalence Survey by Brenda Mungai, Jane Ong'angò, Chu Chang Ku, Marc Y R Henrion, Ben Morton, Elizabeth Joekes, Elizabeth Onyango, Richard Kiplimo, Dickson Kirathe, Enos Masini, Joseph Sitienei, Veronica Manduku, Beatrice Mugi, Stephen Bertel Squire, Peter MacPherson, IMPALA Consortium

“…Community-based screening for tuberculosis (TB) could improve detection but is resource intensive. We set out to evaluate the accuracy of computer-aided TB…”
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Prevalence of lower harm perceptions of cigarette product characteristics: findings from 10 low-middle-income countries from the ITC project by Gravely, Shannon, Meng, Gang, Xu, Steve, Kaai, Susan, Goma, Fastone, Ong'ang'o, Jane Rahedi, Burhoo, Premduth, Fong, on behalf of the ITC Project, Geoffrey T.

“…Background: A major objective of FCTC Article 9, which calls for tobacco product regulation, is to eliminate or reduce tobacco industry product design…”
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National tuberculosis prevalence surveys in Africa, 2008–2016: an overview of results and lessons learned by Law, Irwin, Floyd, Katherine, Abukaraig, Egbal Ahmed Basheir, Addo, Kennedy Kwasi, Adetifa, Ifedayo, Alebachew, Zeleke, Banda, Rhoda, Bashorun, Adedapo, Bloss, Emily, Bonsu, Frank Adae, Chanda‐Kapata, Pascalina, Demba, Edward, Elegail, Asrar M. Abdel Salam, Eltigany, Mai, Ershova, Julia, Gasana, Michel, Girma, Belaineh, Glaziou, Philippe, Kalisvaart, Nico, Hamadelneel, Hiba Kamal, Kamara, Deus, Kapata, Nathan, Kasozi, Samuel, Kebede, Amha, Kendall, Lindsay, Kipruto, Hillary, Kirenga, Bruce J., Klinkenberg, Eveline, Kobayashi, Sayori, Linda, Christopher, Masini, Enos, Matambo, Ronnie, Mfinanga, Sayoki, Migambi, Patrick, Moonan, Patrick, Mpunga, James, Mugabe, Frank, Munthali, Alister, Mutsvangwa, Junior, Nkhoma, Wilfred, Obasanya, Joshua, Omoleke, Semeeh, Onozaki, Ikushi, Patrobas, Philip, Ong'ang'o, Jane Rahedi, Rutebemberwa, Elizeus, Sandy, Charles, Senkoro, Mbazi, Sismanidis, Charalambos, Sitienei, Joseph, Tadolini, Marina, Timimi, Hazim, Tsegaye, Fasil, Uwizeye, Claude Bernard, Yamada, Norio

“…Objective and methods Worldwide, tuberculosis (TB) is the leading cause of death from a single infectious agent. In many countries, national TB prevalence…”
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