Keywords
Patient satisfaction, infection prevention and control, systematic review, protocol
Infection prevention and control (IPC) practices are used to prevent or minimise the risk to patients and staff of acquiring healthcare-associated infections (HAI), including those caused by antimicrobial resistance (AMR) pathogens. These practices are continually changing. Previous systematic reviews have focused or either overall patient satisfaction or specific IPC practices, however none have addressed the association of IPC with patient satisfaction.
The aim of this systematic review and meta-analysis is to assess the association between IPC practices and patient satisfaction in the acute hospital setting.
This systematic review will be conducted in accordance with the Joanna Briggs Institute (JBI) methodology for systematic reviews of aetiology and risk across multiple electronic databases. The population, exposure, outcomes (PEO) tool for systematic reviewing in patients having undergone IPC practices will be used. Observational studies in peer-reviewed journals meeting the search criteria will be reviewed for inclusion. Rayyan Systematic Review software will be used and two reviewers from the research team will conduct the title and abstract screening. One team member will read identified articles in depth and extract relevant data with guidance by the JBI-recommended approach. Data will be extracted in duplicate, by another member of the research team, for 20% of the identified papers. The Meta-analysis Of Observational Studies in Epidemiology (MOOSE) reporting guidelines will be referred to in addition to the PRISMA-P guidelines 1 . A descriptive summary of all included papers will be written. A random effects meta-analysis will be conducted where possible.
IPC practices are not limited to one intervention and a patient may experience numerous IPC measures during their inpatient stay. However, IPC practices and their association on patient satisfaction is unknown.
Patient satisfaction, infection prevention and control, systematic review, protocol
Infection prevention and control (IPC) practices, such as antimicrobial stewardship and hand hygiene principles, are used in healthcare facilities (HCF) to prevent or minimise the risk to patients and staff of developing healthcare-associated infections (HAI) or acquiring antimicrobial resistance (AMR) pathogens2. Targeted IPC practice occurs when a patient with an infection or with carriage of a multi-drug resistant organism poses a risk to other patients and/or staff, in an effort to reduce onward spread. These measures often include isolation precautions, cohorting of patients with similar infections/exposure (i.e. contact patients) and applying standard precautions in the form of using personal protective equipment (PPE) such as gloves gowns and/or masks by healthcare workers when interacting with affected patients. These measures are the cornerstone of IPC and widely recommended by national and international bodies3.
IPC practices in HCFs are continually changing4. The evidence for IPC practice continues to evolve, new antimicrobial resistant organisms are emerging as technologies and governance structures develop. Integration of IPC programmes with antimicrobial stewardship have had a positive effect on patient safety and quality improvement programmes5. Patient-centred healthcare should incorporate the patient journey. A systematic review conducted in 2017 into the determinants of patient satisfaction found that patient satisfaction is mainly underpinned by perceptions of health service quality characteristics however, results varied greatly6.
Systematic reviews to determine aetiology and risk are helpful to assess the association between particular exposure and outcome7. Such reviews are important for informing healthcare planning, resource allocation, and are core to defining reliable evidence for practice8. This is particularly valuable for decision makers when deciding health policy and the prevention of adverse health outcomes. Previous systematic reviews have focused or either overall patient satisfaction or specific IPC, however none have addressed the association of IPC with patient satisfaction6,9–11. Conducting a systematic review of the association of patient satisfaction with IPC practice will help IPC teams and policy decision-makers better understand HAI from the patient perspective i.e. those directly impacted by them.
The aim is to identify peer-reviewed publications reporting on patient satisfaction and IPC practices. The objective of this systematic review and meta-analysis is to assess the association between IPC practices and patient satisfaction in the acute hospital setting. Tools used to measure patient satisfaction will be documented and a meta-analysis conducted on the reported levels of patient satisfaction and IPC practices where possible.
This systematic review will be conducted in accordance with the Joanna Briggs Institute (JBI) methodology for systematic reviews of aetiology and risk8. Systematic review of studies to answer questions of aetiology still follows the same basic principles of systematic review of other types of data and includes a critical appraisal process of identified studies.
The registration number of this study protocol in PROSPERO IS 2024 CRD42024558385. The Preferred Reporting Items for Systematic Reviews and Meta-Analysis Protocols (PRISMA-P) statement will be used when screening papers1.
The population, exposure, outcomes (PEO) tool for systematic reviewing in patients having undergone IPC practices are outlined in Table 1. No language or timeframe filters will be applied when executing search strings. Identified studies will be reviewed for the following inclusion criteria:
i. Admitted patients in acute hospital facilities
ii. Patients aged over 18 years
iii. Quantifiable patient feedback on IPC practice
Where studies are identified in which the population and outcomes of interest are reported as part of a broader study, the relevant subset of data will be extracted and included in this review. If it is unclear from the title and abstract whether the paper involves a specific assessment tool(s), reviewers will assess the full text against the study inclusion criteria (included here in Table 1).
Observational studies in peer-reviewed journals meeting the search criteria will be reviewed for inclusion. Articles categorised as case reports, case series, letters, editorials, meta-analyses, commentaries, review articles, and conference abstracts will be excluded, however, reference lists of identified systematic reviews will be searched for relevant papers. Due to insufficient data, reports from grey literature including conference abstracts will be excluded. Qualitative studies, which do not report a quantifiable measure of patient satisfaction, will be excluded.
The search strategy will aim to locate both published studies and include all identified keywords and index terms. It will be adapted for each included information source (Appendix 1). To ensure all results are captured, search strings will focus on combining terms for ‘infection prevention and control’ and ‘patient satisfaction’. The term ‘acute hospital’ will not be used as a filter during the search process as some papers may not explicitly specify the facility type as a keyword or in the abstract. The search strings for each database have been developed in conjunction with an information specialist librarian.
An electronic search will be performed through MEDLINE, Scopus, Web of Science, EMBASE, Cochrane Library, Cumulative Index to Nursing and Allied Health Literature (CINAHL) and PsycINFO databases. To identify appropriate key words, in addition to Medical Subject Headings (MeSH) terms, popular and commonly used phrases will be used in the search string. Reference lists of relevant articles will also be searched.
Identified studies will be uploaded into Rayyan Systematic Review software, and any subsequent duplicates will be removed12. Two reviewers from the research team will conduct the title and abstract screening. Any potential discrepancies between reviewers will be decided by a third member of the research team who has expertise in the area of IPC. The Preferred Reporting Items for Systematic reviews and Meta-Analyses (PRISMA-P) will be used to display the findings of the screening process1. All studies identified for inclusion will then undergo data extraction and meta-analysis if sufficient homogeneity.
One author (MS) will read identified articles in depth and will extract all relevant data with guidance by the JBI-recommended approach. Data will be extracted in duplicate, by another member of the research team, for 20% of the identified papers. Any discrepancies between reviewers will be decided through consultation with the wider research team. Extracted data will be inserted into an excel data collection tool created for this purpose and approved by the research team. The initial version of this tool is included in Table 2. The usual demographic information (authors, year published, journal, etc.,) is included as well as the type of tool being utilised to measure patient satisfaction and what elements of IPC were assessed. We will also identify which papers were instigated as a result measures implemented during the COVID-19 pandemic. The number of participants, the mean and the standard deviation for each intervention group will be collected. If not available alternative statistics such as the standard error, confidence interval, or test statistic will be extracted. Subgroups of interests include hospital types, study groups conducting the research and patient demography such as sex, age and specialty.
Critical appraisal of articles will be performed using the ‘Quality In Prognosis Studies’ (QUIPS) tool and will be conducted by two members of the research team13. These members will extract relevant data. All included studies, regardless of the results of their methodological quality, will undergo data extraction and synthesis (where possible). If possible, the results of critical appraisal will be incorporated into analysis on meta-analysis approach: type of IPC practice and association on patient satisfaction.
The Meta-analysis Of Observational Studies in Epidemiology (MOOSE) reporting guidelines will be referred to in addition to the PRISMA guidelines8,14. A descriptive summary of all included papers will be written.
Data extracted will be summarised where possible and at least five studies identified using similar patient satisfaction measures. If different measures of association are used (e.g. odds ratios, relative risks, standardised mean differences), these will only be pooled if there are sufficient numbers of studies. Methods similar to those provided in the Cochrane Handbook may be used to combine across different reported statistics15. A random effects meta-analysis will be conducted where possible to consider possible heterogeneity between studies. Where data has not been provided, we will attempt to contact the primary authors for the complete data set and analysis, if available by request.
Heterogeneity between studies will be assessed using the I2 statistic for quantifying inconsistency with an l2 of 50% or greater representing substantial heterogeneity. A contour-enhanced funnel plot will be used to investigate any possible publication bias.
Subgroup analysis will be completed to investigate any heterogeneity in findings between studies published as a result of the COVID-19 pandemic compared with those not affected by the pandemic. Further subgroup analysis into possible heterogeneity due to the specific IPC practice will be conducted when there are five or more reports in each subgroup. This may not be possible if the number of identified reports is insufficient.
IPC practices are not limited to one intervention and as a result a patient may experience numerous IPC measures during their inpatient stay. However, their overall association on patient satisfaction is unknown. On completion of this systematic review, we hope to bridge this knowledge gap and quantify the association between IPC and patient satisfaction.
Ethics approval is not required for this systematic review. This protocol is reported in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses Protocols (PRISMA-P) guidelines1.
Findings will be disseminated through conference presentation and publication in a peer-reviewed journal. Findings will be reported in accordance with the PRISMA statement1.
Figshare: Supplementary files, https://doi.org/10.6084/m9.figshare.2639640716.
This project contains the following extended data: Appendix 1: Search strategy
Figshare: PRISMA-P Checklist for ‘Patient satisfaction with infection prevention control practices in the acute hospital setting: a systematic review and meta-analysis protocol’, https://doi.org/10.6084/m9.figshare.2639640417.
Data are available under the terms of the Creative Commons Attribution 4.0 International license (CC-BY 4.0).
The first draft of the manuscript was written by Mairead Skally. All authors contributed to the study conception and design and have read and approved the final manuscript.
We are grateful for the assistance of John Heritage, patient representative on the European Study Group on Clostridioides difficile and Killian Walsh, Information Specialist, RCSI Library.
Is the rationale for, and objectives of, the study clearly described?
Partly
Is the study design appropriate for the research question?
Yes
Are sufficient details of the methods provided to allow replication by others?
Yes
Are the datasets clearly presented in a useable and accessible format?
Partly
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: IPC, AMR
Is the rationale for, and objectives of, the study clearly described?
Partly
Is the study design appropriate for the research question?
Yes
Are sufficient details of the methods provided to allow replication by others?
Yes
Are the datasets clearly presented in a useable and accessible format?
Partly
Competing Interests: No competing interests were disclosed.
Reviewer Expertise: AMR, IPC, Hygiene
Alongside their report, reviewers assign a status to the article:
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