Self-reported National Healthcare Safety Network knowledge and enrollment: A national survey of nursing homes

The Role of Regional and State Initiatives in Nursing Home Advance Care Planning Policies

OBJECTIVE

Antibiotic use at the end of life (EoL) may introduce physiological as well as psychological stress and be incongruent with patients' goals of care. Advance care planning (ACP) related to antibiotic use at the EoL helps improve goal-concordant care. Many nursing home (NH) residents are seriously ill. Therefore, we aimed to examine whether state and regional ACP initiatives play a role in the presence of "do not administer antibiotics" orders for NH residents at the EoL.

METHODS

We surveyed a random, representative national sample of 810 U.S. NHs (weighted n = 13,983). The NH survey included items on "do not administer antibiotics" orders in place and participation in infection prevention collaboratives. The survey was linked to state Physician Orders for Life-Sustaining Treatment (POLST) adoption status and resident, facility, and county characteristics data. We conducted multivariable regression models with state fixed effects, stratified by state POLST designation.

RESULTS

NHs in mature POLST states reported higher rates of "do not administer antibiotics" orders compared to developing POLST states (10.1% vs. 4.6%, respectively, p = 0.004). In mature POLST states, participation in regional collaboratives and smaller NH facilities (<100 beds) were associated with having "do not administer antibiotics" orders for seriously ill residents (β = 0.11, p = 0.006 and β = 0.12, p = 0.003, respectively).

DISCUSSION

NHs in states with mature POLST adoption that participated in infection control collaboratives were more likely to have "do not administer antibiotics" orders. State ACP initiatives combined with regional antibiotic stewardship initiatives may improve inappropriate antibiotic use at the EoL for NH residents.

Facilitators and challenges experienced by nursing homes enrolling in the CDC national health care safety network

BACKGROUND

Standardized measurement of health care-associated infections is essential to improving nursing home (NH) resident safety, however voluntary enrollment of NHs in Centers for Disease Control and Prevention's National Healthcare Safety Network (NHSN) requires several steps. We sought to prospectively identify NH structural, process or staff characteristics that affect enrollment and data submission among a cohort of NHs receiving facilitated implementation.

METHODS

The evaluation employed a mixed methods approach. The meta-theoretical Consolidated Framework for Implementation Research was used to analyze reported facilitators and challenges. Primary and secondary outcomes were time to NHSN enrollment and data submission, respectively.

RESULTS

Of 36 participating NHs, 27 (75%) completed NHSN enrollment and 21 (58%) submitted 1 or more months of infection data during the 8-month study period. Mean days to complete enrollment was 82 (standard deviation [SD] = 24, range = 51-139) and days to first data submission was 112 (SD = 45, range = 71-245). Characteristics of NH staff liaisons associated with shorter time to enrollment included infection prevention and control knowledge, personal confidence, and responsibility for infection prevention and control activities. Facility characteristics were not associated with outcomes.

DISCUSSION

Time to NHSN enrollment and submission related more to characteristics of the person leading the process than to characteristics of the NH.

CONCLUSIONS

External partnerships that provide real-time support and resources are important assets in promoting successful NH participation in NHSN.

Risk adjustment for benchmarking nursing home infection surveillance data: A narrative review

Until recently, there was no national surveillance system for monitoring infection occurrence in long-term care facilities (LTCF) in the United States. As a result, there are no national benchmarks for LTCF infection rates that can be utilized for quality improvement at the facility level. One of the major challenges in the reporting of health care-related infection data is accounting for nonmodifiable facility and patient characteristics that influence benchmarks for infection. The objectives of this paper are to review: (a) published infection rates in LTCF in the United States to assess the level of variability; (b) studies describing facility- and resident-level risk factors for infection that can be used in risk adjustment models; (c) published attempts to risk-adjust LTCF infection rates; and (d) efforts to develop models specifically for risk adjustment of infection rates in LTCF for benchmarking. It is anticipated that this review will stimulate further study of methods to risk-adjust LTCF infection rates for benchmarking that will facilitate research and public reporting.