Construction of nursing-sensitive quality indicators for cardiac catheterisation: A Delphi study and an analytic hierarchy process

Developing integrated person-centered care quality indicators for home health agencies in Shanghai, China: A modified Delphi-analytic hierarchy process study

OBJECTIVES

To develop person-centered integrated care quality indicators for home health agencies in Shanghai, China.

DESIGN

The study combined the Delphi method and the analytic hierarchy process (AHP).

MATERIAL AND METHODS

The Delphi consultation questionnaire was distributed to experts in home healthcare in Shanghai, China. A panel of experts with experience in home healthcare in Shanghai, China, was selected. Purposive sampling was used to choose experts. In this study, ten experts were selected from within sub-fields of home healthcare, including nursing, health policy, quality improvement, person-centered care (PCC), and integrated care.

RESULTS

The authority coefficient (Cr) in this study was 0.835. The coordination degree of experts' opinions, which is expressed by Kendall coordination coefficient W (a higher value, better coordination of the item), ranged from 0.352 to 0.386 (p < 0.001). The consistency ratio (CR) values for each level were less than 0.1. The quality indicator system included three first-level indicators, 15 second-level indicators, and 56 third-level indicators.

CONCLUSIONS

A person-centered integrated care quality indicator system was developed for home health agencies. The findings from this study enable nurses, managers, and policymakers in home and community-based settings to evaluate person-centered integrated care quality using a robust framework. In addition, these indicators can also be used as a standardized tool to guide the development of long-term care services and supports (LTSS) for home-bound elderly.

Psychosocial intervention programme based on the needs of women undergoing termination of pregnancy for foetal anomalies: A modified Delphi study

AIM

To construct a psychosocial intervention programme for women diagnosed with foetal anomalies based on their needs in China.

DESIGN

A three round-modified Delphi survey from September to November 2020.

METHODS

In Round 1, based on literature review and qualitative interviews, a face-to-face meeting with eight taskforce members was conducted to generate the initial intervention indicators. In Round 2 and 3, 15 experts and three stakeholders (women undergoing termination of pregnancy for foetal anomalies) were invited by email to evaluate the importance of the indicators and built the final psychosocial intervention programme.

RESULTS

The response rate for both two rounds is 100%. The experts' authority coefficient was 0.86. The Kendall W value of the two rounds ranged between 0.191 and 0.339. A needs-based psychosocial intervention programme was established, including four periods (denial, confirmation, decision-making and recovery), three needs-based supports (information, social and acceptance commitment therapy) and 27 intervention indicators. The mean value of the importance of each index was 4.00-5.00. Further research is required to evaluate whether this programme is realistic and effective for the target audiences.

Construction and evaluation of nursing-sensitive quality indicators for vaginal birth after cesarean: A Delphi study based on Chinese population

Aim

To develop scientific, systematic and clinically applicable nursing-sensitive quality indicators for vaginal birth after cesarean in obstetrics, which provide a theoretical and clinical basis for monitoring and improving the nursing quality of vaginal birth after cesarean in China.

Methods

A modified Delphi-consensus technique was used in this study. Based on literature retrieval published between January 2012 and December 2022 and group discussion, the preliminary nursing-sensitive quality indicators were selected using a structural-process-outcome model. Then a questionnaire was designed on the preliminary indicators. The modified Delphi method was used to conduct two rounds of expert consultation among 26 hospitals in China. The survey data of experts' opinions were collected and analyzed to determine the final nursing-sensitive quality indicators. The importance of indicators, rationality of calculation formula and operability of data collection were analyzed and discussed.

Results

A total of 33 nursing-sensitive quality indicators were determined. The indicators were composed of 3-level ones, including 3 first-level indicators (structural, process and outcome indicators), 9 s-level ones and 33 third-level ones. The positive coefficients in the two rounds of expert consultation were 95.56 % and 97.67 %, respectively, and the authoritative coefficients were 0.88 and 0.94. The coefficients of variation ranged from 0.05 to 0.28.

Conclusion

The nursing-sensitive quality indicators were successfully developed using the modified Delphi method. The indicators are scientific, systematic and clinically operable, and play an important role in improving the nursing quality for pregnant women with vaginal birth after cesarean.

Construction of nursing-sensitive quality indicators for epilepsy in China: A Delphi consensus study

OBJECTIVE

The quality and safety of epilepsy care are of great importance because seizures are unpredictable. The aim of this study was to develop a set of nursing-sensitive quality indicators (NSQIs) for assessing and improving the quality of epilepsy nursing care in China.

METHODS

An international literature review, a cross-sectional survey and a qualitative study were conducted to identify candidate NSQIs for epilepsy care and compile a questionnaire. Then, two rounds of electronic Delphi studies were conducted with a panel of 27 independent experts to identify the final NSQIs for epilepsy.

RESULTS

Thirty-nine candidate NSQIs were extracted for the Delphi process. The recovery rates in the first and second rounds of expert consultations were 92.6% and 96.2%, respectively. The experts' authority coefficients of the two rounds were 0.876 and 0.878, respectively. The Kendall W value of the two rounds ranged between 0.094 and 0.200 (p<0.001). Eight structure indicators, 9 process indicators and 7 outcome indicators that represented the following three domains were included in the set of NSQIs for epilepsy: nursing resource allocation, implementation of nursing care, and outcomes of patients with epilepsy.

CONCLUSION

These NSQIs for epilepsy provide a primary foundation for monitoring and improving the quality of epilepsy nursing care in China. However, the effects of these indicators on improvements in epilepsy care and outcomes in patients need to be verified in clinical practice.

Identifying nursing sensitive indicators from electronic health records in acute cardiac care-Towards intelligent automated assessment of care quality

AIM

The aim of this study is to explore the potential of using electronic health records for assessment of nursing care quality through nursing-sensitive indicators in acute cardiac care.

BACKGROUND

Nursing care quality is a multifaceted phenomenon, making a holistic assessment of it difficult. Quality assessment systems in acute cardiac care units could benefit from big data-based solutions that automatically extract and help interpret data from electronic health records.

METHODS

This is a deductive descriptive study that followed the theory of value-added analysis. A random sample from electronic health records of 230 patients was analysed for selected indicators. The data included documentation in structured and free-text format.

RESULTS

One thousand six hundred seventy-six expressions were extracted and divided into (1) established and (2) unestablished expressions, providing positive, neutral and negative descriptions related to care quality.

CONCLUSIONS

Electronic health records provide a potential source of information for information systems to support assessment of care quality. More research is warranted to develop, test and evaluate the effectiveness of such tools in practice.

IMPLICATIONS FOR NURSING MANAGEMENT

Knowledge-based health care management would benefit from the development and implementation of advanced information systems, which use continuously generated already available real-time big data for improved data access and interpretation to better support nursing management in quality assessment.