1
|
Holmes SD, Qato DM, Briesacher B, Zarowitz B, Brandt N, McArdle PF, Fleming S, Johnson A, Koethe B, Desai A, Lucas JA, Wastila L. Nursing Home Characteristics Associated with Antipsychotic Prescribing After Implementation of the National Antipsychotic Reduction Initiative (ARI). Clin Gerontol 2024; 47:778-788. [PMID: 38762776 PMCID: PMC11479835 DOI: 10.1080/07317115.2024.2346906] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 05/20/2024]
Abstract
OBJECTIVES To describe nursing home (NH) characteristics associated with antipsychotic use and test whether associations changed after implementation of the National Partnership to Improve Dementia Care's antipsychotic reduction initiative (ARI). METHODS Longitudinal quasi-experimental design using data from multiple sources and piecewise linear mixed models were used for statistical analyses. RESULTS There was a significant decrease in monthly antipsychotic use across the study period (pre-ARI b = -0.0003, p <.001; post-ARI b = -0.0012, p <.001), which held after adjusting for NH characteristics. Registered nurse hours (b = -0.0026, p <.001), licensed practical nurse hours (b = -0.0019, p <.001), facility chain membership (b = -0.0013, p <.01), and health inspection ratings (b = -0.0003, p >.01) were associated with decreased antipsychotic use. Post-ARI changes in associations between NH characteristics and antipsychotic use were small and not statistically significant. CONCLUSIONS Decreases in antipsychotic use were associated with most NH characteristics, and associations persisted post-ARI. Further research is warranted to examine the interactions between ARI policy and NH characteristics on antipsychotic prescribing, as well as other NH factors, such as facility prescribing cultures and clinical specialty of staff. CLINICAL IMPLICATIONS Decreases in monthly antipsychotic use were observed following the ARI. The decreases in monthly antipsychotic use were associated with most NH characteristics, and these associations persisted during the post-ARI period.
Collapse
Affiliation(s)
- Sarah D. Holmes
- Department of Organizational Systems and Adult Health, University of Maryland School of Nursing, Baltimore, MD, USA
| | - Danya M. Qato
- Department of Epidemiology & Public Health, University of Maryland School of Medicine, Baltimore, MD, USA
- Department of Practice, Science, and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, MD, USA
| | - Becky Briesacher
- School of Pharmacy and Pharmaceutical Sciences, Bouvé College of Health Sciences, Northeastern University, Boston, MA, USA
| | - Barbara Zarowitz
- Peter Lamy Center on Drug Therapy and Aging, University of Maryland School of Pharmacy, Baltimore, MD, USA
| | - Nicole Brandt
- Peter Lamy Center on Drug Therapy and Aging, University of Maryland School of Pharmacy, Baltimore, MD, USA
| | - Patrick F. McArdle
- Department of Epidemiology & Public Health, University of Maryland School of Medicine, Baltimore, MD, USA
| | - Sean Fleming
- Department of Practice, Science, and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, MD, USA
| | - Abree Johnson
- Department of Practice, Science, and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, MD, USA
| | - Benjamin Koethe
- School of Pharmacy and Pharmaceutical Sciences, Bouvé College of Health Sciences, Northeastern University, Boston, MA, USA
| | | | | | - Linda Wastila
- Department of Practice, Science, and Health Outcomes Research, University of Maryland School of Pharmacy, Baltimore, MD, USA
- School of Pharmacy and Pharmaceutical Sciences, Bouvé College of Health Sciences, Northeastern University, Boston, MA, USA
| |
Collapse
|
2
|
Rataj A, Alcusky M, Baek J, Ott B, Lapane KL. Geographic Variation of Antidementia and Antipsychotic Medication Use Among US Nursing Home Residents With Dementia. Med Care 2024; 62:511-520. [PMID: 38833712 DOI: 10.1097/mlr.0000000000002016] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 06/06/2024]
Abstract
BACKGROUND Several antidementia medications have been approved for symptomatic treatment of cognitive and functional impairment due to Alzheimer disease. Antipsychotics are often prescribed off-label for behavioral symptoms. OBJECTIVE The aim of this study was to describe the basis for regional variation in antidementia and antipsychotic medication use. SETTING US nursing homes (n=9735), hospital referral regions (HRR; n=289). SUBJECTS Long-stay residents with dementia (n=273,004). METHODS Using 2018 Minimum Data Set 3.0 linked to Medicare data, facility information, and Dartmouth Atlas files, we calculated prevalence of use and separate multilevel logistic models [outcomes: memantine, cholinesterase inhibitor (ChEI), antipsychotic use] estimated adjusted odds ratios (aOR) and 95% CIs for resident, facility, and HRR characteristics. We then fit a series of cross-classified multilevel logistic models to estimate the proportional change in cluster variance (PCV). RESULTS Overall, 20.9% used antipsychotics, 16.1% used memantine, and 23.3% used ChEIs. For antipsychotics, facility factors [eg, use of physical restraints (aOR: 1.08; 95% CI: 1.05-1.11) or poor staffing ratings (aOR: 1.10; 95% CI: 1.06-1.14)] were associated with more antipsychotic use. Nursing homes in HRRs with the highest health care utilization had greater antidementia drug use (aOR memantine: 1.68; 95% CI: 1.44-1.96). Resident/facility factors accounted for much regional variation in antipsychotics (PCV STATE : 27.80%; PCV HRR : 39.54%). For antidementia medications, HRR-level factors accounted for most regional variation (memantine PCV STATE : 37.44%; ChEI PCV STATE : 39.02%). CONCLUSION Regional variations exist in antipsychotic and antidementia medication use among nursing home residents with dementia suggesting the need for evidence-based protocols to guide the use of these medications.
Collapse
Affiliation(s)
- Alison Rataj
- Department of Population and Quantitative Health Sciences, Division of Epidemiology, University of Massachusetts Chan Medical School, Worcester, MA
| | - Matthew Alcusky
- Department of Population and Quantitative Health Sciences, Division of Epidemiology, University of Massachusetts Chan Medical School, Worcester, MA
| | - Jonggyu Baek
- Department of Population and Quantitative Health Sciences, Division of Biostatistics and Health Services Research, University of Massachusetts Chan Medical School, Worcester, MA
| | - Brian Ott
- Department of Neurology, Alpert Medical School of Brown University, Providence, RI
| | - Kate L Lapane
- Department of Population and Quantitative Health Sciences, Division of Epidemiology, University of Massachusetts Chan Medical School, Worcester, MA
| |
Collapse
|
3
|
Jun H, Grabowski DC. Mental health in nursing homes: The role of immigration in the long-term care workforce. Soc Sci Med 2024; 351:116978. [PMID: 38761455 PMCID: PMC11180551 DOI: 10.1016/j.socscimed.2024.116978] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2023] [Revised: 04/05/2024] [Accepted: 05/14/2024] [Indexed: 05/20/2024]
Abstract
One-fourth of nursing home residents are diagnosed with anxiety disorders and approximately half live with depression. Nursing homes have long struggled with staffing shortages, and the lack of care has further heightened the risk of poor mental health. A key solution to both problems could be immigration. Prior studies have documented how immigrant labor could strengthen the long-term care workforce. We add to this picture by exploring the impact of immigrant inflows on the mental health outcomes of nursing home residents. Using a nationally representative dataset and a shift-share instrumental variable approach, we find empirical evidence that immigration reduces diagnoses of depression and anxiety, the use of antidepressant and antianxiety drugs, and self-assessed symptoms of depression. The results are robust to several sensitivity tests. We further find that the effect is more substantial in facilities with lower direct care staff hours per resident and with likely more immigrants without citizenship. Language barriers tend to be a minor issue when providing essential care. The findings suggest that creating a policy framework that directs immigrant labor to the long-term care sector can mutually benefit job-seeking immigrants and nursing home residents.
Collapse
Affiliation(s)
- Hankyung Jun
- Department of Health Care Policy, Harvard Medical School, Boston, MA, 02115, USA.
| | - David C Grabowski
- Department of Health Care Policy, Harvard Medical School, Boston, MA, 02115, USA
| |
Collapse
|
4
|
Shier V, Bae-Shaaw YH, Sood N, Lekovitch C, Chew F, Leland NE. The Impact of State Dementia Training Requirements for Nursing Homes on Antipsychotic Medication Use. J Am Med Dir Assoc 2024; 25:209-214.e1. [PMID: 38008125 DOI: 10.1016/j.jamda.2023.10.017] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/20/2023] [Revised: 10/18/2023] [Accepted: 10/19/2023] [Indexed: 11/28/2023]
Abstract
OBJECTIVES Nursing home (NH) staff often report not having adequate dementia-specific knowledge to effectively care for these residents. Between 2011 and 2019, 9 states in the United States implemented dementia training requirements for NH staff. This study evaluated whether the state-mandated dementia training for NH staff was associated with improving resident outcomes. DESIGN Compared trends in antipsychotic medication before and after implementation of state training requirements to trends in states without requirements. SETTING AND PARTICIPANTS NHs. METHODS Data from Care Compare for NHs and LTCFocus were linked to state policy data. We excluded 14 states that had implemented training requirements before the start of the study period in 2011. We estimated difference-in-differences models that compared trends in antipsychotic medication use before and after implementation of training requirements in states that have newly implemented requirements to trends in states without requirements. We also investigated whether the impact of training was larger in states with more stringent training requirements (eg, specifying a minimum number of training hours) and in NHs with a special care unit for dementia and examined similar analyses for restraint use and falls. RESULTS We found that training requirements were associated with a 0.59-percentage point reduction (95% CI -0.91 to -0.27) in antipsychotics use. Effects were larger in NHs with a special care unit for dementia and in states that had stricter training requirements. We also found that training requirements were associated with a 0.17-percentage point reduction (95% CI -0.26 to -0.07) in restraint use measure and had no impact on falls. CONCLUSIONS AND IMPLICATIONS State requirements for NH staff dementia training were associated with a small, but significant, reduction in the use of antipsychotic medication and physical restraints.
Collapse
Affiliation(s)
- Victoria Shier
- Schaeffer Center for Health Policy & Economics, Sol Price School of Public Policy, University of Southern California, Los Angeles, CA, USA.
| | - Yuna H Bae-Shaaw
- Titus Family Department of Clinical Pharmacy, USC Mann School of Pharmacy and Pharmaceutical Sciences, University of California, Los Angeles, CA, USA
| | - Neeraj Sood
- Schaeffer Center for Health Policy & Economics, Sol Price School of Public Policy, University of Southern California, Los Angeles, CA, USA
| | - Cara Lekovitch
- Department of Occupational Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA, USA
| | - Felicia Chew
- Department of Occupational Therapy, Thomas Jefferson University, Pittsburgh, PA, USA
| | - Natalie E Leland
- Department of Occupational Therapy, School of Health and Rehabilitation Sciences, University of Pittsburgh, Pittsburgh, PA, USA
| |
Collapse
|
5
|
Soofi H. Non-clinical uses of antipsychotics in resource-constrained long-term care facilities: ethically justifiable as lesser of two evils? JOURNAL OF MEDICAL ETHICS 2023; 49:694-698. [PMID: 36585244 DOI: 10.1136/jme-2022-108639] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 09/13/2022] [Accepted: 12/26/2022] [Indexed: 06/17/2023]
Abstract
Residents with dementia in long-term care facilities (LTCFs) often receive antipsychotic (AP) medications without clear clinical indications. One non-clinical factor influencing the use of APs in LTCFs is low staff levels. Often, using APs is viewed and rationalised by healthcare professionals in LTCFs as a lesser evil option to manage low staff levels. This paper investigates the ethical plausibility of using APs as a lesser of two evils in resource-constrained LTCFs. I examine the practice vis-à-vis the three frequently invoked conditions of lesser evil justifications as specified in the wider philosophical literature. These conditions include (1) the necessity condition, (2) the condition of sensitivity to both deontic (ie, constraint-based) and non-deontic (ie, outcome-based) considerations and (3) the commensurability condition. I argue that there are considerable difficulties in demonstrating that the practice in question satisfies the conditions of lesser evil justifications. In particular, there are major difficulties in satisfying the condition of sensitivity to deontic and outcome-based considerations, and the commensurability condition. I also argue that the current philosophical debate on lesser-evil justifications is not straightforwardly applicable to the practice of using APs for non-clinical purposes in LTCFs. I contend that caregivers are not so-called 'generic' agents, and the assumed rarity of lesser evil cases is questionable. I conclude that until further work is done to resolve these issues, the lesser evil reasoning cannot be, at least routinely, used to formulate robust moral justifications for the practice in question.
Collapse
Affiliation(s)
- Hojjat Soofi
- Macquarie University Research Centre for Agency, Values, and Ethics (CAVE), Department of Philosophy, Macquarie University, Sydney, New South Wales, Australia
| |
Collapse
|
6
|
Lühnen J, Richter T, Calo S, Meyer G, Köpke S, Möhler R. Psychosocial interventions for reducing antipsychotic medication in care home residents. Cochrane Database Syst Rev 2023; 8:CD008634. [PMID: 37650479 PMCID: PMC10471006 DOI: 10.1002/14651858.cd008634.pub3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 09/01/2023]
Abstract
BACKGROUND Antipsychotic medications are regularly prescribed in care home residents for the management of behavioural and psychological symptoms of dementia (BPSD) despite questionable efficacy, important adverse effects, and available non-pharmacological interventions. Prescription rates are related to organisational factors, staff training and job satisfaction, patient characteristics, and specific interventions. Psychosocial intervention programmes aimed at reducing the prescription of antipsychotic drugs are available. These programmes may target care home residents (e.g. improving communication and interpersonal relationships) or target staff (e.g. by providing skills for caring for people with BPSD). Therefore, this review aimed to assess the effectiveness of these interventions, updating our earlier review published in 2012. OBJECTIVES To evaluate the benefits and harms of psychosocial interventions to reduce antipsychotic medication use in care home residents compared to regular care, optimised regular care, or a different psychosocial intervention. SEARCH METHODS We used standard, extensive Cochrane search methods. The latest search date was 14 July 2022. SELECTION CRITERIA We included individual or cluster-randomised controlled trials comparing a psychosocial intervention aimed primarily at reducing the use of antipsychotic medication with regular care, optimised regular care, or a different psychosocial intervention. Psychosocial interventions were defined as non-pharmacological intervention with psychosocial components. We excluded medication withdrawal or substitution interventions, interventions without direct interpersonal contact and communication, and interventions solely addressing policy changes or structural interventions. DATA COLLECTION AND ANALYSIS We used standard Cochrane methods. Critical appraisal of studies addressed risks of selection, performance, attrition and detection bias, as well as criteria related to cluster randomisation. We retrieved data on the complex interventions on the basis of the TIDieR (Template for Intervention Description and Replication) checklist. Our primary outcomes were 1. use of regularly prescribed antipsychotic medication and 2. ADVERSE EVENTS Our secondary outcomes were 3. mortality; 4. BPSD; 5. quality of life; 6. prescribing of regularly psychotropic medication; 7. regimen of regularly prescribed antipsychotic medication; 8. antipsychotic medication administered 'as needed'; 9. physical restraints; 10. cognitive status; 11. depression; 12. activities of daily living; and 13. COSTS We used GRADE to assess certainty of evidence. MAIN RESULTS We included five cluster-randomised controlled studies (120 clusters, 8342 participants). We found pronounced clinical heterogeneity and therefore decided to present study results narratively. All studies investigated complex interventions comprising, among other components, educational approaches. Because of the heterogeneity of the results, including the direction of effects, we are uncertain about the effects of psychosocial interventions on the prescription of antipsychotic medication. One study investigating an educational intervention for care home staff assessed the use of antipsychotic medication in days of use per 100 resident-days, and found this to be lower in the intervention group (mean difference 6.30 days, 95% confidence interval (CI) 6.05 to 6.66; 1152 participants). The other four studies reported the proportion of participants with a regular antipsychotic prescription. Of two studies implementing an intervention to promote person-centred care, one found a difference in favour of the intervention group (between-group difference 19.1%, 95% CI 0.5% to 37.7%; 338 participants), while the other found a difference in favour of the control group (between-group difference 11.4%, 95% CI 0.9% to 21.9%; 862 participants). One study investigating an educational programme described as "academic detailing" found no difference between groups (odds ratio 1.06, 95% CI 0.93 to 1.20; 5363 participants). The fifth study used a factorial design to compare different combinations of interventions to supplement person-centred care. Results showed a positive effect of medication review, and no clear effect of social interaction or exercise. We considered that, overall, the evidence about this outcome was of low certainty. We found high-certainty evidence that psychosocial interventions intended primarily to reduce antipsychotic use resulted in little to no difference in the number of falls, non-elective hospitalisations, or unplanned emergency department visits. Psychosocial interventions intended primarily to reduce antipsychotic use also resulted in little to no difference in quality of life (moderate-certainty evidence), and BPSD, regular prescribing of psychotropic medication, use of physical restraints, depression, or activities of daily living (all low-certainty evidence). We also found low-certainty evidence that, in the context of these interventions, social interaction and medication review may reduce mortality, but exercise does not. AUTHORS' CONCLUSIONS All included interventions were complex and the components of the interventions differed considerably between studies. Interventions and intervention components were mostly not described in sufficient detail. Two studies found evidence that the complex psychosocial interventions may reduce antipsychotic medication use. In addition, one study showed that medication review might have some impact on antipsychotic prescribing rates. There were no important adverse events. Overall, the available evidence does not allow for clear generalisable recommendations.
Collapse
Affiliation(s)
- Julia Lühnen
- Institute of Health and Nursing Sciences, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
- Institute of Clinical Nursing Science, Charité - Universitätsmedizin Berlin, corporate member of Freie Universität Berlin and Humboldt Universität zu Berlin, Berlin, Germany
| | - Tanja Richter
- Unit of Health Sciences and Education, University of Hamburg, Hamburg, Germany
| | - Stella Calo
- Institute for Health Services Research and Health Economics, Centre for Health and Society, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University, Düsseldorf, Germany
| | - Gabriele Meyer
- Institute of Health and Nursing Sciences, Martin Luther University Halle-Wittenberg, Halle (Saale), Germany
| | - Sascha Köpke
- Unit of Health Sciences and Education, University of Hamburg, Hamburg, Germany
- Institute of Nursing Science, Faculty of Medicine and University Hospital Cologne, University of Cologne, Cologne, Germany
| | - Ralph Möhler
- Institute for Health Services Research and Health Economics, Centre for Health and Society, Medical Faculty and University Hospital Düsseldorf, Heinrich-Heine-University, Düsseldorf, Germany
| |
Collapse
|
7
|
Candon M, Strominger J, Gotlieb E, Maust DT. Nursing Home Characteristics Associated with High and Low Levels of Antipsychotic, Benzodiazepine, and Opioid Prescribing to Residents with Alzheimer's Disease and Related Dementias: A Cross-Sectional Analysis. J Am Med Dir Assoc 2022; 23:1780-1786.e2. [PMID: 35772472 PMCID: PMC9637710 DOI: 10.1016/j.jamda.2022.05.025] [Citation(s) in RCA: 5] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/08/2022] [Revised: 05/04/2022] [Accepted: 05/28/2022] [Indexed: 11/18/2022]
Abstract
OBJECTIVES We examined the association between nursing home (NH) characteristics and whether NHs had high or low levels of antipsychotic, benzodiazepine, or opioid prescribing to residents with Alzheimer's disease and related dementias (ADRD). We then measured the likelihood that NHs who were high (low) prescribers of antipsychotics were also high (low) prescribers of benzodiazepines or opioids. DESIGN A retrospective, cross-sectional analysis. SETTING AND PARTICIPANTS The sample included 448,128 Medicare beneficiaries diagnosed with ADRD, who resided in 13,151 NHs in 2017. METHODS Using Medicare claims, the Minimum Data Set, and LTCFocus, we measured the share of NH residents with ADRD who filled ≥1 antipsychotic, benzodiazepine, or opioid prescription in 2017. Using linear probability models with state-clustered SEs, we identified which NH characteristics were associated with being in the top (bottom) quartile of the prescribing distribution for each drug class. Finally, we measured whether NHs who were top-quartile (bottom-quartile) antipsychotic prescribers were more likely to be top-quartile (bottom-quartile) benzodiazepine or opioid prescribers. RESULTS Across NHs, an average of 29.1% of residents with ADRD received an antipsychotic, 30.2% received a benzodiazepine, and 40.9% received an opioid. Smaller NHs and NHs with a larger share of Medicaid-enrolled residents were more likely to be top-quartile prescribers; NHs with more registered nursing care were more likely to be bottom-quartile prescribers. Antipsychotic prescribing tracked closely with benzodiazepine prescribing, but not opioid prescribing. CONCLUSIONS AND IMPLICATIONS The overlap between antipsychotic and benzodiazepine prescribing and our finding that some NH characteristics were consistently associated with prescribing across drug classes may support the idea of an organizational culture of prescribing in NHs, which could inform efforts to improve prescribing quality in NHs. Our results also highlight benzodiazepine and opioid use for ADRD, which were more commonly prescribed than antipsychotics in NHs but have received less regulatory attention.
Collapse
Affiliation(s)
- Molly Candon
- Penn Center for Mental Health, Department of Psychiatry, Perelman School of Medicine, University of Pennsylvania, Philadelphia, PA, USA; Department of Health Care Management, The Wharton School, University of Pennsylvania, Philadelphia, PA, USA; Leonard Davis Institute of Health Economics, University of Pennsylvania, Philadelphia, PA, USA.
| | - Julie Strominger
- Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA
| | - Evelyn Gotlieb
- Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Donovan T Maust
- Center for Clinical Management Research, VA Ann Arbor Healthcare System, Ann Arbor, MI, USA; Department of Psychiatry, University of Michigan, Ann Arbor, MI, USA; Institute for Healthcare Policy and Innovation, University of Michigan, Ann Arbor, MI, USA
| |
Collapse
|
8
|
Winter JD, Kerns JW, Winter KM, Richards A, Sabo RT. Community, Social, and Facility Factors and Long-stay Antipsychotic Use. Clin Gerontol 2022; 45:1180-1188. [PMID: 35443876 PMCID: PMC9806733 DOI: 10.1080/07317115.2022.2063777] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 01/04/2023]
Abstract
OBJECTIVES Compare Virginia nursing homes in the top- and bottom-quintiles of antipsychotic use for variation in community, social, and facility factors. METHODS 2018 CMS data ascertained Virginia nursing homes in the top and bottom quintiles for antipsychotic use. The Virginia Health Department provided social determinant of health (SDOH) statistics for each facility's county/city while claims identified facility demographics. Chi square and independent two-sample t-tests compared quintiles for regional, social, and demographic differences. RESULTS Quintiles averaged 3000 residents and 56 facilities. Facilities with the lowest rates of antipsychotic use were more likely to be privately owned and had fewer African-American and minority residents and more white residents. All 18 SDOH statistics were superior for the communities of facilities with the lowest antipsychotic rates. Nine of these differences were statistically significant, including the aggregated "Health Opportunity Index." CONCLUSIONS The antipsychotic prevalence rate for facilities in the top-quintile of antipsychotic use is fivefold the bottom-quintile's rate. Antipsychotic prescribing in nursing homes is associated with regional, demographic, and social factors not addressed by existing antipsychotic reduction measures, with vulnerable populations at greatest risk. CLINICAL IMPLICATIONS The efficacy of measures aimed at curbing long-stay antipsychotic prescribing could be improved by addressing SDOH including economic opportunities.
Collapse
Affiliation(s)
- Jonathan D Winter
- Shenandoah Family Practice Residency, Deparment of Family Medicine and Population Health, Virginia Commonwealth University, Richmond, Virginia, USA
| | - J William Kerns
- Shenandoah Family Practice Residency, Deparment of Family Medicine and Population Health, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Katherine M Winter
- Shenandoah Family Practice Residency, Deparment of Family Medicine and Population Health, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Alicia Richards
- Department of Biostatistics, Virginia Commonwealth University, Richmond, Virginia, USA
| | - Roy T Sabo
- Department of Biostatistics, Virginia Commonwealth University, Richmond, Virginia, USA
| |
Collapse
|
9
|
Lapane KL, Dubé CE, Jesdale BM, Bova C. Social Connectedness among Long-Stay Nursing Home Residents with Alzheimer's and Dementia: Exploring Individual and Facility-Level Variation. Dement Geriatr Cogn Disord 2022; 51:249-261. [PMID: 35785759 PMCID: PMC9501789 DOI: 10.1159/000525343] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 04/08/2022] [Accepted: 05/13/2022] [Indexed: 11/24/2022] Open
Abstract
INTRODUCTION This study sought to explore individual and facility-level variation in social connectedness among long-stay nursing home residents with Alzheimer's or other dementias (ADRD). METHODS We identified 721,074 long-stay residents with ADRD using 2016 Minimum Data Set 3.0 data. Social connectedness was defined using the social connectedness index (SCI) (high: SCI = 5, lower: 0 < SCI ≤ 4). Adjusted odds ratios (aOR) provided estimates of the associations between resident-level and facility-level characteristics, and high SCI was derived from logistic models. RESULTS The SCI Cronbach's alpha was 0.69; 78.6% had high SCI scores. Men were less likely than women to have higher SCI scores (aOR = 0.97; 95% CI: 0.97-0.98). Increasing age was associated with higher SCI scores (e.g., aOR [85-94 vs. 40-64 years]: 1.07; 95% CI: 1.06-1.07). Those with moderate cognitive impairment (aOR: 0.87) and severe cognitive impairment (aOR: 0.85) had reduced odds of SCI = 5 relative to those with mild/intact cognitive function. Residents living in homes with special care dementia units and with higher percentage of residents with dementia had decreased odds of high social connectedness. DISCUSSION/CONCLUSION Understanding resident- and nursing home-level variation in social connectedness may be important for targeting interventions that reduce isolation among residents with ADRD.
Collapse
Affiliation(s)
- Kate L. Lapane
- Division of Epidemiology, Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts, USA,*Kate L. Lapane,
| | - Catherine E. Dubé
- Division of Epidemiology, Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts, USA
| | - Bill M. Jesdale
- Division of Epidemiology, Department of Population and Quantitative Health Sciences, UMass Chan Medical School, Worcester, Massachusetts, USA
| | - Carol Bova
- Tan Chingfen Graduate School of Nursing, UMass Chan Medical School, Worcester, Massachusetts, USA
| |
Collapse
|
10
|
Chappell V, Kirkham J, Seitz DP. Association Between Long-Term Care Facility Staffing Levels and Antipsychotic Use in US Long-Term Care Facilities. J Am Med Dir Assoc 2022; 23:1787-1792.e1. [PMID: 35926573 DOI: 10.1016/j.jamda.2022.06.029] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2021] [Revised: 05/31/2022] [Accepted: 06/25/2022] [Indexed: 11/16/2022]
Abstract
OBJECTIVES Inappropriate use of antipsychotics is an indicator of quality of care in long-term care (LTC) facilities. There is evidence to suggest that staffing levels in LTC may be associated with the rates of inappropriate antipsychotic use. This study sought to examine the association between staffing and antipsychotic prescribing in LTC facilities. DESIGN Cross-sectional study investigated the association between reported staffing levels and the frequency of inappropriate antipsychotic prescribing at US LTC facilities between 2016 and 2018. SETTING AND PARTICIPANTS Data from the Nursing Home Compare and LTCFocus datasets were linked, which contain information from the Minimum Data Set database on facility characteristics and staffing measures from the Payroll-Based Journal system. A final sample set of 10,436 facilities was used. METHODS Descriptive statistics were calculated for all variables of interest. An unadjusted linear correlation analysis and linear regression were performed. Potential confounders were investigated by comparison across low-vs high-staffing facilities where adjusted for in regression analyses. RESULTS The mean staff level for the facilities was identified as 3.69 (SD = 0.67) staffing hours per patient per day, and the mean antipsychotic use rate across all facilities was 15.24% (SD = 8.62%). There was a 0.75% decrease in inappropriate antipsychotic prescribing per unit increase in overall staff-to-patient ratio. When looking at staffing types, a 3.09% decrease in inappropriate antipsychotic prescribing per unit increase in licensed staff hours. More specifically, we saw a 2.25% decrease per unit increase in RN staffing hours, a 1.83% decrease per unit increase in LPN staffing hours, and nursing aide staffing hours were not associated with antipsychotic use. CONCLUSIONS AND IMPLICATIONS These findings provide support for policy-based interventions to decrease antipsychotic use in LTC facilities by improving staffing skill mix and staffing levels. The results may also inform nursing staff education and training on antipsychotic prescribing practices.
Collapse
Affiliation(s)
- Victoria Chappell
- Department of Psychiatry, Queen's University, Providence Care-Mental Health Services, Kingston, ON, Canada
| | - Julia Kirkham
- Department of Psychiatry, Hotchkiss Brain Institute, and O'Brien Institute for Public Health, Calgary, AB, Canada; Cumming School of Medicine, University of Calgary, Calgary, AB, Canada
| | - Dallas P Seitz
- Department of Psychiatry, Queen's University, Providence Care-Mental Health Services, Kingston, ON, Canada; Department of Psychiatry, Hotchkiss Brain Institute, and O'Brien Institute for Public Health, Calgary, AB, Canada; Cumming School of Medicine, University of Calgary, Calgary, AB, Canada.
| |
Collapse
|
11
|
Wang S, Temkin-Greener H, Conwell Y, Cai S. The National Partnership to Improve Dementia Care and Hospital Readmission Among Skilled Nursing Facility Residents. J Appl Gerontol 2022; 41:2148-2156. [PMID: 35653286 DOI: 10.1177/07334648221102402] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
Abstract
The National Partnership to Improve Dementia Care in Nursing Homes (i.e., the National Partnership) was launched in March 2012. Using national Medicare, Minimum Data Set, and Nursing Home Compare data in CY 2010-2014, we examined changes in hospital readmissions for older post-acute skilled nursing facility (SNF) residents with Alzheimer's disease or related dementias (ADRD) following the National Partnership. Using residents without ADRD as reference group to control for concurrent policy and SNF quality changes, we estimated linear probability models to examine the relationship between readmissions and the National Partnership for residents with ADRD, and also stratified the analysis by quality of SNFs. We found a decreasing trend in hospital readmissions over time. The risk of readmissions in residents with ADRD decreased additional 0.3 percentage-points (p < .01) after the launch of the National Partnership. This relationship varied across SNFs with different quality, as it was stronger in high-quality compared to low-quality SNFs.
Collapse
Affiliation(s)
- Sijiu Wang
- Department of Public Health Sciences, 123964University of Chicago Biological Sciences Division, Chicago, IL, USA
| | - Helena Temkin-Greener
- Department of Public Health Sciences, 12299University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
| | - Yeates Conwell
- Department of Psychiatry, 12299University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
| | - Shubing Cai
- Department of Public Health Sciences, 12299University of Rochester School of Medicine and Dentistry, Rochester, NY, USA
| |
Collapse
|
12
|
Moyo P, Corneau E, Cornell PY, Mochel AL, Magid KH, Levy C, Mor V. Antipsychotic initiation and new diagnoses excluded from quality-measure reporting among Veterans in community nursing homes contracted by the Veterans Health Administration in the United States. Int J Methods Psychiatr Res 2022; 31:e1898. [PMID: 34739736 PMCID: PMC8886286 DOI: 10.1002/mpr.1898] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 07/13/2021] [Revised: 09/13/2021] [Accepted: 10/21/2021] [Indexed: 11/11/2022] Open
Abstract
OBJECTIVES To assess whether prevailing antipsychotic use rates in community nursing homes (CNH) influence new initiation of antipsychotics and diagnosis with antipsychotic indications among Veterans. METHODS We used linked 2013-2016 Veterans Administration (VA) data, Medicare claims, Nursing Home Compare, and Minimum Data Set (MDS) assessments. The exposure was the proportion (in quintiles) of all CNH residents prescribed antipsychotics in the quarter preceding a Veteran's admission date. Using adjusted logistic regression, we analyzed two outcomes measured using MDS: antipsychotic initiation, and new diagnosis of an antipsychotic quality-measure exclusionary condition (i.e., schizophrenia, Tourette's syndrome, or Huntington's disease). RESULTS Among 8201 Veterans without an indication for antipsychotics at baseline, 21.1% initiated antipsychotics and 3.5% were newly diagnosed with any exclusionary diagnosis after CNH admission. Schizophrenia accounted for almost all (96.8%) the new diagnoses. Antipsychotic initiation increased with higher CNH antipsychotic use rates: OR = 2.55, 95% CI: 2.08--3.12, quintile 5 versus 1. CNHs with the highest prevalent use of antipsychotics were associated with increased odds of Veterans acquiring an exclusionary diagnosis (OR = 2.09, 95% CI: 1.32-3.32, quintile 5 vs. 1). CONCLUSIONS Incident antipsychotic use is common among Veterans admitted to CNHs. CNH antipsychotic prescribing practices are associated with Veterans being newly diagnosed with antipsychotic prescription indications, primarily schizophrenia.
Collapse
Affiliation(s)
- Patience Moyo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA
| | - Emily Corneau
- Long Term Services and Supports Center of Innovation, Providence VA Medical Center, Providence, Rhode Island, USA
| | - Portia Y Cornell
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA.,Long Term Services and Supports Center of Innovation, Providence VA Medical Center, Providence, Rhode Island, USA
| | - Amy L Mochel
- Long Term Services and Supports Center of Innovation, Providence VA Medical Center, Providence, Rhode Island, USA
| | - Kate H Magid
- Rocky Mountain Regional VA Medical Center, Aurora, Colorado, USA
| | - Cari Levy
- Rocky Mountain Regional VA Medical Center, Aurora, Colorado, USA.,Division of Geriatric Medicine, University of Colorado School of Medicine, Aurora, Colorado, USA
| | - Vincent Mor
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island, USA.,Long Term Services and Supports Center of Innovation, Providence VA Medical Center, Providence, Rhode Island, USA
| |
Collapse
|
13
|
Narh-Bana SA, Chirwa TF, Chirwa ED, Bonsu F, Ibisomi L, Kawonga M. Adherence of HIV clinics to guidelines for the delivery of TB screening among people living with HIV/AIDS in Ghana. BMC Health Serv Res 2021; 21:1110. [PMID: 34656125 PMCID: PMC8520611 DOI: 10.1186/s12913-021-07121-9] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/19/2021] [Accepted: 09/28/2021] [Indexed: 12/26/2022] Open
Abstract
Background Tuberculosis screening of people living with HIV (PLHIV) – an intervention to reduce the burden of TB among PLHIV – is being implemented at HIV clinics in Ghana since 2007, but TB screening coverage remains low. Facility adherence to intervention guidelines may be a factor but is missing in implementation science literature. This study assesses the level of HIV clinic adherence to the guidelines and related facility characteristics in selected district hospitals in Ghana. Methods This cross-sectional study was conducted in all 27 district hospitals with HIV clinics, X-ray and geneXpert machines in Ghana. These hospitals are in 27 districts representing about 27% of the 100 district hospitals with HIV clinics in Ghana. A data collection tool with 18-items (maximum score of 29) was developed from the TB/HIV collaborative guidelines to assess facility adherence to four interrelated components of the TB screening programme as stated in the guidelines: intensive TB case-finding among PLHIV (ITCF), Isoniazid preventive therapy initiation (IPT), TB infection control (TIC), and programme review meetings (PRM). Data were collected through record review and interviews with 27 key informants from each hospital. Adherence scores per component were summed to determine an overall adherence score per facility and summarized using medians and converted to proportions. Facility characteristics were assessed and compared across facilities with high (above median) versus low (below median) overall adherence scores, using nonparametric test statistics. Results From the 27 key interviews and facility records reviewed, the median adherence scores for ITCF, IPT, TIC, and PRM components were 85.7% (IQR: 85.5–100.0), 0% (IQR: 0–66.7), 33.3% (IQR: 33.3–50.0), and 90.0% (IQR: 70.0–90.0), respectively. The overall median adherence score was 62.1% (IQR: 58.6–65.1), and 17 clinics (63%) with overall adherence score above the median were categorized as high adherence. Compared to low adherence facilities, high adherence facilities had statistically significant lower PLHIV clinic attendees per month (256 (IQR: 60–904) vs. 900 (IQR: 609–2622); p = 0.042), and lower HIV provider workloads (28.6 (IQR: 8.6–113) vs. 90 (IQR: 66.7–263.5); p = 0.046), and most had screening guidelines (76%, p < 0.01) and questionnaire (80%, p < 0.01) available on-site. Conclusion PRM had highest score while the IPT component had the lowest score. Almost a third of the facilities implemented the TB screening programme activities with a high level of adherence to the guidelines. We suggest to ensure adherence to all four components, reducing staff workloads and making TB screening questionnaires and guidelines available on-site would increase facility adherence to the intervention and ultimately achieve intervention targets. Supplementary Information The online version contains supplementary material available at 10.1186/s12913-021-07121-9.
Collapse
Affiliation(s)
- Solomon A Narh-Bana
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa. .,Dodowa Health Research Centre, Research and Development Division, Ghana Health Service, Dodowa, Ghana.
| | - Tobias F Chirwa
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa
| | - Esnat D Chirwa
- Gender & Health Research Unit, Medical Research Council, Johannesburg, South Africa
| | | | - Latifat Ibisomi
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Nigerian Institute of Medical Research, Yaba, Lagos, Nigeria
| | - Mary Kawonga
- School of Public Health, Faculty of Health Sciences, University of the Witwatersrand, Johannesburg, South Africa.,Department of Community Health, Charlotte Maxeke Johannesburg Academic Hospital, Johannesburg, South Africa
| |
Collapse
|
14
|
Thomas KS, Wretman CJ, Sloane PD, Carder P, Schwartz L, Beeber AS, Zimmerman S. To What Extent Do Local Nursing Home Prescribing Patterns Relate to Psychotropic Prescribing in Assisted Living? J Am Med Dir Assoc 2021; 22:1813-1818.e3. [PMID: 33382990 DOI: 10.1016/j.jamda.2020.11.037] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/13/2020] [Revised: 11/20/2020] [Accepted: 11/23/2020] [Indexed: 10/22/2022]
Abstract
OBJECTIVE In nursing homes (NHs), psychoactive medication use has received notable attention, but less is known about prescribing in assisted living (AL). This study examined how antipsychotic and antianxiety medication prescribing in AL compares with NHs. DESIGN Observational, cross-sectional AL data linked to publicly reported NH measures. SETTING AND PARTICIPANTS Random sample of 250 AL communities and the full sample of 3371 NHs in 7 states. METHODS We calculated the percentage of residents receiving antipsychotics and antianxiety medications. For each AL community, we calculated the distance to NHs in the state. Linear models estimated the relationship between AL prescribing and that of the closest and farthest 5 NHs, adjusting for AL characteristics and state fixed effects. RESULTS The prescribing rate of potentially inappropriate antipsychotics (i.e., excluding for persons with recorded schizophrenia and Tourette syndrome) and of antianxiety medications (excluding for those on hospice) in AL was 15% and 21%, respectively. Unadjusted mean antipsychotic prescribing rates were nominally higher in AL than NHs (14.8% vs 14.6%; P = .056), whereas mean antianxiety prescribing was nominally lower in AL (21.2% vs 22.6%; P = .032). In adjusted analyses, AL rates of antipsychotic use were not associated with NH rates. However, being affiliated with an NH was associated with a lower rate of antipsychotic use [b = -0.03; 95% confidence interval (CI) -0.50 to -0.001; P = .043], whereas antianxiety rates were associated with neighboring NHs' prescribing rates (b = 0.43; 95% CI 0.16-0.70; P = .002). CONCLUSIONS AND IMPLICATIONS This study suggests reducing antipsychotic medication use in NHs may influence AL practices in a way not accounted for by local NH patterns. And, because antianxiety medications have not been the focus of national campaigns, they may be more subject to local prescribing behaviors. It seems advantageous to consider prescribing in AL when efforts are implemented to change NH prescribing, as there seems to be related influence whether by affiliation or region.
Collapse
Affiliation(s)
- Kali S Thomas
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, RI, USA; Center of Innovation in Long-Term Services and Supports, U.S. Department of Veterans Affairs Medical Center, Providence, RI, USA.
| | - Christopher J Wretman
- The Cecil G. Sheps Center for Health Services Research; School of Social Work; University of North Carolina at Chapel Hill, NC, USA
| | - Philip D Sloane
- The Cecil G. Sheps Center for Health Services Research; School of Social Work; University of North Carolina at Chapel Hill, NC, USA
| | - Paula Carder
- OHSU-PSU School of Public Health, Portland State University, Portland, OR, USA
| | - Lindsay Schwartz
- Center for Health Policy Evaluation in Long-Term Care; American Health Care Association/National Center for Assisted Living, Washington, DC, USA
| | - Anna S Beeber
- The Cecil G. Sheps Center for Health Services Research; School of Social Work; University of North Carolina at Chapel Hill, NC, USA
| | - Sheryl Zimmerman
- The Cecil G. Sheps Center for Health Services Research; School of Social Work; University of North Carolina at Chapel Hill, NC, USA
| |
Collapse
|
15
|
Resnick B, Kolanowski A, Van Haitsma K, Galik E, Boltz M, Ellis J, Behrens L, Eshraghi K, Zhu S. Current Psychotropic Medication Use and Contributing Factors Among Nursing Home Residents With Cognitive Impairment. Clin Nurs Res 2021; 30:59-69. [PMID: 30943786 PMCID: PMC6776729 DOI: 10.1177/1054773819838678] [Citation(s) in RCA: 13] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/15/2022]
Abstract
This study described current use and predictors of psychotropics among residents with moderate to severe cognitive impairment. This was a secondary data analysis using baseline data from the first 341 residents in an ongoing trial. Predictive measures included age, gender, race, depressive symptoms, agitation, resistiveness to care, depression, cognition, pain, comorbidities, facility factors, and state. Overall 63% (n = 211) received at least one psychotropic medication, 16% (n = 52) an anti-seizure medication, 23% (n = 77) an anxiolytic, 30% (n = 99) an antidepressant, 2% (n = 8) a sedative hypnotic, 28% (n = 93) an antipsychotic medication, and 9% (n = 29) an opioid. Testing of models explained 9% to 15% of psychotropic medication use. There were high rates of psychotropic medication use and a limited association between demographic factors, behavioral symptoms, and psychotropic medication use. Continued research is needed to explore the impact of deprescribing, person-centered behavioral interventions, and beliefs of providers on psychotropic medication use.
Collapse
Affiliation(s)
| | - Ann Kolanowski
- Pennsylvania State University College of Nursing, University Park, USA
| | | | | | - Marie Boltz
- Pennsylvania State University College of Nursing, University Park, USA
| | - Jeanette Ellis
- University of Maryland School of Nursing, Baltimore, USA
| | - Liza Behrens
- Pennsylvania State University College of Nursing, University Park, USA
| | - Karen Eshraghi
- Pennsylvania State University College of Nursing, University Park, USA
| | - Shijun Zhu
- University of Maryland School of Nursing, Baltimore, USA
| |
Collapse
|
16
|
Armijo-Olivo S, Craig R, Corabian P, Guo B, Souri S, Tjosvold L. Nursing Staff Time and Care Quality in Long-Term Care Facilities: A Systematic Review. THE GERONTOLOGIST 2020; 60:e200-e217. [PMID: 31115444 DOI: 10.1093/geront/gnz053] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/27/2018] [Indexed: 11/12/2022] Open
Abstract
BACKGROUND AND OBJECTIVES In long-term care (LTC) facilities, nursing staff are important contributors to resident care and well-being. Despite this, the relationships between nursing staff coverage, care hours, and quality of resident care in LTC facilities are not well understood and have implications for policy-makers. This systematic review summarizes current evidence on the relationship between nursing staff coverage, care hours, and quality of resident care in LTC facilities. RESEARCH DESIGN AND METHODS A structured literature search was conducted using four bibliographic databases and gray literature sources. Abstracts were screened by two independent reviewers using Covidence software. Data from the included studies were summarized using a pretested extraction form. The studies were critically appraised, and their results were synthesized narratively. RESULTS The systematic searched yielded 15,842 citations, of which 54 studies (all observational) were included for synthesis. Most studies (n = 53, 98%) investigated the effect of nursing staff time on resident care. Eleven studies addressed minimum care hours and quality of care. One study examined the association between different nursing staff coverage models and resident outcomes. Overall, the quality of the included studies was poor. DISCUSSION AND IMPLICATIONS Because the evidence was inconsistent and of low quality, there is uncertainty about the direction and magnitude of the association between nursing staff time and type of coverage on quality of care. More rigorously designed studies are needed to test the effects of different cutoffs of care hours and different nursing coverage models on the quality of resident care in LTC facilities.
Collapse
Affiliation(s)
- Susan Armijo-Olivo
- Institute of Health Economics (IHE), Edmonton, Alberta, Canada.,Faculty of Rehabilitation Medicine, Department of Physical Therapy/Faculty of Medicine and Dentistry, University of Alberta, Edmonton, Canada
| | - Rodger Craig
- Institute of Health Economics (IHE), Edmonton, Alberta, Canada
| | - Paula Corabian
- Institute of Health Economics (IHE), Edmonton, Alberta, Canada
| | - Bing Guo
- Institute of Health Economics (IHE), Edmonton, Alberta, Canada
| | - Sepideh Souri
- Institute of Health Economics (IHE), Edmonton, Alberta, Canada
| | - Lisa Tjosvold
- Institute of Health Economics (IHE), Edmonton, Alberta, Canada.,John W. Scott Health Sciences Library, University of Alberta, Edmonton, Canada
| |
Collapse
|
17
|
Fashaw S, Chisholm L, Mor V, Meyers DJ, Liu X, Gammonley D, Thomas K. Inappropriate Antipsychotic Use: The Impact of Nursing Home Socioeconomic and Racial Composition. J Am Geriatr Soc 2020; 68:630-636. [PMID: 31967325 PMCID: PMC7110922 DOI: 10.1111/jgs.16316] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/15/2019] [Revised: 12/01/2019] [Accepted: 12/12/2019] [Indexed: 11/29/2022]
Abstract
OBJECTIVES Previous research suggests black nursing home (NH) residents are more likely to receive inappropriate antipsychotics. Our aim was to examine how NH characteristics, particularly the racial and socioeconomic composition of residents, are associated with the inappropriate use of antipsychotics. DESIGN This study used a longitudinal approach to examine national data from Long-Term Care: Facts on Care in the US (LTCFocUS.org) between 2000 and 2015. We used a multivariate linear regression model with year and state fixed effects to estimate the prevalence of inappropriate antipsychotic use at the NH level. SETTING Free-standing NHs in the United States. PARTICIPANTS The sample consisted of 12 964 NHs. MEASUREMENTS The outcome variable was inappropriate antipsychotic use at the facility level. The primary indicator variables were whether a facility had high proportions of black residents and the percentage of residents with Medicaid as their primary payer. RESULTS NHs with high and low proportions of blacks had similar rates of antipsychotic use in the unadjusted analyses. NHs with high proportions of black residents had significantly lower rates of inappropriate antipsychotic use (β = -2; P < .001) in the adjusted analyses. Facilities with high proportions of Medicaid-reliant residents had higher proportions of inappropriate use (β = .04; P < .001). CONCLUSION Findings from this study indicate a decline in the use of antipsychotics. Although findings from this study indicated facilities with higher proportions of blacks had lower inappropriate antipsychotic use, facility-level socioeconomic disparities continued to persist among NHs. Policy interventions that focus on reimbursement need to be considered to promote reductions in antipsychotic use, specifically among Medicaid-reliant NHs. J Am Geriatr Soc 68:630-636, 2020.
Collapse
Affiliation(s)
- Shekinah Fashaw
- Center for Gerontology and Healthcare Research, School of Public Health, Brown University, Providence, Rhode Island
- Department of Health Services, Policy, and Practice, School of Public Health, Brown University, Providence, Rhode Island
| | - Latarsha Chisholm
- Department of Health Management & Informatics, College of Community Innovation and Education, University of Central Florida, Orlando, Florida
| | - Vincent Mor
- Center for Gerontology and Healthcare Research, School of Public Health, Brown University, Providence, Rhode Island
- Department of Health Services, Policy, and Practice, School of Public Health, Brown University, Providence, Rhode Island
- Center of Innovation in Long-Term Services and Supports, U.S. Department of Veterans Affairs Medical Center, Providence, Rhode Island
| | - David J Meyers
- Center for Gerontology and Healthcare Research, School of Public Health, Brown University, Providence, Rhode Island
- Department of Health Services, Policy, and Practice, School of Public Health, Brown University, Providence, Rhode Island
| | - Xinliang Liu
- Department of Health Management & Informatics, College of Community Innovation and Education, University of Central Florida, Orlando, Florida
| | - Denise Gammonley
- School of Social Work, College of Health Professions and Sciences, University of Central Florida, Orlando, Florida
| | - Kali Thomas
- Center for Gerontology and Healthcare Research, School of Public Health, Brown University, Providence, Rhode Island
- Department of Health Services, Policy, and Practice, School of Public Health, Brown University, Providence, Rhode Island
- Center of Innovation in Long-Term Services and Supports, U.S. Department of Veterans Affairs Medical Center, Providence, Rhode Island
| |
Collapse
|
18
|
Langford AV, Chen TF, Roberts C, Schneider CR. Measuring the impact of system level strategies on psychotropic medicine use in aged care facilities: A scoping review. Res Social Adm Pharm 2019; 16:746-759. [PMID: 31473109 DOI: 10.1016/j.sapharm.2019.08.035] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/22/2019] [Revised: 08/05/2019] [Accepted: 08/19/2019] [Indexed: 11/19/2022]
Abstract
BACKGROUND Psychotropic medication use in the elderly population is associated with significant adverse effects. Robust evidence for the efficacy of psychotropic medications for behavioural and psychological symptoms of dementia is lacking. Despite national bodies, governments, and policymakers employing interventions to optimise the use of psychotropic medicines in this population, there is little research on their overall impact. OBJECTIVE To identify and categorise system level strategies that have been implemented internationally and assess their impact on psychotropic medicine use in aged care facilities. METHODS A systematic search of health-related databases including Medline, Embase, CINAHL, Web of Science and Scopus was performed. Empirical studies published in English prior to March 2019 that reported on the impact of system level strategies on psychotropic medicine use in aged care facilities were included. Studies were mapped to the RE-AIM (Reach, Effectiveness, Adoption, Implementation, Maintenance) framework to measure impact and were assessed for risk of bias. RESULTS This review identified 36 studies which examined mandatory (n = 22) and non-mandatory (n = 14) system level strategies. The impact of strategies was highly dependent on implementation as well as organisational and patient factors. Mandatory strategies had greater evidence of impact on drug utilisation patterns compared to non-mandatory strategies which primarily focussed on adoption and implementation, rather than outcomes. The Omnibus Budget Reconciliation Act 1987 (OBRA-87) in the United States of America had the greatest reach and implementation of the interventions examined, with an observed reduction in psychotropic medicine use post-implementation. There was no substantive body of evidence reporting on the sustainability of strategies or the influence of cost on outcomes. CONCLUSIONS Despite the implementation of system level strategies, psychotropic medicine use in aged care facilities remains problematic. There is a need for revised or novel system level strategies which consider sustainability, economic influences and patient outcomes in their design and implementation.
Collapse
Affiliation(s)
- Aili V Langford
- The University of Sydney School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, 2006, Australia.
| | - Timothy F Chen
- The University of Sydney School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, 2006, Australia.
| | - Chris Roberts
- The University of Sydney School of Medicine, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, 2006, Australia.
| | - Carl R Schneider
- The University of Sydney School of Pharmacy, Faculty of Medicine and Health, The University of Sydney, Sydney, NSW, 2006, Australia.
| |
Collapse
|
19
|
Bosco E, Zullo AR, McConeghy KW, Moyo P, van Aalst R, Chit A, Mor V, Gravenstein S. Long-term Care Facility Variation in the Incidence of Pneumonia and Influenza. Open Forum Infect Dis 2019; 6:ofz230. [PMID: 31214626 PMCID: PMC6565378 DOI: 10.1093/ofid/ofz230] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/07/2019] [Accepted: 05/14/2019] [Indexed: 02/02/2023] Open
Abstract
Background Pneumonia and influenza (P&I) increase morbidity and mortality among older adults, especially those residing in long-term care facilities (LTCFs). Facility-level characteristics may affect the risk of P&I beyond resident-level risk factors. However, the relationship between facility characteristics and P&I is poorly understood. To address this, we identified potentially modifiable facility-level characteristics that influence the incidence of P&I across LTCFs. Methods We conducted a retrospective cohort study using 2013-2015 Medicare claims linked to Minimum Data Set and LTCF-level data. Short-stay (<100 days) and long-stay (100+ days) LTCF residents were followed for the first occurrence of hospitalization, LTCF discharge, Medicare disenrollment, or death. We calculated LTCF risk-standardized incidence rates (RSIRs) per 100 person-years for P&I hospitalizations by adjusting for over 30 resident-level demographic and clinical covariates using hierarchical logistic regression. Results We included 1 767 241 short-stay (13 683 LTCFs) and 922 863 long-stay residents (14 495 LTCFs). LTCFs with lower RSIRs had more licensed independent practitioners (nurse practitioners or physician assistants) among short-stay (44.9% vs 41.6%, P < .001) and long-stay residents (47.4% vs 37.9%, P < .001), higher registered nurse hours/resident/day among short-stay and long-stay residents (mean [SD], 0.5 [0.7] vs 0.4 [0.4], P < .001), and fewer residents for whom antipsychotics were prescribed among short-stay (21.4% [11.6%] vs 23.6% [13.2%], P < .001) and long-stay residents (22.2% [14.3%] vs 25.5% [15.0%], P < .001). Conclusions LTCF characteristics may play an important role in preventing P&I hospitalizations. Hiring more registered nurses and licensed independent practitioners, increasing staffing hours, and higher-quality care practices may be modifiable means of reducing P&I in LTCFs.
Collapse
Affiliation(s)
- Elliott Bosco
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island.,Center for Gerontology and Health Care Research, School of Public Health, Brown University School of Public Health, Providence, Rhode Island
| | - Andrew R Zullo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island.,Center for Gerontology and Health Care Research, School of Public Health, Brown University School of Public Health, Providence, Rhode Island.,Department of Epidemiology, Brown University School of Public Health, Providence, Rhode Island.,Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, Rhode Island
| | - Kevin W McConeghy
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island.,Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, Rhode Island
| | - Patience Moyo
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island.,Center for Gerontology and Health Care Research, School of Public Health, Brown University School of Public Health, Providence, Rhode Island
| | - Robertus van Aalst
- Sanofi Pasteur, Swiftwater, Pennsylvania.,Department of Health Sciences, University of Groningen, University Medical Center Groningen, Groningen, the Netherlands
| | - Ayman Chit
- Sanofi Pasteur, Swiftwater, Pennsylvania.,Leslie Dan School of Pharmacy, University of Toronto, Ontario, Canada
| | - Vincent Mor
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island.,Center for Gerontology and Health Care Research, School of Public Health, Brown University School of Public Health, Providence, Rhode Island.,Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, Rhode Island
| | - Stefan Gravenstein
- Department of Health Services, Policy, and Practice, Brown University School of Public Health, Providence, Rhode Island.,Center for Gerontology and Health Care Research, School of Public Health, Brown University School of Public Health, Providence, Rhode Island.,Center of Innovation in Long-Term Services and Supports, Providence Veterans Affairs Medical Center, Providence, Rhode Island
| |
Collapse
|
20
|
Simmons SF, Bonnett KR, Hollingsworth E, Kim J, Powers J, Habermann R, Newhouse P, Schlundt DG. Reducing Antipsychotic Medication Use in Nursing Homes: A Qualitative Study of Nursing Staff Perceptions. THE GERONTOLOGIST 2018; 58:e239-e250. [PMID: 28575301 DOI: 10.1093/geront/gnx083] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2017] [Indexed: 11/12/2022] Open
Abstract
Background and Objectives The purpose of this study was to use qualitative methods to explore nursing home staff perceptions of antipsychotic medication use and identify both benefits and barriers to reducing inappropriate use from their perspective. Research Design and Methods Focus groups were conducted with a total of 29 staff in three community nursing homes that served both short and long-stay resident populations. Results The majority (69%) of the staff participants were licensed nurses. Participants expressed many potential benefits of antipsychotic medication reduction with four primary themes: (a) Improvement in quality of life, (b) Improvement in family satisfaction, (c) Reduction in falls, and (d) Improvement in the facility Quality Indicator score (regulatory compliance). Participants also highlighted important barriers they face when attempting to reduce or withdraw antipsychotic medications including: (a) Family resistance, (b) Potential for worsening or return of symptoms or behaviors, (c) Lack of effectiveness and/or lack of staff resources to consistently implement nonpharmacological management strategies, and (d) Risk aversion of staff and environmental safety concerns. Discussion and Implications Nursing home staff recognize the value of reducing antipsychotic medications; however, they also experience multiple barriers to reduction in routine clinical practice. Achievement of further reductions in antipsychotic medication use will require significant additional efforts and adequate clinical personnel to address these barriers.
Collapse
Affiliation(s)
- Sandra F Simmons
- Center for Quality Aging, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.,Division of Geriatrics, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.,Geriatric Research, Education and Clinical Center (GRECC), VA Tennessee Valley Healthcare System, Nashville
| | | | - Emily Hollingsworth
- Center for Quality Aging, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.,Division of Geriatrics, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Jennifer Kim
- School of Nursing, Vanderbilt University, Nashville, Tennessee
| | - James Powers
- Division of Geriatrics, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN.,Geriatric Research, Education and Clinical Center (GRECC), VA Tennessee Valley Healthcare System, Nashville
| | - Ralf Habermann
- Division of Geriatrics, Department of Medicine, Vanderbilt University Medical Center, Nashville, TN
| | - Paul Newhouse
- Geriatric Research, Education and Clinical Center (GRECC), VA Tennessee Valley Healthcare System, Nashville.,Center for Cognitive Medicine, Department of Psychiatry and Behavioral Sciences, Vanderbilt University Medical Center, Nashville, Tennessee
| | - David G Schlundt
- Department of Psychology, Vanderbilt University, Nashville, Tennessee
| |
Collapse
|
21
|
Phillips LJ, Birtley NM, Petroski GF, Siem C, Rantz M. An observational study of antipsychotic medication use among long-stay nursing home residents without qualifying diagnoses. J Psychiatr Ment Health Nurs 2018; 25:463-474. [PMID: 29911331 DOI: 10.1111/jpm.12488] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/11/2018] [Revised: 06/09/2018] [Accepted: 06/14/2018] [Indexed: 01/21/2023]
Abstract
UNLABELLED WHAT IS KNOWN ON THE SUBJECT?: In the United States, 15.5% of nursing home residents without qualifying diagnoses of schizophrenia, Huntington's' Disease, and/or Tourette Syndrome receive antipsychotic medications. Antipsychotic medications are used off-label (i.e., used in a manner the United States Food and Drug Administration's packaging insert does not specify) to treat neuropsychiatric symptoms, often before attempting nonpharmacologic interventions, despite evidence that this drug class is associated with significant adverse events including death. Less than optimal staffing resources and lack of access to geropsychiatric specialists are barriers to reducing antipsychotic use. WHAT THE PAPER ADDS TO EXISTING KNOWLEDGE?: Antipsychotic use occurred in 11.6% of nursing home residents without qualifying or potentially qualifying diagnoses (bipolar disorder and psychotic disorder); antipsychotic use was more prevalent in residents with a dementia diagnosis than those without. One additional registered nurse hour per resident day could reduce the odds of antipsychotic use by 52% and 56% for residents with and without a dementia diagnosis respectively. WHAT ARE THE IMPLICATIONS FOR PRACTICE?: Given the influence of total staffing and professional staff mix on risk of antipsychotic use, nursing home administrators may want to consider aspects of facility operation that impact antipsychotic use. More stringent Unites States' survey and certification standards for dementia care implemented in 2017 demand proactive person-centered care that promotes maximal well-being and functioning without risk of harm from inappropriate psychoactive medications. Mental health nurses have requisite training to provide expert person-centered care to nursing home residents with mental illness and geropsychiatric disorders. ABSTRACT Introduction Antipsychotic use in nursing homes varies widely across the United States; inadequate staffing, skill mix, and geropsychiatric training impede sustained improvement. Aim This study identified risk factors of antipsychotic use in long-stay residents lacking qualifying or potentially qualifying diagnoses. Method This secondary analysis used 2015 Minimum Data Set and cost report data from 458 Missouri nursing homes. The full sample (N = 29,679) was split into two subsamples: residents with (N = 15,114) and without (N = 14,565) a dementia diagnosis. Separate logistic regression models were run. Results Almost 15% of the dementia subsample and 8.4% of the nondementia subsample received an antipsychotic medication in the past week. Post-traumatic stress disorder, psychosis indicators, behavioral symptoms, anxiety medication with and without anxiety diagnosis, depression medication with and without depression diagnosis, and nurse staffing were among the strongest predictors of antipsychotic use in both subsamples. Simulation analyses showed decreased odds of receiving an antipsychotic in both subsamples when registered nurse hours matched the national average. Discussion Matching nurse staffing mix to the national average may improve antipsychotic use in nursing homes. Implications Knowledge of antipsychotic use risk factors use can inform care planning and staff education to minimize use of these medications in all but severe cases.
Collapse
Affiliation(s)
| | - Nancy M Birtley
- School of Nursing, University of Missouri, Columbia, Missouri
| | - Gregory F Petroski
- Office of Medical Research, School of Medicine, University of Missouri, Columbia, Missouri
| | - Carol Siem
- School of Nursing, University of Missouri, Columbia, Missouri
| | - Marilyn Rantz
- School of Nursing, University of Missouri, Columbia, Missouri
| |
Collapse
|
22
|
Psychotropic medicines use in Residents And Culture: Influencing Clinical Excellence (PRACTICE) tool ©. A development and content validation study. Res Social Adm Pharm 2018; 15:691-700. [PMID: 30213525 DOI: 10.1016/j.sapharm.2018.08.015] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/04/2018] [Revised: 08/23/2018] [Accepted: 08/29/2018] [Indexed: 11/21/2022]
Abstract
INTRODUCTION Psychotropic medicines are often prescribed in nursing homes to manage behavioral and psychological symptoms of dementia despite marginal clinical effects alongside harmful adverse events. Organizational culture has been identified as a key factor that contributes to the high-level prescribing of psychotropic medicines in nursing homes. There are gaps in existing tools used to link organizational culture to the use of psychotropic medicines. The aim of this research was to develop and content validate a tool that evaluates organizational culture specific to the use of psychotropic medicines, named the Psychotropic medicines use in Residents And Culture: Influencing Clinical Excellence (PRACTICE) tool©. METHODS Schein's theory of organizational culture was used to guide the development and content validation of the PRACTICE tool©. The PRACTICE tool© was developed based on a comprehensive systematic review, qualitative research and generated by the research team. Content validity was assessed using the CVI (Content Validity Index). The content relevance and importance of the PRACTICE tool© items were rated by an expert panel with relevant knowledge and experience. Any modified or re-worded items were presented to the panel members in a subsequent survey for re-rating. RESULTS Across the two rounds, the PRACTICE tool© had 68 items that assessed all aspects of culture according to Schein's theory. Sixty-two items out of 68 (91%) met predefined cut-off values (≥0.78) for the I -CVI. The remaining six items (9%) did not fully meet the cut-off values but were deemed important to be included in the tool based on the systematic review, qualitative research and discussions with the research team. CONCLUSIONS The PRACTICE tool© is a step forward in validating an instrument that will help inform managers and policy makers to identify target areas for improvement to create a culture of appropriate psychotropic prescribing in nursing homes.
Collapse
|
23
|
Temkin-Greener H, Campbell L, Cai X, Hasselberg MJ, Li Y. Are Post-Acute Patients with Behavioral Health Disorders Admitted to Lower-Quality Nursing Homes? Am J Geriatr Psychiatry 2018; 26:643-654. [PMID: 29576229 DOI: 10.1016/j.jagp.2018.02.005] [Citation(s) in RCA: 24] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 11/10/2017] [Revised: 02/15/2018] [Accepted: 02/17/2018] [Indexed: 11/15/2022]
Abstract
OBJECTIVES We measured the proportion of new post-acute nursing home admissions with behavioral health diagnoses and examined whether patients with these disorders (schizophrenia/psychosis, bipolar, depression/anxiety, personality disorder, and substance abuse) faced disparities in access to high quality facilities. SETTING/PARTICIPANTS The analytical sample included 3,729,282 admissions to 15,600 facilities nationwide for 2012-2014. MEASUREMENT Quality was measured for overall and staffing domains reported by the Centers for Medicare and Medicaid Services in the Five-Star Quality Rating System. Multinomial logistic regression models were used. The base model included the diagnostic groups of interest and state dummies. Patient sociodemographics, functional and cognitive status, and comorbid conditions were sequentially added to the base model to determine the independent effect of having a behavioral health diagnosis at admission. RESULTS Patients with these conditions experienced disparities accessing to high-quality homes compared to patients without. For example, patients with depression/anxiety had lower access to five-star homes, for the staffing quality domain (Model 3 ORs = 0.88, 0.93, 0.92 in years 1 through 3, respectively) compared to patients with no behavioral health diagnosis. Access disparities were faced not only by patients with serious mental illness, as previously demonstrated, but also patients with substance abuse and with depression/anxiety who account for one-third of all new admissions. CONCLUSIONS Our findings demonstrate persistence of disparities in access to high quality facilities over time and for patients with a broad range of behavioral health conditions. Further research is needed to understand the impact of these disparities on outcomes of patients with behavioral disorders.
Collapse
Affiliation(s)
- Helena Temkin-Greener
- Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY.
| | | | - Xuyea Cai
- Department of Biostatistics and Computational Biology, University of Rochester School of Medicine and Dentistry, Rochester, NY
| | - Michael J Hasselberg
- Department of Psychiatry, University of Rochester School of Medicine and Dentistry, Rochester, NY
| | - Yue Li
- Department of Public Health Sciences, University of Rochester School of Medicine and Dentistry, Rochester, NY
| |
Collapse
|
24
|
Ludwin BM, Meeks S. Psychological factors related to nurses' intentions to initiate an antipsychotic or psychosocial intervention with nursing home residents. Geriatr Nurs 2018; 39:584-592. [PMID: 29731390 DOI: 10.1016/j.gerinurse.2018.04.005] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/16/2018] [Revised: 03/30/2018] [Accepted: 04/09/2018] [Indexed: 10/17/2022]
Abstract
This study examined the validity of a psychological model for understanding nursing home providers' treatment choices when managing challenging dementia-related behaviors. Ninety-nine nurses from 26 long-term care facilities responded to a case study with their intentions to initiate an antipsychotic or psychosocial intervention and completed self-report measures of their attitudes, descriptive norms, self-efficacy, and outcome expectancies. The multi-level modeling results demonstrated that nurses with more positive outcome expectancies for the effect of an antipsychotic on resident behavior, and those with more positive attitudes towards antipsychotics, had greater intentions to initiate an antipsychotic. Intentions to initiate a psychosocial intervention were greater when nurses perceived a lower prevalence of antipsychotics and in facilities with nurses who collectively had higher self-efficacy to implement such interventions. The findings offer partial support for the proposed model and possible intervention targets to improve psychosocial intervention use and antipsychotic prescribing.
Collapse
Affiliation(s)
- Brian M Ludwin
- Department of Psychological and Brain Sciences, University of Louisville, Louisville, KY 40292, USA; VA New England GRECC, 200 Springs Rd, Bedford, MA 01730, USA.
| | - Suzanne Meeks
- VA New England GRECC, 200 Springs Rd, Bedford, MA 01730, USA
| |
Collapse
|
25
|
Sawan M, Jeon YH, Chen TF. Relationship between Organizational Culture and the Use of Psychotropic Medicines in Nursing Homes: A Systematic Integrative Review. Drugs Aging 2018; 35:189-211. [DOI: 10.1007/s40266-018-0527-5] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 02/01/2023]
|
26
|
Zhang Y, Letuchy EM, Carnahan RM. Where Are Antipsychotics Prescribed in Nursing Homes Initiated? J Am Geriatr Soc 2018; 66:1082-1088. [PMID: 29355891 PMCID: PMC6935510 DOI: 10.1111/jgs.15223] [Citation(s) in RCA: 11] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
OBJECTIVES To describe the settings of care in which antipsychotics that nursing home (NH) residents received were likely to have been initiated. DESIGN Cross-sectional. SETTING Iowa NHs. PARTICIPANTS Fee-for-service Medicare beneficiaries who had NH stays between January 1, 2011, and December 31, 2014, and had new use of antipsychotics during their NH stays, defined as no antipsychotic use in NHs in the last 6 months. MEASUREMENTS A linked dataset of Chronic Condition Data Warehouse Medicare claims and Long-Term Care Minimum Data Set (MDS) 3.0 was used to determine care settings of antipsychotic initiations. RESULTS Of 7,496 residents with new antipsychotic use in NHs, 4,794 (64.0%, 95% confidence interval (CI) = 62.9-65.0%) initiated them in NHs, 1,392 (18.6%, 95% CI 17.7-19.5%) appeared to have had them initiated in hospitals, and 1,310 (17.5%, 95% CI = 16.6-18.3%) had antipsychotics first dispensed as outpatients. Antipsychotics were commonly prescribed during the early NH stays, and 3,026 (40.4%, 95% CI = 39.3-41.5%) of the entire sample received antipsychotic therapy within the first 7 days after NH admissions. Fifty-eight percent (n = 4,348) of the study residents initiating antipsychotics had potentially appropriate antipsychotic indications according toMDS records. CONCLUSION Most residents initiated antipsychotic therapy in NHs, confirming that NH providers are appropriate primary target of interventions to reduce antipsychotic initiation in their residents. However, many antipsychotics were continued from other settings, indicating a need to evaluate the necessity of continued antipsychotic treatment after such transitions of care. J Am Geriatr Soc 66:1082-1088: 2018.
Collapse
Affiliation(s)
- Yan Zhang
- From the Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, Iowa
| | - Elena M Letuchy
- From the Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, Iowa
| | - Ryan M Carnahan
- From the Department of Epidemiology, College of Public Health, University of Iowa, Iowa City, Iowa
| |
Collapse
|
27
|
Reichert AR, Stroka MA. Nursing home prices and quality of care - Evidence from administrative data. HEALTH ECONOMICS 2018; 27:129-140. [PMID: 28512768 DOI: 10.1002/hec.3518] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Received: 12/20/2015] [Revised: 03/12/2017] [Accepted: 03/24/2017] [Indexed: 06/07/2023]
Abstract
There is widespread concern about the quality of care in nursing homes. On the basis of administrative data of a large health insurance fund, we investigate whether nursing home prices are associated with relevant quality of care indicators at the resident level. Our results indicate negative associations between price and both inappropriate and psychotropic medication. In contrast, we do not find any relationship between the price and impairments of physical health.
Collapse
Affiliation(s)
| | - Magdalena A Stroka
- RWI - Leibniz-Institut für Wirtschaftsforschung, Essen, Germany
- Hochschule des Bundes für öffentliche Verwaltung, Brühl, Germany
- Wissenschaftlichen Instituts der TK für Nutzen und Effizienz im Gesundheitswesen, Hamburg, Germany
| |
Collapse
|
28
|
Bliss DZ, Mathiason MA, Gurvich O, Savik K, Eberly LE, Fisher J, Wiltzen KR, Akermark H, Hildebrandt A, Jacobson M, Funk T, Beckman A, Larson R. Incidence and Predictors of Incontinence-Associated Skin Damage in Nursing Home Residents With New-Onset Incontinence. J Wound Ostomy Continence Nurs 2017; 44:165-171. [PMID: 28267124 DOI: 10.1097/won.0000000000000313] [Citation(s) in RCA: 31] [Impact Index Per Article: 4.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/25/2022]
Abstract
PURPOSE The purpose of this study was to determine the incidence and predictors of incontinence-associated dermatitis (IAD) in nursing home residents. METHODS Records of a cohort of 10,713 elderly (≥65 years) newly incontinent nursing home residents in 448 nursing homes in 28 states free of IAD were followed up for IAD development. Potential multilevel predictors of IAD were identified in 4 national datasets containing information about the characteristics of individual nursing home residents, nursing home care environment, and communities in which the nursing homes were located. A unique set of health practitioner orders provided information about IAD and the predictors of IAD prevention and pressure injuries in the extended perineal area. Analysis was based on hierarchical logistical regression. RESULTS The incidence of IAD was 5.5%. Significant predictors of IAD were not receiving preventive interventions for IAD, presence of a perineal pressure injury, having greater functional limitations in activities of daily living, more perfusion problems, and lesser cognitive deficits. CONCLUSION Findings highlight the importance of prevention of IAD and treatment/prevention of pressure injuries. A WOC nurse offers expertise in these interventions and can educate staff about IAD predictors, which can improve resident outcomes. Other recommendations include implementing plans of care to improve functional status, treat perfusion problems, and provide assistance with incontinence and skin care to residents with milder as well as greater cognitive deficits.
Collapse
Affiliation(s)
- Donna Z Bliss
- Donna Z. Bliss, PhD, RN, FAAN, FGSA, University of Minnesota School of Nursing, Minneapolis, Minnesota. Michelle A. Mathiason, MS, University of Minnesota School of Nursing, Minneapolis, Minnesota. Olga Gurvich, MS, University of Minnesota School of Nursing, Minneapolis, Minnesota. Kay Savik, MS, University of Minnesota School of Nursing, Minneapolis, Minnesota. Lynn E. Eberly, PhD, School of Public Health Division of Biostatistics, Minneapolis, Minnesota. Jessica Fisher, BSN, RN, University of Minnesota School of Nursing, Minneapolis, Minnesota. Kjerstie R. Wiltzen, BSN, BA, RN, University of Minnesota School of Nursing, Minneapolis, Minnesota. Haley Akermark, BSN, RN, University of Minnesota School of Nursing, Minneapolis, Minnesota. Amanda Hildebrandt, BA, University of Minnesota School of Nursing, Minneapolis, Minnesota. Megan Jacobson, BSN, RN, University of Minnesota School of Nursing, Minneapolis, Minnesota. Taylor Funk, BSN, RN, University of Minnesota School of Nursing, Minneapolis, Minnesota. Amanda Beckman, BSN, RN, University of Minnesota School of Nursing, Minneapolis, Minnesota. Reed Larson, BSN, RN, University of Minnesota School of Nursing, Minneapolis, Minnesota
| | | | | | | | | | | | | | | | | | | | | | | | | |
Collapse
|
29
|
Stock KJ, Amuah JE, Lapane KL, Hogan DB, Maxwell CJ. Prevalence of, and Resident and Facility Characteristics Associated With Antipsychotic Use in Assisted Living vs. Long-Term Care Facilities: A Cross-Sectional Analysis from Alberta, Canada. Drugs Aging 2017; 34:39-53. [PMID: 27830567 PMCID: PMC5222893 DOI: 10.1007/s40266-016-0411-0] [Citation(s) in RCA: 22] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
Background Potentially inappropriate antipsychotic use in long-term care (LTC) facilities has been the focus of significant policy and clinical attention over the past 20 years. However, most initiatives aimed at reducing the use of these medications have overlooked assisted living (AL) settings. Objective We sought to compare the prevalence of antipsychotic use (including potentially inappropriate use) among older AL and LTC residents and to explore the resident and facility-level factors associated with use in these two populations. Methods We performed cross-sectional analyses of 1089 residents (mean age 85 years; 77% female) from 59 AL facilities and 1000 residents (mean age 85 years; 66% female) from 54 LTC facilities, in Alberta, Canada. Research nurses completed comprehensive resident assessments at baseline (2006–2007). Facility-level factors were assessed using standardized administrator interviews. Generalized linear models were used to estimate odds ratios for associations, accounting for clustering by facility. Results Over a quarter of residents in AL (26.4%) and LTC (31.8%) were using antipsychotics (p = 0.006). Prevalence of potentially inappropriate use was similar in AL and LTC (23.4 vs. 26.8%, p = 0.09). However, among users, the proportion of antipsychotic use deemed potentially inappropriate was significantly higher in AL than LTC (AL: 231/287 = 80.5%; LTC: 224/318 = 70.4%; p = 0.004). In both settings, comparable findings regarding associations between resident characteristics (including dementia, psychiatric disorders, frailty, behavioral symptoms, and antidepressant use) and antipsychotic use were observed. Few facility characteristics were associated with overall antipsychotic use, but having a pharmacist on staff (AL), or an affiliated physician (LTC) was associated with a lower likelihood of potentially inappropriate antipsychotic use. Conclusion Our findings illustrate the importance of including AL settings in clinical and policy initiatives aimed at reducing inappropriate antipsychotic use among older vulnerable residents. Electronic supplementary material The online version of this article (doi:10.1007/s40266-016-0411-0) contains supplementary material, which is available to authorized users.
Collapse
Affiliation(s)
- Kathryn J Stock
- Schools of Pharmacy and Public Health and Health Systems, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L 3G1, Canada
| | - Joseph E Amuah
- School of Epidemiology, Public Health and Preventive Medicine, University of Ottawa, Ottawa, ON, Canada
| | - Kate L Lapane
- Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester, MA, USA
| | - David B Hogan
- Community Health Sciences and Medicine, University of Calgary, Calgary, AB, Canada
| | - Colleen J Maxwell
- Schools of Pharmacy and Public Health and Health Systems, University of Waterloo, 200 University Avenue West, Waterloo, ON, N2L 3G1, Canada. .,Community Health Sciences and Medicine, University of Calgary, Calgary, AB, Canada. .,Institute for Clinical Evaluative Sciences, Toronto, ON, Canada.
| |
Collapse
|
30
|
Tjia J, Hunnicutt JN, Herndon L, Blanks CR, Lapane KL, Wehry S. Association of a Communication Training Program With Use of Antipsychotics in Nursing Homes. JAMA Intern Med 2017; 177:846-853. [PMID: 28418449 PMCID: PMC5818825 DOI: 10.1001/jamainternmed.2017.0746] [Citation(s) in RCA: 26] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 12/24/2022]
Abstract
IMPORTANCE Off-label antipsychotic prescribing in nursing homes (NHs) is common and is associated with increased risk of mortality in older adults. Prior large-scale, controlled trials in the NH setting failed to show meaningful reductions in antipsychotic use. OBJECTIVE To quantify the influence of a large-scale communication training program on NH antipsychotic use called OASIS. DESIGN, SETTING, AND PARTICIPANTS This investigation was a quasi-experimental longitudinal study of NHs in Massachusetts enrolled in the OASIS intervention. Participants were residents living in NHs between March 1, 2011, and August 31, 2013. The data were analyzed from December 2015, to March 2016, and from November through December 2016. EXPOSURES The OASIS educational program targets all NH staff (direct care and nondirect care) using a train-the-trainer model. The program goals were to reframe challenging behaviors of residents with cognitive impairment as the communication of unmet needs, to train staff to anticipate resident needs, and to integrate resident strengths into daily care plans. MAIN OUTCOMES AND MEASURES This study used an interrupted time series model of facility-level prevalence of antipsychotic medication use, other psychotropic medication use (antidepressants, anxiolytics, and hypnotics), and behavioral disturbances to evaluate the intervention's effectiveness in participating facilities compared with control NHs in Massachusetts and New York. The 18-month preintervention (baseline) period was compared with a 3-month training period, a 6-month implementation period, and a 3-month maintenance period. RESULTS This study included 93 NHs enrolled in the OASIS intervention (27 of which had a high prevalence of antipsychotic use) compared with 831 nonintervention NHs. Among OASIS facilities, prevalences of atypical antipsychotic prescribing were 34.1% at baseline and 26.5% at the study end (absolute reduction of 7.6% and relative reduction of 22.3%) compared with a drop of 22.7% to 18.8% in the comparison facilities (absolute reduction of 3.9% and relative reduction of 17.2%). In the OASIS implementation phase, NHs experienced a reduction in antipsychotic use prevalence among OASIS facilities (-1.20%; 95% CI, -1.85% to -0.09% per quarter) greater than that among non-OASIS facilities (-0.23%; 95% CI, -0.47% to 0.01% per quarter), resulting in a net OASIS influence of -0.97% (95% CI, -1.85% to -0.09%; P = .03). A difference in trend was not sustained in the maintenance phase (difference of 0.93%; 95% CI, -0.66% to 2.54%; P = .48). No increases in other psychotropic medication use or behavioral disturbances were observed. CONCLUSIONS AND RELEVANCE Antipsychotic use prevalence declined during OASIS implementation of the intervention, but the decreases did not continue in the maintenance phase. Other psychotropic medication use and behavioral disturbances did not increase. This study adds evidence for nonpharmacological programs to treat behavioral and psychological symptoms of dementia.
Collapse
Affiliation(s)
- Jennifer Tjia
- Division of Epidemiology of Chronic Diseases and Vulnerable Populations, Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester
| | - Jacob N Hunnicutt
- Division of Epidemiology of Chronic Diseases and Vulnerable Populations, Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester
| | | | | | - Kate L Lapane
- Division of Epidemiology of Chronic Diseases and Vulnerable Populations, Department of Quantitative Health Sciences, University of Massachusetts Medical School, Worcester
| | - Susan Wehry
- Division of Psychiatry, Department of Primary Care, University of New England College of Medicine, Biddeford, Maine
| |
Collapse
|
31
|
Cioltan H, Alshehri S, Howe C, Lee J, Fain M, Eng H, Schachter K, Mohler J. Variation in use of antipsychotic medications in nursing homes in the United States: A systematic review. BMC Geriatr 2017; 17:32. [PMID: 28122506 PMCID: PMC5267409 DOI: 10.1186/s12877-017-0428-1] [Citation(s) in RCA: 42] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/20/2016] [Accepted: 01/19/2017] [Indexed: 11/10/2022] Open
Abstract
BACKGROUND The use of antipsychotic medications (APMs) in nursing home residents in the U.S. is an increasingly prominent issue and has been associated with increased risk of hospitalization, cardiovascular events, hip fractures, and mortality, among other adverse health events. The Food and Drug Administration has placed a black box warning on these drugs, specifying that they are not meant for residents with dementia, and has asked providers to review their treatment plans. The purpose of this systematic PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-analyses)-based review was to summarize original research studies on facility level characteristics contributing to the use of antipsychotics in nursing homes across the United States, in order to investigate the variation of use. METHODS We searched Ovid Medline, Embase, Cochrane Library, Web of Science, CINAHL, PsycInfo, and Sociological Abstracts. Articles were selected according to the following criteria: (1) Population of interest: older adults (≥60 years of age) residing in nursing homes (not home-based or inpatient hospital settings) in the U.S. (2) Receiving APMs, typical and/or atypical. Specifically excluded were studies of psychotropic medications such as antidepressants, benzodiazepines, anxiolytics, hypnotics, mood stabilizers, and stimulants. All study designs were considered, though reviews, editorials, letters to the editor and opinion pieces were excluded. An expert consultant panel was consulted to categorize facility characteristics into domains and determine possible etiologies of APM use based upon each characteristic. RESULTS Nineteen observational studies, both quantitative and qualitative, published from 2000 to 2015, met full inclusion criteria and were included in this review. APM use varied based on multiple facility characteristics across several domains: 1) physical, 2) staffing, 3) occupancy, 4) market, and 5) quality. CONCLUSIONS Variation in use of APMs in U.S. nursing homes based upon facility characteristics exemplifies the need for a more systematic protocol guiding the use of these medications, along with heightened regulatory policies and enforcement.
Collapse
Affiliation(s)
- Hannah Cioltan
- College of Public Health, University of Arizona, Tucson, Arizona, USA.
- Arizona Center on Aging, College of Medicine, University of Arizona, Tucson, Arizona, USA.
| | - Samah Alshehri
- College of Pharmacy, University of Arizona, Tucson, Arizona, USA
| | - Carol Howe
- University of Arizona Health Sciences Library, Tucson, USA
| | - Jeannie Lee
- Arizona Center on Aging, College of Medicine, University of Arizona, Tucson, Arizona, USA
- College of Pharmacy, University of Arizona, Tucson, Arizona, USA
| | - Mindy Fain
- Arizona Center on Aging, College of Medicine, University of Arizona, Tucson, Arizona, USA
- Division of Geriatrics, General Internal Medicine and Palliative Medicine, College of Medicine, University of Arizona, Tucson, Arizona, USA
| | - Howard Eng
- College of Public Health, University of Arizona, Tucson, Arizona, USA
- College of Pharmacy, University of Arizona, Tucson, Arizona, USA
| | - Kenneth Schachter
- College of Public Health, University of Arizona, Tucson, Arizona, USA
| | - Jane Mohler
- College of Public Health, University of Arizona, Tucson, Arizona, USA
- Arizona Center on Aging, College of Medicine, University of Arizona, Tucson, Arizona, USA
- College of Pharmacy, University of Arizona, Tucson, Arizona, USA
- Division of Geriatrics, General Internal Medicine and Palliative Medicine, College of Medicine, University of Arizona, Tucson, Arizona, USA
| |
Collapse
|
32
|
Mansbach WE, Mace RA, Clark KM, Firth IM, Breeden JK. Predicting Off-Label Antipsychotic Medication Use in a Randomly Selected Nursing Home Sample Based on Resident and Facility Characteristics. Res Gerontol Nurs 2016; 9:257-266. [PMID: 27665755 DOI: 10.3928/19404921-20160920-03] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/27/2016] [Accepted: 09/08/2016] [Indexed: 11/20/2022]
Abstract
Reducing off-label antipsychotic medication use for behavioral and psychological symptoms of dementia (BPSD) in nursing home residents has been a centerpiece of government regulation, but without insight into utilization differences based on resident and facility characteristics. To examine whether resident and facility characteristics can predict off-label antipsychotic medication treatment for BPSD, residents prescribed antipsychotic medication (N = 216) from 17 Maryland nursing facilities were randomly selected. Based on physician diagnoses, 59.7% of participants were taking off-label antipsychotic medications for BPSD. Hierarchical logistic regression results suggest that dementia level (indicated by Brief Cognitive Assessment Tool scores) and age, but not facility characteristics, significantly predict greater likelihood of using off-label antipsychotic medications for BPSD. Having moderate-severe dementia was associated with more than a four-fold increase in off-label antipsychotic medication use for BPSD. Off-label use of antipsychotic medications for BPSD remains high, especially for older nursing home residents with more severe dementia, indicating that more targeted reduction approaches are needed. [Res Gerontol Nurs. 2016; 9(6):257-266.].
Collapse
|
33
|
Szczepura A, Wild D, Khan AJ, Owen DW, Palmer T, Muhammad T, Clark MD, Bowman C. Antipsychotic prescribing in care homes before and after launch of a national dementia strategy: an observational study in English institutions over a 4-year period. BMJ Open 2016; 6:e009882. [PMID: 27650756 PMCID: PMC5051335 DOI: 10.1136/bmjopen-2015-009882] [Citation(s) in RCA: 32] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/22/2022] Open
Abstract
OBJECTIVES To assess associations between the launch of the National Dementia Strategy (NDS) and antipsychotic prescribing in long-term residential care (LTC) in England. SETTING AND PARTICIPANTS Retrospective analysis of prescribing patterns in 616 LTC institutions (31 619 residents) following launch of the NDS, using information from electronic medicines management system. PRIMARY AND SECONDARY OUTCOME MEASURES Antipsychotic prescribing point prevalence (PP) for all residents in a cross section of LTC settings over a 4-year period following NDS launch. Secondary outcomes included dosages, length of treatment and use of recommended second-generation antipsychotics (SGAs) versus first-generation antipsychotics (FGAs). Associations between facility-level PP values and institutional characteristics, resident demographics were explored. Variations across geographical areas examined. Prescription net ingredient costs calculated. RESULTS No statistically significant difference was observed in overall prescribing rates over the 4-year period (Kolmogorov-Smirnov (KS) test p=0.60), and there was no significant shift towards newer SGAs (KS test p=0.32). Dosages were above the maximum indicated in only 1.3% of cases, but duration of prescribing was excessive in 69.7% of cases. Care homes in the highest prescribing quintile were more likely to be located in a deprived area (rate ratio (Q5/Q1) RR=5.89, 95% CI 4.35 to 7.99), registered for dementia (RR=3.38, 95% CI 3.06 to 3.73) and those in the lowest quintile were more likely to be served by a single general practitioner (GP) practice (RR=0.48; 95% CI 0.37 to 0.63); p<0.001 all. A sixfold variation in PP levels was observed between geographical areas. The average annual expenditure on antipsychotics was £65.6 per person resident (2012 prices). CONCLUSIONS The NDS in England was not associated with reduced PP levels or the types of antipsychotic prescribing in care homes. Further research is needed to explore why. Clear standards specifying recommended agents, dosages and length of treatment, together with routine monitoring and greater accountability for antipsychotic prescribing, may be required.
Collapse
Affiliation(s)
- Ala Szczepura
- Faculty of Health and Life Sciences, Coventry University, Coventry, UK
| | - Deidre Wild
- Faculty of Health and Life Sciences, Coventry University, Coventry, UK
| | - Amir J Khan
- Faculty of Health and Life Sciences, Coventry University, Coventry, UK
| | - David W Owen
- Institute for Employment Research, University of Warwick, Coventry, UK
| | - Thomas Palmer
- Department Mathematics & Statistics, Lancaster University, Lancaster, UK
| | | | | | - Clive Bowman
- School of Health Sciences, City University London, London, UK
| |
Collapse
|
34
|
Castle NG, Engberg J, Anderson RA. Job Satisfaction of Nursing Home Administrators and Turnover. Med Care Res Rev 2016; 64:191-211. [PMID: 17406020 DOI: 10.1177/1077558706298291] [Citation(s) in RCA: 25] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
We know little about factors associated with job satisfaction and dissatisfaction for nursing home workers. In this investigation, the authors use data from a large sample of nursing home administrators (NHAs) to examine: (1) their levels of job satisfaction, (2) whether job satisfaction is associated with intent to leave, (3) whether job satisfaction is associated with turnover after 1 year, and (4) whether job satisfaction after 1 year varies for NHAs who left based on where they subsequently worked. Overall, NHAs were more satisfied with the job satisfaction subscales of: rewards, work skills, and workload but were less satisfied with work demands and coworkers. NHAs appeared particularly sensitive to work skills, with this area of job satisfaction being associated with intent to turnover and actual turnover. In general, the authors found a stronger association with job satisfaction and actual turnover than with intent to turnover.
Collapse
|
35
|
Hillmer MP, Wodchis WP, Gill SS, Anderson GM, Rochon PA. Nursing Home Profit Status and Quality of Care: Is There Any Evidence of an Association? Med Care Res Rev 2016; 62:139-66. [PMID: 15750174 DOI: 10.1177/1077558704273769] [Citation(s) in RCA: 158] [Impact Index Per Article: 19.8] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022]
Abstract
This article critically reviews the association between the profit status of North American nursing homes and the quality of care. Studies were identified by searching MEDLINE (January 1990-October 2002), reference lists, letters, commentaries, and editorials. The quality indicator(s) used to measure quality of care, and its relationship to profit status, was extracted from each publication. The study design and risk-adjustment methodologies used were also extracted. The interrater reliability for the extraction of these three items was determined to be 1.0, 0.6, and 0.8, respectively. Aqualitative systematic review was performed using Donabedian’s framework of structure, process, and outcome for analyzing medical quality of care. Empirical research in the past 12 years has found that systematic differences exist between for-profit and not-for-profit nursing homes. Forprofit nursing homes appear to provide lower quality of care in many important areas of process and outcome.
Collapse
|
36
|
Abstract
Deficiency citations for medication use in nursing homes, including those for psychoactive drug use, are examined. The variables of interest include eight structural and market factors. Data primarily came from the 1997 through 2003 Online Survey, Certification and Recording data and the 2004 Area Resource File. Multivariate logistic regression analyses were used with generalized estimating equations and multinomial logistic regression models with Huber-White robust estimation. Smaller nursing homes and high Medicaid reimbursement rates were consistently significantly associated with fewer deficiency citations in general and fewer repeat deficiency citations. For the other structural and market factors, varying results were identified depending on whether the deficiency citation was specifically for psychoactive drugs, medication errors, or medication administration. Relatively few facilities received psychoactive-specific deficiency citations, whereas numerous facilities were identified with medication error deficiency citations and medication administration deficiency citations. In addition, a relatively large number of facilities received these same citations repeatedly.
Collapse
|
37
|
The impact of facility characteristics on the use of antipsychotic medications in nursing homes: a cross-sectional study. Isr J Health Policy Res 2016; 5:12. [PMID: 26985361 PMCID: PMC4793527 DOI: 10.1186/s13584-016-0070-y] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/17/2015] [Accepted: 03/08/2016] [Indexed: 11/22/2022] Open
Abstract
Background Antipsychotic medications (APMs) are commonly prescribed in nursing homes (NHs) and their excessive use raises concerns about the quality of care. They are often seen as “chemical restraints”, and were shown to increase morbidity and mortality risks in NH residents. The objective of this study was to investigate the variability in prevalence in APM use in a sample of Israeli NHs and to examine the effect of facility characteristics on the use of APMs. Methods A retrospective cross-sectional study was conducted in 2011 using data which were collected in a sample of NHs in the Tel Aviv district during the annual certification process. Prevalence of APMs was determined on the basis of all residents using antipsychotics on a regular basis. The association between facility characteristics and APM use was assessed by multivariate analysis. Results Forty-four NHs providing care for 2372 residents were investigated. The prevalence of APM use varied between facilities from 14.8 to 70.6 %, with an overall prevalence of 37.3 %. Multiple linear regression analysis revealed that greater use of APMs was associated with for-profit facilities, facilities in which most of the residents were self-pay, the presence of a “mentally frail” unit, a medical director non-specialized in geriatrics, shortage of social workers and occupational therapists, presence of unsafe/non-fitting equipment or self-aids (e.g., unsafe bath/toilet seats, unsuitable height of tables) and shortage of recreational activities. Conclusions A wide variation in APM use was recorded in NHs in the Tel Aviv district. This variation was associated with facility characteristics that undermine quality of care. Application of APM use as a measure of quality in NHs and publicizing their utilization may decrease their overall use.
Collapse
|
38
|
Peri K, Kerse N, Moyes S, Scahill S, Chen C, Hong JB, Hughes CM. Is psychotropic medication use related to organisational and treatment culture in residential care. J Health Organ Manag 2015; 29:1065-79. [DOI: 10.1108/jhom-10-2013-0236] [Citation(s) in RCA: 6] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/17/2022]
Abstract
Purpose
– The purpose of this paper is to establish the relationship between organisational culture and psychotropic medication use in residential care.
Design/methodology/approach
– Cross-sectional analyses of staff and resident’s record survey in residential aged care facilities in Auckland, New Zealand (NZ). The competing values framework categorised organisational culture as clan, hierarchical, market driven or adhocracy and was completed by all staff. The treatment culture tool categorised facilities as having resident centred or traditional culture and was completed by registered nursing staff and general practitioners (GP). Functional and behavioural characteristics of residents were established by staff report and health characteristics and medications used were ascertained from the health record. Multiple regression was used to test for associations between measures of culture with psychotropic medication use (anxiolytics, sedatives, major tranquillisers).
Findings
– In total 199 staff, 27 GP and 527 residents participated from 14 facilities. On average 8.5 medications per resident were prescribed and 42 per cent of residents received psychotropic medication. Having a diagnosis of anxiety or depression (odds ratio (OR) 3.18, 95 per cent confidence interval (CI) 1.71, 5.91), followed by persistent wandering (OR 2.53, 95 per cent CI 1.59, 4.01) and being in a dementia unit (OR 2.45, 95 per cent CI 1.17, 5.12) were most strongly associated with psychotropic use. Controlling for resident- and facility-level factors, health care assistants’ assignation of hierarchical organisational culture type was independently associated with psychotropic medication use, (OR 1.29, CI 1.08, 1.53) and a higher treatment culture score from the GP was associated with lower use of psychotropic medication (OR 0.95, CI 0.92, 0.98).
Originality/value
– Psychotropic medication use remains prevalent in residential care facilities in NZ. Interventions aimed at changing organisational culture towards a less hierarchical and more resident-centred culture may be another avenue to improve prescribing in residential aged care.
Collapse
|
39
|
Ellis ML, Molinari V, Dobbs D, Smith K, Hyer K. Assessing approaches and barriers to reduce antipsychotic drug use in Florida nursing homes. Aging Ment Health 2015; 19:507-16. [PMID: 25166458 DOI: 10.1080/13607863.2014.952710] [Citation(s) in RCA: 15] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 10/24/2022]
Abstract
OBJECTIVES Antipsychotic medications have been federally regulated since 1987, yet research suggests they continue to be used inappropriately to alleviate behavioral symptoms associated with dementia. In 2012, the Centers of Medicare and Medicaid launched a new initiative to reduce antipsychotic medication in nursing homes by 15% nationally. The aim of this study was to examine qualitative data to explore strategies that have been implemented, to assess which strategies are evidence-based, and to make recommendations to improve upon practices to reduce antipsychotic medication use. METHOD A convenience sample of 276 nursing home professional staff members were surveyed about these topics using open-ended questions. RESULTS Theme-based content analysis yielded three main themes. The themes related to changes in practice included the following: (1) increased review of resident behavior and antipsychotic medication regimens; (2) reduction in antipsychotic medications or dosage; and (3) increased use of nonpharmacological interventions. The main themes relevant to needed assistance included the following: (1) education; (2) clinical support; and (3) increased financial resources and reimbursement. DISCUSSION Overall findings indicate that the majority of facilities are actively responding to the initiative, but challenges remain in education, finding mental health support, and in reimbursement.
Collapse
Affiliation(s)
- Michelle L Ellis
- School of Aging Studies, University of South Florida, Tampa, Florida; Florida Policy Exchange Center on Aging, University of South Florida, Tampa, Florida
| | | | | | | | | |
Collapse
|
40
|
Mattingly TJ. A Review Exploring the Relationship Between Nursing Home Staffing and Antipsychotic Medication Use. Neurol Ther 2015; 4:169-75. [PMID: 26662363 PMCID: PMC4685870 DOI: 10.1007/s40120-015-0032-2] [Citation(s) in RCA: 8] [Impact Index Per Article: 0.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 08/06/2015] [Indexed: 12/02/2022] Open
Abstract
Staffing level requirements for nursing homes exist at state and federal levels in the United States. While quality of care measures may include antipsychotic (AP) prescribing, the appropriate use of APs as chemical restraints in nursing homes continues to be debated. Although the two variables appear to be related, improved research methods and availability of accurate staffing data will be needed to understand causal relationships regarding AP use for facility dwelling patients.
Collapse
Affiliation(s)
- T Joseph Mattingly
- Department of Pharmacy Practice and Science, University of Maryland School of Pharmacy, Baltimore, MD, USA.
| |
Collapse
|
41
|
Laffon de Mazières C, Lapeyre-Mestre M, Vellas B, de Souto Barreto P, Rolland Y. Organizational Factors Associated With Inappropriate Neuroleptic Drug Prescribing in Nursing Homes: A Multilevel Approach. J Am Med Dir Assoc 2015; 16:590-7. [DOI: 10.1016/j.jamda.2015.01.092] [Citation(s) in RCA: 16] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/13/2014] [Revised: 01/23/2015] [Accepted: 01/26/2015] [Indexed: 01/08/2023]
|
42
|
Pimentel CB, Donovan JL, Field TS, Gurwitz JH, Harrold LR, Kanaan AO, Lemay CA, Mazor KM, Tjia J, Briesacher BA. Use of atypical antipsychotics in nursing homes and pharmaceutical marketing. J Am Geriatr Soc 2015; 63:297-301. [PMID: 25688605 DOI: 10.1111/jgs.13180] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/30/2022]
Abstract
OBJECTIVES To describe the current extent and type of pharmaceutical marketing in nursing homes (NHs) in one state and to provide preliminary evidence for the potential influence of pharmaceutical marketing on the use of atypical antipsychotics in NHs. DESIGN Nested mixed-methods, cross-sectional study of NHs in a cluster randomized trial. SETTING Forty-one NHs in Connecticut. PARTICIPANTS NH administrators, directors of nursing, and medical directors (n = 93, response rate 75.6%). MEASUREMENTS Quantitative data, including prescription drug dispensing data (September 2009-August 2010) linked with Nursing Home Compare data (April 2011), were used to determine facility-level prevalence of atypical antipsychotic use, facility-level characteristics, NH staffing, and NH quality. Qualitative data, including semistructured interviews and surveys of NH leaders conducted in the first quarter of 2011, were used to determine encounters with pharmaceutical marketing. RESULTS Leadership at 46.3% of NHs (n = 19) reported pharmaceutical marketing encounters, consisting of educational training, written and Internet-based materials, and sponsored training. No association was detected between level of atypical antipsychotic prescribing and reports of any pharmaceutical marketing by at least one NH leader. CONCLUSION NH leaders frequently encounter pharmaceutical marketing through a variety of ways, although the impact on atypical antipsychotic prescribing is unclear.
Collapse
Affiliation(s)
- Camilla B Pimentel
- Clinical and Population Health Research Program, Graduate School of Biomedical Sciences, University of Massachusetts Medical School, Worcester, Massachusetts
| | | | | | | | | | | | | | | | | | | |
Collapse
|
43
|
Rodriguez-Monguio R, Seoane-Vazquez E. Potentially inappropriate antipsychotic use in a nationally representative US nursing homes sample: a safety concern. JOURNAL OF PHARMACEUTICAL HEALTH SERVICES RESEARCH 2014. [DOI: 10.1111/jphs.12074] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Affiliation(s)
- Rosa Rodriguez-Monguio
- School of Public Health and Health Sciences; University of Massachusetts, Amherst; Amherst MA USA
| | - Enrique Seoane-Vazquez
- International Center for Pharmaceutical Economics and Policy; Massachusetts College of Pharmacy and Health Sciences; Boston MA USA
| |
Collapse
|
44
|
Cool C, Cestac P, Laborde C, Lebaudy C, Rouch L, Lepage B, Vellas B, Barreto PDS, Rolland Y, Lapeyre-Mestre M. Potentially Inappropriate Drug Prescribing and Associated Factors in Nursing Homes. J Am Med Dir Assoc 2014; 15:850.e1-9. [DOI: 10.1016/j.jamda.2014.08.003] [Citation(s) in RCA: 43] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/12/2014] [Revised: 08/05/2014] [Accepted: 08/12/2014] [Indexed: 10/24/2022]
|
45
|
Abstract
IMPORTANCE Hospital readmissions are common, costly, and potentially preventable. Little is known about the association between available skilled nursing facility (SNF) performance measures and the risk of hospital readmission. OBJECTIVE To measure the association between SNF performance measures and hospital readmissions among Medicare beneficiaries receiving postacute care at SNFs in the United States. DESIGN AND PARTICIPANTS Using national Medicare data on fee-for-service Medicare beneficiaries discharged to a SNF after an acute care hospitalization between September 1, 2009, and August 31, 2010, we examined the association between SNF performance on publicly available metrics (SNF staffing intensity, health deficiencies identified through site inspections, and the percentages of SNF patients with delirium, moderate to severe pain, and new or worsening pressure ulcers) and the risk of readmission or death 30 days after discharge to a SNF. Adjusted analyses controlled for patient case mix, SNF facility factors, and the discharging hospital. MAIN OUTCOMES AND MEASURES Readmission to an acute care hospital or death within 30 days of the index hospital discharge. RESULTS Of 1,530,824 patients discharged, 357,752 (23.3%; 99% CI, 23.3%-23.5%) were readmitted or died within 30 days; 72,472 died within 30 days (4.7%; 99% CI, 4.7%-4.8%), and 321,709 were readmitted (21.0%; 99% CI, 20.9%-21.1%). The unadjusted risk of readmission or death was lower at SNFs with better staffing ratings. SNFs ranked lowest (19.2% of all SNFs) had a 30-day risk of readmission or death of 25.5% (99% CI, 25.3%-25.8%) vs 19.8% (99% CI, 19.5%-20.1%) among those ranked highest. SNFs with better facility inspection ratings also had a lower risk of readmission or death. SNFs ranked lowest (20.1% of all SNFs) had a risk of 24.9% (99% CI, 24.7%-25.1%) vs 21.5% (99% CI, 21.2%-21.7%) among those ranked highest . Adjustment for patient factors, SNF facility factors, and the discharging hospital attenuated these associations; we observed small differences in the adjusted risk of readmission or death according to SNF facility inspection ratings (lowest vs highest rating: 23.7%; 99% CI: 23.7%, 23.7%; vs 23.0%; 99% CI: 23.0%, 23.1%). Other measures did not predict clinically meaningful differences in the adjusted risk of readmission or death. CONCLUSIONS AND RELEVANCE Among fee-for-service Medicare beneficiaries discharged to a SNF after an acute care hospitalization, available performance measures were not consistently associated with differences in the adjusted risk of readmission or death.
Collapse
Affiliation(s)
- Mark D. Neuman
- Department of Anesthesiology and Critical Care, Perelman School of Medicine, University of Pennsylvania
- Leonard Davis Institute of Health Economics, University of Pennsylvania
| | - Christopher Wirtalla
- Department of Medicine, Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania
| | - Rachel M. Werner
- Leonard Davis Institute of Health Economics, University of Pennsylvania
- Department of Medicine, Division of General Internal Medicine, Perelman School of Medicine, University of Pennsylvania
- Center for Health Equity Research and Promotion, Philadelphia VA Medical Center
| |
Collapse
|
46
|
Abstract
BACKGROUND The relationship between psychiatric consultation and antipsychotic prescribing in nursing homes (NH) is unknown. OBJECTIVE To identify the association between psychiatric consultant groups and NH-level antipsychotic prescribing after adjustment for resident case-mix and facility characteristics. RESEARCH DESIGN AND SUBJECTS Nested cross-sectional study of 60 NHs in a cluster randomized trial. We linked facility leadership surveys to October 2009-September 2010 Minimum Data Set, Nursing Home Compare, the US Census, and pharmacy dispensing data. MEASURES The main exposure is the psychiatric consultant group and the main outcome is NH-level prevalence of atypical antipsychotic use. We calculated annual means and interquartile ranges of NH-level antipsychotic use for each consultant group and arrayed consultant groups from lowest to highest prevalence. Generalized linear models were used to predict antipsychotic prescribing adjusting for resident case-mix and facility characteristics. Observed versus predicted antipsychotic prescribing levels were compared for each consultant group. RESULTS Seven psychiatric consultant groups served a range of 3-27 study facilities. Overall mean facility-level antipsychotic prescribing was 19.2%. Mean prevalence of antipsychotic prescribing ranged from 12.2% (SD, 5.8) in the lowest consultant group to 26.4% (SD, 3.6) in the highest group. All facilities served by the highest-ranked consultant group had observed antipsychotic levels exceeding the overall study mean with half exceeding predictions for on-label indications, whereas most facilities served by the lowest-ranked consultant group had observed levels below the overall study and predicted means. CONCLUSIONS Preliminary evidence suggests that psychiatric consultant groups affect NH antipsychotic prescribing independent of resident case-mix and facility characteristics.
Collapse
|
47
|
The effects of RN staffing hours on nursing home quality: A two-stage model. Int J Nurs Stud 2014; 51:409-17. [DOI: 10.1016/j.ijnurstu.2013.10.007] [Citation(s) in RCA: 38] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/23/2013] [Revised: 10/01/2013] [Accepted: 10/04/2013] [Indexed: 11/20/2022]
|
48
|
Walsh JE, Lane SJ, Troyer JL. Impact of Medication Aide Use on Skilled Nursing Facility Quality. THE GERONTOLOGIST 2013; 54:976-88. [DOI: 10.1093/geront/gnt085] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/14/2022] Open
|
49
|
Rigler SK, Shireman TI, Cook-Wiens GJ, Ellerbeck EF, Whittle JC, Mehr DR, Mahnken JD. Fracture risk in nursing home residents initiating antipsychotic medications. J Am Geriatr Soc 2013; 61:715-22. [PMID: 23590366 DOI: 10.1111/jgs.12216] [Citation(s) in RCA: 34] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Abstract
OBJECTIVES To determine whether antipsychotic medication initiation is associated with subsequent fracture in nursing home residents, whether fracture rates differ between users of first- and second-generation antipsychotics, and whether fracture rates differ between users of haloperidol, risperidone, olanzapine, and quetiapine. DESIGN Time-to-event analyses were conducted in a retrospective cohort using linked Medicaid; Medicare; Minimum Data Set; and Online Survey, Certification, and Reporting data sets. SETTING Nursing homes in California, Florida, Missouri, New Jersey, and Pennsylvania. PARTICIPANTS Nursing home residents aged ≥ 65. MEASUREMENTS Fracture outcomes (any fracture; hip fracture) in users of first- and second-generation anti-psychotic and specifically users of haloperidol, risperidone, olanzapine, and quetiapine. Comparisons incorporated propensity scores that included individual- (demographic characteristics, comorbidity, diagnoses, weight, fall history, concomitant medications, cognitive performance, physical function, aggressive behavior) and facility- (nursing home size, ownership factors, staffing levels) level variables. RESULTS Of 8,262 subjects (in 4,131 pairs), 4.3% suffered any fracture during observation, with 1% having a hip fracture during an average follow-up period of 93 ± 71 days (range 1-293 days). Antipsychotic initiation was associated with any fracture (hazard ratio (HR) = 1.39, P = .004) and hip fracture (HR = 1.76, P = .02). The highest risk was found for hip fracture when antipsychotic use was adjusted for dose (HR = 2.96, P = .008), but no differences in time to fracture were found between first- and second-generation agents or between individual drugs. CONCLUSION Antipsychotic initiation is associated with fracture in nursing home residents, but risk does not differ between commonly used antipsychotics.
Collapse
Affiliation(s)
- Sally K Rigler
- Department of Medicine and, School of Medicine, University of Kansas, Kansas City, Kansas 66160, USA.
| | | | | | | | | | | | | |
Collapse
|
50
|
Matusitz J, Breen GM, Zhang NJ, Seblega BK. Improving nursing home resident integrity by optimizing interpersonal communication skills in clinical staff. JOURNAL OF EVIDENCE-BASED SOCIAL WORK 2013; 10:63-72. [PMID: 23581801 DOI: 10.1080/15433714.2011.581540] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.1] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/02/2023]
Abstract
In this article the authors discuss the prevalence of resident abuse and reported violations of care deficiencies and resident maltreatment in nursing homes in the United States. The number of nursing homes in the United States that are cited with abuse violations has increased in recent years. While the authors recognize that treatments (both positive and negative) received by residents are sometimes related to factors other than staff's lack of knowledge and poor attitudes, their purpose in this analysis is to enhance resident integrity through the improvement of staff interpersonal communication skills. In doing so, innovative strategies and specific interpersonal communication theories are examined as educational methods to confront and resolve care deficiencies and elevate and enrich residents' integrity, satisfaction, and outcomes.
Collapse
Affiliation(s)
- Jonathan Matusitz
- Nicholson School of Communication, University of Central Florida, Orlando, Florida 32773, USA.
| | | | | | | |
Collapse
|