Overview of quality management models for inpatient healthcare settings. A scoping review

Feasibility, Sustainability, and Effectiveness of the Implementation of "Facility-Team-Driven" Approach for Improving the Quality of Newborn Care in South India

OBJECTIVES

The primary objective of the study was to assess the feasibility and sustainability of the implementation of the point of care quality improvement (POCQI) methodology for improving the quality of neonatal care at the level 2 special newborn care unit (SNCU). Additional objective was to evaluate the effectiveness of the quality improvement (QI) and preterm baby package training model.

METHODS

This study was conducted in a level-II SNCU. The study period was divided into baseline; intervention and sustenance phases. The primary outcome i.e., feasibility was defined as completion of training for 80% or more health care professionals (HCPs) through workshops, their attendance in subsequent review meetings and, successful accomplishment of at least two plan-do-study-act (PDSA) cycles in each project.

RESULTS

Of the total, 1217 neonates were enrolled during the 14 mo study period; 80 neonates in the baseline, 1019 in intervention and 118 in sustenance phases. Feasibility of training was achieved within a month of initiation of intervention phase; 22/24 (92%) nurses and 14/15 (93%) doctors attended the meetings. The outcomes of individual projects suggested an improvement in proportion of neonates being given exclusive breast milk on day 5 (22.8% to 78%); mean difference (95% CI) [55.2 (46.5 to 63.9)]. Neonates on any antibiotics declined, proportion of any enteral feeds on day one and duration of kangaroo mother care (KMC) increased. Proportion of neonates receiving intravenous fluids during phototherapy decreased.

CONCLUSIONS

The present study demonstrates the feasibility, sustainability, and effectiveness of a facility-team-driven QI approach augmented with capacity building and post-training supportive supervision.

The potential of prediction models of functioning remains to be fully exploited: A scoping review in the field of spinal cord injury rehabilitation

OBJECTIVE

The study aimed to explore existing prediction models of functioning in spinal cord injury (SCI).

STUDY DESIGN AND SETTING

The databases PubMed, EBSCOhost CINAHL Complete, and IEEE Xplore were searched for relevant literature. The search strategy included published search filters for prediction model and impact studies, index terms and keywords for SCI, and relevant outcome measures able to assess functioning as reflected in the International Classification of Functioning, Disability and Health (ICF). The search was completed in October 2020.

RESULTS

We identified seven prediction model studies reporting twelve prediction models of functioning. The identified prediction models were mainly envisioned to be used for rehabilitation planning, however, also other possible applications were stated. The method predominantly used was regression analysis and the investigated predictors covered mainly the ICF components of body functions and activities and participation, next to characteristics of the health condition and health interventions.

CONCLUSION

Findings suggest that the development of prediction models of functioning for use in clinical practice remains to be fully exploited. By providing a comprehensive overview of what has been done, this review informs future research on prediction models of functioning in SCI and contributes to an efficient use of research evidence.

Aligning implementation science with improvement practice: a call to action

Background

In several recent articles, authors have called for aligning the fields of implementation and improvement science. In this paper, we call for implementation science to also align with improvement practice. Multiple implementation scholars have highlighted the importance of designing implementation strategies to fit the existing culture, infrastructure, and practice of a healthcare system. Worldwide, healthcare systems are adopting improvement models as their primary approach to improving healthcare delivery and outcomes. The prevalence of improvement models raises the question of how implementation scientists might best align their efforts with healthcare systems’ existing improvement infrastructure and practice.

Main body

We describe three challenges and five benefits to aligning implementation science and improvement practice. Challenges include (1) use of different models, terminology, and methods, (2) a focus on generalizable versus local knowledge, and (3) limited evidence in support of the effectiveness of improvement tools and methods. We contend that implementation science needs to move beyond these challenges and work toward greater alignment with improvement practice. Aligning with improvement practice would benefit implementation science by (1) strengthening research/practice partnerships, (2) fostering local ownership of implementation, (3) generating practice-based evidence, (4) developing context-specific implementation strategies, and (5) building practice-level capacity to implement interventions and improve care. Each of these potential benefits is illustrated in a case study from the Centers for Disease Control and Prevention’s Cancer Prevention and Control Research Network.

Conclusion

To effectively integrate evidence-based interventions into routine practice, implementation scientists need to align their efforts with the improvement culture and practice that is driving change within healthcare systems worldwide. This paper provides concrete examples of how researchers have aligned implementation science with improvement practice across five implementation projects.

Supplementary Information

The online version contains supplementary material available at 10.1186/s43058-021-00201-1.

Development of a framework of intervention strategies for point of care quality improvement at different levels of healthcare delivery system in India: initial lessons

BACKGROUND

Inadequate quality of care has been identified as one of the most significant challenges to achieving universal health coverage in low-income and middle-income countries. To address this WHO-SEARO, the point of care quality improvement (POCQI) method has been developed. This paper describes developing a dynamic framework for the implementation of POCQI across India from 2015 to 2020.

METHODS

A total of 10 intervention strategies were designed as per the needs of the local health settings. These strategies were implemented across 10 states of India, using a modification of the 'translating research in practice' framework. Healthcare professionals and administrators were trained in POCQI using a combination of onsite and online training methods followed by coaching and mentoring support. The implementation strategy changed to a fully digital community of practice platform during the active phase of the COVID-19 pandemic. Dashboard process, outcome indicators and crude cost of implementation were collected and analysed across the implementation sites.

RESULTS

Three implementation frameworks were evolved over the study period. The combined population benefitting from these interventions was 103 million. A pool of QI teams from 131 facilities successfully undertook 165 QI projects supported by a pool of 240 mentors over the study period. A total of 21 QI resources and 6 publications in peer-reviewed journals were also developed. The average cost of implementing POCQI initiatives for a target population of one million was US$ 3219. A total of 100 online activities were conducted over 6 months by the digital community of practice. The framework has recently extended digitally across the South-East Asian region.

CONCLUSION

The development of an implementation framework for POCQI is an essential requirement for the initiative's successful country-wide scale. The implementation plan should be flexible to the healthcare system's needs, target population and the implementing agency's capacity and amenable to multiple iterative changes.

The applicability of COBIT processes representation structure for quality improvement in healthcare: a Delphi study

OBJECTIVES

In healthcare, a variety of quality management practices are used. Although they are important sources for quality improvement initiatives, they do not focus on each particular process. On the other hand, 'Control Objectives for Information and Related Technologies' (COBIT) offers a well-defined process representation structure for representing potential process improvements. The objective of this study was to adopt the COBIT structure for healthcare processes and assess the applicability of such process representations.

DESIGN

A two-round Delphi technique was applied: in round 1, open-ended interviews were performed with the participants; in round 2, the participants responded to the web questionnaire.

SETTINGS

The participants provided their opinion between 11 September 2018 and 26 June 2019.

PARTICIPANTS

It included 37 members of an expert panel from 8 European countries.

INTERVENTION

N/A.

MAIN OUTCOME MEASURES

In round 1, strengths, weaknesses, opportunities and threats indicators of using the proposed structure in healthcare were identified. These were evaluated on a 9-point Likert scale in round 2.

RESULTS

All participants noted that elements of the COBIT process representation structure were suitable for representing healthcare processes. The consensus was reached only for strengths and opportunities indicators.

CONCLUSIONS

A set of processes represented with the suggested structure has the potential to become a valid reference in healthcare quality improvements initiatives, as COBIT in IT domain. Despite the fact that the expert panel members confirmed the applicability of the COBIT process representation structure for healthcare processes, the identified weaknesses and threats cannot be ignored.

Contextual factors favouring success in the accreditation process in Colombian hospitals: a nationwide observational study

Background

To identify context factors associated with and predicting success in the hospital accreditation process, and to contribute to the understanding of the relative relevance of context factors and their organizational level in the success of QI initiatives.

Methods

Analytical study of cases and controls in a sample of hospitals of medium and high complexity in Colombia. Cases (n = 16) are accredited hospitals by the time of preparation of the study (2016) and controls (n = 38) are similar facilities, which have not succeeded to obtain accreditation. Eligibility criteria for both groups included complexity (medium and high), having emergency services, an official quality assurance license, and being in operation for at least 15 years. Besides eligibility criteria, geographical location, and type of ownership (public/private) are used to select controls to match cases.

Context measures are assessed using a survey instrument based on the MUSIQ model (“Model for Understanding Success in Quality”) adapted and tested in Colombia. Statistical analysis includes descriptive measures for twenty-three context factors, testing for significant statistical differences between accredited and non-accredited hospitals, and assessing the influence and strength of association of context factors on the probability of success in the accreditation process. A multivariate model assesses the predictive probability of achieving accreditation.

Results

Eighteen (78.3%) of the twenty-three context factors are significantly different when comparing cases and controls hospitals, particularly at the Microsystem level; all factors are statistically significant in favor of accredited hospitals. Five context factors are strongly associated to the achievement of accreditation but in the logistic multivariable model, only two of them remain with significant OR, one in the Macrosystem, “Availability of economic resources for QI” (OR: 22.1, p: 0,005), and the other in the Microsystem, “Involvement of physicians” (OR: 4.9, p: 0,04).

Conclusion

This study has applied an instrument, based on the MUSIQ model, which allows assessing the relevance of different context factors and their organizational level in hospitals, to explain success in the accreditation process in Colombia. Internal macrosystem and microsystem seem to be more relevant than external environment factors.