Quality Assessment and Improvement Harvard – PEPFAR Tanzania, Nigeria and Botswana.

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Presentation transcript:

Quality Assessment and Improvement Harvard – PEPFAR Tanzania, Nigeria and Botswana

Overview Quality improvement framework Quality management infrastructure QI methodology –Supportive supervision and capacity building –Operations research activities Lessons learnt and future plans

Quality Improvement Framework Improved Quality of Services Monitoring services Setting QI objectives/ priorities Quality improvement strategies and programmes Integration of QI into care and treatment Evaluate impact, adopt, adapt or discard SOPs Establishing Accredited Service with standardized SOPs

QI Framework - infrastructure Quality management infrastructure Example: Tanzania Central team, district clinical monitors,site QI teams Quality Indicators agreed with clinical teams Data collection, analysis and reports by central team, clinical monitors Findings used to identify gaps in quality care by site teams and prioritize areas for QI QM team support site teams to develop quality improvement programs, Implementation of QI programs supervised by clinical monitors in each district

Objective of QM: Advocate for the best possible quality of services 1.Continuous assessment of quality of care 2.Support and facilitate improvement of quality of care Quality improvement teams are important for implementation

Methods used for QI Capacity building and technical support Basic training Mentorship/Preceptor ship (daily) and focused Clinical meetings (CME) Analysis of monitoring data for QI indictors Pre-planned quarterly site feed back Supportive supervision Operations research programmes Patients chart reviews (semi-annually) Using monitoring data for analysis of selected quality indicators (quarterly) Patient time flow assessments (annually) Patient satisfaction exit interviews (annually) Providers competence assessment (annually) Assessment of quality of MDH technical support (quarterly) -

Semi-annual Chart Reviews E.g. Review TB diagnosis Mbagala (N=103) Mbagala baseline: Adult TB screening - 63% (N=256); documentation of TB diagnosis only 30% Intervention targets: Increase Tb screening from 63% to 84% and documentation from 30% to 60% in 3 months Chart reviews provide details not available on the database

Quarterly Analysis: Selected Quality Indicators From Clinical Database E.g. Cotrimoxazole prophylaxis Interventions (Jan-March 09) 1.Refresher training on new eligibility criteria 2.Availed cotrimoxazole eligibility criteria memos at physician and nurses rooms 3.Strengthened last desk checks for cotrimoxazole prescription for eligible patients 4.Gave reminders to physicians and nurses at CMEs and site meetings 10 quality indicators based on National and program standards

Semiannual Patient Satisfaction Surveys Exit interviews: measures of various components of quality E.g. reasons for facility choice & quality of communication with heath care providers Enables assessment of patients perception of services quality

Providers Competence & Assessment Addressed/ assessed in various ways –Tanzania Pre and post test exams during basic HIV and ART management training. Post test scores <75% are referred to clinical monitors for further onsite training Heath care worker survey (annually). Identifies health workers attitudes & obstacles to providing quality health care to patients

Providers Competence & Assessment (2) Botswana : Formal Training for Monitoring & Evaluation Unit and Lab Master Trainers Targets for training interventions –Clinical & Lab Master Trainers (CMTs & LMTs) –Monitoring & Evaluation Unit of MoH –District Health Teams and ARV Site Managers QAI Activities to standardize QAI efforts to improve quality of HIV/AIDS care and treatment at ARV sites Tools: assessments, questionnaires, checklists, logs, manuals, curricula

Providers Competence & Assessment (3) Botswana activities –Two training sessions for CMTs and LMTS –QAI training for ARV leadership for District Health Teams and ARV Site Master Trainers –QAI Sensitization Workshop for District Health Teams and Hospital ARV Site Managers –DEC trainings –2006 x 2 and September 2009 –PIMS II training – 4 trainings in 2009 –QlikView training – 2 trainings in 2009 –National Lab Training Manual training 2 trainings in 2008 & 3 trainings to date in 2009

Assessment of impact of technical support provided to private sites Technical support for cotrimoxazole prescribing in private facility sites Interventions –Eligibility criteria reinforced (reminded) –New National guidelines booklets made available –Strengthened Last desk checks

New findings with implications for quality improvement

Gender influences on ART adherence and outcomes (1) Of 48,754 adults placed on ART 64% were women. Number of patients on treatment for ≥12 months: 11,924, Males 4,270 (36%)) Following 1 year of treatment, slightly more women than men had an undetectable viral load (64% vs. 60%; p = 0001) Females more likely to have VL≤400 c/mL at month 12 Evidence from Nigeria indicates women are more ART adherent than men Meloni, S. et al. 2009

Gender influences on ART adherence and outcomes (2) Multivariate modeling showed –Adherence of >95% influenced outcome –Women were more adherent than men particularly in the first 12 months of therapy How can existing services increase ART adherence in male patients? Patients with ≥95% Adherence By Gender and Time on ART

Co-infections/ Co-morbidities and Treatment Outcomes (1) AIDS-related KS Remains a significant cause of morbidity and mortality One year mortality in Jos University Teaching Hospital was 23% for AIDS-KS. Case control study with 48 patients with AIDS- related KS AIDS-KS more tuberculosis (p<.02) Lower CD4+ cell counts (p<.002) Higher mortality (p<.002) Intl J. of STD & AIDS 20:413-9 (2009) How can challenges be addressed for quality improvements and better clinical outcomes?

Co-infections/ Co-morbidities and Treatment Outcomes (2) Hepatitis B virus High co-infection with HBV shown in Jos, Nigeria. 262 (16.7%) HIV-HBV co-infected participants had: –Significantly lower CD4+ T-cell counts (107 Vs 130 cells/mL; p<0.001) and –Higher HIV viral loads (4.96 Vs 4.75 log copies/mL, p<0.01) prior to the initiation of ART than the HIV mono-infected subjects.

Percent Viral load <400 copies Statistically Significant Effect of HBV on Response to ART J. Idoko et al, in press –After 24 weeks of ART, HBeAg positive subjects were nearly half as likely to reach HIV viral suppression (<400 cp/ml) compared to HIV mono-infected subjects but had similar CD4+ cell increases. At 48 weeks, there was no significant effect of HBV on ART response. Should patients with HBV co-infection be considered eligible for ARVs?

Lessons learnt and way forwards Inexpensive strategies can be used to identify gaps and intervene for quality health care delivery Such research findings should be used in decisions for improved quality of care Way forwards –Expand strategies for utility of clinical data bases to improve quality of HIV care and treatment –Increase site capacity for analysis/reporting for QI –Share feedback reports –Link quality indicators with clinical outcome measures –Provide technical support to more municipal hospitals to strengthen quality improvement programs