Journal articles: 'Nursing quality indicators'

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Christman, Luther P. "Quality Indicators in Nursing." Nursing Administration Quarterly 22, no. 4 (1998): 91–92. http://dx.doi.org/10.1097/00006216-199802240-00026.

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Langemo, Diane K., Julie Anderson, and Cecilia M. Volden. "Nursing Quality Outcome Indicators." JONA: The Journal of Nursing Administration 32, no. 2 (February 2002): 98–105. http://dx.doi.org/10.1097/00005110-200202000-00009.

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Unoki, Takeshi. "Quality indicators in critical care nursing." Journal of the Japanese Society of Intensive Care Medicine 20, no. 3 (2013): 381–86. http://dx.doi.org/10.3918/jsicm.20.381.

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Harrington, Charlene, Janis O' Meara, Eric Collier, and John F. Schnelle. "Nursing Indicators of Quality in Nursing Homes." Journal of Gerontological Nursing 29, no. 10 (October 1, 2003): 5–9. http://dx.doi.org/10.3928/0098-9134-20031001-04.

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Garcia, Paulo Carlos, and Fernanda Maria Togeiro Fugulin. "Nursing care time and quality indicators for adult intensive care: correlation analysis." Revista Latino-Americana de Enfermagem 20, no. 4 (August 2012): 651–58. http://dx.doi.org/10.1590/s0104-11692012000400004.

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The objective of this quantitative, correlational and descriptive study was to analyze the time the nursing staff spends to assist patients in Adult Intensive Care Units, as well as to verify its correlation with quality care indicators. The average length of time spent on care and the quality care indicators were identified by consulting management instruments the nursing head of the Unit employs. The average hours of nursing care delivered to patients remained stable, but lower than official Brazilian agencies' indications. The correlation between time of nursing care and the incidence of accidental extubation indicator indicated that it decreases with increasing nursing care delivered by nurses. The results of this investigation showed the influence of nursing care time, provided by nurses, in the outcome of care delivery.

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Hoare, Kathy, Janice Lacoste, Kate Haro, and Carolyn Conyers. "Exploring Indicators of Telephone Nursing Quality." Journal of Nursing Care Quality 14, no. 1 (October 1999): 38–46. http://dx.doi.org/10.1097/00001786-199910000-00005.

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Favez, Lauriane, Franziska Zúñiga, Narayan Sharma, Catherine Blatter, and Michael Simon. "Assessing Nursing Homes Quality Indicators’ between-Provider Variability and Reliability: A Cross-Sectional Study Using ICCs and Rankability." International Journal of Environmental Research and Public Health 17, no. 24 (December 10, 2020): 9249. http://dx.doi.org/10.3390/ijerph17249249.

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Nursing home quality indicators are often used to publicly report the quality of nursing home care. In Switzerland, six national nursing home quality indicators covering four clinical domains (polypharmacy, pain, use of physical restraints and weight loss) were recently developed. To allow for meaningful comparisons, these indicators must reliably show differences in quality of care levels between nursing homes. This study’s objectives were to assess nursing home quality indicators’ between-provider variability and reliability using intraclass correlations and rankability. This approach has not yet been used in long-term care contexts but presents methodological advantages. This cross-sectional multicenter study uses data of 11,412 residents from a convenience sample of 152 Swiss nursing homes. After calculating intraclass correlation 1 (ICC1) and rankability, we describe between-provider variability for each quality indicator using empirical Bayes estimate-based caterpillar plots. To assess reliability, we used intraclass correlation 2 (ICC2). Overall, ICC1 values were high, ranging from 0.068 (95% confidence interval (CI) 0.047–0.086) for polypharmacy to 0.396 (95% CI 0.297–0.474) for physical restraints, with quality indicator caterpillar plots showing sufficient between-provider variability. However, testing for rankability produced mixed results, with low figures for two indicators (0.144 for polypharmacy; 0.471 for self-reported pain) and moderate to high figures for the four others (from 0.692 for observed pain to 0.976 for physical restraints). High ICC2 figures, ranging from 0.896 (95% CI 0.852–0.917) (self-reported pain) to 0.990 (95% CI 0.985–0.993) (physical restraints), indicated good reliability for all six quality indicators. Intraclass correlations and rankability can be used to assess nursing home quality indicators’ between-provider variability and reliability. The six selected quality indicators reliably distinguish care differences between nursing homes and can be recommended for use, although the variability of two—polypharmacy and self-reported pain—is substantially chance-driven, limiting their utility.

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Mangold, Kara, and Jocelyn Pearson. "Making Sense of Nursing-Sensitive Quality Indicators." Journal for Nurses in Professional Development 33, no. 3 (2017): 159–60. http://dx.doi.org/10.1097/nnd.0000000000000323.

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Arling, G., S. L. Karon, F. Sainfort, D. R. Zimmerman, and R. Ross. "Risk Adjustment of Nursing Home Quality Indicators." Gerontologist 37, no. 6 (December 1, 1997): 757–66. http://dx.doi.org/10.1093/geront/37.6.757.

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Arling, Greg, Robert L. Kane, Teresa Lewis, and Christine Mueller. "Future Development of Nursing Home Quality Indicators." Gerontologist 45, no. 2 (April 2005): 147–56. http://dx.doi.org/10.1093/geront/45.2.147.

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ROBINSON, DAVID KEITH. "Developing clinical quality indicators in psychiatric nursing." Journal of Psychiatric and Mental Health Nursing 2, no. 2 (April 1995): 111–12. http://dx.doi.org/10.1111/j.1365-2850.1995.tb00151.x.

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Gallagher, Rita Munley, and Patricia A. Rowell. "Claiming the Future of Nursing Through Nursing-sensitive Quality Indicators." Nursing Administration Quarterly 27, no. 4 (October 2003): 273–84. http://dx.doi.org/10.1097/00006216-200310000-00004.

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Chayati, Nur, Christantie Effendy, and Ismail Setyopranoto. "Validity and reliability testing of home care stroke quality indicators." International Journal of Public Health Science (IJPHS) 10, no. 4 (December 1, 2021): 873. http://dx.doi.org/10.11591/ijphs.v10i4.20846.

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<p>It is disconcerting that until today there are no agencies or research to recommend the appropriate indicators of home nursing care of stroke patients according to Indonesian conditions. Hence, this research aimed to verify the validity and reliability of quality indicators of home nursing care for stroke patient that resulted from Delphy process. Confirmatory factor analysis was carried out for validity and reliability testing with data collected from 350 respondents. Based on the value of loading factors, 62 indicators were declared valid and five indicators were invalid. This study successfully proved the validity of 62 indicators of quality home care for stroke patients. Further research is needed to pilot project this indicator in a larger area.</p>

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Kleinpell, Ruth M. "Quality Indicators." AACN Clinical Issues: Advanced Practice in Acute and Critical Care 16, no. 2 (April 2005): 119–20. http://dx.doi.org/10.1097/00044067-200504000-00001.

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Favez, Lauriane, Franziska Zúñiga, Catherine Blatter, Narayan Sharma, and Michael Simon. "Physical Restraint Use in Swiss Nursing Homes: Two New National Quality Indicators." Innovation in Aging 4, Supplement_1 (December 1, 2020): 665. http://dx.doi.org/10.1093/geroni/igaa057.2300.

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Abstract Quality indicators are used in nursing homes to assess physical restraint use. Switzerland introduced two publicly reported indicators measuring the use of 1) bedrails and 2) trunk fixation or seating that prevent standing up. Whether these indicators show good between-provider variability is unknown. The study aimed to measure the prevalence of physical restraint use and assess their between-provider variability using a cross-sectional, multicentre study of a convenience sample of nursing homes. The between-provider variability of the indicators was assessed with intraclass correlation 1 and with caterpillar plots based on Empirical Bayes estimates. We included 11,412 residents from 152 nursing homes. Prevalence rates were 13.5% (n=1’433) for bedrails and 3.6% (n=411) for trunk fixation / seating that prevent standing up. For the first indicator, intraclass correlation 1 was 0.245 (95%-CI 0.197-0.286), for the second 0.343 (95%-CI 0.235-0.405). The two indicators showed good between-provider variability and can be recommended for public reporting. Part of a symposium sponsored by Systems Research in Long-Term Care Interest Group.

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Dupont, Charlèss, Robrecht De Schreye, Joachim Cohen, Mark De Ridder, Lieve Van den Block, Luc Deliens, and Kathleen Leemans. "Pilot Study to Develop and Test Palliative Care Quality Indicators for Nursing Homes." International Journal of Environmental Research and Public Health 18, no. 2 (January 19, 2021): 829. http://dx.doi.org/10.3390/ijerph18020829.

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An increasingly frail population in nursing homes accentuates the need for high quality care at the end of life and better access to palliative care in this context. Implementation of palliative care and its outcomes can be monitored by using quality indicators. Therefore, we developed a quality indicator set for palliative care in nursing homes and a tailored measurement procedure while using a mixed-methods design. We developed the instrument in three phases: (1) literature search, (2) interviews with experts, and (3) indicator and measurement selection by expert consensus (RAND/UCLA). Second, we pilot tested and evaluated the instrument in nine nursing homes in Flanders, Belgium. After identifying 26 indicators in the literature and expert interviews, 19 of them were selected through expert consensus. Setting-specific themes were advance care planning, autonomy, and communication with family. The quantitative and qualitative analyses showed that the indicators were measurable, had good preliminary face validity and discriminative power, and were considered to be useful in terms of quality monitoring according to the caregivers. The quality indicators can be used in a large implementation study and process evaluation in order to achieve continuous monitoring of the access to palliative care for all of the residents in nursing homes.

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Gabriel, Carmen Silvia, Daniele Ramos, Andrea Boldrini, Silvana Silveira Kempfer, Andrea Bernardes, and Fernanda Ludmila Rossi Rocha. "Usage of quality indicators in hospital nursing services in Brazil." Journal of Hospital Administration 2, no. 4 (June 19, 2013): 91. http://dx.doi.org/10.5430/jha.v2n4p91.

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Quality indicators are tools to measure the quality of care. Objective: To identify the quality indicators adopted by nursing services of hospitals in the state of São Paulo, Brazil. Method: A cross-sectional, non-experimental, descriptive and quantitative approach, performed in seventeen teaching hospitals in the state of São Paulo, Brazil, using a questionnaire answered by the head of the Nursing Service. Results: Only 5.9% of hospital nursing services do not adopt indicators, showing concern for the quality of care. There is a preference for the adoption of care indicators. Conclusion: A culture of adoption and analysis of indicators exists in hospital nursing services and the indicators are related to classical nursing care processes, with less emphasis on the adoption of indicators related to human resource management and user satisfaction.

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Horrocks, Sue, Katherine Pollard, Lorna Duncan, Christina Petsoulas, Emma Gibbard, Jane Cook, Ruth McDonald, et al. "Measuring quality in community nursing: a mixed-methods study." Health Services and Delivery Research 6, no. 18 (April 2018): 1–132. http://dx.doi.org/10.3310/hsdr06180.

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Background High-quality nursing care is crucial for patients with complex conditions and comorbidities living at home, but such care is largely invisible to health planners and managers. Nursing care quality in acute settings is typically measured using a range of different quality measures; however, little is known about how service quality is measured in community nursing. Objective To establish which quality indicators (QIs) are selected for community nursing; how these are selected and applied; and their usefulness to service users (patients and/or carers), commissioners and provider staff. Design A mixed-methods study comprising three phases. (1) A national survey was undertaken of ‘Commissioning for Quality and Innovation’ indicators applied to community nursing care in 2014/15. The data were analysed descriptively using IBM SPSS Statistics 20.0 (IBM Corporation, Armonk, NY, USA). (2) An in-depth case study was conducted in five sites. Qualitative data were collected through observations, interviews, focus groups and documents. A thematic analysis was conducted using QSR NVivo 10 (QSR International, Warrington, UK). The findings from the first two phases were synthesised using a theoretical framework to examine how local and distal contexts affecting care provision impacted on the selection and application of QIs for community nursing. (3) Validity testing the findings and associated draft good practice guidance through a series of stakeholder engagement events held in venues across England. Setting The national survey was conducted by telephone and e-mail. Each case study site comprised a Clinical Commissioning Group (CCG) and its associated provider of community nursing services. Participants Survey – 145 (68.7%) CCGs across England. Case study NHS England national and regional quality leads (n = 5), commissioners (n = 19), provider managers (n = 32), registered community nurses (n = 45); and adult patients (n = 14) receiving care in their own homes and/or carers (n = 7). Findings A wide range of indicators was used nationally, with a major focus on organisational processes. Lack of nurse and service user involvement in indicator selection processes had a negative impact on their application and perceived usefulness. Indicator data collection was hampered by problematic information technology (IT) software and connectivity and interorganisational system incompatibility. Front-line staff considered indicators designed for acute settings inappropriate for use in community settings. Indicators did not reflect aspects of care, such as time spent, kindness and respect, that were highly valued by front-line staff and service user participants. Workshop delegates (commissioners, provider managers, front-line staff and service users, n = 242) endorsed the findings and drafted good practice guidance. Limitations Ongoing service reorganisation during the study period affected access to participants in some sites. The limited available data precluded an in-depth documentary analysis. Conclusions The current QIs for community nursing are of limited use. Indicators will be enhanced by involving service users and front-line staff in identification of suitable measures. Resolution of connectivity and compatibility challenges should assist implementation of new IT packages into practice. Modifications are likely to be required to ensure that indicators developed for acute settings are suitable for community. A mix of qualitative and quantitative methods will better represent community nursing service quality. Future work Future research should investigate the appropriate modifications and associated costs of administering QI schemes in integrated care settings. Funding The National Institute for Health Research Health Services and Delivery Research programme.

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Chung, Jane. "Development and Application of Nursing Service Quality Indicators in Nursing Homes." Journal of Korean Academy of Nursing 37, no. 3 (2007): 401. http://dx.doi.org/10.4040/jkan.2007.37.3.401.

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O'Lynn, Chad. "Rethinking Indicators of Academic Quality in Nursing Programs." Journal of Nursing Education 56, no. 4 (April 1, 2017): 195–96. http://dx.doi.org/10.3928/01484834-20170323-01.

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Karon, Sarita L., François Sainfort, and David R. Zimmerman. "Stability of Nursing Home Quality Indicators Over Time." Medical Care 37, no. 6 (June 1999): 570–79. http://dx.doi.org/10.1097/00005650-199906000-00006.

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Podgorny, Kelly L. "Developing nursing-focused quality indicators: A professional challenge." Journal of Nursing Care Quality 6, no. 1 (October 1991): 47–52. http://dx.doi.org/10.1097/00001786-199110000-00008.

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Rantz, M. J., L. Hicks, G. F. Petroski, R. W. Madsen, D. R. Mehr, V. Conn, M. Zwygart-Staffacher, and M. Maas. "Stability and Sensitivity of Nursing Home Quality Indicators." Journals of Gerontology Series A: Biological Sciences and Medical Sciences 59, no. 1 (January 1, 2004): M79—M82. http://dx.doi.org/10.1093/gerona/59.1.m79.

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Robinson, B. E. "STABILITY AND SENSITIVITY OF NURSING HOME QUALITY INDICATORS." Journals of Gerontology Series A: Biological Sciences and Medical Sciences 60, no. 3 (March 1, 2005): 323. http://dx.doi.org/10.1093/gerona/60.3.323.

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Wical, Christina S., Heather L. Hable, and Brenda Baker. "Nursing Sensitive Quality Indicators in the Perinatal Setting." Journal of Obstetric, Gynecologic & Neonatal Nursing 42 (June 2013): S77. http://dx.doi.org/10.1111/1552-6909.12165.

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Muñoz-Fernández, Santiago, Ma Dolores Aguilar, Raquel Almodóvar, Laura Cano-García, Sandra Fortea, Cristina Patricia Alcañiz-Escandell, José R. Rodríguez, Laura Cebrián, and Pablo Lázaro. "SCORE study: quality indicators for rheumatology nursing clinics." Rheumatology International 37, no. 3 (January 20, 2017): 353–61. http://dx.doi.org/10.1007/s00296-016-3644-7.

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Smith, Mary Atkinson, Lynne Jacobs, Lauren Rodier, Ashley Taylor, and Carlotta Taylor-White. "Clinical Quality Indicators." Orthopaedic Nursing 30, no. 5 (2011): 301–4. http://dx.doi.org/10.1097/nor.0b013e31822e077b.

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&NA;. "Clinical Quality Indicators." Orthopaedic Nursing 30, no. 5 (2011): 305–6. http://dx.doi.org/10.1097/nor.0b013e318231c29d.

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Hart, Sara, Sandra Bergquist, Byron Gajewski, and Nancy Dunton. "Reliability Testing of the National Database of Nursing Quality Indicators Pressure Ulcer Indicator." Journal of Nursing Care Quality 21, no. 3 (July 2006): 256–65. http://dx.doi.org/10.1097/00001786-200607000-00011.

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Hart, Sara, Sandra Bergquist, Byron Gajewski, and Nancy Dunton. "Reliability Testing of the National Database of Nursing Quality Indicators Pressure Ulcer Indicator." JONA: The Journal of Nursing Administration 40, Supplement (October 2010): S16—S25. http://dx.doi.org/10.1097/nna.0b013e3181f37d15.

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Xu, Dongjuan, Robert Kane, and Greg Arling. "Relationship between nursing home quality indicators and potentially preventable hospitalisation." BMJ Quality & Safety 28, no. 7 (March 13, 2019): 524–33. http://dx.doi.org/10.1136/bmjqs-2018-008924.

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BackgroundHospitalisations are very common among nursing home residents and many of these are deemed inappropriate or preventable. Little is known about whether clinical care quality is related to hospitalisation, especially potentially preventable hospitalisations (PPHs). Among the few studies that have been conducted, the findings have been inconsistent. The objective of this study was to examine the relationship between quality indicators and overall and PPHs among Medicaid beneficiaries aged 65 years and older receiving care at nursing homes in Minnesota.Methods23 risk-adjusted quality indicators were used to assess nursing home quality of care. Quality indicators and other facility-level variables from the Minnesota Nursing Home Report Card were merged with resident-level variables from the Minimum Data Set. These merged data were linked with Medicaid claims to obtain hospitalisation rates during the 2011–2012 period. The sample consisted of a cohort of 20 518 Medicaid beneficiaries aged 65 years and older who resided in 345 Minnesota nursing homes. The analyses controlled for resident and facility characteristics using the generalised linear mixed model.ResultsThe results showed that about 44 % of hospitalisations were PPHs. Available quality indicators were not strongly or consistently associated with the risk of hospitalisation (neither overall nor PPH). Among these 23 quality indicators, five quality indicators (antipsychotics without a diagnosis of psychosis, unexplained weight loss, pressures sores, bladder continence and activities of daily living [ADL] dependence) were related significantly to hospitalisation and only four quality indicators (antipsychotics without a diagnosis of psychosis, unexplained weight loss, ADL dependence and urinary tract infections) were related to PPH.ConclusionAlthough general quality indicators can be informative about overall nursing home performance, only selected quality indicators appear to tap dimensions of clinical quality directly related to hospitalisations.

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Kotalux, Chaiyuth, Thanpimol Kensakoo, and Werayuth Srithumsuk. "Nursing outcome quality indicators for patients with ischemic stroke receiving thrombectomy treatment: A Delphi study." Belitung Nursing Journal 8, no. 6 (December 27, 2022): 491–96. http://dx.doi.org/10.33546/bnj.2230.

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Background: Thrombectomy treatment is a critical procedure that emerged a few years ago, and nurses play a crucial role in the process, particularly in preventing complications and improving outcomes. Therefore, determining the quality of nursing care with best-fit quality indicators in patients with ischemic stroke receiving thrombectomy is necessary. However, no research has determined the nursing outcome quality indicators for these patients. Objective: This research aimed to identify the nursing outcome quality indicators for patients with ischemic stroke receiving thrombectomy treatment. Methods: Nineteen experts involved with patients with ischemic stroke receiving thrombectomy treatment were recruited. The Delphi method was implemented with three rounds between October 2021 to February 2022. Medians and interquartile ranges were analyzed. Results: Twenty-eight nursing outcome quality indicators were developed and grouped into three components, including 1) pre-procedure (five indicators), 2) intra-procedure (six indicators), and 3) post-procedure (17 indicators). Conclusion: This study revealed that the post-procedure of thrombectomy treatment had a greater number compared to pre and intra-procedures. The quality indicators developed in this research are practical and appropriate for nursing practice to enhance the quality of nursing care for patients with ischemic stroke receiving thrombectomy treatment.

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Griggs, Kim, Richard Wiechula, and Lynette Cusack. "Geriatric Nursing Sensitive Indicators and quality nursing care for the older person." JBI Database of Systematic Reviews and Implementation Reports 16, no. 1 (January 2018): 39–45. http://dx.doi.org/10.11124/jbisrir-2017-003373.

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Xu, Dongjuan, Teresa Lewis, Marissa Rurka, and Greg Arling. "Evaluation of Minnesota’s Long-Stay Nursing Home Quality Indicators." Innovation in Aging 5, Supplement_1 (December 1, 2021): 539. http://dx.doi.org/10.1093/geroni/igab046.2073.

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Abstract The Minnesota Nursing Home Report Card provides 19 clinical quality indictor (QI) ratings. Currently, face validity and expert opinions are employed to group the 19 long-stay QIs into 10 different domains. However, we do not know whether these domains are supported by the data. Under the current scoring program, some QIs may not discriminate very well between facilities. The objective was to evaluate the dimensionality of the QIs and the current scoring approach used to assign points to the domain and total QI scores. Risk-adjusted facility-level rates for the 19 QIs over the 2012-2019 period were used. Our findings indicate it is reasonable to categorize these QIs into 4 domains. Moreover, the current scoring approach is best suited for a facility QI distribution that is approximately normal. However, 11 QIs display a skewed distribution with facilities tightly grouped at the very bottom (floor) or top (ceiling) of the QI distribution. Our findings suggest that the current scoring approach may distort or exaggerate the differences in the QI rates with skewed distributions, assigning widely varying points to facilities that vary little in their QI rates. We recommend a zero-error approach for highly skewed QIs where the QI outcome is achievable and it reflects a serious quality problem. Our study of the QI scoring system is part of a package of recommendations to improve the Minnesota Nursing Home Report Card and value-based reimbursement system. Lessons learned from the study are readily applicable to Medicare’s Nursing Home Compare report.

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Garcia, Paulo Carlos, Daisy Maria Rizatto Tronchin, and Fernanda Maria Togeiro Fugulin. "Care time and quality indicators in Intensive Care Units." Revista Brasileira de Enfermagem 72, suppl 1 (February 2019): 166–72. http://dx.doi.org/10.1590/0034-7167-2018-0067.

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ABSTRACT Objective: To verify the correlation between nursing care time and care quality indicators. Method: Observational, correlational study, developed in 11 Intensive Care Units. The population comprised records of the number of nursing professionals, the number of patients with at least one of the Oro/Nasogastroenteral Probe (GEPRO), Endotracheal Tube (COT) and Central Venous Catheter (CVC) therapeutic devices and the occurrences related to the losses of these artifacts. Results: The time corresponded to 18.86 hours (Hospital A), 21 hours (Hospital B) and 19.50 hours (Hospital C); the Unplanned Outflow Incidence of GEPRO indicator presented a mean of 2.19/100 patients/day; Unplanned Extubation of COT Incidence, 0.42/100 patients/day; and CVC Loss Incidence, 0.22/100 patients/day. There was no statistically significant correlation between time and indicators analyzed. Conclusion: This research may support methodological decisions for future investigations that seek the impact of human resources on the care quality and patient safety.

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Silveira, Thaizy Valânia Lopes, Pedro Paulo do Prado Júnior, Andréia Guerra Siman, and Marilane de Oliveira Fani Amaro. "The importance of using quality indicators in nursing care." Revista Gaúcha de Enfermagem 36, no. 2 (June 2015): 82–88. http://dx.doi.org/10.1590/1983-1447.2015.02.47702.

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OBJECTIVE: To investigate the opinion of hospital nurses on the use of quality indicators for nursing care. METHOD: Research based on the qualitative approach, conducted with 41 nurses from two charity hospitals in Minas Gerais, from September to October 2013. Interviews with a semi-structured script were used to collect data. The empirical data were organized by means of content analysis. RESULTS: Indicators are important for assessing the provided care, for improving the quality of care, and for defining strategies to achieve goals. CONCLUSIONS: The difficulties encountered when using these indicators revealed the following constituent elements: lack of time, inadequate number of professionals and lack of knowledge on the subject. It was concluded that nurses understand that indicators are instruments that enable evaluations and improvements, but their understanding of how to use these instruments is incomplete and fragmented.

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Nielsen, Theresa, and Sheryl Schutte. "Linking Nursing Outcomes To Long-Term Care Quality Indicators." International Journal of Nursing Terminologies and Classifications 14, s4 (October 2003): 55. http://dx.doi.org/10.1111/j.1744-618x.2003.051_8.x.

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Kitson, Alison L. "Indicators of quality in nursing care ? an alternative approach." Journal of Advanced Nursing 11, no. 2 (March 1986): 133–44. http://dx.doi.org/10.1111/j.1365-2648.1986.tb01231.x.

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Saliba, Debra, and John F. Schnelle. "Indicators of the Quality of Nursing Home Residential Care." Journal of the American Geriatrics Society 50, no. 8 (August 2002): 1421–30. http://dx.doi.org/10.1046/j.1532-5415.2002.50366.x.

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Cowell, Julia Muennich. "Should We Care About Quality Indicators for Nursing Journals?" Journal of School Nursing 28, no. 4 (July 18, 2012): 250–51. http://dx.doi.org/10.1177/1059840512452100.

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Katz, Paul R., Jurgis Karuza, Julie Lima, and Orna Intrator. "Nursing Home Medical Staff Organization: Correlates With Quality Indicators." Journal of the American Medical Directors Association 12, no. 9 (November 2011): 655–59. http://dx.doi.org/10.1016/j.jamda.2010.06.004.

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Báo, Ana Cristina Pretto, Simone Coelho Amestoy, Gisela Maria Schebella Souto de Moura, and Letícia de Lima Trindade. "Quality indicators: tools for the management of best practices in Health." Revista Brasileira de Enfermagem 72, no. 2 (April 2019): 360–66. http://dx.doi.org/10.1590/0034-7167-2018-0479.

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ABSTRACT Objective: To analyze how nurses recognize and use quality indicators, aimed at contributing to the management of best practices in Health. Method: Case study with a qualitative approach, conducted with twelve nurses from a hospital in southern Brazil from March to May 2016. For data collection, semi-structured interviews and focus groups were used. Data were subjected to content analysis, in the thematic modality. Results: The data showed that quality indicators are regarded as a tool for measuring health care outcomes, promoting the improvement of continuous care, assisting in the clinical decision-making and being present in discussions with the nursing team, in addition to contributing to the management of best practices in Health. Final Consideration: Quality indicator may support improvements in health services and in the nursing work, strengthening health policies.

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Rantz, Marilyn J., Gregory F. Petroski, Richard W. Madsen, Jill Scott, David R. Mehr, Lori Popejoy, Lanis L. Hicks, Rose Porter, Mary Zwygart-Stauffacher, and Victoria Grando. "Setting Thresholds for MDS Quality Indicators for Nursing Home Quality Improvement Reports." Joint Commission Journal on Quality Improvement 23, no. 11 (November 1997): 602–11. http://dx.doi.org/10.1016/s1070-3241(16)30343-1.

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Potter, Patricia. "An assessment tool for developing quality indicators." Journal of Nursing Care Quality 6, no. 1 (October 1991): 30–39. http://dx.doi.org/10.1097/00001786-199110000-00006.

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Castle, Nicholas G., Kathryn Hyer, John A. Harris, and John Engberg. "Nurse Aide Retention in Nursing Homes." Gerontologist 60, no. 5 (March 6, 2020): 885–95. http://dx.doi.org/10.1093/geront/gnz168.

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Abstract Background and Objectives The association of nurse aide retention with three quality indicators is examined. Retention is defined as the proportion of staff continuously employed in the same facility for a defined period of time. Research Design and Methods Data used in this investigation came from survey responses from 3,550 nursing facilities, Certification and Survey Provider Enhanced Reporting data, and the Area Resource File. Staffing characteristics, quality indicators, facility, and market information from these data sources were all measured in 2016. Nurse aide retention was measured at 1, 2, and 3 years of employment. The quality indicators examined were a count of all deficiency citations, quality of care deficiency citations, and J, K, L deficiency citations. Negative binomial regression analyses were used to study the associations between the three different retention measures and these three quality indicators. Results The 1-, 2-, and 3-year nurse aide retention measures were 53.2%, 41.4%, and 36.1%, respectively. The regression analyses show low levels of retention to be generally associated with poor performance on the three deficiency citation quality indicators examined. Discussion and Implications The research presented starts to provide information on nurse aide retention as an important workforce challenge and its potential impact on quality. Retention may be an additional staffing characteristic of nursing facilities with substantial policy and practice relevance.

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Gabriel, Carmen Silvia, Marcia Regina Antonieto da Costa Melo, Fernanda Ludmila Rossi Rocha, Andréa Bernardes, Tatiana Miguelaci, and Maria de Lourdes Prado Silva. "Use of performance indicators in the nursing service of a public hospital." Revista Latino-Americana de Enfermagem 19, no. 5 (October 2011): 1247–54. http://dx.doi.org/10.1590/s0104-11692011000500024.

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The study aimed to identify performance indicators adopted by the Nursing Service of a public hospital and to analyze the opinions of the nurses regarding the use of these indicators to evaluate the quality of the nursing care. This is descriptive exploratory study with a quantitative approach, which used data from the management reports of the institution and applied a questionnaire in a sample of 25 nurses. It was found that the institution works with three databases of indicators, two being general and one specific for Nursing, which analyze 11 indicators. The indicators of pressure ulcer incidence and incidence of falls were the only ones considered highly relevant to qualify the nursing care for 100% of the nurses. It was concluded that the institution uses indicators for monitoring outcomes and tends to valorize the use of process indicators by the nurses to evaluate the Nursing performance, with it being necessary to expand the analysis to include multi-disciplinary indicators.

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Rapin, Joachim, Danielle D’Amour, and Carl-Ardy Dubois. "Indicators for Evaluating the Performance and Quality of Care of Ambulatory Care Nurses." Nursing Research and Practice 2015 (2015): 1–8. http://dx.doi.org/10.1155/2015/861239.

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The quality and safety of nursing care vary from one service to another. We have only very limited information on the quality and safety of nursing care in outpatient settings, an expanding area of practice. Our aim in this study was to make available, from the scientific literature, indicators potentially sensitive to nursing that can be used to evaluate the performance of nursing care in outpatient settings and to integrate those indicators into the theoretical framework of Dubois et al. (2013). We conducted a scoping review in three databases (CINAHL, MEDLINE, and EMBASE) and the bibliographies of selected articles. From a total of 116 articles, we selected 22. The results of our study not only enable that framework to be extended to ambulatory nursing care but also enhance it with the addition of five new indicators. Our work offers nurses and managers in ambulatory nursing units indicators potentially sensitive to nursing that can be used to evaluate performance. For researchers, it presents the current state of knowledge on this construct and a framework with theoretical foundations for future research in ambulatory settings. This work opens an unexplored field for further research.

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Silverstein, Burton, Patricia A. Findley, and Rita K. Bode. "Usefulness of the Nursing Home Quality Measures and Quality Indicators for Assessing Skilled Nursing Facility Rehabilitation Outcomes." Archives of Physical Medicine and Rehabilitation 87, no. 8 (August 2006): 1021–25. http://dx.doi.org/10.1016/j.apmr.2006.05.001.

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Rantz, Marilyn J., Lori Popejoy, David R. Mehr, Mary Zwygart-Stauffacher, Lanis L. Hicks, Victoria Grando, Vicki S. Conn, Rose Porter, Jill Scott, and Meridean Maas. "Verifying Nursing Home Care Quality Using Minimum Data Set Quality Indicators and Other Quality Measures." Journal of Nursing Care Quality 12, no. 2 (December 1997): 54–62. http://dx.doi.org/10.1097/00001786-199712000-00011.

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Johnson, Judi. "Quality Indicators for Professional and Personal Growth." Journal of Pediatric Oncology Nursing 10, no. 2 (January 1993): 51. http://dx.doi.org/10.1177/104345429301000209.

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Journal articles on the topic 'Nursing quality indicators'

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