Dataset Information

Health-seeking pathway and factors leading to delays in tuberculosis diagnosis in West Pokot County, Kenya: A grounded theory study.

ABSTRACT:

Background

Patients' health-seeking behaviour can lead to delays in tuberculosis (TB) diagnosis, however little is known about the experiences and treatment pathways of patients diagnosed with TB in Kenya. The aim of this study is to explore the health seeking practices and factors contributing to delay in TB diagnosis.

Methods

This study was based on explorative qualitative research using a constructivist grounded theory approach. A total of 61 TB patients in the intensive phase of treatment were recruited as informants in the study. Six focus group discussions and 15 in-depth interviews were used to collect data. Data were analysed through three step coding using the grounded theory approach.

Results

Participants adopted different treatment pathways as they sought care from a pluralistic health care system involving traditional healers, herbalists, private clinic, drug shops and the public health sector. The study revealed an explanatory model of factors leading to delay illustrated by the participant's expression "I suffered for a long time." The model is comprised of three categories that lead to delays, namely individual, social-cultural and structural factors.

Conclusion

There is a need to improve timely diagnosis of TB through innovative approaches such as intensive case finding. Similarly, the health-care system should decentralize TB services as much as possible and offer free diagnostic services to increase accessibility.

SUBMITTER: Mbuthia GW

PROVIDER: S-EPMC6261612 | biostudies-literature | 2018

REPOSITORIES: biostudies-literature

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Publications

Health-seeking pathway and factors leading to delays in tuberculosis diagnosis in West Pokot County, Kenya: A grounded theory study.

Mbuthia Grace Wambura GW Olungah Charles Owour CO Ondicho Tom Gesora TG

PloS one 20181128 11

<h4>Background</h4>Patients' health-seeking behaviour can lead to delays in tuberculosis (TB) diagnosis, however little is known about the experiences and treatment pathways of patients diagnosed with TB in Kenya. The aim of this study is to explore the health seeking practices and factors contributing to delay in TB diagnosis.<h4>Methods</h4>This study was based on explorative qualitative research using a constructivist grounded theory approach. A total of 61 TB patients in the intensive phase ...[more]

PMID: 30485379

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Project description:BackgroundDespite robust Tuberculosis (TB) program with effective chemotherapy and high coverage, treatment interruption remains a serious problem. Interrupting TB treatment means that patients remain infectious for longer time and are at risk of developing drug resistance and death. This study was conducted to identify and describe predictors of TB treatment interruption.MethodsA cohort of 291 notified TB patients from 20 selected health facilities in Vihiga County were enrolled in to the study and followed up until the end of treatment. Patient characteristics that potentially predict treatment interruption were recorded during treatment initiation using structured questionnaires. Patients who interrupted treatment were traced and reasons for stoppage of treatment recorded. Kaplan Meier method was used to estimate probabilities of treatment interruption by patient characteristics and determine time intervals. The Log rank test for the equality of survival distributions analyzed significance of survival differences among categorical variables. For multivariable analysis, Cox proportional hazard model, was fitted to identify predictors of TB treatment interruption through calculation of hazard ratios with 95% Confidence Intervals (CIs). For variable analysis, statistical significance was set at P ≤ 0.05. Reasons for treatment interruption were categorized according to most recurrent behavioral or experiential characteristics.ResultsParticipants' median age was 40 years (IQR = 32-53) and 72% were male. Of the 291 patients, 11% (n = 32) interrupted treatment. Incidences of treatment interruption significantly occurred during intensive phase of treatment. Independent predictors of treatment interruption included alcohol consumption (HR = 9.2, 95% CI; 2.6-32.5, p < 0.001), being female (HR = 5.01, 95% CI; 1.68-15.0, p = 0.004), having primary or lower education level (HR = 3.09, 95% CI; 1.13-8.49, p < 0.029) and having a treatment supporter (HR = 0.33, 95% CI; 0.14-0.76, p = 0.009). Reasons for interrupting treatment were categorized as: alcoholism, feeling better after treatment initiation, associated TB stigma, long distance to health facility, lack of food, perception of not having TB and pill burden.ConclusionTB treatment interruption was high and largely associated with patients' socio-demographic and behavioral characteristics. These multidimensional factors suggest the need for interventions that not only target individual patients but also environment in which they live and receive healthcare services.

Project description:BackgroundIn resource-limited settings, underlying causes of death (UCOD) often are not ascertained systematically, leading to unreliable mortality statistics. We reviewed medical charts to establish UCOD for decedents at two high volume mortuaries in Kisumu County, Kenya, and compared ascertained UCOD to those notified to the civil registry.MethodsMedical experts trained in COD certification examined medical charts and ascertained causes of death for 456 decedents admitted to the mortuaries from April 16 through July 12, 2019. Decedents with unknown HIV status or who had tested HIV-negative >90 days before the date of death were tested for HIV. We calculated annualized all-cause and cause-specific mortality rates grouped according to global burden of disease (GBD) categories and separately for deaths due to HIV/AIDS and expressed estimated deaths per 100,000 population. We compared notified to ascertained UCOD using Cohen's Kappa (κ) and assessed for the independence of proportions using Pearson's chi-squared test.FindingsThe four leading UCOD were HIV/AIDS (102/442 [23.1%]), hypertensive disease (41/442 [9.3%]), other cardiovascular diseases (23/442 [5.2%]), and cancer (20/442 [4.5%]). The all-cause mortality rate was 1,086/100,000 population. The highest cause-specific mortality was in GBD category II (noncommunicable diseases; 516/100,000), followed by GBD I (communicable, perinatal, maternal, and nutritional; 513/100,000), and III (injuries; 56/100,000). The HIV/AIDS mortality rate was 251/100,000 population. The proportion of deaths due to GBD II causes was higher among females (51.9%) than male decedents (42.1%; p = 0.039). Conversely, more men/boys (8.6%) than women/girls (2.1%) died of GBD III causes (p = 0.002). Most of the records with available recorded and ascertained UCOD (n = 236), 167 (70.8%) had incorrectly recorded UCOD, and agreement between notified and ascertained UCOD was poor (29.2%; κ = 0.26).ConclusionsMortality from infectious diseases, especially HIV/AIDS, is high in Kisumu County, but there is a shift toward higher mortality from noncommunicable diseases, possibly reflecting an epidemiologic transition and improving HIV outcomes. The epidemiologic transition suggests the need for increased focus on controlling noncommunicable conditions despite the high communicable disease burden. The weak agreement between notified and ascertained UCOD could lead to substantial inaccuracies in mortality statistics, which wholly depend on death notifications.

Dataset Information

Health-seeking pathway and factors leading to delays in tuberculosis diagnosis in West Pokot County, Kenya: A grounded theory study.

Background

Methods

Results

Conclusion

Publications

Health-seeking pathway and factors leading to delays in tuberculosis diagnosis in West Pokot County, Kenya: A grounded theory study.

Similar Datasets

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