Literature DB >> 26060770

Tuberculosis Treatment Non-Adherence and Lost to Follow Up among TB Patients with or without HIV in Developing Countries: A Systematic Review.

Habteyes Hailu Tola1, Azar Tol1, Davoud Shojaeizadeh1, Gholamreza Garmaroudi1.   

Abstract

This systematic review intended to combine factors associated with tuberculosis treatment non-adherence and lost to follow up among TB patients with/without HIV in developing countries. Comprehensive remote electronic databases (MEDLINE, (PMC, Pub Med Central), Google scholar and Web of science) search was conducted using the following keywords: Tuberculosis, treatment, compliance, adherence, default, behavioural factors and socioeconomic factors. All types of studies intended to assess TB treatment non-adherence and lost to follow up in developing countries among adult TB patient from 2008 to data extraction date were included. Twenty-six original and one-reviewed articles, which meet inclusion criteria, were reviewed. TB treatment non-adherence and lost to follow up were continued across developing countries. The main factors associated with TB treatment non-adherence and lost to follow up were socioeconomic factors: lack of transportation cost, lack of social support, and patients-health care worker poor communication. Behavioural factors were Feeling better after few weeks of treatments, tobacco and alcohol use, knowledge deficit about duration of treatment and consequences of non-adherence and lost to follow up. TB treatment non-adherence and lost to follow up were continued across developing countries throughout the publication years of reviewed articles. Numerous, socioeconomic and behavioural factors were influencing TB treatment adherence and lost to follow up. Therefore, well understanding and minimizing of the effect of these associated factors is very important to enhance treatment adherence and follow up completion in developing countries.

Entities:  

Keywords:  Lost to follow up; Non-adherence; TB patients; Tuberculosis treatment

Year:  2015        PMID: 26060770      PMCID: PMC4449995     

Source DB:  PubMed          Journal:  Iran J Public Health        ISSN: 2251-6085            Impact factor:   1.429


Introduction

Despite the availability of effective short course regimen first line drug since 1980s (1, 2), TB remains a major global health problem; it causes ill-health and death among millions of people each year and ranks second leading cause of death from an infectious disease worldwide, after human immunodeficiency virus (HIV) (2). Current global estimates indicate that about one in every three people in the world is believed to be infected with Mycobacterium tuberculosis (M. tuberculosis) and at risk of developing the disease (3). According to WHO global TB report of 2012 there are 8.7 million new cases and 1.4 million deaths in 2011; and almost one million death among HIV positive TB patients (2, 4). The proportion of TB cases co-infected with HIV is highest in African region countries; overall, African region accounted for 79% of TB cases among people living with HIV (PLHIV) (2, 5, 6), because the synergy between TB and HIV is strong; i.e. PLHIV ranged from 20-37 folds at increased risk of active TB development compared to HIV uninfected people depending on the state of HIV epidemic in the area (4, 7, 8). The burden of TB among low and meddle income countries is fuelled due to HIV pandemic, and smoothen by numerous socioeconomic conditions (9). According to research findings, socioeconomic factors such as homelessness, lack of food, financial limitation, lack of transportation cost, low education level, gender, poor health care worker-patient communication, joblessness, social supports etc. are highly associated with TB treatment non-adherence and lost to follow up (9–11). These conditions are related to each other and form a network of causal pathways against TB patient tolerance ability (9). Additionally, overcrowded living condition (9, 12), HIV related immunological weakness (13) and malnutrition (14, 15) are factors that facilitate transmission of bacilli, treatment non-adherence and lost to follow up at economically disadvantaged settings. In general many social determinants of health (SDH) reinforce social stratification in society. Social stratification in turn to an unequal distribution of the social determinants of health, including material living conditions and psychosocial circumstances as well as behavioural and biological risk factors to health problems including TB; finally influence patients’ treatment adherence tolerance (16). Beside, socioeconomic factors, patient’s individual behavioural factors, like knowledge about TB disease, duration of treatment, consequences of treatment non-adherence and lost to follow up, feeling better after few weeks of treatment, fear of stigma; attitudes towards treatment and poor communication with health care workers, lack of self-efficacy or motivation to complete treatment are the main behavioural factors that associate with TB treatment non-adherence and lost to follow up (17-19). Furthermore, alcohol consumption (19–22) and cigarette smoking (17, 22) are the two individual behavioural factors that associated with TB treatment non-adherence and lost to follow up that reported so far. TB treatment non-adherence and lost to follow up are continues throughout the nations, and it extended its potential consequences, like initial treatment failure and relapse, which are in turns to prolonging morbidity, mortality, prolonged transmission of bacilli and development of medication resistance types of M. tuberculosis)(23). The current anti-TB therapies are fraught with problems, predominantly because of the long-term treatment and the increasing occurrence of medication resistance types of M. tuberculosis organism (24, 25), which is most probably due to treatment non-adherence and lost to follow up. The most dangerous thing of drug resistant is formation of Multi drug resistant TB (MDR-TB) (24, 26–28) and extensively drug resistant TB (XDR-TB) (28). According to WHO 2012 global TB report about 3.7% of new TB patients in the world infected with MDR-TB strains. Of 3.7%, 9% is XDR-TB strain (2). Despite, implementation of internationally recommended strategy (DOTS) in almost all parts of WHO (29–31) regions and many national and international efforts exerted against TB prevention and control, still the patients are failing to complete their treatment to declare cure or complete the treatment. Current WHO report shows considerable TB cases are failed after several treatments, many are relapsing (226, 813) after completion of the treatment, many are inter to retreatment (348, 734) after completion of treatment and many cases are developing MDR-TB among retreatment cases (20%) throughout the world (2). For this, most probability treatment non-adherence and lost to follow up are the main responsible. Non-adherence to treatment is the patient’s inability or refusal to take TB medications according to prescribed by health professional (32–35). Similarly lost to follow up is a TB patient who did not start treatment or whose treatment was interrupted for 2 consecutive months or more (35). Hence, intensive case notification and observing patients while they are taking the medication only are not sufficient to prevent TB treatment non-adherence and lost to follow up. However, well understanding and intervening of associated factors which are influencing TB patients’ tolerance ability and promote treatment non-adherence and lost to follow up is corner stone to good treatment success. Moreover, well understanding and then intervening of these associated factors at the community, family, individual, health care worker and health care system levels are very important through conducting comprehensive large scale community based interventional study. Therefore, this systematic review was intended to combine the associated factors with TB treatment non-adherence and lost to follow up among TB patients with or without HIV, which previously studied in developing countries since 2008.

Methods

Data base searched

MEDLINE, (PMC, Pub Med Central), Google scholar and Web of science electronic data bases were searched exhaustively using keywords: Tuberculosis, Treatment, compliance, adherence, Default, behavioural factors and socioeconomic factors. All types of studies intended to assess TB treatment non-adherence and lost to follow up as the primary outcome variable in developing countries among TB patients were included. Our search was restricted to articles published since 2008 in English, and conference abstracts were not searched.

Inclusion and exclusion Criteria

Any types of study, which conducted in developing country since 2008, intended to assess the main factors that associated with TB treatment non-adherence or lost to follow up on adult TB patients with or without HIV and treated under DOTS was included. Studies conducted on children, prisoner, home based DOTS and on latent TB were not included.

Article Search and selection methods

A comprehensive and exhaustive search was executed using Tehran University of Medical Sciences electronic library, to identify all applicable studies published in English. During our search, 129 total original articles which were intended to assess factors associated with TB treatment non-adherence or lost to follow up separately or collectively as primary outcome were identified. Of these 89 were excluded because they were not conducted in the developing country, not examined factors affect non-adherence or lost to follow up of TB treatment, and conducted before 2008 as clearly indicated on Fig. 1. Finally, 26 original and one review articles were selected for review Fig.1.
Fig. 1

Procedural demonstration of articles selection and evaluation

Procedural demonstration of articles selection and evaluation

Types of outcome measured

The main outcome variables were assessed socioeconomic variables such as age, gender, lack of food, money, transportation cost and social support from family, friends, community and heath care worker, distance from treatment centre and lack of job. Individual behavioural variables were assessed, fear of stigma, feeling better after few weeks of treatments, knowledge about TB treatment (duration, curability, and side effects), and consequences of treatment non-adherence and lost to follow up, alcohol and tobacco use. Additionally, TB patients HIV and antiretroviral status were assessed as the associated factors. Data extraction: Data extraction was done by first author on pre-developed format based on outcomes intended to be assessed, then it re-checked by second and third authors separately for the quality purpose. Study characteristics: In this review we describe study population, study settings (health centre, hospital, population based), study area (urban/rural), sample size, treatment methods (DOTS or not), treatment interruption time, HIV status of study participants, factors associated with TB treatment non-adherence and lost to follow up.

Results

A clear summery of countries where the study conducted, number of total articles selected, and factors associated with TB treatment non-adherence and lost to follow up are presented in Table 1.
Table 1

A summary of socioeconomic and behavioral factors associated with TB treatment non-adherence and lost follow up among TB patients with HIV or without HIV in developing countries

Country NameReferenceMain Associated Factors of TB Treatment Non-adherence and lost to follow up
Moroccan(36)Smoking, low education, urban residency, male gender
Moroccan(37)Feeling better, education, TB treatment knowledge, lack of job, distance from health center, long duration of treatment, side effect, social stigma
Uzbekistan(38)Lack of education, drug side effects, DOTS weakness, lack of supervision visits during treatment, distance from health centre, lack of knowledge, migration, financial difficulty, long duration of treatment, lack of transportation
Uzbekistan(39)Incarceration /imprisonment, smoking, complaint, poverty, side effects, HCW-patient relation
Bostwana(40)Male gender, young age, higher education, distance from HC, alcohol use
Indonesia(41)Feeling better, lack of money and social support, negative attitude towards HCW, non adherence history, TB treatment knowledge, side effects, stigma, poor patient-HCW relation, lack of health education, getting bored of the pills
Ethiopia(42)Time-consuming treatment procedure, distance from HC, rigid routines at health centre, lack of money, food, transportation, social support, lack of job, taking drug in empty stomach, health staff attitudes
India(43)Feeling better, knowledge of treatment, side effects, poor attitude of health workers, negative attitude toward TB patients by HCW, drug abuse, lack of health education, lack of income, job, food, social support, social stigma
S. Africa1(44)Poverty, having co-morbidity, alcohol, smoking, male sex, age, education, perception,
India(45)Male gender, age above 35, side effects
S. Africa(46)HIV status, being on ART, lack of money, low education, lack of knowledge, smoking, alcohol use, stigma
Ethiopia1(47)Distance from HC, poor interaction with health care worker, Social support, stigma, TB treatment knowledge, lack of income, education, food, transportation cost, pills burden, side effects, starting time of ARV
Uganda1(48)Poverty, alcohol, ART, transportation, distance from health care, TB treatment knowledge, Alcohol use, smoking, being on ARV, patient — HCW relation
Ethiopia1(49)Lack of health education, transportation cost, Patient—health care provider relationship, forgetting, feeling better, side effects
China(50)Alcohol use, smoking, inadequate knowledge, poor patient provider interaction, side effects, instantly missing doses, DOT effectiveness
China(51)Male gender, smoking, age above 30, lack of family, high education, lack of income, alcohol use
Ethiopia(52)Distance from health centre, financial burdens, use of traditional healer, delay in diagnosis, quality of health services, lack of food, lack of transportation, lack of job, communication with HCW and social support
Kenya(53)TB treatment knowledge, feeling well, worsen of disease, alcohol use, laziness, Drug shortage, service delay, long time treatment, lack of support, discouragement from people, side effects, ;lack of transportation, stress from family, smoking, interruption history
S-Saharan African(54)Distance from health care centre, lack of repeated smears, unit transfer after the intensive phase, side effects, lack of family support, lack of knowledge, age above 25 years
Brazil(55)Smoking, incarceration history, symptom complaint score >15, low income, HIV status
Kenya(56)Employment status, level of education, duration of treatment, distance from treatment area, alcohol abuse, small monthly income, lack of knowledge, stigma, side effects, herbal medication use, waiting time for services
Nigeria(57)Age above 30, HIV status, distance from health care centre, rural residence
Brazil1(58)Lack of job, alcohol use, homelessness, old age, family loss or divorced, HIV infection, migration, side effect
Uganda1(59)Distance from health centre, long waiting time for treatment, drug shortage, lack of opportunity to express feelings, TB treatment knowledge, side effects, lack, employment status, forgetting, feelings of lack of family support, fear of stigma
Thailand1(60)Alcohol use, feeling better, side effects, work place conflict, Lack of treatment supporter
India(61)Transportation cost, smoking, alcohol use, male gender, long duration of the treatment, feeling better, distance from HC, drug shortage, lack of self-efficacy, stigma
Uganda(62)Alcohol use, feeling better, side effects, work place conflict
A summary of socioeconomic and behavioral factors associated with TB treatment non-adherence and lost follow up among TB patients with HIV or without HIV in developing countries Except four countries all selected article were conducted in 22 high TB burden countries (2). Two were from Morocco (36, 37), two from Uzbekistan (38, 39), one from Botswana (40) and one from Indonesia (41). Of 27 articles 13 were conducted to identify associated factors with TB treatment non-adherence (37, 40–50); two treatment compliance (52, 53) and 12 treatment default (lost to follow up) (36, 38, 39, 54-62). Only 7 articles were specified study population HIV status (44, 47-50, 58-60). The study settings were rural, urban, rural-urban combination, population based in both rural and urban; at hospital and primary health care, and in both public and private sectors. However, two studies conducted in Uzbekistan (38, 39), were not specified study population characteristics and settings. Treatment strategy and Observer: For almost all studies the treatment strategy was DOTS and the observers were health care worker at health care facility; except for study from Botswana (40) and Indonesia (41) were not DOTS strategy and health care observer used. Treatment Interruption or lost to follow up time: Majority of the studies were reported the time of treatment interruption or lost to follow up occurred during continuation phase.

Socioeconomic and behavioural factors associated with TB treatment non-adherence and lost to follow up

Financial limitation(40-53, 55, 56, 58-60), lack of food(38, 42, 44, 47, 48, 52, 56, 58, 60), lack of transportation cost(38, 41, 42, 44, 45, 47-49, 51-53, 56, 58-60), lack of job(38, 39, 42-45, 47, 52, 56, 59), lack of social support (support from family, friends, health care worker and community) (38, 39, 42-44, 47, 50, 52-54, 56, 58-61) and lack of basic education(36, 42-44, 46-51, 55, 56, 58, 59, 61) were the main socioeconomic factors that associated with TB treatment non-adherence and lost to follow up (Table 1). Also, numerous individual behavioural factors such as, knowledge shortage about TB treatment and its medications side effects (37, 38, 43, 44, 46-49, 53-56, 59-61); fear of stigma(38, 41, 45-47, 50, 56, 59, 61), feeling better after few weeks of treatments (disappearance of symptom) (37, 38, 41, 42, 44, 46, 59, 61, 62), tobacco smoking (36, 43-46, 48, 53, 56, 58, 60, 61), alcohol consumption(39, 40, 44-46, 48, 53, 55, 56, 58, 61, 62) and medication side effects (37-39, 41, 42, 47-51, 53, 54, 56, 60-62) were associated with TB treatment non-adherence and lost to follow up (Table 1). Beside, socioeconomic and behavioural factors, patient-health care worker poor communication, lack of information/health education about TB disease and its treatment, lack of support and lack of chance to speak about their worry to health care worker (38, 41, 48, 49, 56, 59-61), distance from health care centre (37, 40-42, 45, 47, 48, 51-57, 59), patient’s HIV status(39, 44, 46-48, 55, 57, 59, 60) and being on antiretroviral therapy (ARV) or pills burden(44, 46–49) were associated with TB treatment non-adherence and lost to follow up. However, in some studies patient’s HIV status (47) and being on antiretroviral therapy (58–60) were reported as protective factors.

Discussion

Socioeconomic, individual behaviour, health care worker and patient’s HIV status were the main factors that associated with TB treatment non-adherence and lost to follow up across developing countries during publication years of articles reviewed. These factors were challenge patient’s tolerance ability to follow their treatment correctly until they declare cure or complete. According to research evidence these factors influence on TB treatment adherence and follow up were demonstrated since many years. For instance, Greene JA reported TB patients were enter to treatment non-adherent due to poverty (63) and other review study reported financial burden was the main cause of treatment interruption (64). These reports were similar with this the results from articles were reviewed. This financial constraint that recognized through lack of money, transportation cost and food has been continued to exert their influence on TB patients tolerance ability to adhere their treatment until declare cure or complete. Studies from Thailand and Ethiopia reported the same factors i.e., lack of income was resulted to lack of food, transportation cost, and then upset TB patients to continue their treatment (52, 60). For TB patients with HIV, financial limitation is double burden; because, many PLHIV are living with single family wife or husband; and caring for their children and themselves, therefore, when they start TB treatment which needs daily follow up, the double burden of financial limitation due to both HIV and TB treatment aggravate the problem, then they obliged to interrupt TB treatment or both (52). In this review fear of stigma was another main behavioural factor that associated with TB treatment non-adherence and lost to follow up (38, 41, 45-47, 50, 56, 59, 61). Patients were interrupting their treatment because of fear of stigma. This finding was alongside with a study, which indicated that perception of TB as a stigmatizing disease was related to early losing from treatment follow up (64). Social support, support from family, friends, neighbourhoods, general community and health care worker were identified as extremely important for TB treatment adherence, and for strictly accomplishment of the treatment; because it is to large extent compensation for financial shortage, food, transportation cost and physical support in taking to clinic (42, 52). Moreover, this review revealed that lack of social support obliges to stop or interrupt their treatment, because of lack of money and food compensation. For TB-HIV co-infected patients lack of social support was more difficult; because most of them are living with single family (husband or wife) and the stigma attached to the disease (52). Beside, a socioeconomic factor, this review revealed that numerous individual behavioural factors were associated with TB treatment non-adherence and lost to follow up. Patient’s knowledge deficit about curability of the disease, availability and duration of the treatment, consequences of non-adherence and lost to follow up, and potential medication side effects were strongly associated with TB treatment non-adherence and lost to follow up (64). Similarly, studies from Morocco (37) and Uzbekistan (38) reported doubt about curability of TB was the main associated factor with TB treatment non-adherent and lost to follow up. This shows that knowledge deficit is continuing to associate with treatment non-adherence and lost to follow up. It is known reality, as the result of treatment, patients feeling better or the symptoms are resolved after few weeks of treatment. After that, patients inter to interrupt their treatment by considering as they cured, because they do not know the duration of treatment. This fact was reported from Indonesia, Kenya and Uganda as feeling better, which accompany with knowledge deficit about the duration of treatment was associated with treatment interruption (41, 53, 59). This finding was alongside with review article reported in 2007 (64). Tobacco smoking (36, 43-45, 48, 53, 56, 58, 60, 61) and alcohol consumption (39, 40, 44-46, 48, 53, 55, 56, 58, 61, 62) were the two individual behavioral factors associated with TB treatment non-adherence and lost to follow up. These findings were similar with other studies (65, 66) on tobacco smoking and a study reported on alcohol consumption (67). Patient-health care worker poor communication was another factor associated with TB treatment non-adherence and lost to follow up (38, 41, 48, 49, 56, 59-61). This was similar with study reported earlier (68–70). Similarly health care worker lack of cooperation to support patients who are physically weak or they practicing DOTS inflexibly without considering patient’s physical ability to come for follow up was obliged patients to interrupt their treatment because of physical inability (42). Although, WHO reported that DOTS is almost cover 93% population among WHO regions since 2006 (18), however, large volumes of research findings were witnessed as still patients from developing countries were interrupting their treatment due distance from treatment center to their home (37, 40-42, 45, 47, 48, 51-57, 59). Besides, patient’s HIV status (39, 44, 46-48, 55, 57, 59, 60) and being on ART (44, 46–49) were the factors associated with TB treatment non-adherence and lost to follow up. However, few studies reported both HIV status (47) and being on ARV (58–60) as protective factors for TB treatment non-adherence and lost to follow up. Demographic factors, older age (40, 43, 44, 57, 58) and male gender (36, 39, 40, 44-46, 52, 57, 58) were associated with TB treatment non-adherence and lost to follow up. However, a study from Botswana reported that, young age was associated with non-adherence or lost to follow up (40).

Conclusion

Our review confirmed that, treatment non-adherence and lost to follow up were continued across the studies’ publication years in developing countries. Majority of studies reported non-adherence and lost to follow up were occurred in continuation phase. Socioeconomic factors (age gender, lack of food, transportation cost, social support and job), and individual behavioral factors (fear of stigma, feeling better after few weeks of treatment, tobacco and alcohol use), patient knowledge about TB disease and its treatment, consequences of non-adherence and lost to follow up were associated with non-adherence and lost to follow up. Beside socioeconomic and behavioral factors, patient-health care worker poor communication, distance from treatment center and both TB and HIV medications side effects were associated with TB treatment non-adherence and lost to follow up.

Ethical considerations

Ethical issues (Including plagiarism, Informed Consent, misconduct, data fabrication and/or falsification, double publication, redundancy etc.) were strictly controlled by the authors.
  59 in total

Review 1.  Adherence to tuberculosis care in Canadian Aboriginal populations, Part 2: a comprehensive approach to fostering adherent behaviour.

Authors:  Pamela Orr
Journal:  Int J Circumpolar Health       Date:  2011-04-21       Impact factor: 1.228

2.  Which patients are able to adhere to tuberculosis treatment? A study in a rural area in the northwest part of Turkey.

Authors:  Oner Balbay; Ali Nihat Annakkaya; Peri Arbak; Cahit Bilgin; Mete Erbas
Journal:  Jpn J Infect Dis       Date:  2005-06       Impact factor: 1.362

3.  Risk factors associated with default among new smear positive TB patients treated under DOTS in India.

Authors:  Sophia Vijay; Prahlad Kumar; Lakbir Singh Chauhan; Balasangameshwara Hanumanthappa Vollepore; Unnikrishnan Pallikkara Kizhakkethil; Sumathi Govinda Rao
Journal:  PLoS One       Date:  2010-04-06       Impact factor: 3.240

4.  Medication-adherence predictors among patients with tuberculosis or human immunodeficiency virus infection in Burkina Faso.

Authors:  Ziemlé Clément Méda; Yu-Ting Lin; Issiaka Sombié; Daouda Maré; Donald E Morisky; Yi-Ming Arthur Chen
Journal:  J Microbiol Immunol Infect       Date:  2013-06-14       Impact factor: 4.399

5.  Predictors of tuberculosis (TB) and antiretroviral (ARV) medication non-adherence in public primary care patients in South Africa: a cross sectional study.

Authors:  Pamela Naidoo; Karl Peltzer; Julia Louw; Gladys Matseke; Gugu McHunu; Bomkazi Tutshana
Journal:  BMC Public Health       Date:  2013-04-26       Impact factor: 3.295

6.  The impact of knowledge and attitudes on adherence to tuberculosis treatment: a case-control study in a Moroccan region.

Authors:  Nabil Tachfouti; Katia Slama; Mohammed Berraho; Chakib Nejjari
Journal:  Pan Afr Med J       Date:  2012-06-28

7.  Determinants of poor adherence to anti-tuberculosis treatment in mumbai, India.

Authors:  Suparna Bagchi; Guirish Ambe; Nalini Sathiakumar
Journal:  Int J Prev Med       Date:  2010

Review 8.  Patient adherence to tuberculosis treatment: a systematic review of qualitative research.

Authors:  Salla A Munro; Simon A Lewin; Helen J Smith; Mark E Engel; Atle Fretheim; Jimmy Volmink
Journal:  PLoS Med       Date:  2007-07-24       Impact factor: 11.069

9.  Long distance travelling and financial burdens discourage tuberculosis DOTs treatment initiation and compliance in Ethiopia: a qualitative study.

Authors:  Takele Tadesse; Meaza Demissie; Yemane Berhane; Yigzaw Kebede; Markos Abebe
Journal:  BMC Public Health       Date:  2013-05-01       Impact factor: 3.295

10.  Default from tuberculosis treatment in Tashkent, Uzbekistan; who are these defaulters and why do they default?

Authors:  Epco Hasker; Maksad Khodjikhanov; Shakhnoz Usarova; Umid Asamidinov; Umida Yuldashova; Marieke J van der Werf; Gulnoz Uzakova; Jaap Veen
Journal:  BMC Infect Dis       Date:  2008-07-22       Impact factor: 3.090

View more
  52 in total

Review 1.  Addressing the tuberculosis-depression syndemic to end the tuberculosis epidemic.

Authors:  A C Sweetland; A Kritski; M A Oquendo; M E Sublette; A Norcini Pala; L R Batista Silva; A Karpati; E C Silva; M O Moraes; J R Lapa E Silva; M L Wainberg
Journal:  Int J Tuberc Lung Dis       Date:  2017-08-01       Impact factor: 2.373

2.  Prevalence, chronological trends and predictors of treatment outcomes among patients with tuberculosis in Southern Tunisia across two decades (1995-2016).

Authors:  Mariem Ben Hmida; Houda Ben Ayed; Makram Koubaa; Maissa Ben Jmaa; Maroua Trigui; Fatma Hammemi; Tarak Ben Jmaa; Fatma Smaoui; Habib Feki; Jamel Damak; Mounir Ben Jemaa
Journal:  Germs       Date:  2021-06-02

3.  Associations of Race, Insurance, and Zip Code-Level Income with Nonadherence Diagnoses in Primary and Specialty Diabetes Care.

Authors:  Sourik Beltrán; Daniel J Arenas; Itzel J López-Hinojosa; Elizabeth L Tung; Peter F Cronholm
Journal:  J Am Board Fam Med       Date:  2021 Sep-Oct       Impact factor: 2.395

4.  Patient-centered mobile tuberculosis treatment support tools (TB-TSTs) to improve treatment adherence: A pilot randomized controlled trial exploring feasibility, acceptability and refinement needs.

Authors:  Sarah J Iribarren; Hannah Milligan; Cristina Chirico; Kyle Goodwin; Rebecca Schnall; Hugo Telles; Alejandra Iannizzotto; Myrian Sanjurjo; Barry R Lutz; Kenneth Pike; Fernando Rubinstein; Marcus Rhodehamel; Daniel Leon; Jesse Keyes; George Demiris
Journal:  Lancet Reg Health Am       Date:  2022-06-10

5.  Drug-susceptible tuberculosis treatment outcomes and its associated factors among inmates in prison settings in Bauchi State, Nigeria, 2014-2018.

Authors:  Peter Okpeh Amede; Elizabeth Adedire; Aishat Usman; Celestine Attah Ameh; Faruk Saleh Umar; Chukwuma David Umeokonkwo; Muhammad Shakir Balogun
Journal:  PLoS One       Date:  2022-07-05       Impact factor: 3.752

6.  Gaps in tuberculosis care in West Sepik Province of Papua New Guinea.

Authors:  T Kelebi; K C Takarinda; R Commons; B Sissai; J Yowei; M Gale
Journal:  Public Health Action       Date:  2019-09-21

7.  Integrating tuberculosis and noncommunicable diseases care in low- and middle-income countries (LMICs): A systematic review.

Authors:  Chuan De Foo; Pami Shrestha; Leiting Wang; Qianmei Du; Alberto L García-Basteiro; Abu Saleh Abdullah; Helena Legido-Quigley
Journal:  PLoS Med       Date:  2022-01-18       Impact factor: 11.069

8.  Discontinuation of tuberculosis treatment among children in the Kampala Capital City Authority health facilities: a mixed-methods study.

Authors:  Leonard Kibirige; Jonathan Izudi; Stephen Okoboi
Journal:  BMC Infect Dis       Date:  2021-06-01       Impact factor: 3.090

9.  Effect of a phone reminder system on patient-centered tuberculosis treatment adherence among adults in Northwest Ethiopia: a randomised controlled trial.

Authors:  Kassahun Dessie Gashu; Kassahun Alemu Gelaye; Richard Lester; Binyam Tilahun
Journal:  BMJ Health Care Inform       Date:  2021-06

10.  Long-Term Mortality and Active Tuberculosis Disease Among Patients Who Were Lost to Follow-Up During Second-Line Tuberculosis Treatment in 2011-2014: Population-Based Study in the Country of Georgia.

Authors:  Giorgi Kuchukhidze; Davit Baliashvili; Natalia Adamashvili; Ana Kasradze; Russell R Kempker; Matthew J Magee
Journal:  Open Forum Infect Dis       Date:  2021-03-15       Impact factor: 3.835

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.