Quality improvement collaborative for improving patient care delivery in Argentine public health sector intensive care units.

BACKGROUND: The demand for healthcare services during the COVID-19 pandemic was excessive for less-resourced settings, with intensive care units (ICUs) taking the heaviest toll. OBJECTIVE: The aim was to achieve adequate personal protective equipment (PPE) use in 90% of patient encounters, to reach 90% compliance with objectives of patient flow (OPF) and to provide emotional support tools to 90% of healthcare workers (HCWs). METHODS: We conducted a quasi-experimental study with an interrupted time-series design in 14 ICUs in Argentina. We randomly selected adult critically ill patients admitted from July 2020 to July 2021 and active HCWs in the same period. We implemented a quality improvement collaborative (QIC) with a baseline phase (BP) and an intervention phase (IP). The QIC included learning sessions, periods of action and improvement cycles (plan-do-study-act) virtually coached by experts via platform web-based activities. The main study outcomes encompassed the following elements: proper utilisation of PPE, compliance with nine specific OPF using daily goal sheets through direct observations and utilisation of a web-based tool for tracking emotional well-being among HCWs. RESULTS: We collected 7341 observations of PPE use (977 in BP and 6364 in IP) with an improvement in adequate use from 58.4% to 71.9% (RR 1.2, 95% CI 1.17 to 1.29, p<0.001). We observed 7428 patient encounters to evaluate compliance with 9 OPF (879 in BP and 6549 in IP) with an improvement in compliance from 53.9% to 67% (RR 1.24, 95% CI 1.17 to 1.32, p<0.001). The results showed that HCWs did not use the support tool for self-mental health evaluation as much as expected. CONCLUSION: A QIC was effective in improving healthcare processes and adequate PPE use, even in the context of a pandemic, indicating the possibility of expanding QIC networks nationwide to improve overall healthcare delivery. The limited reception of emotional support tools requires further analyses.

Crowdsourcing a diagnosis? Exploring the accuracy of the size and type of group diagnosis: an experimental study.

BACKGROUND: The consultation process, where a clinician seeks an opinion from another clinician, is foundational in medicine. However, the effectiveness of group diagnosis has not been studied. OBJECTIVE: To compare individual diagnosis to group diagnosis on two dimensions: group size (n=3 or 6) and group process (interactive or artificial groups). METHODOLOGY: Thirty-six internal or emergency medicine residents participated in the study. Initially, each resident worked through four written cases on their own, providing a primary diagnosis and a differential diagnosis. Next, participants formed into groups of three. Using a videoconferencing platform, they worked through four additional cases, collectively providing a single primary diagnosis and differential diagnosis. The process was repeated using a group of six with four new cases. Cases were all counterbalanced. Retrospectively, nominal (ie, artificial) groups were formed by aggregating individual participant data into subgroups of three and six and analytically computing scores. Presence of the correct diagnosis as primary diagnosis or included in the differential diagnosis, as well as the number of diagnoses mentioned, was calculated for all conditions. Means were compared using analysis of variance. RESULTS: For both authentic and nominal groups, the diagnostic accuracy of group diagnosis was superior to individual for both the primary diagnosis and differential diagnosis. However, there was no improvement in diagnostic accuracy when comparing a group of three to a group of six. Interactive and nominal groups were equivalent; however, this may be an artefact of the method used to combine data. CONCLUSIONS: Group diagnosis improves diagnostic accuracy. However, a larger group is not necessarily superior to a smaller group. In this study, interactive group discussion does not result in improved diagnostic accuracy.

Virtual quality improvement collaborative with primary care practices during COVID-19: a case study within a clinically integrated network.

INTRODUCTION: Quality improvement collaboratives (QICs) are a common approach to facilitate practice change and improve care delivery. Attention to QIC implementation processes and outcomes can inform best practices for designing and delivering collaborative content. In partnership with a clinically integrated network, we evaluated implementation outcomes for a virtual QIC with independent primary care practices delivered during COVID-19. METHODS: We conducted a longitudinal case study evaluation of a virtual QIC in which practices participated in bimonthly online meetings and monthly tailored QI coaching sessions from July 2020 to June 2021. Implementation outcomes included: (1) level of engagement (meeting attendance and poll questions), (2) QI capacity (assessments completed by QI coaches), (3) use of QI tools (plan-do-check-act (PDCA) cycles started and completed) and (4) participant perceptions of acceptability (interviews and surveys). RESULTS: Seven clinics from five primary care practices participated in the virtual QIC. Of the seven sites, five were community health centres, three were in rural counties and clinic size ranged from 1 to 7 physicians. For engagement, all practices had at least one member attend all online QIC meetings and most (9/11 (82%)) poll respondents reported meeting with their QI coach at least once per month. For QI capacity, practice-level scores showed improvements in foundational, intermediate and advanced QI work. For QI tools used, 26 PDCA cycles were initiated with 9 completed. Most (10/11 (91%)) survey respondents were satisfied with their virtual QIC experience. Twelve interviews revealed additional themes such as challenges in obtaining real-time data and working with multiple electronic medical record systems. DISCUSSION: A virtual QIC conducted with independent primary care practices during COVID-19 resulted in high participation and satisfaction. QI capacity and use of QI tools increased over 1 year. These implementation outcomes suggest that virtual QICs may be an attractive alternative to engage independent practices in QI work.

Quality of locally designed surveys in a quality improvement collaborative: review of survey validity and identification of common errors.

OBJECTIVE: Surveys are a commonly used tool in quality improvement (QI) projects, but little is known about the standards to which they are designed and applied. We aimed to investigate the quality of surveys used within a QI collaborative, and to characterise the common errors made in survey design. METHODS: Five reviewers (two research methodology and QI, three clinical and QI experts) independently assessed 20 surveys, comprising 250 survey items, that were developed in a North American cystic fibrosis lung transplant transition collaborative. Content Validity Index (CVI) scores were calculated for each survey. Reviewer consensus discussions decided an overall quality assessment for each survey and survey item (analysed using descriptive statistics) and explored the rationale for scoring (using qualitative thematic analysis). RESULTS: 3/20 surveys scored as high quality (CVI >80%). 19% (n=47) of survey items were recommended by the reviewers, with 35% (n=87) requiring improvements, and 46% (n=116) not recommended. Quality assessment criteria were agreed upon. Types of common errors identified included the ethics and appropriateness of questions and survey format; usefulness of survey items to inform learning or lead to action, and methodological issues with survey questions, survey response options; and overall survey design. CONCLUSION: Survey development is a task that requires careful consideration, time and expertise. QI teams should consider whether a survey is the most appropriate form for capturing information during the improvement process. There is a need to educate and support QI teams to adhere to good practice and avoid common errors, thereby increasing the value of surveys for evaluation and QI. The methodology, quality assessment criteria and common errors described in this paper can provide a useful resource for this purpose.

The Irish national chronic obstructive pulmonary disease quality improvement collaborative: an adaptive learning collaborative.

BACKGROUND: Chronic obstructive pulmonary disease (COPD) is the the most common disease-specific cause of adult emergency hospital admissions in Ireland. Preliminary groundwork indicated that treatment of acute exacerbations of COPD (AECOPD) in Ireland is not standardised between public hospitals. Applying Institute for Healthcare Improvement Breakthrough Series and Model for Improvement methodologies, Royal College of Physicians of Ireland designed and conducted a novel flexible and adaptive quality improvement (QI) collaborative which, using embedded evaluation, aimed to deliver QI teaching to enable teams to implement bespoke, locally applicable changes to improve and standardise acute COPD care at presentation, admission and discharge stages within their hospitals. METHODS: Eighteen teams from 19 hospitals across Ireland participated over 13 months. QI teaching was facilitated through inperson learning sessions, site visits, programme manager and coaching support. Teams submitted monthly anonymised patient data (n=10) for 22 measures of AECOPD care for ongoing QI evaluation. A mixed-methods survey was administered at the final learning session to retrospectively evaluate participants' experiences of QI learning and patient care changes. RESULTS: Participants reported that they learnt QI and improved patient care during the collaborative. Barriers included increased workload and lack of stakeholder buy-in. Statistically significant improvements (mean±SD) were seen for 'documented dyspnoea, eosinopenia, consolidation, acidaemia and atrial Fibrillation (DECAF) assessment' (7.3 (±14.4)% month(M)1 (n=15 sites); 49.6 (±37.7)% M13 (n=16 sites); p<0.001, 95% CI (14.3 to 66.7)), 'Documented diagnosis - spirometry' (42.5 (± 30.0)% M1 (n=16 sites); 69.1 (±29.9)% M13 (n=16 sites); p=0.0176, 95% CI 5.0 to 48.2) and 'inhaler technique review completed' (45.6 (± 34.1)% M1 (n=16 sites); 76.3 (±33.7)% M13 (n=16 sites); p=0.0131, 95% CI 10.0 to 65.0). 'First respiratory review' demonstrated improved standardisation. CONCLUSION: This flexible QI collaborative provided adaptive collaborative learning that facilitated participating teams to improve AECOPD patient care based on the unique context of their own hospitals. Findings indicate that involvement in the QI collaborative facilitated teams in achieving their improvements.

Racial and ethnic disparities in common inpatient safety outcomes in a children's hospital cohort.

BACKGROUND: Emerging evidence has shown racial and ethnic disparities in rates of harm for hospitalised children. Previous work has also demonstrated how highly heterogeneous approaches to collection of race and ethnicity data pose challenges to population-level analyses. This work aims to both create an approach to aggregating safety data from multiple hospitals by race and ethnicity and apply the approach to the examination of potential disparities in high-frequency harm conditions. METHODS: In this cross-sectional, multicentre study, a cohort of hospitals from the Solutions for Patient Safety network with varying race and ethnicity data collection systems submitted validated central line-associated bloodstream infection (CLABSI) and unplanned extubation (UE) data stratified by patient race and ethnicity categories. Data were submitted using a crosswalk created by the study team that reconciled varying approaches to race and ethnicity data collection by participating hospitals. Harm rates for race and ethnicity categories were compared with reference values reflective of the cohort and broader children's hospital population. RESULTS: Racial and ethnic disparities were identified in both harm types. Multiracial Hispanic, Combined Hispanic and Native Hawaiian or other Pacific Islander patients had CLABSI rates of 2.6-3.6 SD above reference values. For Black or African American patients, UE rates were 3.2-4.4 SD higher. Rates of both events in White patients were significantly lower than reference values. CONCLUSIONS: The combination of harm data across hospitals with varying race and ethnicity collection systems was accomplished through iterative development of a race and ethnicity category framework. We identified racial and ethnic disparities in CLABSI and UE that can be addressed in future improvement work by identifying and modifying care delivery factors that contribute to safety disparities.

Improved recognition of lung function decline as signal of cystic fibrosis pulmonary exacerbation: a Cystic Fibrosis Learning Network Innovation Laboratory quality improvement initiative.

INTRODUCTION: Cystic fibrosis (CF) is a systemic autosomal recessive condition characterised by progressive lung disease. CF pulmonary exacerbations (PEx) are episodes of worsening respiratory status, and frequent PEx are a risk factor for accelerated lung function decline, yet many people with CF (PwCF) go untreated at the time of decline. The goal of this quality improvement (QI) initiative was to improve recognition, treatment and follow-up of PEx in PwCF. METHODS: Using the Model for Improvement, the Cystic Fibrosis Learning Network (CFLN) initiated a QI innovation laboratory (iLab) with a global aim to decrease the rate of lung function decline in PwCF. The iLab standardised definitions for signals of PEx using a threshold for decline in forced expiratory volume in one second (FEV1) and/or changes in symptoms. The FEV1 decline signal was termed FIES (FEV1-indicated exacerbation signal). Processes for screening and recognition of FIES and/or symptom changes, a treatment algorithm and follow-up in the presence of a signal were tested concurrently in multiple settings. SPECIFIC AIMS: The specific aim is to increase the per cent of PwCF assessed for a PEx signal at ambulatory encounters and to increase the per cent of recommendations to follow-up within 6 weeks for PwCF experiencing a PEx signal. RESULTS: FIES recognition increased from 18.6% to 73.4% across all teams during the iLab, and every team showed an improvement. Of PwCF assessed, 15.8% experienced an FIES event (>10% decline in FEV1 per cent predicted (FEV1pp)). Follow-up within 6 weeks was recommended for an average of 70.5% of those assessed for FIES and had an FEV1pp decline greater than 5%. CONCLUSION: The CFLN iLab successfully defined and implemented a process to recognise and follow-up PEx signals. This process has the potential to be spread to the larger CF community. Further studies are needed to assess the impact of these processes on PwCF outcomes.

Sustaining extended Kangaroo mother care in stable low birthweight babies in NICU: a quality improvement collaborative of six centres of Karnataka.

BACKGROUND: Kangaroo mother care (KMC) is a proven intervention for intact survival in preterms. Despite evidence, its adoption has been low. We used a point of care quality improvement (QI) approach to implement and sustain KMC in stable low birthweight babies from a baseline of 1.5 hours/baby/day to above 4 hours/baby/day through a series of plan-do-study-act (PDSA) cycles over a period of 53 weeks. METHODS: All babies with birth weight <2000 g not on any respiratory support or phototherapy and or umbilical lines were eligible. The key quantitative outcome was KMC hours/baby/day. A QI collaborative was formed between six centres of Karnataka mentored by a team with a previous QI experience on KMC. The potential barriers for extended KMC were evaluated using fishbone analysis. Baseline data were collected over 3 weeks. A bundled approach consisting of a variety of parent centric measures (such as staff awareness, making KMC an integral part of treatment order, foster KMC, awareness sessions to parents weekly, recognising KMC champions) was employed in multiple PDSA cycles. The data were aggregated biweekly and the teams shared their implementation experiences monthly. RESULTS: A total of 1443 parent-baby dyads were enrolled. The majority barriers were similar across the centres. Bundled approach incorporating foster KMC helped in the quick implementation of KMC even in outborns. Parental involvement and empowering nurses helped in sustaining KMC. Two centres had KMC rates above 10 hours/baby/day, while remaining four centres had KMC rates sustained above 6 hours/baby/day. Cross-learnings from team meetings helped to sustain efforts. Extended KMC could be implemented and sustained by low intensity training and QI collaboration. CONCLUSIONS: Formation of a QI collaborative with mentoring helped in scaling implementation of extended KMC. Extended KMC could be implemented by parent centric best practices in all the centres without any additional need of resources.

Creating and sustaining a digital community of practice for quality improvement in South-East Asia during the COVID-19 pandemic.

INTRODUCTION: Ensuring quality of care in Low and Middle Income countries (LMICs) is challenging. Despite the implementation of various quality improvement (QI) initiatives in public and private sectors, the sustenance of improvements continues to be a major challenge. A team of healthcare professionals in India developed a digital community of practice (dCoP) focusing on QI which now has global footprints. METHODOLOGY: The dCoP was conceptualised as a multitiered structure and is operational online at www.nqocncop.org from August 2020 onwards. The platform hosts various activities related to the quality of care, including the development of new products, and involves different cadres of healthcare professionals from primary to tertiary care settings. The platform uses tracking indicators, including the cost of sustaining the dCoP to monitor the performance of the dCoP. RESULT: Since its launch in 2020, dCoP has conducted over 130 activities using 13 tools with 25 940 registration and 13 681 participants. From April 2021, it has expanded to countries across the South-East Asia region and currently has participants from 53 countries across five continents. It has developed 20 products in four thematic areas for a targeted audience. dCoP is supporting mentoring of healthcare professionals from five countries in the South-East Asia region in their improvement journey. Acquiring new knowledge and improvement in their daily clinical practice has been reported by 93% and 80% of participants, respectively. The dCoP and its partners have facilitated the publication of nearly 40 articles in international journals. CONCLUSION: This dCoP platform has become a repository of knowledge for healthcare professionals in the South-East Asia region. The current paper summarises the journey of this innovative dCoP in an LMIC setting for a wider global audience.

Use of collaborative learning approach for increased cure rate among children aged 6-59 months with severe wasting in Karamoja, Uganda.

BACKGROUND: At 10%, Karamoja region has the highest rate of child wasting in Uganda. The region has 126 outpatient therapeutic care (OTC) sites for managing children with severe acute malnutrition. LOCAL PROBLEM: Cure rate (CR) in OTC in Karamoja remains below the international standard of over 75%. The study aimed at increasing the CR in 10 OTC sites in Karamoja, from 74.1% to >75% in 13 months. METHODS: The study commenced in July 2018, up to September 2019, in purposively selected health facilities in six districts in Karamoja. Quality improvement (QI) methods per the Ministry of Health QI Framework were applied. QI teams (QITs) tracked the outcome of the tested changes for 13 months. χ2 tests were used to assess the intrafacility and interdistrict association in CR. INTERVENTION: Institute for Health Improvement (IHI) (2003) improvement model was applied in this collaborative. QITs conducted root cause analysis of CR gaps, which guided them in the development of improvement aims, changes and indicators. QITs used plan-do-study-act cycles to test and adopt the feasible changes. RESULTS: CR increased from 74.1% to 78.6%, with an overall average of 80% within 13 months. Abim district had the highest CR (83.3%) and Kaabong district the lowest (75.2%). Health centre II (84.0%) had the highest CR. Assigning village health teams to follow up caregivers of children in OTC with missed appointments, allocation of village health teams and local leaders to monitor the administration of ready-to-use therapeutic food to children, and screening and treating comorbidities among children in OTC increased CR. CONCLUSIONS: QI methods focusing on collaborative learning increased CR among children in OTC in Karamoja. Sustaining the gains requires district health offices, partners and health facility management's commitment to institutionalise the QI collaborative learning approaches.

Implementation and outcomes of a system-wide women's health 'team goal' to reduce maternal morbidity for black women: a prospective quality improvement study.

OBJECTIVE: In response to the unacceptable racial disparities in US obstetric outcomes, our health system established a formal goal to reduce maternal morbidity for black women. Here, we describe our process for meeting this equity-focused goal in the context of diverse implementation climates at 5 inpatient sites. STUDY DESIGN: To meet the system goal, we established a collaborative of multidisciplinary, site-based teams. The validated 18-question Implementation Climate Scale (ICS) was distributed to site clinicians at baseline. Sites focused on haemorrhage, performing case reviews of black women meeting morbidity criteria. Comparing cases by site, site-specific areas for improvement in haemorrhage risk assessment, prevention and management emerged. Evidence-based practices (EBPs) were then selected, tailored and implemented by site. Monthly system-wide team meetings included (1) metric tracking and (2) site presentations with discussions around barriers/facilitators to EBP implementation. Maternal morbidity rates among black women were compared the year before goal development (1 July 2019-30 June 2020) to the year after (1 July 2020-30 June 2021). RESULTS: Mean ICS scores for inpatient obstetric units differed by site (p=0.005), with climates more supportive of implementation at urban/academic hospitals. In response to case reviews, sites reported implementing 2 to 8 EBPs to meet the goal. Despite different ICS scores, this process was associated with significant reductions in maternal morbidity for black women from pregoal to postgoal development overall and at sites 1, 2 and 3, with non-statistically significant reductions at sites 4 and 5 (overall: -29.4% reduction, p<0.001). CONCLUSIONS: A health system goal of reducing maternal morbidity for black women led to a data-driven, collaborative model for implementing site-tailored interventions. If health systems prioritise equity-focused goals, sites can be supported in implementing EBPs that improve care.

Using virtual wards and long-term conditions management network to improve practice and performance.

England has more than 15 million people and counting with long-term conditions who have the greatest healthcare needs of the population accounting for 50% of all General Practitioner (GP) appointments and 70% of all bed days. Digital technology has the potential to transform care through empowering patients, establishing more robust therapeutic relationships as well as supporting stronger teamworking across boundaries and enabling creation of communities and networks to support patients.There is some hesitancy in National Health Service to adopt digital innovation, but the pandemic has transformed use of remote monitoring in a matter of weeks. The pandemic has highlighted how collaboration and digital technology innovation can radically transform health and care services at pace when people are provided with the space and support to be innovative. Nurse and clinical leaders with digital knowledge are key in engaging nurses who need to be at the heart of technological developments and implementation to make sure changes facilitate, enhance patient care and improve clinical practice. This project aimed to create a forum that offered time, space and opportunities to innovate; share learning; and develop cross boundary relationships for project teams implementing technology-enabled remote monitoring or virtual ward solutions.Florence Nightingale Foundation scholar and NHSX Digital Health team ran the forum using community of practice principles. Qualitative data were used to measure any potential value created. Forum members reported increase in their personal knowledge as they managed to learn from others. An online platform created as an extension to the forum enabled members to continue networking and access resources. The forum provided space for relationships to get stronger. This enabled innovation that changed practice and performance around increased uptake of tech-enabled remote monitoring solutions by patients as well as indirect health outcomes. Further work is required to collate quantitative data to confirm these claims from the forum members.

NEPHwork: creating a quality improvement and research network for UK renal trainees.

NEPHwork was established in 2020 as a renal specialty trainee-driven national quality improvement and research network with the aim of coupling the benefits of trainee-led collaboration with the rich data collection infrastructure established by the UK renal registry. NEPHwork was established to support the development, coordination and delivery of audit and research projects by renal trainees on a national scale. The first collaborative project centred on the compliance with care quality standards in managing acute kidney injury. The project enabled a large amount of data to be collected over a relatively short period of time and allowed comparison between renal units involved in contributing to the data. The initiation of the NEPHwork collaboration had to overcome delays and service pressure related to the COVID-19 pandemic. Furthermore, the method of linkage analysis used in the data collection and lack of cohesion with regional information technology (IT) services prevented trainees from certain regions from contributing to the project and this is a key priority for the next NEPHwork collaboration.

Improving viral load utilisation to enhance care for Kenyan adolescents with HIV.

Improving the use of viral load (VL) testing for adolescents and young people living with HIV (AYPLWH) is a priority for Kenya's Ministry of Health (MOH). Despite expansion of VL testing coverage and rollout of national policies, guidelines and training, VL result utilisation for AYPLWH remains suboptimal, with inadequate adherence to national guidelines recommending everyone on antiretroviral therapy (ART) with unsuppressed viral load (UVL) (≥401 copies/mL) receive three enhanced adherence counselling (EAC) sessions and a repeat VL test within 3 months. In March 2019, ICAP at Columbia University partnered with the MOH to launch a Quality Improvement Collaborative (QIC) at 22 health facilities in the Eastern Province to optimise management of AYPLWH on ART with UVL. Over 17 months, facility QI teams tested interventions targeting client education, workflow modifications, commodity management, community engagement and improved documentation. The QIC led to marked improvement in the proportion of clients completing three EAC sessions and repeat VL testing. Median completion rate was 16% (n=479) at baseline (from March 2018 to February 2019) and rose to 73% (n=755) during the implementation period (from March 2019 to July 2020). In the final month (July 2020), rates rose to 90% (n=31). Another success was the increase in the proportion of clients whose VL was resuppressed on repeat testing, which improved from 34% (n=273) at baseline to 62% (n=710) during the implementation period and 77% (n=44) in the final month. The QIC also led to improvement in the proportion of AYPLWH on first-line ART whose regimens were switched within 2 months of recorded UVL results, which rose from 58% (n=48) at baseline to 94% (n=128) during the implementation period. In summary, the QIC helped facility teams to identify and prioritise local, contextually appropriate innovations which led to swift improvement in three critical indicators of VL utilisation.

Resident integration with inpatient clinical documentation improvement: a quality improvement project.

BACKGROUND: Clinical documentation improvement (CDI) is an increasing part of health system quality and patient care with clinical documentation integrity specialists (CDIS) expanding into daily physician workflow. This integration can be especially challenging for resident teams due to increased team size, lack of documentation experience, and misunderstanding of both CDIS and CDI purpose. PROBLEM: The University of Kansas Health System Internal Medicine residency programme reported challenges with CDIS and resident workflow integration specifically in navigating and understanding CDIS documentation queries, CDIS interruption of interdisciplinary huddles, and general misunderstanding of CDI and the role of CDIS. METHODS: A quality improvement project was undertaken to integrate CDIS more effectively into resident workflow. Combined with a resident debrief session to identify general areas of concern, surveys were administered to internal medicine residents, resident rounding faculty and CDIS team members to identify specific barriers to CDIS-physician integration. INTERVENTION: A collective group of CDIS member teams, internal medicine chief residents and faculty physicians was formed. Changes made to the CDI process based on survey feedback included (1) improving formatting of CDIS electronic query templates, (2) standardisation of timing for CDIS verbal queries during interdisciplinary huddles, and (3) development of a resident didactic session focused on the role of CDIS and documentation's impact on quality, safety and outcomes as related to the hospital, provider and patient. RESULTS: Surveys completed after implementation showed a positive impact on electronic query template changes and perception of CDIS at interdisciplinary huddles. The didactic curriculum was effective in helping residents understand the role and limitations of CDIS and how documentation affects quality of care. CONCLUSION: CDIS-physician integration into resident teams can occur through a collaborative focus on specific aspects of physician workflow and improving understanding of the impact of CDI on patient safety and quality of care.

The role of quality improvement collaboratives in general practice: a qualitative systematic review.

BACKGROUND: This systematic review used qualitative methodologies to examine the role of quality improvement collaboratives (QICs) in general practice. The aim was to inform implementers and participants about the utility of using or participating in QICs in general practice. METHODS: Included studies were published in English, used a QIC intervention, reported primary research, used qualitative or mixed methods, and were conducted in general practice.A Medline search between January 1995 and February 2020 was developed and extended to include Embase, CINAHL and PsycInfo databases. Articles were sought through chaining of references and grey literature searches.Qualitative outcome data were extracted using a framework analysis. Data were analysed using thematic synthesis. Articles were assessed for quality using a threshold approach based on the criteria described by Dixon-Woods. RESULTS: 15 qualitative and 18 mixed-methods studies of QICs in general practice were included. Data were grouped into four analytical themes which describe the role of a collaborative in general practice: improving the target topic, developing practices and providers, developing the health system and building quality improvement capacity. DISCUSSION: General practice collaboratives are reported to be useful for improving target topics. They can also develop knowledge and motivation in providers, build systems and team work in local practice organisations, and improve support at a system level. Collaboratives can build quality improvement capacity in the primary care system. These roles suggest that QICs are well matched to the improvement needs of general practice.General practice participants in collaboratives reported positive effects from effective peer interaction, high-quality local support, real engagement with data and well-designed training in quality improvement.Strengths of this study were an inclusive search and explicit qualitative methodology. It is possible some studies were missed. Qualitative studies of collaboratives may be affected by selection bias and confirmation bias. PROSPERO REGISTRATION NUMBER: CRD4202017512.

Evaluation of a learning collaborative to advance team-based care in Federally Qualified Health Centers.

Practising team-based primary care allows Federally Qualified Health Centers (FQHC) in the USA to be accredited as patient-centred medical homes, positioning them for value-based models of shared savings in healthcare costs. Team-based care (TBC) involves redesign of staff roles and care delivery processes to improve efficiency and effectiveness, which requires a systematic and supportive approach to practice change over time. Thirteen FQHC primary care teams participated in an 8-month learning collaborative with a goal of providing teams with the knowledge, skills and coaching support needed to advance TBC in their organisations. The primary aim was to evaluate self-reported changes in FQHC teams' assessment of their practice relative to key concepts of TBC. The secondary aim was to evaluate how teams used the collaborative to develop new skills to advance TBC, and the implementation, service and patient outcomes they achieved. Site visits were conducted with three teams 6 months postcollaborative. Results: Two teams withdrew. The remaining teams embarked on 15 TBC improvement initiatives. Nine teams submitted a total of 11 playbooks to guide other staff in changes to their practice. Three teams reported improved efficiencies at the service level (screening and scheduling), and one improved outcomes in patients with diabetes. The nine teams that completed precollaborative and postcollaborative self-assessments reported improvements in their practice and in coach and team skills. Site visits revealed that actionable data were a barrier to improvement, coaching support from the collaborative was highly valued and FQHC leadership support was critical to improvement. Leadership investment in developing their primary care teams' quality improvement, coaching and data analytical skills can advance TBC in their organisations.

A quality improvement collaborative to build improvement capacity in regional primary care support organisations.

Strong primary care is foundational for effective, efficient health systems but remains variable in health systems around the world. Increasing quality improvement capacity in primary care support organisations has potential to improve primary care and health systems. This project worked with staff from primary healthcare support organisations with the aim of improving by 20% the confidence and competence scores of participants seeking to implement a quality improvement activity. The Breakthrough Collaborative approach was used to design a programme of learning workshops, action periods, data feedback and local support. Improvement measures included confidence in quality improvement (self-rated) and competence in quality improvement (using the validated Quality Improvement Knowledge Assessment Tool). Participants were required to submit quality improvement plans and run local quality improvement projects. The programme was run three times with improvements made between each cycle. Overall, 50 teams consisting of 173 regional staff took part. They engaged a total of 341 front-line primary care services such as general practices, Aboriginal medical services and pharmacies. In the first cycle, there was no improvement in measured regional staff knowledge and skills. In response, the learning workshops were changed to increase didactic teaching and supported practice of fundamental quality improvement skills. Regional organisational leaders were consulted to decrease the turnover in participants during each collaborative cycle. In the final cohort, a 38% improvement in knowledge and skills was recorded. All teams submitted quality improvement plans and ran local workshops indicating good engagement. This programme addresses a key need for health systems that is shared around the world: the improvement of primary care. It demonstrates using the Breakthrough Collaborative methodology to increase quality improvement capacity in the sector. After initial challenges, repeated cycles recorded greater than 30% improvement in the measured competence of participants in quality improvement activities.