SOCR Data NIPS InfantVitK ShotData

Summary

These data include 79 babies (infants) in a control group (NC) and 79 babies in the intervention (Interv) group. The control group babes were handled using conventional methods. The intervention group babies were held by their mothers prior to, and during the administering of the shot -- “Kangaroo Care”. NIPS scores were recorded immediately after the shot was administered, after 30 seconds, one minute, and two minutes.

Background

Nurses at Northbay Healthcare participate in an Evidence Based Practice (EBP) program. The purpose of EBP is to research and implement improvements in nursing care, and then to gauge the success these changes using statistical methods. In one study, they introduced changes in the way newborn babies are handled. The goal is to reduce pain experienced by the infants resulting from their vitamin K shot. Supervising nurses assessed a newborn's pain using a scale known as a Neonatal Infant Pain Score (NIPS). NIPS scores range from 0 to 7, and are obtained by observing the infant's bodily reactions.

Classroom use of this data set

Body Mass Index

This data set can be used to illustrate (multivariate, logistic) regression analyses, non-parametric tests, and diverse array of exploratory data analyses.

Data Description

The body density dataset includes the following 15 variables listed from left to right:

• Index: Index of the observation (random ordering within each group, group 1 followed by group 2)
• Group_NC1_Interv2: Index of the group: NC=1; Intervention=2
• Immediate: NIPS assessment of pain at time of vitamin K shot (t=0)
• 30_Sec_Later: NIPS assessment of pain 30 seconds after the vitamin K shot (t=30)
• 60_Sec_Later: NIPS assessment of pain 60 seconds after the vitamin K shot (t=60)
• 120_Sec_Later: NIPS assessment of pain 120 seconds after the vitamin K shot (t=120)
• Total_Cry_Time: The total try time (in seconds)
• Cluster: This is an automatically derived clustering measure using all variables except Group_NC1_Interv2 and based on Hierarchical Clustering/FactoMineR algorithm.

Data Table

Index	Group_NC1_Interv2	Immediate	30_Sec_Later	60_Sec_Later	120_Sec_Later	Total_Cry_Time	Cluster
1	1	6	7	6	2	63	3
2	1	5	1	2	0	0	3
3	1	7	6	6	7	54	3
4	1	3	7	3	0	27	3
5	1	7	5	6	0	19	3
6	1	6	6	6	2	2	3
7	1	7	7	6	0	46	3
8	1	6	7	0	0	33	3
9	1	5	0	4	0	56	3
10	1	7	7	7	6	63	3
11	1	7	6	2	2	33	3
12	1	4	4	0	1	19	3
13	1	7	6	3	0	37	3
14	1	7	0	4	0	68	3
15	1	7	6	7	0	73	3
16	1	7	7	3	4	29	3
17	1	7	6	6	0	59	3
18	1	7	3	0	0	20	3
19	1	7	2	0	0	35	3
20	1	6	5	7	4	80	3
21	1	7	0	0	2	20	3
22	1	7	7	7	7	81	3
23	1	0	7	0	0	65	1
24	1	7	0	7	4	46	3
25	1	7	7	6	0	84	3
26	1	7	6	0	0	44	3
27	1	7	7	3	4	23	3
28	1	7	1	0	0	17	3
29	1	7	0	1	1	12	3
30	1	6	5	5	5	33	3
31	1	7	2	5	6	45	3
32	1	7	0	0	1	11	3
33	1	7	4	0	4	12	3
34	1	4	0	0	0	3	3
35	1	6	2	7	6	48	3
36	1	7	3	0	0	15	3
37	1	7	6	5	5	50	3
38	1	7	3	0	6	22	3
39	1	7	7	7	7	86	3
40	1	7	3	3	3	30	3
41	1	7	7	5	7	73	3
42	1	6	5	0	0	20	3
43	1	7	3	4	0	25	3
44	1	7	0	6	6	26	3
45	1	6	6	5	0	66	3
46	1	7	0	0	0	14	3
47	1	7	2	0	0	4	3
48	1	7	6	6	6	33	3
49	1	7	7	7	6	48	3
50	1	7	0	1	0	22	3
51	1	7	7	7	3	47	3
52	1	7	3	0	0	14	3
53	1	5	7	6	0	51	3
54	1	7	0	0	0	15	3
55	1	7	3	3	3	37	3
56	1	5	6	7	4	24	3
57	1	7	4	7	3	39	3
58	1	6	7	7	6	70	3
59	1	7	2	0	0	48	3
60	1	7	7	0	5	42	3
61	1	7	3	7	1	63	3
62	1	7	0	3	0	23	3
63	1	7	7	6	3	58	3
64	1	7	3	0	0	10	3
65	1	0	0	0	0	0	1
66	1	3	0	0	0	0	3
67	1	7	7	7	5	73	3
68	1	7	7	7	6	39	3
69	1	7	7	7	7	54	3
70	1	7	2	6	5	52	3
71	1	6	4	6	0	39	3
72	1	7	7	3	0	61	3
73	1	7	3	0	0	34	3
74	1	7	7	6	6	30	3
75	1	7	7	7	3	100	3
76	1	7	6	5	2	55	3
77	1	7	5	4	0	58	3
78	1	7	5	5	0	49	3
79	1	7	5	2	0	18	3
80	2	1	0	0	0	0	1
81	2	0	0	0	0	13	1
82	2	1	0	1	0	0	1
83	2	5	3	4	1	32	2
84	2	3	0	0	0	0	1
85	2	7	4	1	0	36	2
86	2	5	5	1	0	20	2
87	2	5	3	4	2	23	2
88	2	7	6	3	1	39	2
89	2	1	0	1	1	14	1
90	2	7	0	4	4	54	2
91	2	4	0	0	0	36	2
92	2	2	0	0	0	0	1
93	2	7	6	0	6	29	2
94	2	7	1	0	1	11	2
95	2	4	0	0	0	5	2
96	2	7	7	5	2	64	2
97	2	7	7	1	2	52	2
98	2	7	7	1	0	19	2
99	2	5	2	2	1	28	2
100	2	7	4	0	0	22	2
101	2	7	7	6	0	68	2
102	2	7	6	0	0	39	2
103	2	7	7	7	0	60	2
104	2	7	7	7	3	78	2
105	2	6	0	0	0	11	2
106	2	7	6	0	0	59	2
107	2	7	4	4	0	28	2
108	2	7	7	7	1	64	2
109	2	7	0	0	0	8	2
110	2	5	0	1	3	64	2
111	2	7	5	7	7	72	2
112	2	4	2	0	2	50	2
113	2	7	6	7	0	44	2
114	2	7	1	0	0	11	2
115	2	7	3	0	0	16	2
116	2	7	0	0	0	30	2
117	2	5	4	5	0	14	2
118	2	2	7	0	0	10	1
119	2	2	0	0	1	20	1
120	2	3	0	0	0	7	1
121	2	7	2	2	2	10	2
122	2	7	6	5	2	58	2
123	2	7	1	0	0	19	2
124	2	2	6	0	1	41	1
125	2	7	3	0	0	17	2
126	2	5	2	2	0	5	2
127	2	7	5	0	2	49	2
128	2	7	2	0	0	36	2
129	2	4	0	4	4	73	2
130	2	4	1	0	0	19	2
131	2	4	7	3	0	40	2
132	2	7	4	6	1	43	2
133	2	5	0	4	0	22	2
134	2	7	3	1	0	32	2
135	2	7	7	3	0	70	2
136	2	7	5	0	3	35	2
137	2	7	7	5	0	35	2
138	2	7	6	6	0	35	2
139	2	7	0	0	0	8	2
140	2	5	0	0	0	5	2
141	2	7	1	0	0	33	2
142	2	7	7	4	0	46	2
143	2	7	4	0	0	15	2
144	2	5	7	0	0	11	2
145	2	6	0	0	0	9	2
146	2	6	0	0	0	12	2
147	2	7	0	0	0	2	2
148	2	7	7	3	0	43	2
149	2	7	7	2	2	73	2
150	2	7	6	4	0	38	2
151	2	7	4	0	0	11	2
152	2	7	7	7	3	60	2
153	2	7	1	0	0	27	2
154	2	7	0	0	0	25	2
155	2	6	6	2	0	2	2
156	2	7	0	0	0	12	2
157	2	1	0	0	0	0	1
158	2	2	0	0	0	18	1

References

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• SOCR Home page: http://www.SOCR.ucla.edu

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