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1.
Arch Public Health ; 81(1): 57, 2023 Apr 18.
Article in English | MEDLINE | ID: mdl-37072820

ABSTRACT

BACKGROUND: The Dakshata program in India aims to improve resources, providers' competence, and accountability in labour wards of public sector secondary care hospitals. Dakshata is based on the WHO Safe Childbirth Checklist coupled with continuous mentoring. In Rajasthan state, an external technical partner trained, mentored and periodically assessed performance; identified local problems, supported solutions and assisted the state in monitoring implementation. We evaluated effectiveness and factors contributing to success and sustainability. METHODS: Using three repeated mixed-methods surveys over an 18-month period, we assessed 24 hospitals that were at different stages of program implementation at evaluation initiation: Group 1, training had started and Group 2, one round of mentoring was complete. Data on recommended evidence-based practices in labour and postnatal wards and in-facility outcomes were collected by directly observing obstetric assessments and childbirth, extracting information from case sheets and registers, and interviewing postnatal women. A theory-driven qualitative assessment covered key domains of efficiency, effectiveness, institutionalization, accountability, sustainability, and scalability. It included in-depth interviews with administrators, mentors, obstetric staff, and officers/mentors from the external partner. RESULTS: Overall, average adherence to evidence-based practices improved: Group 1, 55 to 72%; and Group 2, 69 to 79%, (for both p < 0.001) from baseline to endline. Significant improvement was noted in several practices in the two groups during admission, childbirth, and within 1 hour of birth but less in postpartum pre-discharge care. We noted a dip in several evidence-based practices in 2nd assessment, but they improved later. The stillbirth rate was reduced: Group 1: 1.5/1000 to 0.2; and Group 2: 2.5 to 1.1 (p < 0.001). In-depth interviews revealed that mentoring with periodic assessments was highly acceptable, efficient means of capacity building, and ensured continuity in skills upgradation. Nurses felt empowered, however, the involvement of doctors was low. The state health administration was highly committed and involved in program management; hospital administration supported the program. The competence, consistency, and support from the technical partner were highly appreciated by the service providers. CONCLUSION: The Dakshata program was successful in improving resources and competencies around childbirth. The states with low capacities will require intensive external support for a head start.

2.
PLOS Glob Public Health ; 2(8): e0000530, 2022.
Article in English | MEDLINE | ID: mdl-36962724

ABSTRACT

Quality of intrapartum care is essential for improving pregnancy outcomes; several models for improving performance are tested, globally. Dakshata is one such WHO SCC-based national program-improving resources, providers' competence, and accountability-in public sector secondary care hospitals of India. Andhra Pradesh state devised strategy of mentoring by the handpicked member from within the obstetric team, supported by external technical partner. We evaluated the effectiveness and assessed contextual factors to success of the program. We conducted pre and post mentoring mixed-method surveys to evaluate the change in evidence-based intrapartum and newborn care practices and stillbirth rates, across 23 of 38 eligible hospitals. We directly observed obstetric assessments and childbirth, extracted data from casesheets and registers, interviewed beneficiaries and conducted facility surveys. We in-depth interviewed stakeholders from state, district and facility managers, mentors and obstetric staff, and external managers for theory-driven qualitative assessment. After one year we found, average adherence to practices sustained high during admission (81%, 81%); improved during childbirth (78%, 86%; p = 0.016); moderate within one hour of birth (72%, 71%), and poor postpartum care before discharge (46% to 43%). Stillbirths reduced from 11(95% CI, 9-13) to 4(3-5) per 1000 births (p<0.001). Some practices did not improve even after sustained reinforcement. Commitment from state, engaging district officers, monitoring and feedback by external managers enabled supportive setting. The structured training and mentoring package, and periodic assessments delivered under supervision ensured the standards of mentoring. The mentoring model is acceptable, effective, less costly and scalable; appears sustainable if state commits to institutionalising a long-term mentoring with adequate monitoring. We conclude that the SCC-based mentoring and skill building program showed improvement in practices during childbirth while it sustained high levels of care during admission, but no improvement in postpartum care. The state needs to monitor and ensure continuous mentoring with required infrastructural support.

3.
Implement Sci ; 16(1): 4, 2021 01 07.
Article in English | MEDLINE | ID: mdl-33413504

ABSTRACT

BACKGROUND: Improving quality of care is a key priority to reduce neonatal mortality and stillbirths. The Safe Care, Saving Lives programme aimed to improve care in newborn care units and labour wards of 60 public and private hospitals in Telangana and Andhra Pradesh, India, using a collaborative quality improvement approach. Our external evaluation of this programme aimed to evaluate programme effects on implementation of maternal and newborn care practices, and impact on stillbirths, 7- and 28-day neonatal mortality rate in labour wards and neonatal care units. We also aimed to evaluate programme implementation and mechanisms of change. METHODS: We used a quasi-experimental plausibility design with a nested process evaluation. We evaluated effects on stillbirths, mortality and secondary outcomes relating to adherence to 20 evidence-based intrapartum and newborn care practices, comparing survey data from 29 hospitals receiving the intervention to 31 hospitals expected to receive the intervention later, using a difference-in-difference analysis. We analysed programme implementation data and conducted 42 semi-structured interviews in four case studies to describe implementation and address four theory-driven questions to explain the quantitative results. RESULTS: Only 7 of the 29 intervention hospitals were engaged in the intervention for its entire duration. There was no evidence of an effect of the intervention on stillbirths [DiD - 1.3 percentage points, 95% CI - 2.6-0.1], on neonatal mortality at age 7 days [DiD - 1.6, 95% CI - 9-6.2] or 28 days [DiD - 3.0, 95% CI - 12.9-6.9] or on adherence to target evidence-based intrapartum and newborn care practices. The process evaluation identified challenges in engaging leaders; challenges in developing capacity for quality improvement; and challenges in activating mechanisms of change at the unit level, rather than for a few individuals, and in sustaining these through the creation of new social norms. CONCLUSION: Despite careful planning and substantial resources, the intervention was not feasible for implementation on a large scale. Greater focus is required on strategies to engage leadership. Quality improvement may need to be accompanied by clinical training. Further research is also needed on quality improvement using a health systems perspective.


Subject(s)
Quality Improvement , Stillbirth , Child , Female , Hospitals , Humans , India , Infant , Infant Mortality , Infant, Newborn , Pregnancy
4.
Implement Sci ; 15(1): 27, 2020 05 04.
Article in English | MEDLINE | ID: mdl-32366269

ABSTRACT

BACKGROUND: Quality improvement collaboratives are widely used to improve health care in both high-income and low and middle-income settings. Teams from multiple health facilities share learning on a given topic and apply a structured cycle of change testing. Previous systematic reviews reported positive effects on target outcomes, but the role of context and mechanism of change is underexplored. This realist-inspired systematic review aims to analyse contextual factors influencing intended outcomes and to identify how quality improvement collaboratives may result in improved adherence to evidence-based practices. METHODS: We built an initial conceptual framework to drive our enquiry, focusing on three context domains: health facility setting; project-specific factors; wider organisational and external factors; and two further domains pertaining to mechanisms: intra-organisational and inter-organisational changes. We systematically searched five databases and grey literature for publications relating to quality improvement collaboratives in a healthcare setting and containing data on context or mechanisms. We analysed and reported findings thematically and refined the programme theory. RESULTS: We screened 962 abstracts of which 88 met the inclusion criteria, and we retained 32 for analysis. Adequacy and appropriateness of external support, functionality of quality improvement teams, leadership characteristics and alignment with national systems and priorities may influence outcomes of quality improvement collaboratives, but the strength and quality of the evidence is weak. Participation in quality improvement collaborative activities may improve health professionals' knowledge, problem-solving skills and attitude; teamwork; shared leadership and habits for improvement. Interaction across quality improvement teams may generate normative pressure and opportunities for capacity building and peer recognition. CONCLUSION: Our review offers a novel programme theory to unpack the complexity of quality improvement collaboratives by exploring the relationship between context, mechanisms and outcomes. There remains a need for greater use of behaviour change and organisational psychology theory to improve design, adaptation and evaluation of the collaborative quality improvement approach and to test its effectiveness. Further research is needed to determine whether certain contextual factors related to capacity should be a precondition to the quality improvement collaborative approach and to test the emerging programme theory using rigorous research designs.


Subject(s)
Cooperative Behavior , Evidence-Based Practice/organization & administration , Quality Improvement/organization & administration , Group Processes , Guideline Adherence , Hospital Bed Capacity , Humans , Implementation Science , Leadership , Organizational Culture , Practice Guidelines as Topic , Problem Solving
5.
PLoS Med ; 16(7): e1002860, 2019 07.
Article in English | MEDLINE | ID: mdl-31335869

ABSTRACT

BACKGROUND: The Indian government supports both public- and private-sector provision of hospital care for neonates: neonatal intensive care is offered in public facilities alongside a rising number of private-for-profit providers. However, there are few published reports about mortality levels and care practices in these facilities. We aimed to assess care practices, causes of admission, and outcomes from neonatal intensive care units (NICUs) in public secondary and private tertiary hospitals and both public and private medical colleges enrolled in a quality improvement collaborative in Telangana and Andhra Pradesh-2 Indian states with a respective population of 35 and 50 million. METHODS AND FINDINGS: We conducted a cross-sectional study between 30 May and 26 August 2016 as part of a baseline evaluation in 52 consenting hospitals (26 public secondary hospitals, 5 public medical colleges, 15 private tertiary hospitals, and 6 private medical colleges) offering neonatal intensive care. We assessed the availability of staff and services, adherence to evidence-based practices at admission, and case fatality after admission to the NICU using a range of tools, including facility assessment, observations of admission, and abstraction of registers and telephone interviews after discharge. Our analysis is adjusted for clustering and weighted for caseload at the hospital level and presents findings stratified by type and ownership of hospitals. In total, the NICUs included just over 3,000 admissions per month. Staffing and infrastructure provision were largely according to government guidelines, except that only a mean of 1 but not the recommended 4 paediatricians were working in public secondary NICUs per 10 beds. On admission, all neonates admitted to private hospitals had auscultation (100%, 19 of 19 observations) but only 42% (95% confidence interval [CI] 25%-62%, p-value for difference is 0.361) in public secondary hospitals. The most common single cause of admission was preterm birth (25%) followed by jaundice (23%). Case-fatality rates at age 28 days after admission to a NICU were 4% (95% CI 2%-8%), 15% (9%-24%), 4% (2%-8%) and 2% (1%-5%) (Chi-squared p = 0.001) in public secondary hospitals, public medical colleges, private tertiary hospitals, and private medical colleges, respectively, according to facility registers. Case fatality according to postdischarge telephone interviews found rates of 12% (95% CI 7%-18%) for public secondary hospitals. Roughly 6% of admitted neonates were referred to another facility. Outcome data were missing for 27% and 8% of admissions to private tertiary hospitals and private medical colleges. Our study faced the limitation of missing data due to incomplete documentation. Further generalizability was limited due to the small sample size among private facilities. CONCLUSIONS: Our findings suggest differences in quality of neonatal intensive care and 28-day survival between the different types of hospitals, although comparison of outcomes is complicated by differences in the case mix and referral practices between hospitals. Uniform reporting of outcomes and risk factors across the private and public sectors is required to assess the benefits for the population of mixed-care provision.


Subject(s)
Delivery of Health Care, Integrated/trends , Hospital Mortality/trends , Hospitals, Private/trends , Hospitals, Public/trends , Infant Mortality/trends , Intensive Care Units, Neonatal/trends , Intensive Care, Neonatal/trends , Quality Indicators, Health Care/trends , Cross-Sectional Studies , Guideline Adherence/trends , Healthcare Disparities/trends , Humans , India , Infant , Patient Admission/trends , Personnel Staffing and Scheduling/trends , Practice Guidelines as Topic , Risk Assessment , Risk Factors , Time Factors , Treatment Outcome
6.
Glob Health Action ; 12(1): 1581466, 2019.
Article in English | MEDLINE | ID: mdl-30849300

ABSTRACT

BACKGROUND: The collaborative quality improvement approach proposed by the Institute for Healthcare Improvement has the potential to improve coverage of evidence-based maternal and newborn health practices. The Safe Care, Saving Lives initiative supported the implementation of 20 evidence-based maternal and newborn care practices, targeting labour wards and neonatal care units in 85 public and private hospitals in Telangana and Andhra Pradesh, India. OBJECTIVE: We present a protocol for the evaluation of this programme which aims to (a) estimate the effect of the initiative on evidence-based care practices and mortality; (b) evaluate the mechanisms leading to changes in adherence to evidence-based practices, and their relationship with contextual factors; (c) explore the feasibility of scaling-up the approach. METHODS: The mixed-method evaluation is based on a plausibility design nested within a phased implementation. The 29 non-randomly selected hospitals comprising wave II of the programme were compared to the 31 remaining hospitals where the quality improvement approach started later. We assessed mortality and adherence to evidence-based practices at baseline and endline using abstraction of registers, checklists, observations and interviews in intervention and comparison hospitals. We also explored the mechanisms and drivers of change in adherence to evidence-based practices. Qualitative methods investigated the mechanisms of change in purposefully selected case study hospitals. A readiness assessment complemented the analysis of what works and why. We used a difference-in-difference approach to estimate the effects of the intervention on mortality and coverage. Thematic analysis was used for the qualitative data. DISCUSSION: This is the first quality improvement collaborative targeting neonatal health in secondary and tertiary hospitals in a middle-income country linked to a government health insurance scheme. Our process evaluation is theory driven and will refine hypotheses about how this quality improvement approach contributes to institutionalization of evidence-based practices.


Subject(s)
Maternal Health Services/organization & administration , Quality Improvement/organization & administration , Cooperative Behavior , Evidence-Based Practice , Female , Humans , India , Infant, Newborn , Interinstitutional Relations , Maternal Health Services/standards , Maternal Mortality/trends , Perinatal Mortality/trends , Pregnancy
7.
BMC Public Health ; 18(1): 1299, 2018 Nov 27.
Article in English | MEDLINE | ID: mdl-30482180

ABSTRACT

BACKGROUND: Hand hygiene is a simple and low-cost measure to reduce healthcare associated infection yet it has always been a concern in low as well as high resource settings across the globe. Poor hand hygiene during intra-partum and newborn care may result in sepsis, which is a major cause of death among newborns and puts a financial burden on already strained health systems. METHODS: We conducted non-participatory observations in newborn care units and labour rooms from secondary and tertiary level, public and private hospitals, as part of a baseline evaluation of a quality improvement collaborative across two southern states of India. We assessed hand hygiene compliance during examinations and common procedures, using tools adapted from internationally recommended checklists and World Health Organization's concept of five moments of hand hygiene. We assessed differences in compliance by type (public/private), level (secondary/tertiary) and case load (low/intermediate/high). Analysis was adjusted for clustering and weighted as appropriate. RESULTS: We included 49 newborn care units (19 private, 30 public) and 35 labour rooms (5 private, 30 public) that granted permission. We observed 3661 contacts with newborns and their environment, 242 per-vaginal examinations and 235 deliveries. For the newborns, a greater proportion of contacts in private newborn units than public complied with all steps of hand hygiene (44% vs 12%, p < 0.001), and similarly in tertiary than secondary units (33% vs 12%, p < 0.001) but there was no evidence of a difference by case load of the facility (low load-28%; intermediate load-14%; high load- 24%, p = 0.246). The component with lowest compliance was glove usage where indicated (20%). For deliveries, hand hygiene compliance before delivery was universal in private facilities but seen in only about one-quarter of observations in public facilities (100% vs 27%, p = 0.012). Average overall compliance for hand-hygiene during per-vaginal examinations was 35% and we found no evidence of differences by type of facility. CONCLUSION: Observed compliance with hand hygiene was low overall, although better in private than public facilities in both newborn units and labour rooms. Glove usage was a particular problem in newborn care units. TRIAL REGISTRATION: Retrospectively registered with Clinical Trials Registry- India ( CTRI/2018/04/013014 ).


Subject(s)
Cross Infection/prevention & control , Guideline Adherence/statistics & numerical data , Hand Hygiene , Hospitals , Cross-Sectional Studies , Delivery Rooms , Female , Gloves, Protective/statistics & numerical data , Hospitals/statistics & numerical data , Humans , India , Infant, Newborn , Infection Control/methods , Intensive Care Units, Neonatal , Pregnancy
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