28 NICUs participating in a quality improvement collaborative targeting early-onset sepsis antibiotic use.

OBJECTIVE: There is widespread overuse of antibiotics in neonatal intensive care units (NICUs). The objective of this study was to safely reduce antibiotic use in participating NICUs by targeting early-onset sepsis (EOS) management. STUDY DESIGN: Twenty-eight NICUs participated in this statewide multicenter antibiotic stewardship quality improvement collaborative. The primary aim was to reduce the total monthly mean antibiotic utilization rate (AUR) by 25% in participant NICUs. RESULT: Aggregate AUR was reduced by 15.3% (p < 0.001). There was a wide range in improvement among participant NICUs. There were no increases in EOS rates or nosocomial infection rates related to the intervention. CONCLUSION: Participation in this multicenter NICU antibiotic stewardship collaborative targeting EOS was associated with an aggregate reduction in antibiotic use. This study informs efforts aimed at sustaining improvements in NICU AURs.

National Healthcare Safety Network 2018 Baseline Neonatal Standardized Antimicrobial Administration Ratios.

BACKGROUND: The microbiologic etiologies, clinical manifestations, and antimicrobial treatment of neonatal infections differ substantially from infections in adult and pediatric patient populations. In 2019, the Centers for Disease Control and Prevention developed neonatal-specific (Standardized Antimicrobial Administration Ratios SAARs), a set of risk-adjusted antimicrobial use metrics that hospitals participating in the National Healthcare Safety Network's (NHSN's) antimicrobial use surveillance can use in their antibiotic stewardship programs (ASPs). METHODS: The Centers for Disease Control and Prevention, in collaboration with the Vermont Oxford Network, identified eligible patient care locations, defined SAAR agent categories, and implemented neonatal-specific NHSN Annual Hospital Survey questions to gather hospital-level data necessary for risk adjustment. SAAR predictive models were developed using 2018 data reported to NHSN from eligible neonatal units. RESULTS: The 2018 baseline neonatal SAAR models were developed for 7 SAAR antimicrobial agent categories using data reported from 324 neonatal units in 304 unique hospitals. Final models were used to calculate predicted antimicrobial days, the SAAR denominator, for level II neonatal special care nurseries and level II/III, III, and IV NICUs. CONCLUSIONS: NHSN's initial set of neonatal SAARs provides a way for hospital ASPs to assess whether antimicrobial agents in their facility are used at significantly higher or lower rates compared with a national baseline or whether an individual SAAR value is above or below a specific percentile on a given SAAR distribution, which can prompt investigations into prescribing practices and inform ASP interventions.

Choosing wisely for the other 80%: What we need to know about the more mature newborn and NICU care.

Although neonatal intensive unit (NICU) care is envisioned as the care of very immature infants, more than 95% of births and 80% of NICU admissions are of more mature newborns-infants born at 34 or more weeks' gestation. In spite of the size of this population there are important gaps in the understanding of their needs and optimal management as reflected by remarkably large unexplained variation in their care. The goal of this article is to describe what is known about the more mature, higher birth weight newborn population's use of NICU care and highlight important gaps in knowledge and obstacles to research. Research priorities are identified: including (1) the need for birth population based rather than NICU based studies, and (2) population specific data elements. Summary: More mature newborns-infants of 34 or more weeks' gestation-account for most NICU admissions. There are large gaps in the understanding of their needs and optimal management as reflected by large unexplained variation in their care. We enumerate these gaps in current knowledge and suggest research priorities to address them.

Newborn Antibiotic Exposures and Association With Proven Bloodstream Infection.

OBJECTIVES: To estimate the percentage of hospital births receiving antibiotics before being discharged from the hospital and efficiency diagnosing proven bloodstream infection. METHODS: We conducted a cross-sectional study of 326 845 live births in 2017, with a 69% sample of all California births involving 121 California hospitals with a NICU, of which 116 routinely served inborn neonates. Exposure included intravenous or intramuscular antibiotic administered anywhere in the hospital during inpatient stay associated with maternal delivery. The main outcomes were the percent of newborns with antibiotic exposure and counts of exposed newborns per proven bloodstream infection. Units of observation and analysis were the individual hospitals. Correlation analyses included infection rates, surgical case volume, NICU inborn admission rates, and mortality rates. RESULTS: The percent of newborns with antibiotic exposure varied from 1.6% to 42.5% (mean 8.5%; SD 6.3%; median 7.3%). Across hospitals, 11.4 to 335.7 infants received antibiotics per proven early-onset sepsis case (mean 95.1; SD 71.1; median 69.5), and 2 to 164 infants received antibiotics per proven late-onset sepsis case (mean 19.6; SD 24.0; median 12.2). The percent of newborns with antibiotic exposure correlated neither with proven bloodstream infection nor with the percent of patient-days entailing antibiotic exposure. CONCLUSIONS: The percent of newborns with antibiotic exposure varies widely and is unexplained by proven bloodstream infection. Identification of sepsis, particularly early onset, often is extremely inefficient. Knowledge of the numbers of newborns receiving antibiotics complements evaluations anchored in days of exposure because these are uncorrelated measures.

Using NHSN's Antimicrobial Use Option to Monitor and Improve Antibiotic Stewardship in Neonates.

BACKGROUND: The Antimicrobial Use (AU) Option of the Centers for Disease Control and Prevention's National Healthcare Safety Network (NHSN) is a surveillance resource that can provide actionable data for antibiotic stewardship programs. Such data are used to enable measurements of AU across hospitals and before, during, and after stewardship interventions. METHODS: We used monthly AU data and annual facility survey data submitted to the NHSN to describe hospitals and neonatal patient care locations reporting to the AU Option in 2017, examine frequencies of most commonly reported agents, and analyze variability in AU rates across hospitals and levels of care. We used results from these analyses in a collaborative project with Vermont Oxford Network to develop neonatal-specific Standardized Antimicrobial Administration Ratio (SAAR) agent categories and neonatal-specific NHSN Annual Hospital Survey questions. RESULTS: As of April 1, 2018, 351 US hospitals had submitted data to the AU Option from at least 1 neonatal unit. In 2017, ampicillin and gentamicin were the most frequently reported antimicrobial agents. On average, total rates of AU were highest in level III NICUs, followed by special care nurseries, level II-III NICUs, and well newborn nurseries. Seven antimicrobial categories for neonatal SAARs were created, and 6 annual hospital survey questions were developed. CONCLUSIONS: A small but growing percentage of US hospitals have submitted AU data from neonatal patient care locations to NHSN, enabling the use of AU data aggregated by NHSN as benchmarks for neonatal antimicrobial stewardship programs and further development of the SAAR summary measure for neonatal AU.

Variations in Neonatal Antibiotic Use.

OBJECTIVES: We sought to identify whether and how the NICU antibiotic use rate (AUR), clinical correlates, and practice variation changed between 2013 and 2016 and attempted to identify AUR ranges that are consistent with objectively determined bacterial and/or fungal disease burdens. METHODS: In a retrospective cohort study of >54 000 neonates annually at >130 California NICUs from 2013 to 2016, we computed nonparametric linear correlation and compared AURs among years using a 2-sample test of proportions. We stratified by level of NICU care and participation in externally organized stewardship efforts. RESULTS: By 2016, the overall AUR declined 21.9% (95% confidence interval [CI] 21.9%-22.0%), reflecting 42 960 fewer antibiotic days. Among NICUs in externally organized antibiotic stewardship efforts, the AUR declined 28.7% (95% CI 28.6%-28.8%) compared with 16.2% (95% CI 16.1%-16.2%) among others. The intermediate NICU AUR range narrowed, but the distribution of values did not shift toward lower values as it did for other levels of care. The 2016 AUR correlated neither with proven infection nor necrotizing enterocolitis. The 2016 regional NICU AUR correlated with surgical volume (ρ = 0.53; P = .01), mortality rate (ρ = 0.57; P = .004), and average length of stay (ρ = 0.62; P = .002) and was driven by 3 NICUs with the highest AUR values (30%-57%). CONCLUSIONS: Unexplained antibiotic use has declined but continues. Currently measured clinical correlates generally do not help explain AUR values that are above the lowest quartile cutpoint of 14.4%.

Comparison of Collaborative Versus Single-Site Quality Improvement to Reduce NICU Length of Stay.

BACKGROUND: There is unexplained variation in length of stay (LOS) across NICUs, suggesting that there may be practices that can optimize LOS. METHODS: Three groups of NICUs in the California Perinatal Quality Care Collaborative were followed: (1) collaborative centers participating in an 18-month collaborative quality improvement project to optimize LOS for preterm infants; (2) individual centers aiming to optimize LOS; and (3) nonparticipants. Our aim in the collaborative project was to decrease postmenstrual age (PMA) at discharge for infants born between 27 + 0 and <32 weeks' gestational age by 3 days. A secondary outcome was "early discharge," the proportion of infants discharged from the hospital before 36 + 5 weeks' PMA. The balancing measure of readmissions within 72 hours was tracked for the collaborative group. RESULTS: From 2013 to 2015, 8917 infants were cared for in 20 collaborative NICUs, 19 individual project NICUs, and 71 nonparticipants. In the collaborative group, the PMA at discharge decreased from 37.8 to 37.5 weeks (P = .02), and early discharge increased from 31.6% to 41.9% (P = .006). The individual project group had no significant change. Nonparticipants had a decrease in PMA from 37.5 to 37.3 weeks (P = .01) but no significant change in early discharge (39.8% to 43.6%; P = .24). There was no significant change in readmissions over time in the collaborative group. CONCLUSIONS: A structured collaborative project that was focused on optimizing LOS led to a 3-day decrease in LOS and was more effective than individualized quality improvement efforts.

Association Between Neonatal Intensive Care Unit Admission Rates and Illness Acuity.

Importance: Most neonates admitted to a neonatal intensive care unit (NICU) are born at gestational age (GA) of 34 weeks or more. The degree of uniformity of admission criteria for these infants is unclear, particularly at the low-acuity end of the range of conditions warranting admission. Objectives: To describe variation in NICU admission rates for neonates born at GA of 34 weeks or more and examine whether such variation is associated with high illness acuity or designated facility level of care. Design, Setting, and Participants: Cross-sectional study of 35 921 NICU inborn admissions of GA at 34 weeks or more during calendar year 2015, using a population database of inborn NICU admissions at 130 of the 149 hospitals in California with a NICU. The aggregate service population comprised 358 453 live births. The individual NICU was the unit of observation and analysis. The analysis was stratified by designated facility level of care and correlations with the percentage admissions with high illness acuity were explored. The hypothesis at the outset of the study was that inborn admission rates would correlate positively with the percentage of admissions with high illness acuity. Exposures: Live birth at GA of 34 weeks or more. Main Outcomes and Measures: Inborn NICU admission rate. Results: Of the total of 358 453 live births at GA of 34 weeks or more, 35 921 infants were admitted to a NICU and accounted for 79.2% of all inborn NICU admissions; 4260 (11.9%) of these admissions met high illness acuity criteria. Inborn admission rates varied 34-fold, from 1.1% to 37.7% of births (median, 9.7%; mean [SD], 10.6% [5.8%]). Percentage with high illness acuity varied 40-fold, from 2.4% to 95% (median, 11.3%; mean, 13.2% [9.9%]). Inborn admission rate correlated inversely with percentage of admissions with high illness acuity (Spearman ρ = -0.3034, P < .001). Among regional NICUs capable of caring for patients with the highest degree of illness and support needs, inborn admission rate did not significantly correlate with percentage of admissions with high illness acuity (Spearman ρ = -0.21, P = .41). Conclusions and Relevance: Percentage of admissions with high illness acuity does not explain 34-fold variation in NICU inborn admission rates for neonates born at GA of 34 weeks or more. The findings are consistent with a supply-sensitive care component and invite future investigation to clarify the lower-acuity end of the range of conditions considered to warrant neonatal intensive care.

Estimating Length of Stay by Patient Type in the Neonatal Intensive Care Unit.

Objective Develop length of stay prediction models for neonatal intensive care unit patients. Study Design We used data from 2008 to 2010 to construct length of stay models for neonates admitted within 1 day of age to neonatal intensive care units and surviving to discharge home. Results Our sample included 23,551 patients. Median length of stay was 79 days when birth weight was < 1,000 g, 46 days for 1,000 to 1,500 g, 21 days for 1,500 to 2,500 g, and 8 days for ≥2,500 g. Risk factors for longer length of stay varied by weight. Units with shorter length of stay for one weight group had shorter lengths of stay for other groups. Conclusion Risk models for comparative assessments of length of stay need to appropriately account for weight, particularly considering the cutoff of 1,500 g. Refining prediction may benefit counseling of families and health care systems to efficiently allocate resources.

Effect of Catheter Dwell Time on Risk of Central Line-Associated Bloodstream Infection in Infants.

BACKGROUND AND OBJECTIVE: Central venous catheters in the NICU are associated with significant morbidity and mortality because of the risk of central line-associated bloodstream infections (CLABSIs). The purpose of this study was to determine the effect of catheter dwell time on risk of CLABSI. METHODS: Retrospective cohort study of 13,327 infants with 15,567 catheters (93% peripherally inserted central catheters [PICCs], 7% tunneled catheters) and 256,088 catheter days cared for in 141 NICUs. CLABSI was defined using National Health Surveillance Network criteria. We defined dwell time as the number of days from line insertion until either line removal or day of CLABSI. We generated survival curves for each week of dwell time and estimated hazard ratios for CLABSI at each week by using a Cox proportional hazards frailty model. We controlled for postmenstrual age and year, included facility as a random effect, and generated separate models by line type. RESULTS: Median postmenstrual age was 29 weeks (interquartile range 26-33). The overall incidence of CLABSI was 0.93 per 1000 catheter days. Increased dwell time was not associated with increased risk of CLABSI for PICCs. For tunneled catheters, infection incidence was significantly higher in weeks 7 and 9 compared with week 1. CONCLUSIONS: Clinicians should not routinely replace uninfected PICCs for fear of infection but should consider removing tunneled catheters before week 7 if no longer needed. Additional studies are needed to determine what daily maintenance practices may be associated with decreased risk of infection, especially for tunneled catheters.

Neonatal intensive care unit antibiotic use.

BACKGROUND AND OBJECTIVES: Treatment of suspected infection is a mainstay of the daily work in the NICU. We hypothesized that NICU antibiotic prescribing practice variation correlates with rates of proven infection, necrotizing enterocolitis (NEC), mortality, inborn admission, and with NICU surgical volume and average length of stay. METHODS: In a retrospective cohort study of 52,061 infants in 127 NICUs across California during 2013, we compared sample means and explored linear and nonparametric correlations, stratified by NICU level of care and lowest/highest antibiotic use rate quartiles. RESULTS: Overall antibiotic use varied 40-fold, from 2.4% to 97.1% of patient-days; median = 24.5%. At all levels of care, it was independent of proven infection, NEC, surgical volume, or mortality. Fifty percent of intermediate level NICUs were in the highest antibiotic use quartile, yet most of these units reported infection rates of zero. Regional NICUs in the highest antibiotic quartile reported inborn admission rate 218% higher (0.24 vs 0.11, P = .03), and length of stay 35% longer (90.2 days vs 66.9 days, P = .03) than regional NICUs in the lowest quartile. CONCLUSIONS: Forty-fold variation in NICU antibiotic prescribing practice across 127 NICUs with similar burdens of proven infection, NEC, surgical volume, and mortality indicates that a considerable portion of antibiotic use lacks clear warrant; in some NICUs, antibiotics are overused. Additional study is needed to establish appropriate use ranges and elucidate the determinants and directionality of relationships between antibiotic and other resource use.

Referral of very low birth weight infants to high-risk follow-up at neonatal intensive care unit discharge varies widely across California.

OBJECTIVES: To determine rates and factors associated with referral to the California Children's Services high-risk infant follow-up (HRIF) program among very low birth weight (BW) infants in the California Perinatal Quality of Care Collaborative. STUDY DESIGN: Using multivariable logistic regression, we examined independent associations of demographic and clinical variables, neonatal intensive care unit (NICU) volume and level, and California region with HRIF referral. RESULTS: In 2010-2011, 8071 very low BW infants were discharged home; 6424 (80%) were referred to HRIF. Higher odds for HRIF referral were associated with lower BW (OR 1.9, 95% CI 1.5-2.4; ≤ 750 g vs 1251-1499 g), higher NICU volume (OR 1.6, 1.2-2.1; highest vs lowest quartile), and California Children's Services Regional level (OR 3.1, 2.3-4.3, vs intermediate); and lower odds with small for gestational age (OR 0.79, 0.68-0.92), and maternal race African American (OR 0.58, 0.47-0.71) and Hispanic (OR 0.65, 0.55-0.76) vs white. There was wide variability in referral among regions (8%-98%) and NICUs (<5%-100%), which remained after risk adjustment. CONCLUSIONS: There are considerable disparities in HRIF referral, some of which may indicate regional and individual NICU resource challenges and barriers. Understanding demographic and clinical factors associated with failure to refer present opportunities for targeted quality improvement initiatives.

The effectiveness of flow cytometric sorting of human sperm (MicroSort®) for influencing a child's sex.

BACKGROUND: Flow cytometric sorting can be used to separate sperm based on sex chromosome content. Differential fluorescence emitted by stained X- vs. Y-chromosome-bearing sperm enables sorting and collection of samples enriched in either X- or Y-bearing sperm for use to influence the likelihood that the offspring will be a particular sex. Herein we report the effectiveness of flow cytometric sorting of human sperm and its use in human ART procedures. METHODS: This prospective, observational cohort study of the series of subjects treated with flow cytometrically sorted human sperm was conducted at investigational sites at two private reproductive centers. After meeting inclusion criteria, married couples (n = 4993) enrolled to reduce the likelihood of sex-linked or sex-limited disease in future children (n = 383) or to balance the sex ratio of their children (n = 4610). Fresh or frozen-thawed semen was processed and recovered sperm were stained with Hoechst 33342 and sorted by flow cytometry (n = 7718) to increase the percentage of X-bearing sperm (n = 5635) or Y-bearing sperm (n = 2083) in the sorted specimen. Sorted sperm were used for IUI (n = 4448) and IVF/ICSI (n = 2957). Measures of effectiveness were the percentage of X- and Y-bearing sperm in sorted samples, determined by fluorescence in situ hybridization, sex of babies born, IVF/ICSI fertilization- and cleavage rates, and IUI, IVF/ICSI, FET pregnancy rates and miscarriage rates. RESULTS: Sorted specimens averaged 87.7 ± 5.0% X-bearing sperm after sorting for X and 74.3 ± 7.0% Y-bearing sperm after sorting for Y. Seventy-three percent of sorts were for girls. For babies born, 93.5% were females and 85.3% were males after sorting for X- and Y-bearing sperm, respectively. IUI, IVF/ICSI, and FET clinical pregnancy rates were 14.7%, 30.8%, and 32.1%, respectively; clinical miscarriage rates were 15.5%, 10.2%, and 12.7%. CONCLUSIONS: Flow cytometric sorting of human sperm shifted the X:Y sperm ratio. IUI, IVF/ICSI and FET outcomes were consistent with unimpaired sperm function. Results provide evidence supporting the effectiveness of flow cytometric sorting of human sperm for use as a preconception method of influencing a baby's sex. TRIAL REGISTRATION: NCT00865735 (ClinicalTrials.gov).

Evidence-based approach to preventing central line-associated bloodstream infection in the NICU.

AIM: To review care practices and methods of implementation that reduce the risk of central line-associated bloodstream infection (CLABSI). METHODS: Medical and quality improvement-oriented literature was reviewed. RESULTS: Although effective catheter practices, equipment and staff training methods are available to reduce CLABSI, their implementation is often difficult. CONCLUSION: A successful CLABSI reduction programme requires not only identification of best practices but also understanding of the specific context or unit culture into which they will be introduced.

Statewide NICU central-line-associated bloodstream infection rates decline after bundles and checklists.

OBJECTIVE: In 2008, all 18 regional referral NICUs in New York state adopted central-line insertion and maintenance bundles and agreed to use checklists to monitor maintenance-bundle adherence and report checklist use. We sought to confirm whether adopting standardized bundles and using central-line maintenance checklists reduced central-line-associated bloodstream infections (CLABSI). METHODS: This was a prospective cohort study that enrolled all neonates with a central line who were hospitalized in any of 18 NICUs. Each NICU reported CLABSI and central-line utilization data and checklist use. We used χ(2) to compare CLABSI rates in the preintervention (January to December 2007) versus the postintervention (March to December 2009) periods and Poisson regression to model adjusted CLABSI rates. RESULTS: Each study period included more than 55 000 central-line days and more than 200 000 patient-days. CLABSI rates decreased 67% statewide (risk ratio: 0.33 [95% confidence interval: 0.27-0.41]; P < .0005); after adjusting for the altered central-line-associated bloodstream infection definition in 2008, by 40% (risk ratio: 0.60 [95% confidence interval: 0.48-0.75]; P < .0005). A total of 13 of 18 NICUs reported using maintenance checklists for 10% to 100% of central-line days. The checklist-use rate was associated with the CLABSI rate (coefficient: -0.57, P = .04). A total of 10 of 18 NICUs were independent CLABSI rate predictors, ranging from 1 site with greatly reduced risk (incidence rate ratio: 0.04, P < .0005) to 1 site with greatly increased risk (incidence rate ratio: 2.87, P < .0005). CONCLUSIONS: Although standardizing central-line care elements led to a significant statewide decline in NICU CLABSIs, site of care remains an independent risk factor. Using maintenance checklists reduced CLABSIs.

Neonatal intensive care unit collaboration to decrease hospital-acquired bloodstream infections: from comparative performance reports to improvement networks.

This two-part article provides a general guide to thinking about data-driven clinical performance evaluation and describes two statewide improvement networks anchored in such comparisons. Part 1 examines key ideas for making fair comparisons among providers. Part 2 describes the development of a data-driven collaborative that aims to reduce central line associated bloodstream infections in neonatal ICUs across New York State, and a more mature collaborative in California that has already succeeded in reducing these infections; it provides sufficient detail and tools to be of practical help to others seeking to create such networks. The content illustrates concepts with broad applicability for pediatric quality improvement.

Poststroke upper-limb rehabilitation using 5 to 7 inserted microstimulators: implant procedure, safety, and efficacy for restoration of function.

OBJECTIVE: To investigate the feasibility of implanting microstimulators to deliver programmed nerve stimulation for sequenced muscle activation to recover arm-hand functions. DESIGN: By using a minimally invasive procedure and local anesthesia, 5 to 7 microstimulators can be safely and comfortably implanted adjacent to targeted radial nerve branches in the arm and forearm of 7 subjects with poststroke paresis. The microstimulators' position should remain stable with no tissue infection and can be programmed to produce effective personalized functional muscle activity with no discomfort for a preliminary 12-week study. Clinical testing, before and after the study, is reported in the accompanying study. SETTING: Microstimulator implantations in a sterile operating room. PARTICIPANTS: Seven adults, with poststroke hemiparesis of 12 months or more. INTERVENTION: Under local anesthesia, a stimulating probe was inserted to identify radial nerve branches. Microstimulators were inserted by using an introducer and were retrievable for 6 days by attached suture. Each device was powered via a radiofrequency link from 2 external cuff coils connected to a control unit. MAIN OUTCOME MEASURES: To achieve low threshold values at the target sites with minimal implant discomfort. Microstimulators and external equipment were monitored over 12 weeks of exercise. RESULTS: Seven subjects were implanted with 41 microstimulators, 5 to 7 per subject, taking 3.5 to 6 hours. Implantation pain levels were 20% more than anticipated. No infections or microstimulator failures occurred. Mean nerve thresholds ranged between 4.0 to 7.7 microcoulomb/cm(2)/phase over 90 days, indicating that cathodes were within 2 to 4 mm of target sites. In 1 subject, 2 additional microstimulators were inserted. CONCLUSIONS: Microstimulators were safely implanted with no infection or failure. The system was reliable and programmed effectively to perform exercises at home for functional restoration.

Discovering how to think about a hospital patient information system by struggling to evaluate it: a committee's journal.

Parallel to the monumental problem of replacing paper-and-pen-based patient information management systems with electronic ones is the problem of evaluating the extent to which the change represents an improvement. All clinicians must grapple with this daunting challenge; those with little or no informatics expertise may be particularly surprised by the attendant difficulties. To do so successfully, they must be able to explicitly conceptualize the daily clinical work-a prerequisite for appreciating and reasonably evaluating it. Further, few of these evaluators may have reflected on the dynamic interaction between their work and their tools-how changing a tool necessarily changes the work. This article illuminates these problems by telling the story of how one patient care information systems committee first learned to think about the purpose of a patient information management system, and second, how to evaluate the impact of its implementation.

A 1000+ channel bionic communication system.

The wireless electronic nervous system interface known as the functional electrical stimulation-battery powered bion system is being developed at the Alfred Mann Foundation. It contains a real-time propagated wave micro-powered multichannel communication system. This system is designed to send bi-directional messages between an external master controller unit (MCU), and each one of a group of injectable stimulator-sensor battery powered bion implants (BPB). The system is capable of communicating in each direction about 90 times per second using a structure of 850 time slots within a repeating 11 millisecond time window. The system's total Time Division Multiple Access (TDMA) communication capability is about 77,000 two-way communications per second on a single 5 MHz wide radio channel. Each time slot can be used by one BPB, or shared alternately by two or more BPBs. Each bidirectional communication consists of a 15 data bit message sent from the MCU sequentially to each BPB and 10 data bit message sent sequentially from each BPB to the MCU. Redundancy bits are included to provide error detection and correction. This communication system is designed to draw only a few microamps from the 3.6 volt, 3.0 mAHr lithium ion (LiIon) battery contained in each BPB, and the majority of the communications circuitry is contained within a 1.4x5 mm integrated circuit.