A cost analysis of implementing mobile health facilitated tuberculosis contact investigation in a low-income setting

被引:7
|
作者
Turimumahoro, Patricia [1 ]
Tucker, Austin [2 ]
Gupta, Amanda J. [1 ,3 ,4 ]
Tampi, Radhika P. [2 ]
Babirye, Diana [1 ]
Ochom, Emmanuel [1 ]
Ggita, Joseph M. [1 ]
Ayakaka, Irene [1 ]
Sohn, Hojoon [5 ]
Katamba, Achilles [1 ,6 ]
Dowdy, David [1 ,2 ]
Davis, J. Lucian [1 ,2 ,7 ]
机构
[1] Uganda TB Implementat Res Consortium, Kampala, Uganda
[2] Johns Hopkins Bloomberg Sch Publ Hlth, Dept Epidemiol, Baltimore, MD 21205 USA
[3] Yale Sch Publ Hlth, Dept Epidemiol Microbial Dis, New Haven, CT USA
[4] Johns Hopkins Bloomberg Sch Publ Hlth, Baltimore, MD USA
[5] Seoul Natl Univ, Dept Preventat Med, Coll Med, Seoul, South Korea
[6] Makerere Univ, Coll Hlth Sci Kampala, Clin Epidemiol Unit, Kampala, Uganda
[7] Yale Sch Med, Pulm Crit Care & Sleep Med Sect, New Haven, CT 06510 USA
来源
PLOS ONE | 2022年 / 17卷 / 04期
基金
美国国家卫生研究院;
关键词
CARE;
D O I
10.1371/journal.pone.0265033
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
IntroductionMobile health (mHealth) applications may improve timely access to health services and improve patient-provider communication, but the upfront costs of implementation may be prohibitive, especially in resource-limited settings. MethodsWe measured the costs of developing and implementing an mHealth-facilitated, home-based strategy for tuberculosis (TB) contact investigation in Kampala, Uganda, between February 2014 and July 2017. We compared routine implementation involving community health workers (CHWs) screening and referring household contacts to clinics for TB evaluation to home-based HIV testing and sputum collection and transport with test results delivered by automated short messaging services (SMS). We carried out key informant interviews with CHWs and asked them to complete time-and-motion surveys. We estimated program costs from the perspective of the Ugandan health system, using top-down and bottom-up (components-based) approaches. We estimated total costs per contact investigated and per TB-positive contact identified in 2018 US dollars, one and five years after program implementation. ResultsThe total top-down cost was $472,327, including $358,504 (76%) for program development and $108,584 (24%) for program implementation. This corresponded to $320-$348 per household contact investigated and $8,873-$9,652 per contact diagnosed with active TB over a 5-year period. CHW time was spent primarily evaluating household contacts who returned to the clinic for evaluation (median 30 minutes per contact investigated, interquartile range [IQR]: 30-70), collecting sputum samples (median 29 minutes, IQR: 25-30) and offering HIV testing services (median 28 minutes, IQR: 17-43). Cost estimates were sensitive to infrastructural capacity needs, program reach, and the epidemiological yield of contact investigation. ConclusionOver 75% of all costs of the mHealth-facilitated TB contact investigation strategy were dedicated to establishing mHealth infrastructure and capacity. Implementing the mHealth strategy at scale and maintaining it over a longer time horizon could help decrease development costs as a proportion of total costs.
引用
收藏
页数:13
相关论文
共 50 条
  • [21] Understanding the barriers to the utilization of primary health care in a low-income setting: implications for health policy and planning
    Muhammed, Kurfi Abubakar
    Umeh, Kalu Nnena
    Nasir, Sambo M.
    Suleiman, Idris Hadejia
    JOURNAL OF PUBLIC HEALTH IN AFRICA, 2013, 4 (02) : 64 - 67
  • [22] Provider and Staff Perceptions and Experiences Implementing Behavioral Health Integration in Six Low-Income Health Care Organizations
    Farb, Heather
    Sacca, Katie
    Variano, Margaret
    Gentry, Lisa
    Relle, Meagan
    Bertrand, Jane
    JOURNAL OF BEHAVIORAL HEALTH SERVICES & RESEARCH, 2018, 45 (01): : 143 - 155
  • [23] Identifying Mobile Health Technology Experiences and Preferences of Low-Income Pregnant Women with Diabetes
    Leziak, Karolina
    Birch, Eleanor
    Jackson, Jenise
    Strohbach, Angelina
    Niznik, Charlotte
    Yee, Lynn M.
    JOURNAL OF DIABETES SCIENCE AND TECHNOLOGY, 2021, 15 (05): : 1018 - 1026
  • [24] Mobile Technology, Cancer Prevention, and Health Status Among Diverse, Low-Income Adults
    Purnell, Jason Q.
    Griffith, Julia
    Eddens, Katherine S.
    Kreuter, Matthew W.
    AMERICAN JOURNAL OF HEALTH PROMOTION, 2014, 28 (06) : 397 - 402
  • [25] Identifying low-income pregnant women's experiences and preferences with mobile health technology
    Leziak, Karolina
    Strohbach, Angelina
    Jackson, Jenise
    Niznik, Charlotte M.
    Yee, Lynn M.
    AMERICAN JOURNAL OF OBSTETRICS AND GYNECOLOGY, 2020, 222 (01) : S203 - S204
  • [26] Use of Mobile Health Applications in Low-Income Populations A Prospective Study of Facilitators and Barriers
    Liu, Patrick
    Astudillo, Katia
    Velez, Damaris
    Kelley, Lauren
    Cobbs-Lomax, Darcey
    Spatz, Erica S.
    CIRCULATION-CARDIOVASCULAR QUALITY AND OUTCOMES, 2020, 13 (09): : 687 - 691
  • [27] Postpartum Health Information Seeking Using Mobile Phones: Experiences of Low-Income Mothers
    Lucia Guerra-Reyes
    Vanessa M. Christie
    Annu Prabhakar
    Asia L. Harris
    Katie A. Siek
    Maternal and Child Health Journal, 2016, 20 : 13 - 21
  • [28] Developing and marketing mobile health applications for low-income working adults in Hong Kong
    Chan, Kara
    Zhuo, Yuyuan
    INTERNATIONAL JOURNAL OF PHARMACEUTICAL AND HEALTHCARE MARKETING, 2024,
  • [29] Postpartum Health Information Seeking Using Mobile Phones: Experiences of Low-Income Mothers
    Guerra-Reyes, Lucia
    Christie, Vanessa M. .
    Prabhakar, Annu
    Harris, Asia L.
    Siek, Katie A.
    MATERNAL AND CHILD HEALTH JOURNAL, 2016, 20 : S13 - S21
  • [30] Cost analysis and cost effectiveness of a subsidized community supported agriculture intervention for low-income families
    Jennifer A. Garner
    Karla L. Hanson
    Stephanie B. Jilcott Pitts
    Jane Kolodinsky
    Marilyn H. Sitaker
    Alice S. Ammerman
    Donald Kenkel
    Rebecca A. Seguin-Fowler
    International Journal of Behavioral Nutrition and Physical Activity, 20