Development of a customized m-Health-based intervention to reduce loss to follow-up among patients undergoing treatment for cervical lesions at a rural referral Hospital, South Western Uganda

Background

Loss to follow-up (LTFU) in individuals undergoing cervical cancer treatment is a major challenge in many low resource settings. We describe development of a customized and tailored mHealth intervention for reducing LTFU among patients undergoing cervical cancer treatment at Mbarara Regional Referral Hospital (MRRH).

Methods

We interviewed all health care providers (HCPs) at the cervical cancer clinic of MRRH, between April and May 2023. Transcripts were subsequently derived, reviewed and coded to generate themes and categories using inductive content analytic approach. Four medical experts used this data to develop relevant SMS content, which was incorporated into an app.

Results

HCPs had owned a phone for 13.8 ≤ years, had worked at the clinic for 5 ≤ years, and used text messages regularly. Qualitative data revealed that the main challenge to re-engagement was absence of a reminder mechanism between HCPs and patients. HCPs preferred text and or audio mode of messaging to improve health care responsiveness to LTFUs, awareness, continuity of care, and health service uptake among the majority illiterate population; though with potential constraints of costs and workload. Identified key messaging content included; the importance of attending scheduled follow-ups, follow up visit date and clinic customization and tailoring the message to the intended recipient. SMS content was uploaded onto the cc-follow-up app platform and customized according to preferred language, day, frequency and time of delivery.

Conclusion

Tailoring an mHealth messaging intervention could help re-engage and reduce LTFU through improved information sharing, awareness, responsiveness, care engagement and medical compliance. A pilot study is required for our intervention in South Western Uganda.

Individual and Systems-Based Risk Factors for Diabetic Vitrectomy in an Urban Safety-Net Hospital

OBJECTIVE

To identify individual and systems-focused risk factors for pars plana vitrectomy among patients with proliferative diabetic retinopathy (PDR) in a diverse, urban, safety-net hospital setting.

DESIGN

Single-center, retrospective, observational, case-control study at Zuckerberg San Francisco General Hospital and Trauma Center between 2017 and 2022.

SUBJECTS

Two hundred twenty-two patients with PDR over a 5-year span (2017-2022), consisting of 111 cases who underwent vitrectomy for vision-threatening complications (tractional retinal detachment, nonclearing vitreous hemorrhage, and neovascular glaucoma) and 111 controls with PDR with no history of vitrectomy or vision-threatening complications. Controls were matched 1:1 through incidence density sampling.

METHODS

Medical records were reviewed from time of entry into hospital system to vitrectomy date (or date-matched clinic visit for controls). Individual-focused exposures included age, gender, ethnicity, language, homelessness, incarceration, smoking status, area deprivation index, insurance status, baseline retinopathy stage, baseline visual acuity, baseline hemoglobin A1c, panretinal photocoagulation status, and cumulative anti-VEGF treatments. System-focused exposures included external department involvement, referral route, time within hospital and ophthalmology systems, interval between screening and ophthalmology appointment, interval between conversion to proliferative disease and panretinal photocoagulation or first treatment, and loss-to-follow-up in intervals of active proliferative disease.

MAIN OUTCOME MEASURES

Odds ratios (ORs) for each exposure on vision-threatening diabetic complications requiring vitrectomy.

RESULTS

The absence of panretinal photocoagulation was the primary significant individual-focused risk factor for vitrectomy in the multivariable analysis (OR, 4.78; P = 0.011). Systems-focused risk factors included longer interval between PDR diagnosis and initial treatment (weeks; OR, 1.06; P = 0.024) and greater cumulative duration of loss-to-follow-up during intervals of active PDR (months; OR, 1.10; P = 0.002). Greater duration in the ophthalmology system was the primary systems-focused protective factor against vitrectomy (years; OR, 0.75; P = 0.035).

CONCLUSIONS

Largely modifiable variables modulate risk of complications requiring diabetic vitrectomy. Each additional month of loss-to-follow-up for patients with active proliferative disease increased odds of vitrectomy by 10%. Optimizing modifiable factors to promote earlier treatment and maintain critical follow-up in proliferative disease may reduce vision-threatening complications requiring vitrectomy in a safety-net hospital setting.

FINANCIAL DISCLOSURE(S)

Proprietary or commercial disclosure may be found in the Footnotes and Disclosures at the end of this article.

Competing risk models to evaluate the factors for time to loss to follow-up among tuberculosis patients at Ambo General Hospital

BACKGROUND

A major challenge for most tuberculosis programs is the inability of tuberculosis patients to complete treatment for one reason or another. Failure to complete the treatment contributes to the emergence of multidrug-resistant TB. This study aimed to evaluate the risk factors for time to loss to follow-up treatment by considering death as a competing risk event among tuberculosis patients admitted to directly observed treatment short course at Ambo General Hospital, Ambo, Ethiopia.

METHODS

Data collected from 457 tuberculosis patients from January 2018 to January 2022 were used for the analysis. The cause-specific hazard and sub-distribution hazard models for competing risks were used to model the outcome of interest and to identify the prognostic factors associated to treatment loss to follow-up. Loss to follow-up was used as an outcome measure and death as a competing event.

RESULTS

Of the 457 tuberculosis patients enrolled, 54 (11.8%) were loss to follow-up their treatment and 33 (7.2%) died during the follow up period. The median time of loss to follow-up starting from the date of treatment initiation was 4.2 months. The cause-specific hazard and sub-distribution hazard models revealed that sex, place of residence, HIV status, contact history, age and baseline weights of patients were significant risk factors associated with time to loss to follow-up treatment. The findings showed that the estimates of the covariates effects were different for the cause specific and sub-distribution hazard models. The maximum relative difference observed for the covariate between the cause specific and sub-distribution hazard ratios was 12.2%.

CONCLUSIONS

Patients who were male, rural residents, HIV positive, and aged 41 years or older were at higher risk of loss to follow-up their treatment. This underlines the need that tuberculosis patients, especially those in risk categories, be made aware of the length of the directly observed treatment short course and the effects of discontinuing treatment.