Green supply chain management practices and triple bottom line performance: Insights from an emerging economy with a mediating and moderating model.

The current study explores the dynamics of business practices in Pakistan's Small and Medium Enterprises (SMEs). This research focusing on how "green supply chain management" (GSCM), Industry 4.0 technologies (IND), total quality management (TQM) and sustainable performance (SP) are interconnected. The study collected data from 382 SMEs owners and managers and data analysis was conducted utilizing by SPSS and SmartPLS. The results indicate that employ GSCM pattern has constructive impact on SMEs overall performance in terms of their social and financial aspects. Interestingly IND act as intermediaries among GSCM and sustainable performance underscoring their potential to translate sustainability efforts into outcomes. Moreover, our survey reveals that TQM have a crucial function in enriching the relationship between Industry 4.0 technologies and sustainable performance by executing as a moderator. It further highlighting the value of adopting a quality focused approach to maximize the causal factor of advancements on sustainability output. The findings of this survey research offering insights for practitioners, SMEs, and policy makers alike by highlighting the significance of integrating practices such as GSCM, IND and effective quality management to enhance SME efficiency. These outcomes further contribute to an understanding of the mechanics at play, within SMEs while offering guidance for organizations maneuvering the changing landscape of sustainable business practices and IND.

[Securing the implantable medical device circuit]. / Arrêté du 8 septembre 2021 : sécurisation du circuit des dispositifs médicaux implantables.

OBJECTIVES: The decree concerning quality management of implantable medical device circuits came into force in healthcare establishments on 26 May 2022. The aim of this project is to assess the level of safety of this circuit within the pharmacy, in order to improve it and bring it into line with this future regulation. METHODS: A grid for compliance with the decree was drawn up, enabling compliance rates to be calculated. A second grid was drawn up in accordance with internal procedures. All these criteria were audited in pairs. Priority areas for improvement were identified and working groups were formed. The action plan was monitored by the Steering Committee. Control audits ensure the implementation and relevance of the action plan, as well as the effective securing of the circuit. RESULTS: The rate of circuit compliance with the decree rose from 58% (initial audits) to 72% (control audits). Over a period of 18 months, six workgroups were set to implement improvement measures allowing to ensure regulatory compliance and circuit security. Obstacles (equipment, IT) nevertheless hindered the presence of the unique identifier for medical devices at every stages of the circuit. CONCLUSIONS: This cross-functional project was carried out in "project mode", thanks to the involvement of field staff. It will be pursued at hospital level by the person in charge of the quality management system.

Method comparison between Alinity hq and Sysmex XT-4000i in an emergency laboratory.

Due to technological advancements, haematology analysers are becoming increasingly more complex. Before introducing new analyzers, laboratories must compare the agreement between the new and the old instruments. This study aimed to quantify the method agreement between Sysmex XT-4000i and Alinity hq analysers in order to establish whether they can be used interchangeably. A total of 415 complete blood counts (CBC) from adult patients of the Emergency Clinical County Hospital of Târgu Mureș, Romania, were analysed within 4 h from the collection on Sysmex XT-4000i (considered the reference method), then on Alinity hq. Statistical analysis consisted of outlier removal, Spearman Correlation, Bland-Altman test, and Passing-Bablok regression. For each CBC parameter, the analytical difference between methods was compared with the Reference Change Value (RCV) at medical decision levels (MDL). Despite using different technologies, the instruments have a good agreement regarding cell differentiation and counting. Cell counting and haemoglobin measurement showed a good agreement at all (Medical Decision Limits) MDLs. The analytical difference between methods surpassed the (Reference Change Value) RCV with 1.2% at the 14% MDL of HCT and with 0.2% at the 100 fL MDL of MCV. This study can not tell whether Sysmex or Alinity is superior, only if the two methods agree. The poorer agreement observed for RBC indices, especially MCHC, suggests an accumulation of differences caused by the different working principles of the two methods. However, it is reasonable to assume that such small differences will not affect clinical decision-making and patient outcome.

Indicators and predictors modifiable by the nursing department during the preoperative period: A scoping review.

AIM AND OBJECTIVES: The aim of this study is to identify preoperative indicators and/or predictors of complications or inefficiencies in the surgical process that can be modified within nursing practice. BACKGROUND: Due to rapid sociodemographic and technological change, the global demand for surgical attention is rising exponentially, requiring new strategies for optimisation and sustainability in perioperative care. DESIGN: We conduced the scoping review using the methodology recommended by the Joanna Briggs Institute supported with The PAGER framework and guided by the PRISMA-ScR Checklist. METHODS: Four databases (CINAHL, MEDLINE, SCOPUS and PUBMED) were examined to extract relevant published results for elective surgery on adult patients during the period 2011-2021. This process identified 609 records. Exclusion criteria were applied, and the sample was then evaluated with the Quality Assessment Tool for Studies with Diverse Designs (QATSDD), after which 15 studies remained. RESULTS: The following preoperative indicators and/or predictors were considered: (1) Anxiety; (2) Pain; (3) Health education, knowledge and training; (4) Satisfaction; (5) Management/organisation (including costs, resources used/available, organisational issues, hospital stay (preoperative), standardisation and protocolisation. CONCLUSION: The identification of five indicators and/or predictors of complications or inefficiencies in the surgical process, which can be modified by nursing, allows the effective application of interventions in the preoperative phase, optimising care and improving health outcomes. RELEVANCE TO CLINICAL PRACTICE: The development and implementation of specific nursing skills in the preoperative phase are essential to optimise the surgical process.

Quality analysis of the clinical laboratory literature and its effectiveness on clinical quality improvement: a systematic review.

Quality improvement in clinical laboratories is crucial to ensure accurate and reliable test results. With increasing awareness of the potential adverse effects of errors in laboratory practice on patient outcomes, the need for continual improvement of laboratory services cannot be overemphasized. A literature search was conducted on PubMed and a web of science core collection between October and February 2021 to evaluate the scientific literature quality of clinical laboratory quality improvement; only peer-reviewed articles written in English that met quality improvement criteria were included. A structured template was used to extract data, and the papers were rated on a scale of 0-16 using the Quality Improvement Minimum Quality Criteria Set (QI-MQCS). Out of 776 studies, 726 were evaluated for clinical laboratory literature quality analysis. Studies were analyzed according to the quality improvement and control methods and interventions, such as training, education, task force, and observation. Results showed that the average score of QI-MQCS for quality improvement papers from 1981-2000 was 2.5, while from 2001-2020, it was 6.8, indicating continuous high-quality improvement in the clinical laboratory sector. However, there is still room to establish a proper system to judge the quality of clinical laboratory literature and improve accreditation programs within the sector.

Sigma metric analysis of quality indicators across the testing process as an effective tool for the evaluation of laboratory performance.

Background: Laboratories across the world are successfully using quality indicators (QIs) to monitor their performance. We aimed to analyze the effectiveness of using the peer group comparison and statistical tools such as sigma metrics for periodic evaluation of QIs and identify potential errors in the preanalytical, analytical, and postanalytical phases. Methods: We evaluated the monthly QIs for 1 year. A total of 11 QIs were evaluated across the three phases of the total testing process, using percentage variance, and sigma metric analysis. Results: Our study observed that based on sigma metric analysis, the performance was good for all the QIs except for the number of samples with the inappropriate specimen hemolyzed samples, clotted samples, and turnaround time (Sigma value < 3). The percentage variance of QIs in all the phases was plotted in a Pareto chart, which helped us in identifying turnaround time and internal quality control performance are the key areas that contribute to almost 80% of the errors among all the QIs. Conclusion: Laboratory performance evaluation using QIs and sigma metric analysis helped us in identifying and prioritizing the corrective actions in the key areas of the total testing process.

Effect of TQM educational interventions on the management policy standard of health promoting hospitals.

The purpose of this study was to manage total quality management (TQM) to increase the standard of management policy and contribute to achieve the standards for health promotion hospitals (HPHs). This was a quasi-experimental intervention study. A total of 35 managers participated in this study were selected in the census. Based on the TQM components, educational items were provided as lectures, posters and pamphlets. The TQM questionnaire and HPHs checklist used to collect data in three different periods: before the interventions, immediately after the interventions and 3 months after the interventions (follow-up). The data analysis was done by means of SPSS software (version 23). The results showed that the average difference of the components of the qualitative groups (p < 0.001), education (p = 0.004), evaluation and feedback (p < 0.001), customer-orientation (p < 0.001), suggestion system (p = 0.024), leadership commitment (p < 0.001) was significant over the three periods. Excluding the employment status before the educational intervention (p = 0.002), there was no significant relationship between the demographic characteristics and mean score of TQM (p > 0.05). Based on the findings of this study, the educational interventions had a positive effect on quality management and management policy. Therefore, educational interventions should be accompanied by changes in the culture and management policies of the hospital to meet HPH standards.

[Suggestions for checking quality of occupational health examination].

To project the basis of occupational health examination quality assessment, and put forward advices for cheking: the quality and safety of occupational health examination, assessment requirements, the key points on-site, utilization of the quality assessment results. Total quality control (TQC) contains basic quality, link quality, final quality and front, middle, back of the quality in occupational health examination.

Interprofessional, multitiered daily rounding management in a high-acuity hospital.

PURPOSE: The purpose of this explanatory case study is to explain the implementation of interprofessional, multitiered lean daily management (LDM) and to quantitatively report its impact on hospital safety. DESIGN/METHODOLOGY/APPROACH: This case study explained the framework for LDM implementation and changes in quality metrics associated with the interprofessional, multitiered LDM, implemented at Saint Francis Hospital and Medical Center (SFHMC) at the end of 2018. Concepts from lean, Total Quality Management (TQM) and high reliability science were applied to develop the four tiers and gemba rounding components of LDM. A two-tailed t-test analysis was utilized to determine statistical significance for serious safety events (SSEs) comparing the intervention period (January 2019-December 2019) to the baseline period (calendar years 2017 and 2018). Other quality and efficiency metrics were also tracked. FINDINGS: LDM was associated with decreased SSEs in 2019 compared to 2017 and 2018 (p ≤ 0.01). There were no reportable central line-associated blood stream infection (CLABSI) or catheter-associated urinary tract infection (CAUTI) for first full calendar quarter in the hospital's history. Hospital-acquired pressure injuries were at 0.2 per 1,000 patient days, meeting the annual target of <0.5 per 1,000 patient days. Outcomes for falls with injury, hand hygiene and patient experience also trended toward target. These improvements occurred while also observing a lower observed to expected length of stay (O/E LOS), which is the organizational marker for hospital's efficiency. RESEARCH LIMITATIONS/IMPLICATIONS: LDM may contribute greatly to improve safety outcomes. This observational study was performed in an urban, high-acuity, low cost hospital which may not be representative of other hospitals. Further study is warranted to determine whether this model can be applied more broadly to other settings. PRACTICAL IMPLICATIONS: LDM can be implemented quickly to achieve an improvement in hospital safety and other health-care quality outcomes. This required a redistribution of time for hospital staff but did not require any significant capital or other investment. SOCIAL IMPLICATIONS: As hospital systems move from a volume-based to value-based health-care delivery model, dynamic interventions using LDM can play a pivotal role in helping all patients, particularly in underserved settings where lower cost care is required for sustainability, given limited available resources. ORIGINALITY/VALUE: While many hospital systems promote organizational rounding as a routine quality improvement process, this study shows that a dynamic, intense LDM model can dramatically improve safety within months. This was done in a challenging urban environment for a high-acuity population with limited resources.

Analytical validation of an in-house method for adenosine deaminase determination.

BACKGROUND: The adenosine deaminase (ADA) enzyme is a marker of inflammatory processes whose activity can be measured through a colorimetric method developed as an in-house assay. This validation can reduce costs and expand the alternatives for laboratory diagnosis. METHODS: The ADA analysis was achieved through a modified form of Giusti and Galanti's (1984) method. The following parameters were characterized: calibration curve, linearity, analytical sensitivity, limit of detection, limit of quantification, method working range, precision (within-assay and between-assay), bias, total analytical error, and sample stability. The results were statistically evaluated and compared with quality specifications based on biological variations and the performance of commercial tests. RESULTS: The analytical sensitivity and limit of detection (0.013 and 3.0 U/L, respectively) were lower than those of commercial tests. The method's working range was 3.2-100.0 U/L. According to the quality specification, the method showed optimum performance with a bias <3.5%. However, repeatability (2.2% and 1.7% for normal- and high-activity samples, respectively) and reproducibility achieved worse results when compared to commercial tests. The method demonstrated an inappropriate between-assay precision for low enzymatic activity (10.4%) and the minimum and desirable performance for medium (8.8%) and high (5.0%) activities, respectively. It also presented at least a minimum performance (<25%) for the total analytical error of the three analyzed samples. The pleural fluid samples were found to be stable at -20°C for six days. CONCLUSION: The findings show that the in-house method displays an acceptable performance and is capable of generating results comparable to existing commercial tests.

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

PURPOSE: This scoping review aimed to generate an overview of existing quality management (QM) models for inpatient healthcare published in peer-reviewed literature. DATA SOURCES: Peer-reviewed publications published until June 2016 were retrieved from the databases Medline, PubMed, CINAHL and Cochrane Library using search terms related to QM and models. STUDY SELECTION: Publications mentioning a QM model for general application in healthcare or inpatient care in their title or abstract were included. Languages considered were: English, French, German, Italian and Spanish. DATA EXTRACTION: Data extraction was 3-fold. First, publication characteristics were summarized. Second, the frequency of each identified model was documented and the publications were divided into conceptual and implementation publications. Third, relevant QM models were identified and information regarding the model, including content and relationship with other models, was extracted. RESULTS OF DATA SYNTHESIS: Of 925 retrieved publications, 213 were included. The included publications reported on 64 different QM models that were suitable for or used in inpatient care. Seventeen models were identified as being relevant. The 17 models were then categorized into three different levels: conceptual quality improvement models, concrete application models and country specific adaptations. CONCLUSION: This scoping review provides an overview of 17 existing QM models for inpatient care and their relationships with each other. Various types of models with differing aspects and components exist. In searching for QM models, many different concepts like QM system, accreditation or methodologies appeared. For future investigation, concepts of interest should be clarified.

Using a National Representative Sample to Evaluate the Integrity of the 30-Day Surgical Mortality Metric.

The 30-day surgical mortality metric is endorsed by the National Quality Forum for value-based purchasing purposes. However, its integrity has been questioned, as there is documented evidence of hospital manipulation of this measure, by way of inappropriate palliative care designation and changes in patient selection. To determine if there is evidence of potential manipulation, we retrospectively analyzed 1,725,291 surgical admissions from 158 United States hospitals participating in the National Inpatient Sample from 2010 to 2011. As a way of evaluating unnecessary life-prolonging measures, we determined that a significant increase in mortality rate after post-operative day 30 (day 31-35) would indicate manipulation. We compared the post-operative mortality rates for each hospital between Post-Operative Day 26-30 and Post-Operative Day 31-35 using Wilcoxon signed-rank tests. After application of the Bonferroni correction, the results showed that none of the hospitals had a statistically significant increase in mortality after post-operative day 30. This analysis fails to impugn the integrity of this measure, as we did not identify any evidence of potential manipulation of the 30-day surgical mortality metric.

Organisational culture: the hidden operand in clinical laboratories.

PURPOSE: The purpose of this paper is to present organisational cultural determinants that can influence total quality management (TQM) in clinical laboratories. DESIGN/METHODOLOGY/APPROACH: This is a viewpoint paper using evidence provided by a literature research about cultural patterns using Competing Values Framework to explain the relationship between organisational culture and TQM. FINDINGS: Cultural aspects likely to enhance creativity and innovation are considered as incentives in promoting cultural transformation. TQM in the average modern clinical laboratory requires a long overdue transformational change in values, culture and attitude. SOCIAL IMPLICATIONS: Valuing people, making up an organisation, is expected to enhance TQM. ORIGINALITY/VALUE: This paper provokes a shift in thinking among traditional clinical laboratory managers and results in a win-win for both staff and total quality outcomes.

Greek gynecology healthcare professionals towards quality management systems.

PURPOSE: Today, quality management systems (QMS) are a promising candidate for the improvement of healthcare services. The purpose of this paper is to investigate the opinions/attitudes of gynecology healthcare professionals toward quality and quality management in healthcare facilities (HFs) in Greece. DESIGN/METHODOLOGY/APPROACH: An anonymous self-administered questionnaire was distributed to healthcare professionals, asking for opinions on quality objectives associated with the everyday workflow in HFs (e.g. management of patients, resources, etc.) and on QMS. The study was conducted in Hippokration Hospital of Thessaloniki, including 187 participants. Statistical assessment and analysis of the questionnaires were carried out. FINDINGS: Although 87.5 percent recognized the importance of potential QMS implementation and accreditation, over 50 percent believed that it would lead rather to increased workload and bureaucracy than to any considerable quality improvement. More than 60 percent were completely unaware of the implementation of quality objectives such as quality handbook, quality policy, audit meetings and accreditation status in their HFs. This unawareness was also reported in terms of patient, data, human and general resources management. Finally, awareness over medical malpractice and positive attitude toward official reporting were detected. ORIGINALITY/VALUE: Most respondents acknowledged the significance of quality, QMS implementation and accreditation in Greek hospitals. However, there was a critical gap in knowledge about quality management objectives/processes that could be possibly resolved by expert teams and well-organized educational programs aiming to educate personnel regarding the various quality objectives in Greek HFs.

A structural model of total quality management, work values, job satisfaction and patient-safety-culture attitude among nurses.

AIM: This study explores the impact of total quality management on patient-safety-culture attitudes among clinical nurses, focusing on the correlations between total quality management, work values, employee satisfaction, and patient-safety-culture attitudes. BACKGROUND: Implementing total quality management can improve nurses' attitudes towards patient-safety culture. METHOD: This hospital-based, cross-sectional survey used a convenience sample of 30 inpatient units and 12 intensive care units at five Taiwanese regional teaching hospitals with over 500 beds. Seven hundred questionnaires were distributed (140 to each hospital) during 25 June-5 July 2015. Data were collected using an anonymous, self-administered, and structured questionnaire. The model was tested using structural equation modelling and serial mediation analysis. RESULTS: Of 515 completed questionnaires (73.6% response rate), 23 were invalid and 492 were used (70.3% retrieved rate). The total effect of total quality management on patient-safety-culture attitudes was significant via work values, which had a direct influence on patient-safety-culture attitude. Total quality management affected employee satisfaction, which directly influenced patient-safety-culture attitudes. CONCLUSION: Total quality management creates a beneficial working environment and improves patient-safety culture. Total quality management, work values, and employee satisfaction orientation are important predictors of nurses' attitudes toward patient-safety-culture attitudes. IMPLICATIONS FOR NURSING MANAGEMENT: Health care managers should cultivate nursing performance to achieve continuous quality improvement in nursing care.

Sample management for clinical biochemistry assays: Are serum and plasma interchangeable specimens?

The constrained economic context leads laboratories to centralize their routine analyses on high-throughput platforms, to which blood collection tubes are sent from peripheral sampling sites that are sometimes distantly located. Providing biochemistry results as quickly as possible implies to consolidate the maximum number of tests on a minimum number of blood collection tubes, mainly serum tubes and/or tubes with anticoagulants. However, depending on the parameters and their pre-analytical conditions, the type of matrix - serum or plasma - may have a significant impact on results, which is often unknown or underestimated in clinical practice. Importantly, the matrix-related effects may be a limit to the consolidation of analyses on a single tube, and thus must be known by laboratory professionals. The purpose of the present critical review is to put forward the main differences between using serum and plasma samples on clinical biochemistry analyses, in order to sensitize laboratory managers to the need for standardization. To enrich the debate, we also provide an additional comparison of serum and plasma concentrations for approximately 30 biochemistry parameters. Properties, advantages, and disadvantages of serum and plasma are discussed from a pre-analytical standpoint - before, during, and after centrifugation - with an emphasis on the importance of temperature, delay, and transport conditions. Then, differences in results between these matrices are addressed for many classes of biochemistry markers, particularly proteins, enzymes, electrolytes, lipids, circulating nucleic acids, metabolomics markers, and therapeutic drugs. Finally, important key-points are proposed to help others choose the best sample matrix and guarantee quality of clinical biochemistry assays. Moreover, awareness of the implications of using serum and plasma samples on various parameters assayed in the laboratory is an important requirement to ensure reliable results and improve patient care.

Validation of the Six Sigma Z-score for the quality assessment of clinical laboratory timeliness.

BACKGROUND: The International Federation of Clinical Chemistry and Laboratory Medicine has introduced in recent times the turnaround time (TAT) as mandatory quality indicator for the postanalytical phase. Classic TAT indicators, namely, average, median, 90th percentile and proportion of acceptable test (PAT), are in use since almost 40 years and to date represent the mainstay for gauging the laboratory timeliness. In this study, we investigated the performance of the Six Sigma Z-score, which was previously introduced as a device for the quantitative assessment of timeliness. METHODS: A numerical simulation was obtained modeling the actual TAT data set using the log-logistic probability density function. Five thousand replicates for each size of the artificial TAT random sample (n=20, 50, 250 and 1000) were generated, and different laboratory conditions were simulated manipulating the PDF in order to generate more or less variable data. The Z-score and the classic TAT indicators were assessed for precision (%CV), robustness toward right-tailing (precision at different sample variability), sensitivity and specificity. RESULTS: Z-score showed sensitivity and specificity comparable to PAT (≈80% with n≥250), but superior precision that ranged within 20% by moderately small sized samples (n≥50); furthermore, Z-score was less affected by the value of the cutoff used for setting the acceptable TAT, as well as by the sample variability that reflected into the magnitude of right-tailing. CONCLUSIONS: The Z-score was a valid indicator of laboratory timeliness and a suitable device to improve as well as to maintain the achieved quality level.

Long story short: an introduction to the short-term and longterm Six Sigma quality and its importance in laboratory medicine for the management of extra-analytical processes.

There is a compelling need for quality tools that enable effective control of the extra-analytical phase. In this regard, Six Sigma seems to offer a valid methodological and conceptual opportunity, and in recent times, the International Federation of Clinical Chemistry and Laboratory Medicine has adopted it for indicating the performance requirements for non-analytical laboratory processes. However, the Six Sigma implies a distinction between short-term and long-term quality that is based on the dynamics of the processes. These concepts are still not widespread and applied in the field of laboratory medicine although they are of fundamental importance to exploit the full potential of this methodology. This paper reviews the Six Sigma quality concepts and shows how they originated from Shewhart's control charts, in respect of which they are not an alternative but a completion. It also discusses the dynamic nature of process and how it arises, concerning particularly the long-term dynamic mean variation, and explains why this leads to the fundamental distinction of quality we previously mentioned.

Exploring the impact and use of patients' feedback about their care experiences in general practice settings-a realist synthesis.

Background: Policy encourages health care providers to listen and respond to feedback from patients, expecting that it will enhance care experiences. Enhancement of patients' experiences may not yet be a reality, particularly in primary health care settings. Objective: To identify the issues that influence the use and impact of feedback in this context. Design and Setting: A realist synthesis of studies of the use of patient feedback within primary health care settings. Methods: Structured review of published studies between 1971 and January 2015. Results: Eighteen studies were reported in 20 papers. Eleven studies reported patient survey scores as a primary outcome. There is little evidence that formal patient feedback led to enhanced experiences. The likelihood of patient feedback to health care staff stimulating improvements in future patients' experiences appears to be influenced predominantly by staff perceptions of the purpose of such feedback; the validity and type of data that is collected; and where, when and how it is presented to primary health care teams or practitioners and teams' capacity to change. Conclusions: There is limited research into how patient feedback has been used in primary health care practices or its usefulness as a stimulant to improve health care experience. Using a realist synthesis approach, we have identified a number of contextual and intervention-related factors that appear to influence the likelihood that practitioners will listen to, act on and achieve improvements in patient experience. Consideration of these may support research and improvement work in this area.

Effectiveness of capacity building interventions relevant to public health practice: a systematic review.

BACKGROUND: This systematic review assessed the effectiveness of capacity building interventions relevant to public health practice. The aim is to inform and improve capacity building interventions. METHODS: Four strategies were used: 1) electronic database searching; 2) reference lists of included papers; 3) key informant consultation; and 4) grey literature searching. Inclusion (e.g., published in English) and exclusion criteria (e.g., non-English language papers published earlier than 2005) are outlined with included papers focusing on capacity building, learning plans, or professional development plans within public health and related settings, such as non-governmental organizations, government, or community-based organizations relating to public health or healthcare. Outcomes of interest included changes in knowledge, skill or confidence (self-efficacy), changes in practice (application or intent), and perceived support or supportive environments, with outcomes reported at the individual, organizational or systems level(s). Quality assessment of all included papers was completed. RESULTS: Fourteen papers were included in this review. These papers reported on six intervention types: 1) internet-based instruction, 2) training and workshops, 3) technical assistance, 4) education using self-directed learning, 5) communities of practice, and 6) multi-strategy interventions. The available literature showed improvements in one or more capacity-building outcomes of interest, mainly in terms of individual-level outcomes. The available literature was moderate in quality and showed a range of methodological issues. CONCLUSIONS: There is evidence to inform capacity building programming and how interventions can be selected to optimize impact. Organizations should carefully consider methods for analysis of capacity building interventions offered; specifically, through which mechanisms, to whom, and for which purpose. Capacity-building interventions can enhance knowledge, skill, self-efficacy (including confidence), changes in practice or policies, behaviour change, application, and system-level capacity. However in applying available evidence, organizations should consider the outcomes of highest priority, selecting intervention(s) effective for the outcome(s) of interest. Examples are given for selecting intervention(s) to match priorities and context, knowing effectiveness evidence is only one consideration in decision making. Future evaluations should: extend beyond the individual level, assess outcomes at organizational and systems levels, include objective measures of effect, assess baseline conditions, and evaluate features most critical to the success of interventions.