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Not yet recruitingNCT07393308AMR; AMU; DDDUpdated Feb 6, 2026

Development and Implementation of Mobile Antibiograms to Optimize Empirical Antibiotic Prescriptions Among Prescribers in Tertiary Hospitals in Tanzania

An interventional study of Mobile antibiogram application and standard of care in Antimicrobial Prescribing Practices and Antimicrobial Resistance (AMR), sponsored by Muhimbili University of Health and Allied Sciences. Not yet recruiting at 2 sites in Tanzania. Open to participants aged 18 Years and older, including healthy volunteers. Per ClinicalTrials.gov, last updated 2026-02-06.

Sponsored by Muhimbili University of Health and Allied Sciences · Not applicable, Interventional, and Health services research

Phase
Not applicable
Study type
Interventional
Enrollment
300
Allocation
Non-randomized
Ages
18 Years and older
Sex
All
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Study summary

Antimicrobial resistance (AMR) is a critical issue, especially in Africa, with resistance to common antibiotics reaching 100% in some areas. In Tanzania, limited access to culture tests and antibiograms forces healthcare providers to rely on experience for prescribing, heightening AMR risks. This study aims to determine the effectiveness of mobile antibiograms in optimizing empirical antibiotic therapy in tertiary hospitals in Tanzania.

Read the detailed description

A pragmatic quasi-experimental design (hybrid type 1 trial) will be used to evaluate the effectiveness of mobile antibiograms on antibiotic use. The key role of the antibiogram is to guide empirical treatment of symptomatic infections using antibiotics ie., the antibiogram contains a list of susceptible and resistant antibiotics enabling the prescriber to rationally choose the antibiotic which is effective in clearing the infection. The study employs a three-phase, stepwise approach to assess and enhance antimicrobial use in Tanzanian hospitals. The first phase will be a baseline assessment using World Health Organization's Point Prevalence Survey and defined daily dose (DDD) to determine the pattern of antibiotic utilization and consumption respectively. The second phase involves developing a mobile antibiogram application through a participatory design with healthcare stakeholders. The final phase will use a quasi-experimental design to test the effectiveness of the mobile antibiogram on antimicrobial stewardship metrics like DDD per 1000 patient days, antibiotic appropriateness, infection-related mortality and length of hospital stay. The study sites will be Mbeya Zonal Referral Hospital (MZRH) as the intervention group and Benjamini Mkapa Hospital (BMH) as the control group. Additionally, a mixed-methods design (explanatory sequential design) will be used to assess the acceptability, feasibility, and adoption of the mobile antibiograms.

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Conditions studied

  • Antimicrobial Prescribing Practices
  • Antimicrobial Resistance (AMR)
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In context

Lead sponsor

Muhimbili University of Health and Allied Sciences is the lead sponsor of 15 studies on the registry; 1 is open to participants now.

Counted across the registry records on this site, refreshed daily.

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Who can participate

Ages eligible
18 Years and older
Sexes eligible
All
Accepts healthy volunteers
Yes

Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.

Inclusion criteria

  1. All prescribers working in the selected tertiary referral hospitals
  2. All prescribers owning smartphones
  3. Prescribers who consent to take part in the study

Exclusion criteria

Exclusion criteria

1. Temporarily employed prescribers

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Study design

Phase
Not applicable
Primary purpose
Health services research
Allocation
Non-randomized
Intervention model
Parallel assignment
Masking
None (open label)
Enrollment
300 participants (estimated)

Study arms

  • Active comparator
    standard of care

    Participants will be subjected to manual antibiogram which is the standard of care to guide the empirical prescription of antibiotics

    Other: standard of care

  • Experimental
    Mobile antibiogram

    Participants will be assigned to the mobile antibiogram application to guide the empirical prescription of antibiotics in addition to standard of care.

    Other: Mobile antibiogram application

Interventions

  • OtherMobile antibiogram application

    A mobile antibiogram application software containing antibiotic sensitivity test results specific to the health facility. This mobile antibiogram application will guide decision support for empirical prescription.

  • Otherstandard of care

    Participants will be assigned to manual antibiogram only.

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What researchers measure

Primary outcomes

  1. Pattern of antibiotic use

    Proportional change in antibiotic use among admitted patients

    Time frame: 12 months

Secondary outcomes

  1. Pattern of antibiotic resistance

    Number of resistances to antibiotics among admitted patients

    Time frame: 12 months

  2. Acceptability of mobile antibiograms

    % of acceptability of mobile antibiograms among prescribers

    Time frame: 12 months

  3. Feasibility of mobile antibiograms

    % of feasibility mobile antibiogram among prescribers in tertiary referral hospitals in Tanzania

    Time frame: 12 months

  4. Adoption of mobile antibiogram

    % of adoption of mobile antibiogram among prescribers in tertiary referral hospitals in Tanzania

    Time frame: 12 months

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Study locations

2 sites
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References and documents

Publications

  • Zimbwe KB, Yona YJ, Chiwambo CA, Chandika AB, Kiwelu HS, Shabani MM. Trends and patterns of antimicrobial consumption at Benjamin Mkapa Zonal Referral Hospital, Dodoma, Tanzania: a cross-sectional retrospective analysis. BMJ Open. 2024 Nov 13;14(11):e083842. doi: 10.1136/bmjopen-2023-083842. PubMed 39537568 ↗
  • Nsojo A, Mbotwa C, Rweyemamu L, Mbwanji G, Wilson F, George L, Mwasomola D, Mweya CN, Mwakyula I. In vitro performance of cost differentiated ceftriaxone brands against Escherichia coli: insights from a tertiary referral hospital in Mbeya, Tanzania. JAC Antimicrob Resist. 2024 Oct 14;6(5):dlae162. doi: 10.1093/jacamr/dlae162. eCollection 2024 Oct. PubMed 39403674 ↗
  • Mutagonda RF, Marealle AI, Nkinda L, Kibwana U, Maganda BA, Njiro BJ, Ndumwa HP, Kilonzi M, Mikomangwa WP, Mlyuka HJ, Felix FF, Myemba DT, Mwakawanga DL, Sambayi G, Kunambi PP, Ndayishimiye P, Sirili N, Mfaume R, Nshau A, Nyankesha E, Scherpbier R, Bwire GM. Determinants of misuse of antibiotics among parents of children attending clinics in regional referral hospitals in Tanzania. Sci Rep. 2022 Mar 22;12(1):4836. doi: 10.1038/s41598-022-08895-6. PubMed 35318386 ↗
  • Minzi OM, Kilonzi M, Mikomangwa WP, Bwire GM, Myemba DT, Marealle AI, Mlyuka HJ, Kibanga W, Mutagonda RF, Mwambete K. Update on bacterial and antibiotic susceptibility profiles among patients attending a tertiary referral hospital in Tanzania. J Glob Antimicrob Resist. 2021 Jun;25:87-88. doi: 10.1016/j.jgar.2021.02.030. Epub 2021 Mar 13. No abstract available. PubMed 33727206 ↗
  • Nkinda L, Mwakawanga DL, Kibwana UO, Mikomangwa WP, Myemba DT, Sirili N, Mwakalukwa R, Kilonzi M, Sambayi G, Maganda BA, Njiro BJ, Ndumwa HP, Mutagonda R, Marealle AI, Felix FF, Mlyuka HJ, Makuka G, Kubigwa SW, Kunambi PP, Mfaume R, Nshau AB, Bwire GM, Scherpbier R, Nyankesha E. Implementation of antibiotic stewardship programmes in paediatric patients in regional referral hospitals in Tanzania: experience from prescribers and dispensers. JAC Antimicrob Resist. 2022 Nov 23;4(6):dlac118. doi: 10.1093/jacamr/dlac118. eCollection 2022 Dec. PubMed 36439992 ↗
  • Zimbwe KB, Yona YJ, Chiwambo CA, Chandika AB, Kiwelu HS, Kizenga OS, Mleke MM, Shabani MM. Surveillance of antibiotics use in inpatients at Benjamin Mkapa Zonal Referral Hospital in Dodoma, Tanzania: a point prevalence survey. BMJ Open. 2024 Aug 3;14(8):e083444. doi: 10.1136/bmjopen-2023-083444. PubMed 39097319 ↗
  • Sangeda RZ, Kibona J, Munishi C, Arabi F, Manyanga VP, Mwambete KD, Horumpende PG. Assessment of Implementation of Antimicrobial Resistance Surveillance and Antimicrobial Stewardship Programs in Tanzanian Health Facilities a Year After Launch of the National Action Plan. Front Public Health. 2020 Aug 27;8:454. doi: 10.3389/fpubh.2020.00454. eCollection 2020. PubMed 32974264 ↗
  • Nkinda L, Kilonzi M, Felix FF, Mutagonda R, Myemba DT, Mwakawanga DL, Kibwana U, Njiro BJ, Ndumwa HP, Mwakalukwa R, Makuka G, Kubigwa SW, Marealle AI, Mikomangwa WP, Sambayi G, Kunambi PP, Maganda BA, Sirili N, Mfaume R, Nshau AB, Bwire GM, Scherpbier R, Nyankesha E, Ndayishimiye P. Drivers of irrational use of antibiotics among children: a mixed-method study among prescribers and dispensers in Tanzania. BMC Health Serv Res. 2022 Jul 29;22(1):961. doi: 10.1186/s12913-022-08359-7. PubMed 35902955 ↗
  • Mikomangwa WP, Bwire GM, Kilonzi M, Mlyuka H, Mutagonda RF, Kibanga W, Marealle AI, Minzi O, Mwambete KD. The Existence of High Bacterial Resistance to Some Reserved Antibiotics in Tertiary Hospitals in Tanzania: A Call to Revisit Their Use. Infect Drug Resist. 2020 Jun 17;13:1831-1838. doi: 10.2147/IDR.S250158. eCollection 2020. PubMed 32606832 ↗

Individual participant data

Plan to share: No

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Updates

Tracking since Sep 25, 2026
No changes since tracking began. The registry record was last updated on Feb 6, 2026, before this site started recording changes on Sep 25, 2026. Its history is on ClinicalTrials.gov ↗
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Registry details

Key details

Study ID
NCT07393308
Lead sponsor
Muhimbili University of Health and Allied Sciences
Responsible party
Sponsor
First posted
Feb 6, 2026
Start date
Feb 1, 2026 (estimated)
Primary completion
Jun 30, 2027 (estimated)
Completion
Jun 30, 2028 (estimated)
Last update
Feb 6, 2026

Study contacts

Alphonce Ignace Marealle, PhD
Contact
marealle2010@gmail.com
+255713629365
Wigilya Padili Mikomangwa, MSc
Contact
wpad.miko@gmail.com

Oversight

Data monitoring committee
No
FDA-regulated drug
No
FDA-regulated device
No
View the source record on ClinicalTrials.gov ↗

Not currently enrolling

This study is not yet recruiting, as verified in Jan 2026. You cannot join it, but the record below documents what was studied.

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