Missed opportunity for alcohol use disorder screening and management in primary health care facilities in northern rural Tanzania:a cross-sectional survey

Objective: The study aimed to identify the missed opportunity for detection and management of alcohol use disorder by primary health care workers. Design: A cross-sectional survey Setting: Outpatient services in the six governmental primary health care facilities in Moshi district council in Tanzania. Participants: A total of 1604 adults were screened for alcohol use disorder (AUD) using the Alcohol Use Disorder Identification Test (AUDIT). Participants scoring 8 or above then provided details about their help-seeking behavior and barriers to seeking care. Participants’ records were reviewed to assess the screening and management of AUD. Results: In the last 12 months, 60.7% reported alcohol use, and heavy episodic drinking (HED) was reported by 37.3%. AUD (AUDIT ≥ 8) was present in 23.9%. Males were more likely to have HED (aPR = 1.43;95% CI:1.3 to 1.4) or AUD (aPR = 2.9; 95% CI 1.9 to 4.2). Both HED and AUD increased with age. Only one participant (0.3%) had documented AUD screening and management. Only 5% of participants screening positive for AUD had sought help. Reasons for not seeking care were thinking that the problem would get better by itself (55.0%), wanting to handle the problem alone (42.0%), or not being bothered by the problem (40.0%). Conclusion: While reported alcohol use, HED, and AUD are common among patients presenting to primary healthcare facilities in northern Tanzania, help-seeking behavior and detection are very low. Not screening for AUD in primary health care is a missed opportunity for early detection and management. There is an urgent need to develop interventions to increase the detection of AUD by health care providers, while also addressing help-seeking behavior and barriers to seeking care

Integration of Alcohol Use Disorder Interventions in General Health Care Settings in Sub-Saharan Africa:A Scoping Review

Introduction: Alcohol use disorder (AUD) is among the leading cause of morbidity and mortality in sub-Saharan Africa. Despite this, AUD is often not detected in health care settings, which contributes to a wide treatment gap. Integrating services for mental, neurological, and substance use disorders in general health care settings is among the recommended strategies to narrow this treatment gap. This scoping review aimed to map the available evidence on integration of AUD interventions in general health care settings in sub-Saharan Africa.Methods: We searched four databases (PubMed, PsycINFO, CINAHL, and Africa Wide Information) for publications up to December 2020. The search strategy focused on terms for alcohol use, alcohol interventions, and sub-Saharan African countries. Studies that reported AUD interventions in general health care settings in sub-Saharan Africa were eligible for inclusion. Over 3,817 potentially eligible articles were identified. After the removal of duplicates and screening of abstracts, 56 articles were included for full article review. Of these, 24 papers reporting on 22 studies were eligible and included in a narrative review.Results: Of the 24 eligible articles, 19 (80%) described AUD interventions that were being delivered in general health care settings, 3 (12%) described plans or programs for integrating AUD interventions at different levels of care, including in health facilities, and 2 (8%) studies reported on AUD interventions integrated into general health care settings.Conclusions: This review shows that there is limited evidence on the integration of AUD interventions in health care settings in sub-Saharan Africa. There is an urgent need for studies that report systematically on the development, adaptation, implementation, and evaluation of integrated AUD interventions in health care settings in sub-Saharan Africa

Adaptation of a model for integration of interventions for alcohol use disorders in primary health care in Tanzania

BACKGROUND: Integrating evidence-based interventions for people with alcohol use disorder (AUD) into primary healthcare (PHC) can increase access to care and reduce morbidity, mortality, and population burden. However, for the integration to be feasible, acceptable, and sustainable, there is a need to contextualize the approach and involve stakeholders. Therefore, this study aimed to use participatory methods to adapt a model for integrating AUD interventions in Tanzania's PHC system at the community, facility, and organizational levels.METHODS: A mixed-methods study was used. Participants include key mental health stakeholders, experts, and PHC providers. We conducted a situational analysis to investigate opportunities and constraints in the existing systems of care, utilizing data available from the routine collection and/or in the public domain, individual semi-structured interviews (n = 11), and focus group discussions (3 groups; total n = 26 participants) and a series of theory of change (ToC) workshops (n = 32). Data from the three methods were triangulated to develop the adapted model for integrating interventions for AUD in PHC.RESULTS: A situational appraisal revealed limited community, facility, and organizational resources and infrastructures for supporting services delivery of integrated AUD interventions. Also, shortage of health workforce, inadequate health management information systems, and limited medical supply and financing. Nevertheless, the theory of change proposed integrated AUD intervention packages and strategies to facilitate integrated care for people with AUD. Additionally, the barriers and facilitators for implementing these integrated AUD interventions and how to overcome them were explored.CONCLUSIONS: The adapted model for the integrated AUD intervention in Tanzanian PHC revealed limited resources and system functioning for facilitating integrated AUD services. Nevertheless, it proposes the needed integrated AUD interventions and its barriers, facilitators, and strategies for overcoming them. There is a need to pilot the adapted model to inform plans for more comprehensive implementation or scaling up

Adaptation of a model for integration of interventions for alcohol use disorders in primary health care in Tanzania

BACKGROUND: Integrating evidence-based interventions for people with alcohol use disorder (AUD) into primary healthcare (PHC) can increase access to care and reduce morbidity, mortality, and population burden. However, for the integration to be feasible, acceptable, and sustainable, there is a need to contextualize the approach and involve stakeholders. Therefore, this study aimed to use participatory methods to adapt a model for integrating AUD interventions in Tanzania's PHC system at the community, facility, and organizational levels.METHODS: A mixed-methods study was used. Participants include key mental health stakeholders, experts, and PHC providers. We conducted a situational analysis to investigate opportunities and constraints in the existing systems of care, utilizing data available from the routine collection and/or in the public domain, individual semi-structured interviews (n = 11), and focus group discussions (3 groups; total n = 26 participants) and a series of theory of change (ToC) workshops (n = 32). Data from the three methods were triangulated to develop the adapted model for integrating interventions for AUD in PHC.RESULTS: A situational appraisal revealed limited community, facility, and organizational resources and infrastructures for supporting services delivery of integrated AUD interventions. Also, shortage of health workforce, inadequate health management information systems, and limited medical supply and financing. Nevertheless, the theory of change proposed integrated AUD intervention packages and strategies to facilitate integrated care for people with AUD. Additionally, the barriers and facilitators for implementing these integrated AUD interventions and how to overcome them were explored.CONCLUSIONS: The adapted model for the integrated AUD intervention in Tanzanian PHC revealed limited resources and system functioning for facilitating integrated AUD services. Nevertheless, it proposes the needed integrated AUD interventions and its barriers, facilitators, and strategies for overcoming them. There is a need to pilot the adapted model to inform plans for more comprehensive implementation or scaling up

A pilot study of implementing an adapted model for integration of interventions for people with alcohol use disorders in Tanzanian primary healthcare facilities

BACKGROUND: Ensuring that evidence-based interventions for people with alcohol use disorders (AUD) are acceptable, effective, and feasible in different socio-cultural and health system contexts is essential. We previously adapted a model of integration of AUD interventions for the Tanzanian primary healthcare system. This pilot study aimed to assess the impact on AUD detection and the acceptability and feasibility of the facility-based components of this model from the perspective of healthcare providers (HCPs).METHODS: This mixed-methods study comprised a pre-post quasi-experimental study and a qualitative study. The integrated model included training HCPs in managing AUD, introducing systematic screening for AUD, documentation of AUD service utilization, and supportive supervision. We collected information on the number of people identified for AUD three months before and after piloting the service model. A non-parametric trend test, a distribution-free cumulative sum test, was used to identify a change in the identification rate of AUD beyond that observed due to secular trends or, by chance, three months before and after implementing the integrated AUD facility-based interventions. The Mann-Kendal test was used to assess the statistical significance of the trend. We conducted three focus group discussions exploring the experience of HCPs and their perspectives on facilitators, barriers, and strategies to overcome them. The focus group discussions were analyzed using thematic analysis.RESULTS: During the pre-implementation phase of the facility-based interventions of the adapted AUD model, HCPs assessed 322 people for AUD over three months, ranging from a minimum of 99 to a maximum of 122 per month. Of these, 77 were identified as having AUD. Moreover, HCPs screened 2058 people for AUD during implementation; a minimum of 528 to a maximum of 843 people were screened for AUD per month for the three months. Of these, 514 screened positive for AUD (AUDIT ≥ 8). However, this change in screening for AUD was not statistically significant (p-value = 0.06). HCPs reported that knowledge and skills from the training helped them identify and support people they would not usually consider having problematic alcohol use. Perceived barriers to implementation included insufficient health personnel compared to needs and inconvenient health management information systems. HCPs proposed strategies to overcome these factors and recommended multisectoral engagement beyond the health system.CONCLUSIONS: Although the change in the trend in the number of people screened for AUD by HCPs post-implementation was not statistically significant, it is still feasible to implement the facility-based components of the adapted integrated AUD model while addressing the identified bottlenecks and strategies for implementation. Therefore, a large-scale, adequately powered implementation feasibility study is needed. Findings from this study will be used to finalize the adapted model for integrating AUD interventions for future implementation and larger-scale evaluation.</p

Comparative effectiveness of abatacept versus tocilizumab in rheumatoid arthritis patients with prior TNFi exposure in the US Corrona registry

BACKGROUND: We compared the effectiveness of abatacept (ABA) vs tocilizumab (TCA) in tumor necrosis factor inhibitor (TNFi) experienced patients. METHODS: We identified rheumatoid arthritis (RA) patients from a large observational US cohort (1 January 2010-31 May 2014) who had discontinued at least one TNFi and initiated ABA or TCZ in moderate or high disease activity based on the Clinical Disease Activity Index (CDAI) and had no prior exposure to the comparator drug. Using propensity score matching (1:1) stratified by prior TNF use (1 TNFi vs ≥2 TNFis), effectiveness at 6 months after initiation was evaluated. Mean change in CDAI over 6 months following initiation was the primary outcome, with secondary outcomes of achievement of low disease activity/remission (CDAI ≤ 10) and mean change in modified Health Assessment Questionnaire (mHAQ) score. RESULTS: The 264 pairs of propensity score-matched ABA and TCZ initiators were well matched with no substantial differences in the baseline characteristics, defined as standardized differences \u3e0.1 in the stratification. Both treatment groups had similar mean change in CDAI at 6 months (-11.3 in ABA vs -9.9 in TCZ; mean difference -1.27, 95% CI -3.65, 1.11). Similar proportions of both treatment groups achieved low disease activity/remission (adjusted odds ratio for ABA vs TCZ 0.99, 95% CI 0.69, 1.43). Mean change in mHAQ was -0.12 in ABA initiators vs -0.11 in TCZ initiations (mean difference -0.01, 95% CI -0.09, 0.06). CONCLUSIONS: Patients receiving either ABA or TCZ had substantial improvement in clinical disease activity. In this propensity score-matched sample, similar outcomes were observed for both treatment cohorts

The comparative effectiveness of abatacept versus anti-tumour necrosis factor switching for rheumatoid arthritis patients previously treated with an anti-tumour necrosis factor

OBJECTIVE: We compared the effectiveness of abatacept (ABA) versus a subsequent anti-tumour necrosis factor inhibitor (anti-TNF) in rheumatoid arthritis (RA) patients with prior anti-TNF use. METHODS: We identified RA patients from a large observational US cohort (2/1/2000-8/7/2011) who had discontinued at least one anti-TNF and initiated either ABA or a subsequent anti-TNF. Using propensity score (PS) matching (n:1 match), effectiveness was measured at 6 and 12 months after initiation based on mean change in Clinical Disease Activity Index (CDAI), modified American College of Rheumatology (mACR) 20, 50 and 70 responses, modified Health Assessment Questionnaire (mHAQ) and CDAI remission in adjusted regression models. RESULTS: The PS-matched groups included 431 ABA and 746 anti-TNF users at 6 months and 311 ABA and 493 anti-TNF users at 12 months. In adjusted analyses comparing response following treatment with ABA and anti-TNF, the difference in weighted mean change in CDAI (range 6-8) at 6 months (0.46, 95% CI -0.82 to 1.73) and 12 months was similar (-1.64, 95% CI -3.47 to 0.19). The mACR20 responses were similar at 6 (28-32%, p=0.73) and 12 months (35-37%, p=0.48) as were the mACR50 and mACR70 (12 months: 20-22%, p=0.25 and 10-12%, p=0.49, respectively). Meaningful change in mHAQ was similar at 6 and 12 months (30-33%, p=0.41 and 29-30%, p=0.39, respectively) as was CDAI remission rates (9-10%, p=0.42 and 12-13%, p=0.91, respectively). CONCLUSIONS: RA patients with prior anti-TNF exposures had similar outcomes if they switched to a new anti-TNF as compared with initiation of ABA

PREDICTING THE IMPACT OF JOB SATISFACTION LEVEL IN BOLSTERING TURNOVER INTENTIONS OF FRONTLINE HEALTH WORKERS: EVIDENCE FROM SOUTHERN NIGERIA

Improvement in health care delivery requires a deliberate focus on quality of health services. Nigeria is among the 57 countries worldwide considered by The World Health Organization (WHO) to experience a critical shortage of health workers. While it is evident that there is high turnover among frontline health workers (i.e. frontline health workers, midwives, nurse/midwives, community health officers and community health extension workers), the magnitude of or reasons for turnover is complex, challenging and unknown. Their intention to leave their jobs in the next 5 years has not also been investigated. Hence, this study assessed the key enablers and drivers of turnover intention of frontline health workers in Nigeria. The study used a quantitative approach to address the research questions.&nbsp;This research is directed at managing job satisfaction levels of frontline health workers in Nigeria. Four hospitals were purposively selected and adjudged to be among the best private hospitals in Nigeria based on their standard and popularity, length of existence, standard medical equipment and high customer patronage. Data were collected from 782 frontline health workers and analyzed with descriptive statistics, Structural and Measurement models. The findings indicated that 56% of frontline health workers planned to leave the hospital next year, and 66% said they would look for another work if the situation at the hospital become progressively unsatisfactory. Salary satisfaction, promotion satisfaction, and job satisfaction all influence turnover intentions. The majority of nurses want to move, thus hospital management should re-evaluate the wage and incentive scheme. Promotions must be offered honestly and equitably, and training and education programs must be established to help frontline health workers advance in their careers. Implementation of friendly healthcare strategies that reflect the needs of frontline health workers is imperative to reduce turnover intention and improve health service outcome